Top-down color attention for object recognition. - Fahad Shahbaz Khan; Joost van de Weijer 001; María Vanrell 001 (ICCV, 2009)

The Impact of Color on Bag-of-Words Based Object Recognition. - David Augusto Rojas Vigo; Fahad Shahbaz Khan; Joost van de Weijer 001; Theo Gevers (ICPR, 2010)

Portmanteau Vocabularies for Multi-Cue Image Representation. - Fahad Shahbaz Khan; Joost van de Weijer 001; Andrew D. Bagdanov; María Vanrell 001 (NIPS, 2011)

Color attributes for object detection. - Fahad Shahbaz Khan; Rao Muhammad Anwer; Joost van de Weijer 001; Andrew D. Bagdanov; María Vanrell 001; Antonio M. López 001 (CVPR, 2012)

Modulating Shape Features by Color Attention for Object Recognition. - Fahad Shahbaz Khan; Joost van de Weijer 001; María Vanrell 001 (Int. J. Comput. Vis., 2012)

Discriminative compact pyramids for object and scene recognition. - Noha M. Elfiky; Fahad Shahbaz Khan; Joost van de Weijer 001; Jordi Gonzàlez 001 (Pattern Recognit., 2012)

Evaluating the Impact of Color on Texture Recognition. - Fahad Shahbaz Khan; Joost van de Weijer 001; Sadiq Ali; Michael Felsberg (CAIP (1), 2013)

Fusing Color and Shape for Bag-of-Words Based Object Recognition. - Joost van de Weijer 001; Fahad Shahbaz Khan (CCIW, 2013)

Discriminative Color Descriptors. - Rahat Khan; Joost van de Weijer 001; Fahad Shahbaz Khan; Damien Muselet; Christophe Ducottet; Cécile Barat (CVPR, 2013)

Coloring Action Recognition in Still Images. - Fahad Shahbaz Khan; Rao Muhammad Anwer; Joost van de Weijer 001; Andrew D. Bagdanov; Antonio M. López 001; Michael Felsberg (Int. J. Comput. Vis., 2013)

Interactive Visual and Semantic Image Retrieval. - Joost van de Weijer 001; Fahad Shahbaz Khan; Marc Masana (Multimodal Interaction in Image and Video Applications, 2013)

Accurate Scale Estimation for Robust Visual Tracking. - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (BMVC, 2014)

Adaptive Color Attributes for Real-Time Visual Tracking. - Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg; Joost van de Weijer 001 (CVPR, 2014)

A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems. - Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg; Karl Granström; Fredrik Heintz; Piotr Rudol; Mariusz Wzorek; Jonas Kvarnström; Patrick Doherty 001 (ECCV Workshops (1), 2014)

The Visual Object Tracking VOT2014 Challenge Results. - Matej Kristan; Roman P. Pflugfelder; Ales Leonardis; Jiri Matas; Luka Cehovin; Georg Nebehay; Tomás Vojír; Gustavo Fernández; Alan Lukezic; Aleksandar Dimitriev; Alfredo Petrosino; Amir Saffari; et al. (ECCV Workshops (2), 2014)

Scale Coding Bag-of-Words for Action Recognition. - Fahad Shahbaz Khan; Joost van de Weijer 001; Andrew D. Bagdanov; Michael Felsberg (ICPR, 2014)

Painting-91: a large scale database for computational painting categorization. - Fahad Shahbaz Khan; Shida Beigpour; Joost van de Weijer 001; Michael Felsberg (Mach. Vis. Appl., 2014)

Semantic Pyramids for Gender and Action Recognition. - Fahad Shahbaz Khan; Joost van de Weijer 001; Rao Muhammad Anwer; Michael Felsberg; Carlo Gatta (IEEE Trans. Image Process., 2014)

An Overview of Color Name Applications in Computer Vision. - Joost van de Weijer 001; Fahad Shahbaz Khan (CCIW, 2015)

Learning Spatially Regularized Correlation Filters for Visual Tracking. - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (ICCV, 2015)

Convolutional Features for Correlation Filter Based Visual Tracking. - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (ICCV Workshops, 2015)

Coloring Channel Representations for Visual Tracking. - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (SCIA, 2015)

Deep Semantic Pyramids for Human Attributes and Action Recognition. - Fahad Shahbaz Khan; Rao Muhammad Anwer; Joost van de Weijer 001; Michael Felsberg; Jorma Laaksonen (SCIA, 2015)

