Can Signature Biometrics Address Both Identification and Verification Problems? - Salman H. Khan 001; Zeashan Khan; Faisal Shafait (ICDAR, 2013)

Trial-by-Trial Adaptation of Movements during Mental Practice under Force Field. - Muhammad Nabeel Anwar; Salman Hameed Khan (Comput. Math. Methods Medicine, 2013)

Automatic Feature Learning for Robust Shadow Detection. - Salman Hameed Khan; Mohammed Bennamoun; Ferdous Ahmed Sohel; Roberto Togneri (CVPR, 2014)

Geometry Driven Semantic Labeling of Indoor Scenes. - Salman Hameed Khan; Mohammed Bennamoun; Ferdous Ahmed Sohel; Roberto Togneri (ECCV (1), 2014)

Optimized Reconfigurable Autopilot Design for an Aerospace CPS. - Arsalan H. Khan; Zeashan H. Khan; Salman H. Khan 001 (Computational Intelligence for Decision Support in Cyber-Physical Systems, 2014)

Separating objects and clutter in indoor scenes. - Salman Hameed Khan; Xuming He 001; Mohammed Bennamoun; Ferdous Ahmed Sohel; Roberto Togneri (CVPR, 2015)

Multi-Factor Authentication on Cloud. - Salman H. Khan 001; Muhammad Ali Akbar (DICTA, 2015)

Contractive Rectifier Networks for Nonlinear Maximum Margin Classification. - Senjian An; Munawar Hayat; Salman H. Khan 001; Mohammed Bennamoun; Farid Boussaïd; Ferdous Ahmed Sohel (ICCV, 2015)

Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data. - Salman Hameed Khan; Mohammed Bennamoun; Ferdous Ahmed Sohel; Roberto Togneri (CoRR, 2015)

Secure biometric template generation for multi-factor authentication. - Salman H. Khan 001; Muhammad Ali Akbar; Farrukh Shahzad 002; Muddassar Farooq; Zeashan H. Khan (Pattern Recognit., 2015)

Weakly Supervised Change Detection in a Pair of Images. - Salman Hameed Khan; Xuming He 001; Mohammed Bennamoun; Fatih Porikli; Ferdous Ahmed Sohel; Roberto Togneri (CoRR, 2016)

Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images. - Salman Hameed Khan; Mohammed Bennamoun; Ferdous Ahmed Sohel; Roberto Togneri; Imran Naseem (Int. J. Comput. Vis., 2016)

Automatic Shadow Detection and Removal from a Single Image. - Salman Hameed Khan; Mohammed Bennamoun; Ferdous Ahmed Sohel; Roberto Togneri (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification. - Munawar Hayat; Salman H. Khan 001; Mohammed Bennamoun; Senjian An (IEEE Trans. Image Process., 2016)

A Discriminative Representation of Convolutional Features for Indoor Scene Recognition. - Salman H. Khan 001; Munawar Hayat; Mohammed Bennamoun; Roberto Togneri; Ferdous Ahmed Sohel (IEEE Trans. Image Process., 2016)

Joint Registration and Representation Learning for Unconstrained Face Identification. - Munawar Hayat; Salman H. Khan 001; Naoufel Werghi; Roland Goecke (CVPR, 2017)

Scene Categorization with Spectral Features. - Salman H. Khan 001; Munawar Hayat; Fatih Porikli (ICCV, 2017)

Learning deep structured network for weakly supervised change detection. - Salman Hameed Khan; Xuming He 001; Fatih Porikli; Mohammed Bennamoun; Ferdous Ahmed Sohel; Roberto Togneri (IJCAI, 2017)

Let Features Decide for Themselves: Feature Mask Network for Person Re-identification. - Guodong Ding; Salman Hameed Khan; Zhenmin Tang; Fatih Porikli (CoRR, 2017)

Empowering Simple Binary Classifiers for Image Set Based Face Recognition. - Munawar Hayat; Salman H. Khan 001; Mohammed Bennamoun (Int. J. Comput. Vis., 2017)

Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks. - Salman Hameed Khan; Xuming He 001; Fatih Porikli; Mohammed Bennamoun (IEEE Trans. Geosci. Remote. Sens., 2017)

Deep Multiple Instance Learning for Zero-Shot Image Tagging. - Shafin Rahman; Salman H. Khan 001 (ACCV (1), 2018)

Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts. - Shafin Rahman; Salman H. Khan 001; Fatih Porikli (ACCV (1), 2018)

Reciprocal Attention Fusion for Visual Question Answering. - Moshiur R. Farazi; Salman H. Khan 001 (BMVC, 2018)

A Context-Aware Capsule Network for Multi-label Classification. - Sameera Ramasinghe; C. D. Athuraliya; Salman H. Khan 001 (ECCV Workshops (3), 2018)

Center Based Pseudo-Labeling For Semi-Supervised Person Re-Identification. - Guodong Ding; Shanshan Zhang 001; Salman H. Khan 001; Zhenmin Tang (ICME Workshops, 2018)

Unsupervised Learning of Endoscopy Video Frames' Correspondences from Global and Local Transformation. - Mohammad Ali Armin; Nick Barnes; Salman H. Khan 001; Miaomiao Liu; Florian Grimpen; Olivier Salvado (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation. - Salman H. Khan 001; Munawar Hayat; Nick Barnes (WACV, 2018)

Indoor Scene Understanding in 2.5/3D: A Survey. - Muzammal Naseer; Salman Hameed Khan; Fatih Porikli (CoRR, 2018)

Polarity Loss for Zero-shot Object Detection. - Shafin Rahman; Salman H. Khan 001; Nick Barnes (CoRR, 2018)

Distorting Neural Representations to Generate Highly Transferable Adversarial Examples. - Muzammal Naseer; Salman Hameed Khan; Shafin Rahman; Fatih Porikli (CoRR, 2018)

A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning. - Shafin Rahman; Salman Hameed Khan; Fatih Porikli (IEEE Trans. Image Process., 2018)

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data. - Salman H. Khan 001; Munawar Hayat; Mohammed Bennamoun; Ferdous Ahmed Sohel; Roberto Togneri (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Guide to Convolutional Neural Networks for Computer Vision - Salman Hameed Khan; Hossein Rahmani 001; Syed Afaq Ali Shah; Mohammed Bennamoun (Morgan & Claypool Publishers, 2018)

Dispersion based Clustering for Unsupervised Person Re-identification. - Guodong Ding; Salman H. Khan 001; Zhenmin Tang (BMVC, 2019)

NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. - Abdelrahman Abdelhamed; Radu Timofte; Michael S. Brown; Songhyun Yu; Bumjun Park; Jechang Jeong; Seung-Won Jung; Dong-Wook Kim; Jae Ryun Chung; Jiaming Liu; Yuzhi Wang; Chi-Hao Wu 001; et al. (CVPR Workshops, 2019)

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. - Jianrui Cai; Shuhang Gu; Radu Timofte; Lei Zhang 006; Xiao Liu 022; Yukang Ding; Dongliang He; Chao Li 034; Yi Fu; Shilei Wen; Ruicheng Feng; Jinjin Gu; et al. (CVPR Workshops, 2019)

NTIRE 2019 Challenge on Image Enhancement: Methods and Results. - Andrey Ignatov; Radu Timofte; Xiaochao Qu; Xingguang Zhou; Ting Liu; Pengfei Wan 001; Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Dongwon Park; et al. (CVPR Workshops, 2019)

Unsupervised Primitive Discovery for Improved 3D Generative Modeling. - Salman H. Khan 001; Yulan Guo; Munawar Hayat; Nick Barnes (CVPR, 2019)

Striking the Right Balance With Uncertainty. - Salman H. Khan 001; Munawar Hayat; Syed Waqas Zamir; Jianbing Shen; Ling Shao 001 (CVPR, 2019)

NTIRE 2019 Challenge on Video Deblurring: Methods and Results. - Seungjun Nah; Radu Timofte; Sungyong Baik; Seokil Hong; Gyeongsik Moon; Sanghyun Son 002; Kyoung Mu Lee; Xintao Wang 002; Kelvin C. K. Chan; Ke Yu; Chao Dong 005; Chen Change Loy; et al. (CVPR Workshops, 2019)

iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. - Syed Waqas Zamir; Aditya Arora; Akshita Gupta; Salman H. Khan 001; Guolei Sun; Fahad Shahbaz Khan; Fan Zhu 001; Ling Shao 001; Gui-Song Xia; Xiang Bai (CVPR Workshops, 2019)

Historical Document Text Binarization using Atrous Convolution and Multi-Scale Feature Decoder. - Hanif Rasyidi; Salman H. Khan 001 (DICTA, 2019)

Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss. - Sudong Cai; Yulan Guo; Salman H. Khan 001; Jiwei Hu; Gongjian Wen (ICCV, 2019)

Gaussian Affinity for Max-Margin Class Imbalanced Learning. - Munawar Hayat; Salman H. Khan 001; Syed Waqas Zamir; Jianbing Shen; Ling Shao 001 (ICCV, 2019)

Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks. - Aamir Mustafa; Salman H. Khan 001; Munawar Hayat; Roland Goecke; Jianbing Shen; Ling Shao 001 (ICCV, 2019)

Transductive Learning for Zero-Shot Object Detection. - Shafin Rahman; Salman H. Khan 001; Nick Barnes (ICCV, 2019)

Silhouette-Assisted 3D Object Instance Reconstruction from a Cluttered Scene. - Lin Li; Salman H. Khan 001; Nick Barnes (ICCV Workshops, 2019)

Cross-Domain Transferability of Adversarial Perturbations. - Muzammal Naseer; Salman H. Khan 001; Muhammad Haris Khan; Fahad Shahbaz Khan; Fatih Porikli (NeurIPS, 2019)

Random Path Selection for Continual Learning. - Jathushan Rajasegaran; Munawar Hayat; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001 (NeurIPS, 2019)

Local Gradients Smoothing: Defense Against Localized Adversarial Attacks. - Muzammal Naseer; Salman H. Khan 001; Fatih Porikli (WACV, 2019)

Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey. - Muzammal Naseer; Salman H. Khan 001; Fatih Porikli (IEEE Access, 2019)

Volumetric Convolution: Automatic Representation Learning in Unit Ball. - Sameera Ramasinghe; Salman H. Khan 001; Nick Barnes (CoRR, 2019)

Striking the Right Balance with Uncertainty. - Salman H. Khan 001; Munawar Hayat; Waqas Zamir; Jianbing Shen; Ling Shao 001 (CoRR, 2019)