Compact color-texture description for texture classification. - Fahad Shahbaz Khan; Rao Muhammad Anwer; Joost van de Weijer 001; Michael Felsberg; Jorma Laaksonen (Pattern Recognit. Lett., 2015)

Recognizing Actions Through Action-Specific Person Detection. - Fahad Shahbaz Khan; Jiaolong Xu; Joost van de Weijer 001; Andrew D. Bagdanov; Rao Muhammad Anwer; Antonio M. López 001 (IEEE Trans. Image Process., 2015)

Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (CVPR, 2016)

A Probabilistic Framework for Color-Based Point Set Registration. - Martin Danelljan; Giulia Meneghetti; Fahad Shahbaz Khan; Michael Felsberg (CVPR, 2016)

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. - Martin Danelljan; Andreas Robinson; Fahad Shahbaz Khan; Michael Felsberg (ECCV (5), 2016)

The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. - Michael Felsberg; Matej Kristan; Jiri Matas; Ales Leonardis; Roman P. Pflugfelder; Gustav Häger; Amanda Berg; Abdelrahman Eldesokey; Jörgen Ahlberg; Luka Cehovin; Tomás Vojír; Alan Lukezic; et al. (ECCV Workshops (2), 2016)

The Visual Object Tracking VOT2016 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin; Tomás Vojír; Gustav Häger; Alan Lukezic; Gustavo Fernández; Abhinav Gupta 001; Alfredo Petrosino; et al. (ECCV Workshops (2), 2016)

Aligning the dissimilar: A probabilistic method for feature-based point set registration. - Martin Danelljan; Giulia Meneghetti; Fahad Shahbaz Khan; Michael Felsberg (ICPR, 2016)

Deep motion features for visual tracking. - Susanna Gladh; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (ICPR, 2016)

Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV. - Gustav Häger; Goutam Bhat; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg; Piotr Rudol; Patrick Doherty 001 (ISVC (1), 2016)

Combining Holistic and Part-based Deep Representations for Computational Painting Categorization. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Joost van de Weijer 001; Jorma Laaksonen (ICMR, 2016)

Ellipse Detection for Visual Cyclists Analysis "In the Wild". - Abdelrahman Eldesokey; Michael Felsberg; Fahad Shahbaz Khan (CAIP (1), 2017)

DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking. - Joakim Johnander; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (CAIP (1), 2017)

Deep Projective 3D Semantic Segmentation. - Felix Järemo Lawin; Martin Danelljan; Patrik Tosteberg; Goutam Bhat; Fahad Shahbaz Khan; Michael Felsberg (CAIP (1), 2017)

ECO: Efficient Convolution Operators for Tracking. - Martin Danelljan; Goutam Bhat; Fahad Shahbaz Khan; Michael Felsberg (CVPR, 2017)

The Visual Object Tracking VOT2017 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomas Vojir; Gustav Häger; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ICCV Workshops, 2017)

TEX-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Joost van de Weijer 001; Jorma Laaksonen (ICMR, 2017)

Top-Down Deep Appearance Attention for Action Recognition. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Joost van de Weijer 001; Jorma Laaksonen (SCIA (1), 2017)

Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Joost van de Weijer 001; Matthieu Molinier; Jorma Laaksonen (CoRR, 2017)

DCCO: Towards Deformable Continuous Convolution Operators. - Joakim Johnander; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2017)

Discriminative Scale Space Tracking. - Martin Danelljan; Gustav Häger; Fahad Shahbaz Khan; Michael Felsberg (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Combining Local and Global Models for Robust Re-detection. - Goutam Bhat; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (AVSS, 2018)

Propagating Confidences through CNNs for Sparse Data Regression. - Abdelrahman Eldesokey; Michael Felsberg; Fahad Shahbaz Khan (BMVC, 2018)

Density Adaptive Point Set Registration. - Felix Järemo Lawin; Martin Danelljan; Fahad Shahbaz Khan; Per-Erik Forssén; Michael Felsberg (CVPR, 2018)

Unveiling the Power of Deep Tracking. - Goutam Bhat; Joakim Johnander; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (ECCV (2), 2018)

On the Optimization of Advanced DCF-Trackers. - Joakim Johnander; Goutam Bhat; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (ECCV Workshops (1), 2018)

The Sixth Visual Object Tracking VOT2018 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ECCV Workshops (1), 2018)

Two-Stream Part-Based Deep Representation for Human Attribute Recognition. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Jorma Laaksonen (ICB, 2018)

HorizonNet for visual terrain navigation. - Bertil Grelsson; Andreas Robinson; Michael Felsberg; Fahad Shahbaz Khan (IPAS, 2018)