Max-margin Class Imbalanced Learning with Gaussian Affinity. - Munawar Hayat; Salman H. Khan 001; Waqas Zamir; Jianbing Shen; Ling Shao 001 (CoRR, 2019)

Random Path Selection for Incremental Learning. - Jathushan Rajasegaran; Munawar Hayat; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001 (CoRR, 2019)

Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification. - Guodong Ding; Salman H. Khan 001; Zhenmin Tang; Jian Zhang 002; Fatih Porikli (CoRR, 2019)

Human vs Machine Attention in Neural Networks: A Comparative Study. - Qiuxia Lai; Wenguan Wang; Salman H. Khan 001; Jianbing Shen; Hanqiu Sun; Ling Shao 001 (CoRR, 2019)

Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs. - Taimur Hassan; Salman H. Khan 001; Samet Akcay; Mohammed Bennamoun; Naoufel Werghi (CoRR, 2019)

Regularization of deep neural networks with spectral dropout. - Salman H. Khan 001; Munawar Hayat; Fatih Porikli (Neural Networks, 2019)

Feature Affinity-Based Pseudo Labeling for Semi-Supervised Person Re-Identification. - Guodong Ding; Shanshan Zhang 001; Salman H. Khan 001; Zhenmin Tang; Jian Zhang 002; Fatih Porikli (IEEE Trans. Multim., 2019)

Improved Visual-Semantic Alignment for Zero-Shot Object Detection. - Shafin Rahman; Salman H. Khan 001; Nick Barnes (AAAI, 2020)

Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes. - Guolei Sun; Hisham Cholakkal; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001 (AAAI, 2020)

Synthesizing the Unseen for Zero-Shot Object Detection. - Nasir Hayat; Munawar Hayat; Shafin Rahman; Salman H. Khan 001; Syed Waqas Zamir; Fahad Shahbaz Khan (ACCV (3), 2020)

Any-Shot Object Detection. - Shafin Rahman; Salman H. Khan 001; Nick Barnes; Fahad Shahbaz Khan (ACCV (3), 2020)

AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. - Muhammad Haris Khan; John McDonagh; Salman H. Khan 001; Muhammad Shahabuddin; Aditya Arora; Fahad Shahbaz Khan; Ling Shao 001; Georgios Tzimiropoulos (CVPR, 2020)

Geometry to the Rescue: 3D Instance Reconstruction from a Cluttered Scene. - Lin Li; Salman H. Khan 001; Nick Barnes (CVPR Workshops, 2020)

A Self-supervised Approach for Adversarial Robustness. - Muzammal Naseer; Salman H. Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Fatih Porikli (CVPR, 2020)

iTAML: An Incremental Task-Agnostic Meta-learning Approach. - Jathushan Rajasegaran; Salman H. Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Mubarak Shah (CVPR, 2020)

Semi-Supervised Learning for Few-Shot Image-to-Image Translation. - Yaxing Wang; Salman H. Khan 001; Abel Gonzalez-Garcia; Joost van de Weijer 001; Fahad Shahbaz Khan (CVPR, 2020)

CycleISP: Real Image Restoration via Improved Data Synthesis. - Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Ming-Hsuan Yang 001; Ling Shao 001 (CVPR, 2020)

Fixing Localization Errors to Improve Image Classification. - Guolei Sun; Salman H. Khan 001; Wen Li 001; Hisham Cholakkal; Fahad Shahbaz Khan; Luc Van Gool (ECCV (25), 2020)

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. - Pengxu Wei; Hannan Lu; Radu Timofte; Liang Lin 004; Wangmeng Zuo; Zhihong Pan 001; Baopu Li; Teng Xi; Yanwen Fan; Gang Zhang; Jingtuo Liu; Junyu Han; et al. (ECCV Workshops (3), 2020)

Learning Enriched Features for Real Image Restoration and Enhancement. - Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Ming-Hsuan Yang 001; Ling Shao 001 (ECCV (25), 2020)

Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach. - Taimur Hassan; Meriem Bettayeb; Samet Akçay; Salman H. Khan 001; Mohammed Bennamoun; Naoufel Werghi (ICIP, 2020)

Question-Agnostic Attention for Visual Question Answering. - Moshiur R. Farazi; Salman H. Khan 001; Nick Barnes (ICPR, 2020)

Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification. - Sameera Ramasinghe; Salman H. Khan 001; Nick Barnes (ICPRAM, 2020)

Spectral-GANs for High-Resolution 3D Point-cloud Generation. - Sameera Ramasinghe; Salman H. Khan 001; Nick Barnes; Stephen Gould (IROS, 2020)

Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. - Sameera Ramasinghe; Salman H. Khan 001; Nick Barnes; Stephen Gould (WACV, 2020)

A New Localization Objective for Accurate Fine-Grained Affordance Segmentation Under High-Scale Variations. - Mohammed Hassanin; Salman H. Khan 001; Murat Tahtali (IEEE Access, 2020)

Filling the Gaps in Atrous Convolution: Semantic Segmentation With a Better Context. - Liyuan Liu; Yanwei Pang; Syed Waqas Zamir; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001 (IEEE Access, 2020)

Incremental Object Detection via Meta-Learning. - K. J. Joseph; Jathushan Rajasegaran; Salman H. Khan 001; Fahad Shahbaz Khan; Vineeth Balasubramanian; Ling Shao 001 (CoRR, 2020)

Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans. - Taimur Hassan; Samet Akcay; Mohammed Bennamoun; Salman H. Khan 001; Naoufel Werghi (CoRR, 2020)

Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion. - Taimur Hassan; Samet Akcay; Mohammed Bennamoun; Salman H. Khan 001; Naoufel Werghi (CoRR, 2020)

Attention Guided Semantic Relationship Parsing for Visual Question Answering. - Moshiur R. Farazi; Salman H. Khan 001; Nick Barnes (CoRR, 2020)

How to train your conditional GAN: An approach using geometrically structured latent manifolds. - Sameera Ramasinghe; Moshiur R. Farazi; Salman H. Khan 001; Nick Barnes; Stephen Gould (CoRR, 2020)

Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts. - Shafin Rahman; Salman H. Khan 001; Fatih Porikli (Int. J. Comput. Vis., 2020)

Representation Learning on Unit Ball with 3D Roto-translational Equivariance. - Sameera Ramasinghe; Salman H. Khan 001; Nick Barnes; Stephen Gould (Int. J. Comput. Vis., 2020)

From known to the unknown: Transferring knowledge to answer questions about novel visual and semantic concepts. - Moshiur R. Farazi; Salman H. Khan 001; Nick Barnes (Image Vis. Comput., 2020)

Feature mask network for person re-identification. - Guodong Ding; Salman H. Khan 001; Zhenmin Tang; Fatih Porikli (Pattern Recognit. Lett., 2020)

Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats. - Taimur Hassan; Muhammad Shafay; Samet Akçay; Salman H. Khan 001; Mohammed Bennamoun; Ernesto Damiani; Naoufel Werghi (Sensors, 2020)

Image Super-Resolution as a Defense Against Adversarial Attacks. - Aamir Mustafa; Salman H. Khan 001; Munawar Hayat; Jianbing Shen; Ling Shao 001 (IEEE Trans. Image Process., 2020)

Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging. - Shafin Rahman; Salman H. Khan 001; Nick Barnes (IEEE Trans. Multim., 2020)

Spatiotemporal Deformable Scene Graphs for Complex Activity Detection. - Salman Khan 001; Fabio Cuzzolin (BMVC, 2021)

Rich Semantics Improve Few-Shot Learning. - Mohamed Afham; Salman Khan 001; Muhammad Haris Khan; Muzammal Naseer; Fahad Shahbaz Khan (BMVC, 2021)

Mode-Guided Feature Augmentation for Domain Generalization. - Muhammad Haris Khan; Syed Muhammad talha Zaidi; Salman Khan 001; Fahad Shahbaz Khan (BMVC, 2021)

Self-supervised Knowledge Distillation for Few-shot Learning. - Jathushan Rajasegaran; Salman Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Mubarak Shah (BMVC, 2021)

Meta-learning the Learning Trends Shared Across Tasks. - Jathushan Rajasegaran; Salman Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Mubarak Shah (BMVC, 2021)

Towards Open World Object Detection. - K. J. Joseph; Salman H. Khan 001; Fahad Shahbaz Khan; Vineeth N. Balasubramanian (CVPR, 2021)

Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. - Mamshad Nayeem Rizve; Salman H. Khan 001; Fahad Shahbaz Khan; Mubarak Shah (CVPR, 2021)

Multi-Stage Progressive Image Restoration. - Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Ming-Hsuan Yang 001; Ling Shao 001 (CVPR, 2021)

Handwriting Transformers. - Ankan Kumar Bhunia; Salman H. Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Fahad Shahbaz Khan; Mubarak Shah (ICCV, 2021)

Discriminative Region-based Multi-Label Zero-Shot Learning. - Sanath Narayan; Akshita Gupta; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Mubarak Shah (ICCV, 2021)

On Generating Transferable Targeted Perturbations. - Muzammal Naseer; Salman H. Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Fatih Porikli (ICCV, 2021)

Orthogonal Projection Loss. - Kanchana Ranasinghe; Muzammal Naseer; Munawar Hayat; Salman H. Khan 001; Fahad Shahbaz Khan (ICCV, 2021)

Conditional Generative Modeling via Learning the Latent Space. - Sameera Ramasinghe; Kanchana Nisal Ranasinghe; Salman H. Khan 001; Nick Barnes; Stephen Gould (ICLR, 2021)

Intriguing Properties of Vision Transformers. - Muzammal Naseer; Kanchana Ranasinghe; Salman Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Ming-Hsuan Yang 001 (NeurIPS, 2021)

Rethinking conditional GAN training: An approach using geometrically structured latent manifolds. - Sameera Ramasinghe; Moshiur R. Farazi; Salman H. Khan 001; Nick Barnes; Stephen Gould (NeurIPS, 2021)

Multi-modal Transformers Excel at Class-agnostic Object Detection. - Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman H. Khan 001; Fahad Shahbaz Khan; Rao Muhammad Anwer; Ming-Hsuan Yang 001 (CoRR, 2021)

A Deep Journey into Super-resolution: A Survey. - Saeed Anwar; Salman H. Khan 001; Nick Barnes (ACM Comput. Surv., 2021)

Learning digital camera pipeline for extreme low-light imaging. - Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001 (Neurocomputing, 2021)

Historical document image binarization via style augmentation and atrous convolutions. - Hanif Rasyidi; Salman H. Khan 001 (Neural Comput. Appl., 2021)

Deeply Supervised Discriminative Learning for Adversarial Defense. - Aamir Mustafa; Salman H. Khan 001; Munawar Hayat; Roland Goecke; Jianbing Shen; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Accuracy vs. complexity: A trade-off in visual question answering models. - Moshiur R. Farazi; Salman H. Khan 001; Nick Barnes (Pattern Recognit., 2021)

Understanding More About Human and Machine Attention in Deep Neural Networks. - Qiuxia Lai; Salman H. Khan 001; Yongwei Nie; Hanqiu Sun; Jianbing Shen; Ling Shao 001 (IEEE Trans. Multim., 2021)

Self-distilled Vision Transformer for Domain Generalization. - Maryam Sultana; Muzammal Naseer; Muhammad Haris Khan; Salman H. Khan 001; Fahad Shahbaz Khan (ACCV (2), 2022)

Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations. - Hashmat Shadab Malik; Shahina K. Kunhimon; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (BMVC, 2022)

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. - Mubashir Noman; Wafa Al Ghallabi; Daniya Kareem; Christoph Mayer 007; Akshay Dudhane; Martin Danelljan; Hisham Cholakkal; Salman Khan 001; Luc Van Gool; Fahad Shahbaz Khan (BMVC, 2022)

Robust normalizing flows using Bernstein-type polynomials. - Sameera Ramasinghe; Kasun Fernando; Salman Khan 001; Nick Barnes (BMVC, 2022)

NTIRE 2022 Burst Super-Resolution Challenge. - Goutam Bhat; Martin Danelljan; Radu Timofte; Yizhen Cao; Yuntian Cao; Meiya Chen; Xihao Chen; Shen Cheng; Akshay Dudhane; Haoqiang Fan; Ruipeng Gang; Jian Gao 008; et al. (CVPR Workshops, 2022)

Burst Image Restoration and Enhancement. - Akshay Dudhane; Syed Waqas Zamir; Salman Khan 001; Fahad Shahbaz Khan; Ming-Hsuan Yang 001 (CVPR, 2022)

OW-DETR: Open-world Detection Transformer. - Akshita Gupta; Sanath Narayan; K. J. Joseph; Salman Khan 001; Fahad Shahbaz Khan; Mubarak Shah (CVPR, 2022)

Energy-based Latent Aligner for Incremental Learning. - K. J. Joseph; Salman Khan 001; Fahad Shahbaz Khan; Rao Muhammad Anwer; Vineeth N. Balasubramanian (CVPR, 2022)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CVPR Workshops, 2022)

Adaptive Feature Consolidation Network for Burst Super-Resolution. - Nancy Mehta; Akshay Dudhane; Subrahmanyam Murala; Syed Waqas Zamir; Salman Khan 001; Fahad Shahbaz Khan (CVPR Workshops, 2022)

Self-supervised Video Transformer. - Kanchana Ranasinghe; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan; Michael S. Ryoo (CVPR, 2022)

Spatio-temporal Relation Modeling for Few-shot Action Recognition. - Anirudh Thatipelli; Sanath Narayan; Salman Khan 001; Rao Muhammad Anwer; Fahad Shahbaz Khan; Bernard Ghanem (CVPR, 2022)

Restormer: Efficient Transformer for High-Resolution Image Restoration. - Syed Waqas Zamir; Aditya Arora; Salman Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Ming-Hsuan Yang 001 (CVPR, 2022)

DoodleFormer: Creative Sketch Drawing with Transformers. - Ankan Kumar Bhunia; Salman Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Fahad Shahbaz Khan; Jorma Laaksonen; Michael Felsberg (ECCV (17), 2022)

Learning Disentanglement with Decoupled Labels for Vision-Language Navigation. - Wenhao Cheng; Xingping Dong; Salman H. Khan 001; Jianbing Shen (ECCV (36), 2022)

Class-Agnostic Object Detection with Multi-modal Transformer. - Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman Khan 001; Fahad Shahbaz Khan; Rao Muhammad Anwer; Ming-Hsuan Yang 001 (ECCV (10), 2022)

EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications. - Muhammad Maaz 001; Abdelrahman M. Shaker; Hisham Cholakkal; Salman H. Khan 001; Syed Waqas Zamir; Rao Muhammad Anwer; Fahad Shahbaz Khan (ECCV Workshops (7), 2022)

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. - Mamshad Nayeem Rizve; Navid Kardan; Salman Khan 001; Fahad Shahbaz Khan; Mubarak Shah (ECCV (31), 2022)

Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer. - Omkar Thawakar; Sanath Narayan; Jiale Cao; Hisham Cholakkal; Rao Muhammad Anwer; Muhammad Haris Khan; Salman Khan 001; Michael Felsberg; Fahad Shahbaz Khan (ECCV (29), 2022)

On Improving Adversarial Transferability of Vision Transformers. - Muzammal Naseer; Kanchana Ranasinghe; Salman Khan 001; Fahad Shahbaz Khan; Fatih Porikli (ICLR, 2022)

Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection. - Hanoona Abdul Rasheed; Muhammad Maaz 001; Muhammad Uzair Khattak; Salman H. Khan 001; Fahad Shahbaz Khan (NeurIPS, 2022)

An Investigation into Whitening Loss for Self-supervised Learning. - Xi Weng; Lei Huang 015; Lei Zhao; Rao Muhammad Anwer; Salman H. Khan 001; Fahad Shahbaz Khan (NeurIPS, 2022)

Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging. - Jyoti Kini; Fahad Shahbaz Khan; Salman Khan 001; Mubarak Shah (CoRR, 2022)

3D Vision with Transformers: A Survey. - Jean Lahoud; Jiale Cao; Fahad Shahbaz Khan; Hisham Cholakkal; Rao Muhammad Anwer; Salman Khan 001; Ming-Hsuan Yang 001 (CoRR, 2022)

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. - Mubashir Noman; Wafa Al Ghallabi; Daniya Najiha; Christoph Mayer 007; Akshay Dudhane; Martin Danelljan; Hisham Cholakkal; Salman Khan 001; Luc Van Gool; Fahad Shahbaz Khan (CoRR, 2022)

CLIP model is an Efficient Continual Learner. - Vishal Thengane; Salman Khan 001; Munawar Hayat; Fahad Shahbaz Khan (CoRR, 2022)

Guidance Through Surrogate: Towards a Generic Diagnostic Attack. - Muzammal Naseer; Salman Khan 001; Fatih Porikli; Fahad Shahbaz Khan (CoRR, 2022)

Visual Affordance and Function Understanding: A Survey. - Mohammed Hassanin; Salman H. Khan 001; Murat Tahtali (ACM Comput. Surv., 2022)

Learning discriminative representations for multi-label image recognition. - Mohammed Hassanin; Ibrahim Radwan; Salman H. Khan 001; Murat Tahtali (J. Vis. Commun. Image Represent., 2022)

Tensor pooling-driven instance segmentation framework for baggage threat recognition. - Taimur Hassan; Samet Akçay; Mohammed Bennamoun; Salman H. Khan 001; Naoufel Werghi (Neural Comput. Appl., 2022)

Towards Partial Supervision for Generic Object Counting in Natural Scenes. - Hisham Cholakkal; Guolei Sun; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Incremental Object Detection via Meta-Learning. - K. J. Joseph; Jathushan Rajasegaran; Salman H. Khan 001; Fahad Shahbaz Khan; Vineeth N. Balasubramanian (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Weakly Supervised Visual Saliency Prediction. - Qiuxia Lai; Tianfei Zhou; Salman H. Khan 001; Hanqiu Sun; Jianbing Shen; Ling Shao 001 (IEEE Trans. Image Process., 2022)

A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items. - Taimur Hassan; Samet Akcay; Mohammed Bennamoun; Salman H. Khan 001; Naoufel Werghi (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Transformers in Vision: A Survey. - Salman H. Khan 001; Muzammal Naseer; Munawar Hayat; Syed Waqas Zamir; Fahad Shahbaz Khan; Mubarak Shah (ACM Comput. Surv., 2022)

Unsupervised Landmark Discovery Using Consistency-Guided Bottleneck. - Mamona Awan; Muhammad Haris Khan; Sanoojan Baliah; Muhammad Ahmad Waseem; Salman Khan 001; Fahad Shahbaz Khan; Arif Mahmood (BMVC, 2023)

Person Image Synthesis via Denoising Diffusion Model. - Ankan Kumar Bhunia; Salman H. Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Jorma Laaksonen; Mubarak Shah; Fahad Shahbaz Khan (CVPR, 2023)

Burstormer: Burst Image Restoration and Enhancement Transformer. - Akshay Dudhane; Syed Waqas Zamir; Salman Khan 001; Fahad Shahbaz Khan; Ming-Hsuan Yang 001 (CVPR, 2023)

MaPLe: Multi-modal Prompt Learning. - Muhammad Uzair Khattak; Hanoona Abdul Rasheed; Muhammad Maaz 001; Salman H. Khan 001; Fahad Shahbaz Khan (CVPR, 2023)

Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection. - Long Li 008; Junwei Han 001; Ni Zhang 001; Nian Liu 002; Salman H. Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Fahad Shahbaz Khan (CVPR, 2023)

Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement. - Nancy Mehta; Akshay Dudhane; Subrahmanyam Murala; Syed Waqas Zamir; Salman H. Khan 001; Fahad Shahbaz Khan (CVPR, 2023)

D3Former: Debiased Dual Distilled Transformer for Incremental Learning. - Abdelrahman Mohamed; Rushali Grandhe; K. J. Joseph; Salman H. Khan 001; Fahad Shahbaz Khan (CVPR Workshops, 2023)

Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection. - Muhammad Akhtar Munir; Muhammad Haris Khan; Salman H. Khan 001; Fahad Shahbaz Khan (CVPR, 2023)

Fine-tuned CLIP Models are Efficient Video Learners. - Hanoona Abdul Rasheed; Muhammad Uzair Khattak; Muhammad Maaz 001; Salman H. Khan 001; Fahad Shahbaz Khan (CVPR, 2023)

Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting. - Syed Talal Wasim; Muzammal Naseer; Salman H. Khan 001; Fahad Shahbaz Khan; Mubarak Shah (CVPR, 2023)

PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. - Sheng Zhang; Salman H. Khan 001; Zhiqiang Shen; Muzammal Naseer; Guangyi Chen 002; Fahad Shahbaz Khan (CVPR, 2023)

Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM. - Sahal Shaji Mullappilly; Abdelrahman M. Shaker; Omkar Thawakar; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Fahad Shahbaz Khan (EMNLP (Findings), 2023)

Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. - Chun-Mei Feng 001; Kai Yu 009; Yong Liu 026; Salman Khan 001; Wangmeng Zuo (ICCV, 2023)

Towards Instance-adaptive Inference for Federated Learning. - Chun-Mei Feng 001; Kai Yu 009; Nian Liu 002; Xinxing Xu; Salman Khan 001; Wangmeng Zuo (ICCV, 2023)

Self-regulating Prompts: Foundational Model Adaptation without Forgetting. - Muhammad Uzair Khattak; Syed Talal Wasim; Muzammal Naseer; Salman Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (ICCV, 2023)

Generative Multiplane Neural Radiance for 3D-Aware Image Generation. - Amandeep Kumar; Ankan Kumar Bhunia; Sanath Narayan; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (ICCV, 2023)

Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation. - Nian Liu 002; Kepan Nan; Wangbo Zhao; Yuanwei Liu; Xiwen Yao; Salman Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Junwei Han 001; Fahad Shahbaz Khan (ICCV, 2023)

SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications. - Abdelrahman M. Shaker; Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman H. Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (ICCV, 2023)

Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition. - Syed Talal Wasim; Muhammad Uzair Khattak; Muzammal Naseer; Salman Khan 001; Mubarak Shah; Fahad Shahbaz Khan (ICCV, 2023)

CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned Representations. - Muhammad Ali; Salman H. Khan 001 (ICCV (Workshops), 2023)

Boosting Adversarial Transferability using Dynamic Cues. - Muzammal Naseer; Ahmad Mahmood; Salman Khan 001; Fahad Shahbaz Khan (ICLR, 2023)

Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation. - Asif Hanif; Muzammal Naseer; Salman H. Khan 001; Mubarak Shah; Fahad Shahbaz Khan (MICCAI (2), 2023)

Accelerated MRI Reconstruction via Dynamic Deformable Alignment Based Transformer. - Wafa Al Ghallabi; Akshay Dudhane; Syed Waqas Zamir; Salman H. Khan 001; Fahad Shahbaz Khan (MLMI@MICCAI (1), 2023)

3D Indoor Instance Segmentation in an Open-World. - Mohamed El Amine Boudjoghra; Salwa K. Al Khatib; Jean Lahoud; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Fahad Shahbaz Khan (NeurIPS, 2023)

Cal-DETR: Calibrated Detection Transformer. - Muhammad Akhtar Munir; Salman H. Khan 001; Muhammad Haris Khan; Mohsen Ali; Fahad Shahbaz Khan (NeurIPS, 2023)

PromptIR: Prompting for All-in-One Image Restoration. - Vaishnav Potlapalli; Syed Waqas Zamir; Salman H. Khan 001; Fahad Shahbaz Khan (NeurIPS, 2023)

Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization. - Jameel Abdul Samadh; Hanan Gani; Noor Hussein; Muhammad Uzair Khattak; Muzammal Naseer; Fahad Shahbaz Khan; Salman H. Khan 001 (NeurIPS, 2023)

Hardware Resilience Properties of Text-Guided Image Classifiers. - Syed Talal Wasim; Kabila Haile Soboka; Abdulrahman Mahmoud; Salman H. Khan 001; David Brooks 001; Gu-Yeon Wei (NeurIPS, 2023)

BGD: Generalization Using Large Step Sizes to Attract Flat Minima. - Muhammad Ali; Omar Alsuwaidi; Salman Khan 001 (VISIGRAPP (5: VISAPP), 2023)

FlexPooling with Simple Auxiliary Classifiers in Deep Networks. - Muhammad Ali; Omar Alsuwaidi; Salman Khan 001 (VISIGRAPP (4: VISAPP), 2023)

XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models. - Omkar Thawakar; Abdelrahman M. Shaker; Sahal Shaji Mullappilly; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Jorma Laaksonen; Fahad Shahbaz Khan (CoRR, 2023)

PromptIR: Prompting for All-in-One Blind Image Restoration. - Vaishnav Potlapalli; Syed Waqas Zamir; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2023)

Foundational Models Defining a New Era in Vision: A Survey and Outlook. - Muhammad Awais 012; Muzammal Naseer; Salman H. Khan 001; Rao Muhammad Anwer; Hisham Cholakkal; Mubarak Shah; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (CoRR, 2023)

Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. - Sheng Zhang; Muzammal Naseer; Guangyi Chen 002; Zhiqiang Shen; Salman H. Khan 001; Kun Zhang 001; Fahad Shahbaz Khan (CoRR, 2023)

Videoprompter: an ensemble of foundational models for zero-shot video understanding. - Adeel Yousaf; Muzammal Naseer; Salman H. Khan 001; Fahad Shahbaz Khan; Mubarak Shah (CoRR, 2023)

Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization. - Jameel Hassan; Hanan Gani; Noor Hussein; Muhammad Uzair Khattak; Muzammal Naseer; Fahad Shahbaz Khan; Salman H. Khan 001 (CoRR, 2023)

PG-Video-LLaVA: Pixel Grounding Large Video-Language Models. - Shehan Munasinghe; Rusiru Thushara; Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman Khan 001; Mubarak Shah; Fahad Shahbaz Khan (CoRR, 2023)

How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. - Zhongyi Han; Guanglin Zhou; Rundong He; Jindong Wang 001; Tailin Wu; Yilong Yin; Salman H. Khan 001; Lina Yao 001; Tongliang Liu; Kun Zhang 001 (CoRR, 2023)

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. - Chun-Mei Feng 001; Yang Bai 011; Tao Luo 014; Zhen Li 026; Salman Khan 001; Wangmeng Zuo; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026 (CoRR, 2023)

Learning Enriched Features for Fast Image Restoration and Enhancement. - Syed Waqas Zamir; Aditya Arora; Salman Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Ming-Hsuan Yang 001; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Unsupervised anomaly instance segmentation for baggage threat recognition. - Taimur Hassan; Samet Akçay; Mohammed Bennamoun; Salman Khan 001; Naoufel Werghi (J. Ambient Intell. Humaniz. Comput., 2023)

Transformers in Remote Sensing: A Survey. - Abdulaziz Amer Aleissaee; Amandeep Kumar; Rao Muhammad Anwer; Salman Khan 001; Hisham Cholakkal; Gui-Song Xia; Fahad Shahbaz Khan (Remote. Sens., 2023)

Cascaded structure tensor for robust baggage threat detection. - Taimur Hassan; Samet Akcay; Bilal Hassan; Mohammed Bennamoun; Salman H. Khan 001; Jorge Dias 001; Naoufel Werghi (Neural Comput. Appl., 2023)

Stylized Adversarial Defense. - Muzammal Naseer; Salman Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Fatih Porikli (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Transformers in medical imaging: A survey. - Fahad Shamshad; Salman H. Khan 001; Syed Waqas Zamir; Muhammad Haris Khan; Munawar Hayat; Fahad Shahbaz Khan; Huazhu Fu (Medical Image Anal., 2023)

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. - Haotong Qin; Ge-Peng Ji; Salman Khan 001; Deng-Ping Fan; Fahad Shahbaz Khan; Luc Van Gool (Mach. Intell. Res., 2023)

Guest Editorial Introduction to the Special Section on Transformer Models in Vision. - Salman H. Khan 001; Fahad Shahbaz Khan; Ashish Vaswani; Niki Parmar; Ming-Hsuan Yang 001; Mubarak Shah (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Generative Multi-Label Zero-Shot Learning. - Akshita Gupta; Sanath Narayan; Salman Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Joost van de Weijer 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. - Sheng Zhang; Muzammal Naseer; Guangyi Chen 002; Zhiqiang Shen; Salman H. Khan 001; Kun Zhang 001; Fahad Khan 001 (AAAI, 2024)

ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes. - Hashmat Shadab Malik; Muhammad Huzaifa; Muzammal Naseer; Salman Khan 001; Fahad Khan 001 (ACCV (5), 2024)

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models. - Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman Khan 001; Fahad Khan 001 (ACL (1), 2024)

XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models. - Omkar Thawakar; Abdelrahman M. Shaker; Sahal Shaji Mullappilly; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Jorma Laaksonen; Fahad Khan 001 (BioNLP@ACL, 2024)

Open-Vocabulary Temporal Action Localization using Multimodal Guidance. - Akshita Gupta; Aditya Arora; Sanath Narayan; Salman Khan 001; Fahad Shahbaz Khan; Graham W. Taylor (BMVC, 2024)

On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models. - Hashmat Shadab Malik; Numan Saeed; Asif Hanif; Muzammal Naseer; Mohammad Yaqub; Salman Khan 001; Fahad Shahbaz Khan (BMVC, 2024)

Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning. - Shiming Chen 002; Wenjin Hou; Salman H. Khan 001; Fahad Shahbaz Khan (CVPR, 2024)

Cross-Modal Self-Training: Aligning Images and Pointclouds to learn Classification without Labels. - Amaya Dharmasiri; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (CVPR Workshops, 2024)

Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning. - Wenjin Hou; Shiming Chen 002; Shuhuang Chen; Ziming Hong; Yan Wang; Xuetao Feng; Salman H. Khan 001; Fahad Shahbaz Khan; Xinge You (CVPR, 2024)

GeoChat: Grounded Large Vision-Language Model for Remote Sensing. - Kartik Kuckreja; Muhammad Sohail Danish; Muzammal Naseer; Abhijit Das; Salman Khan 001; Fahad Shahbaz Khan (CVPR, 2024)

Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery. - Mubashir Noman; Muzammal Naseer; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Fahad Shahbaz Khan (CVPR, 2024)

GLaMM: Pixel Grounding Large Multimodal Model. - Hanoona Abdul Rasheed; Muhammad Maaz 001; Sahal Shaji Mullappilly; Abdelrahman M. Shaker; Salman H. Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Eric P. Xing; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (CVPR, 2024)

Composed Video Retrieval via Enriched Context and Discriminative Embeddings. - Omkar Thawakar; Muzammal Naseer; Rao Muhammad Anwer; Salman H. Khan 001; Michael Felsberg; Mubarak Shah; Fahad Shahbaz Khan (CVPR, 2024)

VideoGrounding-DINO: Towards Open-Vocabulary Spatio- Temporal Video Grounding. - Syed Talal Wasim; Muzammal Naseer; Salman H. Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (CVPR, 2024)

Perturbing Dominant Feature Modes for Single Domain-Generalized Object Detection. - Muhammad Sohail Danish; Javed Iqbal 007; Mohsen Ali; M. Saquib Sarfraz; Salman H. Khan 001; Muhammad Haris Khan (DICTA, 2024)

Continual Learning and Unknown Object Discovery in 3D Scenes via Self-distillation. - Mohamed El Amine Boudjoghra; Jean Lahoud; Hisham Cholakkal; Rao Muhammad Anwer; Salman Khan 001; Fahad Shahbaz Khan (ECCV (73), 2024)

Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning. - Amandeep Kumar; Muhammad Awais 012; Sanath Narayan; Hisham Cholakkal; Salman Khan 001; Rao Muhammad Anwer (ECCV (84), 2024)

CONDA: Condensed Deep Association Learning for Co-salient Object Detection. - Long Li 008; Nian Liu 002; Dingwen Zhang; Zhongyu Li 006; Salman Khan 001; Rao Muhammad Anwer; Hisham Cholakkal; Junwei Han 001; Fahad Shahbaz Khan (ECCV (50), 2024)

BiMediX: Bilingual Medical Mixture of Experts LLM. - Sara Pieri; Sahal Shaji Mullappilly; Fahad Shahbaz Khan; Rao Muhammad Anwer; Salman H. Khan 001; Timothy Baldwin; Hisham Cholakkal (EMNLP (Findings), 2024)

Diabetic Retinopathy Detection and Grading AI for Mobile and Hand-held Devices: A Readiness Survey. - Mohammed Ghazal; Taimur Hassan; Jawad Yousaf; Marah Talal Alhalabi; Salman H. Khan 001; Arwa Sheibani; Ayesha Amin; Abdalla Gad (FiCloud, 2024)

Fanet: Feature Amplification Network for Semantic Segmentation in Cluttered Background. - Muhammad Ali; Mamoona Javaid; Mubashir Noman; Mustansar Fiaz; Salman Khan 001 (ICIP, 2024)

Sentence-level Prompts Benefit Composed Image Retrieval. - Yang Bai 011; Xinxing Xu; Yong Liu 026; Salman Khan 001; Fahad Khan 001; Wangmeng Zuo; Rick Siow Mong Goh; Chun-Mei Feng 001 (ICLR, 2024)

LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts. - Hanan Gani; Shariq Farooq Bhat; Muzammal Naseer; Salman Khan 001; Peter Wonka (ICLR, 2024)

Modulate Your Spectrum in Self-Supervised Learning. - Xi Weng; Yunhao Ni; Tengwei Song; Jie Luo 004; Rao Muhammad Anwer; Salman Khan 001; Fahad Khan 001; Lei Huang 015 (ICLR, 2024)

Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation. - Yuanwei Liu; Junwei Han 001; Xiwen Yao; Salman Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Nian Liu 002; Fahad Shahbaz Khan (ICML, 2024)

Enhanced Segmentation of Deformed Waste Objects in Cluttered Environments. - Muhammad Ali; Omar Alsuwaidi; Salman Khan 001 (ICPRAM, 2024)

Long-Tailed 3D Semantic Segmentation with Adaptive Weight Constraint and Sampling. - Jean Lahoud; Fahad Shahbaz Khan; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001 (ICRA, 2024)

Language Guided Domain Generalized Medical Image Segmentation. - Shahina K. Kunhimon; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (ISBI, 2024)

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation. - Hanan Gani; Muzammal Naseer; Fahad Khan 001; Salman H. Khan 001 (MICCAI (12), 2024)

BAPLe: Backdoor Attacks on Medical Foundational Models Using Prompt Learning. - Asif Hanif; Fahad Shamshad; Muhammad Awais 012; Muzammal Naseer; Fahad Shahbaz Khan; Karthik Nandakumar; Salman H. Khan 001; Rao Muhammad Anwer (MICCAI (12), 2024)

Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning. - Hasindri Watawana; Kanchana Ranasinghe; Tariq Mahmood; Muzammal Naseer; Salman H. Khan 001; Fahad Shahbaz Khan (MICCAI (4), 2024)

A New Perspective to Boost Performance Fairness For Medical Federated Learning. - Yunlu Yan; Lei Zhu 003; Yuexiang Li; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026; Salman H. Khan 001; Chun-Mei Feng 001 (MICCAI (10), 2024)

How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization? - Jiahua Dong 001; Wenqi Liang; Hongliu Li; Duzhen Zhang; Meng Cao 002; Henghui Ding; Salman H. Khan 001; Fahad Shahbaz Khan (NeurIPS, 2024)

Learnable weight initialization for volumetric medical image segmentation. - Shahina K. Kunhimon; Abdelrahman M. Shaker; Muzammal Naseer; Salman H. Khan 001; Fahad Shahbaz Khan (Artif. Intell. Medicine, 2024)

Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding. - Syed Talal Wasim; Muzammal Naseer; Salman Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (CoRR, 2024)

MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT. - Omkar Thawakar; Ashmal Vayani; Salman H. Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Michael Felsberg; Tim Baldwin; Eric P. Xing; Fahad Shahbaz Khan (CoRR, 2024)

VURF: A General-purpose Reasoning and Self-refinement Framework for Video Understanding. - Ahmad Mahmood; Ashmal Vayani; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2024)

Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration. - Akshay Dudhane; Omkar Thawakar; Syed Waqas Zamir; Salman H. Khan 001; Fahad Shahbaz Khan; Ming-Hsuan Yang 001 (CoRR, 2024)

Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning. - Guanglin Zhou; Zhongyi Han; Shiming Chen 002; Biwei Huang; Liming Zhu 001; Salman Khan 001; Xinbo Gao 001; Lina Yao 001 (CoRR, 2024)

Multi-modal Generation via Cross-Modal In-Context Learning. - Amandeep Kumar; Muzammal Naseer; Sanath Narayan; Rao Muhammad Anwer; Salman Khan 001; Hisham Cholakkal (CoRR, 2024)

Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging. - Jiahua Dong 001; Hui Yin; Hongliu Li; Wenbo Li 001; Yulun Zhang 001; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2024)

VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding. - Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2024)

CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned Representation. - Muhammad Ali; Salman Khan 001 (CoRR, 2024)

CPT: Consistent Proxy Tuning for Black-box Optimization. - Yuanyang He; Zitong Huang; Xinxing Xu; Rick Siow Mong Goh; Salman Khan 001; Wangmeng Zuo; Yong Liu 026; Chun-Mei Feng 001 (CoRR, 2024)

GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model. - Abdelrahman M. Shaker; Syed Talal Wasim; Salman Khan 001; Juergen Gall; Fahad Shahbaz Khan (CoRR, 2024)

Underwater Object Detection Enhancement via Channel Stabilization. - Muhammad Ali; Salman Khan 001 (CoRR, 2024)

Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Region. - Muhammad Akhtar Munir; Fahad Shahbaz Khan; Salman H. Khan 001 (CoRR, 2024)

CDChat: A Large Multimodal Model for Remote Sensing Change Description. - Mubashir Noman; Noor Ahsan; Muzammal Naseer; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Fahad Shahbaz Khan (CoRR, 2024)

Frontiers in Intelligent Colonoscopy. - Ge-Peng Ji; Jing Liu 031; Peng Xu 005; Nick Barnes; Fahad Shahbaz Khan; Salman H. Khan 001; Deng-Ping Fan (CoRR, 2024)

CAMEL-Bench: A Comprehensive Arabic LMM Benchmark. - Sara Ghaboura; Ahmed Heakl; Omkar Thawakar; Ali Husain Salem Abdulla Alharthi; Ines Riahi; Abduljalil Saif; Jorma Laaksonen; Fahad Shahbaz Khan; Salman H. Khan 001; Rao Muhammad Anwer (CoRR, 2024)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CoRR, 2024)

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities. - Muhammad Uzair Khattak; Shahina K. Kunhimon; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2024)

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning. - Dingjie Fu; Wenjin Hou; Shiming Chen 002; Shuhuang Chen; Xinge You; Salman H. Khan 001; Fahad Shahbaz Khan (CoRR, 2024)

ELGC-Net: Efficient Local-Global Context Aggregation for Remote Sensing Change Detection. - Mubashir Noman; Mustansar Fiaz; Hisham Cholakkal; Salman H. Khan 001; Fahad Shahbaz Khan (IEEE Trans. Geosci. Remote. Sens., 2024)

Remote Sensing Change Detection With Transformers Trained From Scratch. - Mubashir Noman; Mustansar Fiaz; Hisham Cholakkal; Sanath Narayan; Rao Muhammad Anwer; Salman Khan 001; Fahad Khan 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

CT-VOS: Cutout prediction and tagging for self-supervised video object segmentation. - Jyoti Kini; Fahad Shahbaz Khan; Salman Khan 001; Mubarak Shah (Comput. Vis. Image Underst., 2024)

Robust Perception and Precise Segmentation for Scribble-Supervised RGB-D Saliency Detection. - Long Li 008; Junwei Han 001; Nian Liu 002; Salman H. Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Fahad Khan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Guidance Through Surrogate: Toward a Generic Diagnostic Attack. - Muzammal Naseer; Salman H. Khan 001; Fatih Porikli; Fahad Shahbaz Khan (IEEE Trans. Neural Networks Learn. Syst., 2024)

UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation. - Abdelrahman M. Shaker; Muhammad Maaz 001; Hanoona Abdul Rasheed; Salman H. Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (IEEE Trans. Medical Imaging, 2024)

Understanding Whitening Loss in Self-Supervised Learning. - Lei Huang 015; Yunhao Ni; Xi Weng; Rao Muhammad Anwer; Salman Khan 001; Ming-Hsuan Yang 001; Fahad Khan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. - Chun-Mei Feng 001; Yang Bai 011; Tao Luo 014; Zhen Li 026; Salman H. Khan 001; Wangmeng Zuo; Rick Siow Mong Goh; Yong Liu 026 (AAAI, 2025)

Time Travel: A Comprehensive Benchmark to Evaluate LMMs on Historical and Cultural Artifacts. - Sara Ghaboura; Ketan Pravin More; Ritesh Thawkar; Wafa Al Ghallabi; Omkar Thawakar; Fahad Shahbaz Khan; Hisham Cholakkal; Salman H. Khan 001; Rao Muhammad Anwer (ACL (Findings), 2025)

KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding. - Ahmed Heakl; Muhammad Abdullah Sohail; Mukul Ranjan; Rania Elbadry; Ghazi Shazan Ahmad; Mohamed El-Geish; Omar Maher; Zhiqiang Shen; Fahad Shahbaz Khan; Salman H. Khan 001 (ACL (Findings), 2025)

LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM. - Sambal Shikhar; Mohammed Irfan Kurpath; Sahal Shaji Mullappilly; Jean Lahoud; Fahad Shahbaz Khan; Rao Muhammad Anwer; Salman H. Khan 001; Hisham Cholakkal (ACL (Findings), 2025)

LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs. - Omkar Thawakar; Dinura Dissanayake; Ketan Pravin More; Ritesh Thawkar; Ahmed Heakl; Noor Ahsan; Yuhao Li; Mohammed Zumri; Jean Lahoud; Rao Muhammad Anwer; Hisham Cholakkal; Ivan Laptev; et al. (ACL (Findings), 2025)

AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment. - Umair Nawaz; Muhammad Awais 012; Hanan Gani; Muzammal Naseer; Fahad Shahbaz Khan; Salman H. Khan 001; Rao Muhammad Anwer (COLING, 2025)

How Good is my Video-LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs. - Muhammad Uzair Khattak; Muhammad Ferjad Naeem; Jameel Hassan; Muzammal Naseer; Federico Tombari; Fahad Shahbaz Khan; Salman Khan 001 (CVPR Workshops, 2025)

Towards Evaluating the Robustness of Visual State Space Models. - Hashmat Shadab Malik; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar; Fahad Shahbaz Khan; Salman Khan 001 (CVPR Workshops, 2025)

VideoGLaMM : A Large Multimodal Model for Pixel-Level Visual Grounding in Videos. - Shehan Munasinghe; Hanan Gani; Wenqi Zhu; Jiale Cao; Eric P. Xing; Fahad Shahbaz Khan; Salman H. Khan 001 (CVPR, 2025)

GroupMamba: Efficient Group-Based Visual State Space Model. - Abdelrahman M. Shaker; Syed Talal Wasim; Salman H. Khan 001; Juergen Gall; Fahad Shahbaz Khan (CVPR, 2025)

O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models. - Ashshak Sharifdeen; Muhammad Akhtar Munir; Sanoojan Baliah; Salman Khan 001; Muhammad Haris Khan (CVPR, 2025)

EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues. - Sagar Soni; Akshay Dudhane; Hiyam Debary; Mustansar Fiaz; Muhammad Akhtar Munir; Muhammad Sohail Danish; Paolo Fraccaro; Campbell D. Watson; Levente J. Klein; Fahad Shahbaz Khan; Salman H. Khan 001 (CVPR, 2025)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CVPR, 2025)

Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs. - Wafa Al Ghallabi; Ritesh Thawkar; Sara Ghaboura; Ketan Pravin More; Omkar Thawakar; Hisham Cholakkal; Salman Khan 001; Rao Muhammad Anwer (EMNLP, 2025)

Promptception: How Sensitive Are Large Multimodal Models to Prompts? - Mohamed Insaf Ismithdeen; Muhammad Uzair Khattak; Salman Khan 001 (EMNLP (Findings), 2025)

MAviS: A Multimodal Conversational Assistant For Avian Species. - Yevheniia Kryklyvets; Mohammed Irfan Kurpath; Sahal Shaji Mullappilly; Jinxing Zhou; Fahad Shahbaz Khan; Rao Muhammad Anwer; Salman Khan 001; Hisham Cholakkal (EMNLP, 2025)

BiMediX2 : Bio-Medical EXpert LMM for Diverse Medical Modalities. - Sahal Shaji Mullappilly; Mohammed Irfan Kurpath; Sara Pieri; Saeed Yahya Alseiari; Shanavas Cholakkal; Khaled Aldahmani; Fahad Shahbaz Khan; Rao Muhammad Anwer; Salman H. Khan 001; Timothy Baldwin; Hisham Cholakkal (EMNLP (Findings), 2025)

A Culturally-diverse Multilingual Multimodal Video Benchmark & Model. - Bhuiyan Sanjid Shafique; Ashmal Vayani; Muhammad Maaz 001; Hanoona Abdul Rasheed; Dinura Dissanayake; Mohammed Irfan Kurpath; Yahya Hmaiti; Go Inoue; Jean Lahoud; Md. Safirur Rashid; Shadid Intisar Quasem; Maheen Fatima; et al. (EMNLP, 2025)

AI-Driven Glucose Forecasting and Personalized Feedback for Diabetic Patients via a Mobile Health Platform. - Mohammed Ghazal; Salman H. Khan 001; Maha Yaghi; Abdalla Gad; Hala Hamdan; Dana Al-Jamri; Salma Ahmed; Jawad Yousaf (FiCloud, 2025)

Take My Stuff: A Mobile Application for Sustainable Peer-to-Peer Item Sharing. - Mohammed Ghazal; Asmaa Kassar; Maha Yaghi; Salman H. Khan 001; Abdalla Gad; Marah Al Halabi (FiCloud, 2025)

A Real-Time Modular Scheduling System for Educational Operations. - Mohammed Ghazal; Maha Yaghi; Salman H. Khan 001; Abdalla Gad; Marah Talal Alhalabi; Jawad Yousaf (FiCloud, 2025)

Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model. - Shiming Chen 002; Bowen Duan 001; Salman Khan 001; Fahad Shahbaz Khan (ICCV, 2025)

Aurelia: Test-Time Reasoning Distillation in Audio-Visual LLMs. - Sanjoy Chowdhury; Hanan Gani; Nishit Anand; Sayan Nag; Ruohan Gao; Mohamed Elhoseiny 001; Salman Khan 001; Dinesh Manocha (ICCV, 2025)

GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks. - Muhammad Sohail Danish; Muhammad Akhtar Munir; Syed Roshaan Ali Shah; Kartik Kuckreja; Fahad Shahbaz Khan; Paolo Fraccaro; Alexandre Lacoste; Salman Khan 001 (ICCV, 2025)

Vocabulary-Free Fine-Grained Visual Recognition via Enriched Contextually Grounded Vision-Language Model. - Dmitry Demidov; Zaigham Zaheer; Omkar Thawakar; Salman H. Khan 001; Fahad Shahbaz Khan (ICCVW, 2025)

Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation. - Jiahua Dong 001; Hui Yin; Wenqi Liang; Hanbin Zhao; Henghui Ding; Nicu Sebe; Salman Khan 001; Fahad Shahbaz Khan (ICCV, 2025)

MPromer: A Unified Diffusion-Based Framework for Scalable and Generalizable Multi-Modal Medical Image Segmentation. - Wafa Al Ghallabi; Akshay Dudhane; Syed Waqas Zamir; Salman H. Khan 001; Fahad Shahbaz Khan (ICCVW, 2025)

TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models. - Ziyang Luo; Nian Liu 002; Xuguang Yang; Salman Khan 001; Rao Muhammad Anwer; Hisham Cholakkal; Fahad Shahbaz Khan; Junwei Han 001 (ICCV, 2025)

Beyond Simple Edits: Composed Video Retrieval with Dense Modifications. - Omkar Thawakar; Dmitry Demidov; Ritesh Thawkar; Rao Muhammad Anwer; Mubarak Shah; Fahad Shahbaz Khan; Salman Khan 001 (ICCV, 2025)

LawDIS: Language-Window-Based Controllable Dichotomous Image Segmentation. - Xinyu Yan 001; Meijun Sun; Ge-Peng Ji; Fahad Shahbaz Khan; Salman Khan 001; Deng-Ping Fan (ICCV, 2025)

AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation. - Yuning Cui 001; Syed Waqas Zamir; Salman H. Khan 001; Alois Knoll; Mubarak Shah; Fahad Shahbaz Khan (ICLR, 2025)

Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation. - Mohamed El Amine Boudjoghra; Angela Dai; Jean Lahoud; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Fahad Shahbaz Khan (ICLR, 2025)

On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning. - Yunlu Yan; Chun-Mei Feng 001; Wangmeng Zuo; Salman H. Khan 001; Yong Liu 026; Lei Zhu 003 (ICLR, 2025)

GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder. - Shiming Chen 002; Dingjie Fu; Salman Khan 001; Fahad Shahbaz Khan (ICML, 2025)

AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment. - Vishal Nedungadi; Muhammad Akhtar Munir; Marc Rußwurm; Ron Sarafian; Ioannis N. Athanasiadis; Yinon Rudich; Fahad Shahbaz Khan; Salman Khan 001 (TerraBytes, 2025)

GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing. - Akashah Shabbir; Mohammed Zumri; Mohammed Bennamoun; Fahad Shahbaz Khan; Salman Khan 001 (ICML, 2025)

Open3DTrack: Towards Open-Vocabulary 3D Multi-Object Tracking. - Ayesha Ishaq; Mohamed El Amine Boudjoghra; Jean Lahoud; Fahad Shahbaz Khan; Salman Khan 001; Hisham Cholakkal; Rao Muhammad Anwer (ICRA, 2025)

DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding. - Ayesha Ishaq; Jean Lahoud; Ketan More; Omkar Thawakar; Ritesh Thawkar; Dinura Dissanayake; Noor Ahsan; Yuhao Li; Fahad Shahbaz Khan; Hisham Cholakkal; Ivan Laptev; Rao Muhammad Anwer; et al. (IROS, 2025)

On Frequency Domain Adversarial Vulnerabilities of Volumetric Medical Image Segmentation. - Asif Hanif; Muzammal Naseer; Salman H. Khan 001; Fahad Shahbaz Khan (ISBI, 2025)

SPARTA: Spectral Prompt Agnostic Adversarial Attack on Medical Vision-Language Models. - Asif Hanif; Zaigham Zaheer; Salman Khan 001; Fahad Shahbaz Khan; Rao Muhammad Anwer (UNSURE@MICCAI, 2025)

Hierarchical Self-supervised Adversarial Training for Robust Vision Models in Histopathology. - Hashmat Shadab Malik; Shahina K. Kunhimon; Muzammal Naseer; Fahad Shahbaz Khan; Salman H. Khan 001 (MICCAI (1), 2025)

Medical Referring Image Segmentation: Addressing Multi-Lesion Reference and Annotation Uncertainty via Vision-Language Fusion. - Yuanyang He; Chun-Mei Feng 001; Yang Zhou 017; Lionel Tim-Ee Cheng; Anh Tran; Gideon Ooi; Choon Hua Thng; Salman H. Khan 001; Wangmeng Zuo; Yong Liu 026; Jürgen Schmidhuber (MLMI@MICCAI, 2025)

VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs. - Hanan Gani; Rohit Bharadwaj 001; Muzammal Naseer; Fahad Shahbaz Khan; Salman Khan 001 (NAACL (Findings), 2025)

CAMEL-Bench: A Comprehensive Arabic LMM Benchmark. - Sara Ghaboura; Ahmed Heakl; Omkar Thawakar; Ali Husain Salem Abdulla Alharthi; Ines Riahi; Abduljalil Radman; Jorma Laaksonen; Fahad Shahbaz Khan; Salman Khan 001; Rao Muhammad Anwer (NAACL (Findings), 2025)

DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models. - Komal Kumar; Rao Muhammad Anwer; Fahad Shahbaz Khan; Salman H. Khan 001; Ivan Laptev; Hisham Cholakkal (NeurIPS, 2025)

Enhancing Novel Object Detection via Cooperative Foundational Models. - Rohit K. Bharadwaj 001; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan (WACV, 2025)

COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered Scenes. - Muhammad Ali; Mamoona Javaid; Mubashir Noman; Mustansar Fiaz; Salman H. Khan 001 (WACV, 2025)

Palo: A Polyglot Large Multimodal Model for 5B People. - Hanoona Abdul Rasheed; Muhammad Maaz 001; Abdelrahman M. Shaker; Salman H. Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Tim Baldwin; Michael Felsberg; Fahad Shahbaz Khan (WACV, 2025)

Efficient Video Object Segmentation via Modulated Cross-Attention Memory. - Abdelrahman M. Shaker; Syed Talal Wasim; Martin Danelljan; Salman H. Khan 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (WACV, 2025)

Deep prescription understanding and low-cost medication dispensing and management for elderly care. - Mohammed Ghazal; Salman Khan 001; Abdalla Gad; Arwa Sheibani; Aysha Amin; Marah Talal Alhalabi; Maha Yaghi; Mohammad Alkhedher (Expert Syst. Appl., 2025)

Connecting dreams with visual brainstorming instruction. - Yasheng Sun; Bohan Li; Mingchen Zhuge; Deng-Ping Fan; Salman H. Khan 001; Fahad Shahbaz Khan; Hideki Koike (Vis. Intell., 2025)

Video Instance Segmentation in an Open-World. - Omkar Thawakar; Sanath Narayan; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Jorma Laaksonen; Mubarak Shah; Fahad Shahbaz Khan (Int. J. Comput. Vis., 2025)

AIN: The Arabic INclusive Large Multimodal Model. - Ahmed Heakl; Sara Ghaboura; Omkar Thawakar; Fahad Shahbaz Khan; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001 (CoRR, 2025)

Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models. - Hashmat Shadab Malik; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar; Fahad Khan 001; Salman Khan 001 (CoRR, 2025)

KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding. - Ahmed Heakl; Muhammad Abdullah Sohail; Mukul Ranjan; Rania Hossam; Ghazi Ahmed; Mohamed El-Geish; Omar Maher; Zhiqiang Shen; Fahad Khan 001; Salman H. Khan 001 (CoRR, 2025)

CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation. - Vishal Thengane; Jean Lahoud; Hisham Cholakkal; Rao Muhammad Anwer; Lu Yin 006; Xiatian Zhu; Salman Khan 001 (CoRR, 2025)

C-Drag: Chain-of-Thought Driven Motion Controller for Video Generation. - Yuhao Li; Mirana Claire Angel; Salman Khan 001; Yu Zhu 004; Jinqiu Sun; Yanning Zhang 001; Fahad Shahbaz Khan (CoRR, 2025)

LLM Post-Training: A Deep Dive into Reasoning Large Language Models. - Komal Kumar; Tajamul Ashraf; Omkar Thawakar; Rao Muhammad Anwer; Hisham Cholakkal; Mubarak Shah; Ming-Hsuan Yang 001; Phillip H. S. Torr; Salman H. Khan 001; Fahad Shahbaz Khan (CoRR, 2025)

Handwritten Digit Recognition: An Ensemble-Based Approach for Superior Performance. - Syed Sajid Ullah; Li Gang; Mudassir Riaz; Ahsan Ashfaq; Salman Khan 001; Sajawal Khan (CoRR, 2025)

How Good is my Histopathology Vision-Language Foundation Model? A Holistic Benchmark. - Roba Al Majzoub; Hashmat Shadab Malik; Muzammal Naseer; Zaigham Zaheer; Tariq Mahmood; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2025)

Tracking Meets Large Multimodal Models for Driving Scenario Understanding. - Ayesha Ishaq; Jean Lahoud; Fahad Shahbaz Khan; Salman Khan 001; Hisham Cholakkal; Rao Muhammad Anwer (CoRR, 2025)

Mobile-VideoGPT: Fast and Accurate Video Understanding Language Model. - Abdelrahman M. Shaker; Muhammad Maaz 001; Chenhui Gou; Hamid Rezatofighi; Salman Khan 001; Fahad Shahbaz Khan (CoRR, 2025)

Polarity Loss: Improving Visual-Semantic Alignment for Zero-Shot Detection. - Shafin Rahman; Salman Khan 001; Nick Barnes (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Learning in Concealed Dense Prediction. - Pancheng Zhao; Deng-Ping Fan; Shupeng Cheng; Salman H. Khan 001; Fahad Shahbaz Khan; David A. Clifton; Peng Xu 005; Jufeng Yang (CoRR, 2025)

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding. - Jang Hyun Cho; Andrea Madotto; Effrosyni Mavroudi; Triantafyllos Afouras; Tushar Nagarajan; Muhammad Maaz 001; Yale Song; Tengyu Ma 005; Shuming Hu; Suyog Dutt Jain; Miguel Martin; Huiyu Wang; et al. (CoRR, 2025)

Foundation Models Defining a New Era in Vision: A Survey and Outlook. - Muhammad Awais 012; Muzammal Naseer; Salman Khan 001; Rao Muhammad Anwer; Hisham Cholakkal; Mubarak Shah; Ming-Hsuan Yang 001; Fahad Shahbaz Khan (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark. - Ahmed Heakl; Sarim Hashmi; Gustavo Bertolo Stahl; Seung Hun Eddie Han; Salman H. Khan 001; Abdulrahman Mahmoud (CoRR, 2025)

ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark. - Sara Ghaboura; Ketan More; Wafa Al Ghallabi; Omkar Thawakar; Jorma Laaksonen; Hisham Cholakkal; Salman H. Khan 001; Rao Muhammad Anwer (CoRR, 2025)

ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing Tasks. - Akashah Shabbir; Muhammad Akhtar Munir; Akshay Dudhane; Muhammad Umer Sheikh; Muhammad Haris Khan; Paolo Fraccaro; Juan Bernabé-Moreno; Fahad Shahbaz Khan; Salman Khan 001 (CoRR, 2025)

Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks. - Tajamul Ashraf; Amal Saqib; Hanan Ghani; Muhra AlMahri; Yuhao Li; Noor Ahsan; Umair Nawaz; Jean Lahoud; Hisham Cholakkal; Mubarak Shah; Philip Torr 001; Fahad Shahbaz Khan; et al. (CoRR, 2025)

VideoMolmo: Spatio-Temporal Grounding Meets Pointing. - Ghazi Shazan Ahmad; Ahmed Heakl; Hanan Gani; Abdelrahman M. Shaker; Zhiqiang Shen; Ranjay Krishna; Fahad Shahbaz Khan; Salman Khan 001 (CoRR, 2025)

VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos. - Hanoona Abdul Rasheed; Abdelrahman M. Shaker; Anqi Tang; Muhammad Maaz 001; Ming-Hsuan Yang 001; Salman H. Khan 001; Fahad Shahbaz Khan (CoRR, 2025)

TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation. - Muhammad Sohail Danish; Muhammad Akhtar Munir; Syed Roshaan Ali Shah; Muhammad Haris Khan; Rao Muhammad Anwer; Jorma Laaksonen; Fahad Shahbaz Khan; Salman H. Khan 001 (CoRR, 2025)

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks. - Sanjoy Chowdhury; Mohamed Elmoghany; Yohan Abeysinghe; Junjie Fei; Sayan Nag; Salman Khan 001; Mohamed Elhoseiny 001; Dinesh Manocha (CoRR, 2025)

AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock. - Umair Nawaz; Muhammad Zaigham Zaheer; Fahad Shahbaz Khan; Hisham Cholakkal; Salman H. Khan 001; Rao Muhammad Anwer (CoRR, 2025)

Composed Object Retrieval: Object-level Retrieval via Composed Expressions. - Tong Wang 022; Guanyu Yang 001; Nian Liu 002; Zongyan Han; Jinxing Zhou; Salman H. Khan 001; Fahad Shahbaz Khan (CoRR, 2025)

Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation. - Chun-Mei Feng 001; Yuanyang He; Jian Zou 005; Salman H. Khan 001; Huan Xiong; Zhen Li 026; Wangmeng Zuo; Rick Siow Mong Goh; Yong Liu 026 (Int. J. Comput. Vis., 2025)

PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits. - Loka Li; Wong Yu Kang; Minghao Fu 002; Guangyi Chen 002; Zhenhao Chen; Gongxu Luo; Yuewen Sun; Salman H. Khan 001; Peter Spirtes; Kun Zhang 001 (CoRR, 2025)

How Good are Foundation Models in Step-by-Step Embodied Reasoning? - Dinura Dissanayake; Ahmed Heakl; Omkar Thawakar; Noor Ahsan; Ritesh Thawkar; Ketan More; Jean Lahoud; Rao Muhammad Anwer; Hisham Cholakkal; Ivan Laptev; Fahad Shahbaz Khan; Salman H. Khan 001 (CoRR, 2025)

GeoVLM-R1: Reinforcement Fine-Tuning for Improved Remote Sensing Reasoning. - Mustansar Fiaz; Hiyam Debary; Paolo Fraccaro; Danda Pani Paudel; Luc Van Gool; Fahad Khan 001; Salman Khan 001 (CoRR, 2025)

Text to Image for Multi-Label Image Recognition With Joint Prompt-Adapter Learning. - Chun-Mei Feng 001; Kai Yu 009; Xinxing Xu; Salman Khan 001; Rick Siow Mong Goh; Wangmeng Zuo; Yong Liu 026 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

RainDiff: End-to-end Precipitation Nowcasting Via Token-wise Attention Diffusion. - Thao Nguyen; Jiaqi Ma; Fahad Shahbaz Khan; Souhaib Ben Taieb; Salman H. Khan 001 (CoRR, 2025)

Planner and Executor: Collaboration between Discrete Diffusion And Autoregressive Models in Reasoning. - Lina Berrayana; Ahmed Heakl; Muhammad Abdullah Sohail; Thomas Hofmann 001; Salman H. Khan 001; Wei Chen (CoRR, 2025)

Synergistic Neural Forecasting of Air Pollution with Stochastic Sampling. - Yohan Abeysinghe; Muhammad Akhtar Munir; Sanoojan Baliah; Ron Sarafian; Fahad Shahbaz Khan; Yinon Rudich; Salman H. Khan 001 (CoRR, 2025)

PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model. - Wenqi Liang; Gan Sun; Yao He; Jiahua Dong 001; Suyan Dai; Ivan Laptev; Salman H. Khan 001; Yang Cong (CoRR, 2025)

GEO-Bench-2: From Performance to Capability, Rethinking Evaluation in Geospatial AI. - Naomi Simumba; Nils Lehmann; Paolo Fraccaro; Hamed Alemohammad; Geeth De Mel; Salman H. Khan 001; Manil Maskey; Nicolas Longépé; Xiao Xiang Zhu 001; Hannah Kerner; Juan Bernabé-Moreno; Alexander Lacoste (CoRR, 2025)

EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards. - Omkar Thawakar; Shravan Venkatraman; Ritesh Thawkar; Abdelrahman M. Shaker; Hisham Cholakkal; Rao Muhammad Anwer; Salman H. Khan 001; Fahad Shahbaz Khan (CoRR, 2025)

Diversity Has Always Been There in Your Visual Autoregressive Models. - Tong Wang 022; Guanyu Yang 001; Nian Liu 002; Kai Wang 060; Yaxing Wang; Abdelrahman M. Shaker; Salman H. Khan 001; Fahad Shahbaz Khan; Senmao Li (CoRR, 2025)

Video-CoM: Interactive Video Reasoning via Chain of Manipulations. - Hanoona Rasheed; Mohammed Zumri; Muhammad Maaz 001; Ming-Hsuan Yang 001; Fahad Shahbaz Khan; Salman H. Khan 001 (CoRR, 2025)

StageVAR: Stage-Aware Acceleration for Visual Autoregressive Models. - Senmao Li; Kai Wang 060; Salman H. Khan 001; Fahad Shahbaz Khan; Jian Yang 003; Yaxing Wang (CoRR, 2025)

A Benchmark and Agentic Framework for Omni-Modal Reasoning and Tool Use in Long Videos. - Mohammed Irfan Kurpath; Jaseel Muhammad Kaithakkodan; Jinxing Zhou; Sahal Shaji Mullappilly; Mohammad Almansoori; Noor Ahsan; Beknur Kalmakhanbet; Sambal Shikhar; Rishabh Lalla; Jean Lahoud; Mariette Awad; Fahad Shahbaz Khan; et al. (CoRR, 2025)

Bring Your Dreams to Life: Continual Text-to-Video Customization. - Jiahua Dong 001; Xudong Wang; Wenqi Liang; Zongyan Han; Meng Cao 002; Duzhen Zhang; Hanbin Zhao; Zhi Han; Salman Khan 001; Fahad Shahbaz Khan (AAAI, 2026)

CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark. - Ahmed Heakl; Gustavo Bertolo Stahl; Sarim Hashmi; Seung Hun Eddie Han; Mukul Ranjan; Arina Kharlamova; Salman Khan 001; Abdulrahman Mahmoud (ACL (1), 2026)

Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework. - Komal Kumar; Aman Chadha; Salman Khan 001; Fahad Shahbaz Khan; Hisham Cholakkal (ACL (1), 2026)

GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support. - Muhammad Umer Sheikh; Khawar Shehzad; Salman Khan 001; Fahad Shahbaz Khan; Muhammad Haris Khan (ACL (1), 2026)

DuwatBench: Bridging Language and Visual Heritage through an Arabic Calligraphy Benchmark for Multimodal Understanding. - Shubham Patle; Sara Ghaboura; Hania Tariq; Mohammad Usman Khan; Omkar Thawakar; Rao Muhammad Anwer; Salman H. Khan 001 (EACL (Volume 1: Long Papers), 2026)

A Multi-Agent Diffusion Approach for MRI Anomaly Segmentation via Modality-Specific LoRA Specialization. - Wafa Al Ghallabi; Muhammad Zaigham Zaheer; Ritesh Thawkar; Omkar Thawakar; Salman Khan 001; Fahad Shahbaz Khan (WACV, 2026)

MedROV: Towards Real-Time Open-Vocabulary Detection Across Diverse Medical Imaging Modalities. - Tooba Tehreem Sheikh; Jean Lahoud; Rao Muhammad Anwer; Fahad Shahbaz Khan; Salman Khan 001; Hisham Cholakkal (WACV, 2026)

Digital paradigms in medication support: A comprehensive review of technologies and approaches. - Mohammed Ghazal; Salman Khan 001; Arwa Sheibani; Ayesha Amin; Marah Talal Al Halabi; Abdalla Gad; Maha Yaghi; Mohamed Ramadan; Taimur Hassan; Mohammad Alkhedher (Internet Things, 2026)

A Survey on Foundations and Frontiers of Multimodal Agentic Frameworks: Techniques and Applications. - Neel Mokaria; Rishie Raj; Dheeraj Baiju; Xiaoqian Shen; Shraman Pramanick; Kevin Qinghong Lin; Arda Senocak; Mike Zheng Shou; Philip Torr 001; Mohamed Elhoseiny 001; Yapeng Tian; Ruohan Gao; et al. (Trans. Mach. Learn. Res., 2026)

From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization. - Guanglin Zhou; Zhongyi Han; Shaoan Xie; Shiming Chen 002; Biwei Huang; Liming Zhu 001; Xinbo Gao 001; Lina Yao 001; Salman H. Khan 001 (Int. J. Comput. Vis., 2026)

EoCD: Encoder only Remote Sensing Change Detection. - Mubashir Noman; Mustansar Fiaz; Hiyam Debary; Abdul Hannan; Shah Nawaz; Fahad Shahbaz Khan; Salman Khan 001 (CoRR, 2026)

MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images. - Ankan Deria; Komal Kumar; Adinath Madhavrao Dukre; Eran Segal; Salman Khan 001; Imran Razzak (CoRR, 2026)

OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents. - Akashah Shabbir; Muhammad Umer Sheikh; Muhammad Akhtar Munir; Hiyam Debary; Mustansar Fiaz; Muhammad Zaigham Zaheer; Paolo Fraccaro; Fahad Shahbaz Khan; Muhammad Haris Khan; Xiao Xiang Zhu 001; Salman H. Khan 001 (CoRR, 2026)

Mobile-O: Unified Multimodal Understanding and Generation on Mobile Device. - Abdelrahman M. Shaker; Ahmed Heakl; Jaseel Muhammad Kaithakkodan; Ritesh Thawkar; Omkar Thawakar; Senmao Li; Hisham Cholakkal; Ian Reid 003; Eric P. Xing; Salman H. Khan 001; Fahad Shahbaz Khan (CoRR, 2026)

MediX-R1: Open Ended Medical Reinforcement Learning. - Sahal Shaji Mullappilly; Mohammed Irfan Kurpath; Mohammad Omair; Mohamed Zidan; Fahad Khan 001; Salman H. Khan 001; Rao Muhammad Anwer; Hisham Cholakkal (CoRR, 2026)

Frontiers in Intelligent Colonoscopy. - Ge-Peng Ji; Jingyi Liu; Peng Xu 005; Nick Barnes; Fahad Shahbaz Khan; Salman Khan 001; Deng-Ping Fan (Mach. Intell. Res., 2026)

Latent-DARM: Bridging Discrete Diffusion And Autoregressive Models For Reasoning. - Lina Berrayana; Ahmed Heakl; Muhammad Abdullah Sohail; Thomas Hofmann 001; Salman H. Khan 001; Wei Chen (CoRR, 2026)

From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering. - Xinyi Shang; Yi Tang; Jiacheng Cui; Ahmed Elhagry; Salwa K. Al Khatib; Sondos Mahmoud Bsharat; Jiacheng Liu; Xiaohan Zhao; Jing-Hao Xue; Hao Li; Salman Khan 001; Zhiqiang Shen (CoRR, 2026)

WorldCache: Content-Aware Caching for Accelerated Video World Models. - Umair Nawaz; Ahmed Heakl; Ufaq Khan; Abdelrahman M. Shaker; Salman H. Khan 001; Fahad Shahbaz Khan (CoRR, 2026)

CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcare. - Akash Ghosh; Tajamul Ashraf; Rishu Kumar Singh; Numan Saeed; Sriparna Saha 001; Xiuying Chen; Salman H. Khan 001 (CoRR, 2026)

The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report. - Bin Ren 005; Hang Guo 002; Yan Shu; Jiaqi Ma; Ziteng Cui; Shuhong Liu; Guofeng Mei; Lei Sun 016; Zongwei Wu; Fahad Shahbaz Khan; Salman Khan 001; Radu Timofte; et al. (CoRR, 2026)

CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning. - Ankan Deria; Komal Kumar; Xilin He; Imran Razzak; Hisham Cholakkal; Fahad Shahbaz Khan; Salman Khan 001 (CoRR, 2026)

Physics-Enhanced Deep Learning for Proactive Thermal Runaway Forecasting in Li-Ion Batteries. - Salman Khan 001; Muhammad Zunair Zamir; Syed Sajid Ullah; Jie Li (CoRR, 2026)

Attention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems. - Syed Sajid Ullah; Muhammad Zunair Zamir; Ahsan Ishfaq; Salman Khan 001 (CoRR, 2026)

Agentic AI for Remote Sensing: Technical Challenges and Research Directions. - Muhammad Akhtar Munir; Muhammad Umer Sheikh; Akashah Shabbir; Muhammad Haris Khan; Fahad Khan 001; Xiao Xiang Zhu 001; Begüm Demir; Salman Khan 001 (CoRR, 2026)

DocAtlas: Multilingual Document Understanding Across 80+ Languages. - Ahmed Heakl; Youssef Mohamed; Muhammad Abdullah Sohail; Rania Elbadry; Ahmed Nassar; Peter W. J. Staar; Fahad Shahbaz Khan; Imran Razzak; Salman Khan 001 (CoRR, 2026)

CEPO: RLVR Self-Distillation using Contrastive Evidence Policy Optimization. - Ahmed Heakl; Abdelrahman M. Shaker; Youssef Mohamed; Rania Elbadry; Omar Fetouh; Fahad Shahbaz Khan; Salman Khan 001 (CoRR, 2026)

StarIR: Convolutional Image Restoration With Spatial-Frequency Fusion. - Yuning Cui 001; Syed Waqas Zamir; Ming-Hsuan Yang 001; Alois Knoll; Fahad Shahbaz Khan; Salman Khan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2026)