Countering Bias in Tracking Evaluations. - Gustav Häger; Michael Felsberg; Fahad Shahbaz Khan (VISIGRAPP (5: VISAPP), 2018)

Scale coding bag of deep features for human attribute and action recognition. - Fahad Shahbaz Khan; Joost van de Weijer 001; Rao Muhammad Anwer; Andrew D. Bagdanov; Michael Felsberg; Jorma Laaksonen (Mach. Vis. Appl., 2018)

Beyond Eleven Color Names for Image Understanding. - Lu Yu 004; Lichao Zhang; Joost van de Weijer 001; Fahad Shahbaz Khan; Yongmei Cheng; C. Alejandro Párraga (Mach. Vis. Appl., 2018)

Multi-stream Convolutional Networks for Indoor Scene Recognition. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Jorma Laaksonen; Nazar Zaki (CAIP (1), 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)

Object Counting and Instance Segmentation With Image-Level Supervision. - Hisham Cholakkal; Guolei Sun; Fahad Shahbaz Khan; Ling Shao 001 (CVPR, 2019)

ATOM: Accurate Tracking by Overlap Maximization. - Martin Danelljan; Goutam Bhat; Fahad Shahbaz Khan; Michael Felsberg (CVPR, 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)

Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video. - Radu Tudor Ionescu; Fahad Shahbaz Khan; Mariana-Iuliana Georgescu; Ling Shao 001 (CVPR, 2019)

A Generative Appearance Model for End-To-End Video Object Segmentation. - Joakim Johnander; Martin Danelljan; Emil Brissman; Fahad Shahbaz Khan; Michael Felsberg (CVPR, 2019)

Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition. - Devraj Mandal; Sanath Narayan; Sai Kumar Dwivedi; Vikram Gupta; Shuaib Ahmed; Fahad Shahbaz Khan; 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)

Efficient Featurized Image Pyramid Network for Single Shot Detector. - Yanwei Pang; Tiancai Wang; Rao Muhammad Anwer; Fahad Shahbaz Khan; Ling Shao 001 (CVPR, 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)

3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization. - Sanath Narayan; Hisham Cholakkal; Fahad Shahbaz Khan; Ling Shao 001 (ICCV, 2019)

Enriched Feature Guided Refinement Network for Object Detection. - Jing Nie 001; Rao Muhammad Anwer; Hisham Cholakkal; Fahad Shahbaz Khan; Yanwei Pang; Ling Shao 001 (ICCV, 2019)

Mask-Guided Attention Network for Occluded Pedestrian Detection. - Yanwei Pang; Jin Xie 005; Muhammad Haris Khan; Rao Muhammad Anwer; Fahad Shahbaz Khan; Ling Shao 001 (ICCV, 2019)

Learning Rich Features at High-Speed for Single-Shot Object Detection. - Tiancai Wang; Rao Muhammad Anwer; Hisham Cholakkal; Fahad Shahbaz Khan; Yanwei Pang; Ling Shao 001 (ICCV, 2019)

Deep Contextual Attention for Human-Object Interaction Detection. - Tiancai Wang; Rao Muhammad Anwer; Muhammad Haris Khan; Fahad Shahbaz Khan; Yanwei Pang; Ling Shao 001; Jorma Laaksonen (ICCV, 2019)

Learning the Model Update for Siamese Trackers. - Lichao Zhang; Abel Gonzalez-Garcia; Joost van de Weijer 001; Martin Danelljan; Fahad Shahbaz Khan (ICCV, 2019)

The Seventh Visual Object Tracking VOT2019 Challenge Results. - Matej Kristan; Amanda Berg; Linyu Zheng; Litu Rout; Luc Van Gool; Luca Bertinetto; Martin Danelljan; Matteo Dunnhofer; Meng Ni; Min Young Kim 003; Ming Tang 001; Ming-Hsuan Yang 001; et al. (ICCV Workshops, 2019)

Multi-Modal Fusion for End-to-End RGB-T Tracking. - Lichao Zhang; Martin Danelljan; Abel Gonzalez-Garcia; Joost van de Weijer 001; Fahad Shahbaz Khan (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)

Discriminative Online Learning for Fast Video Object Segmentation. - Andreas Robinson; Felix Järemo Lawin; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (CoRR, 2019)

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

Deep motion and appearance cues for visual tracking. - Martin Danelljan; Goutam Bhat; Susanna Gladh; Fahad Shahbaz Khan; Michael Felsberg (Pattern Recognit. Lett., 2019)

Synthetic Data Generation for End-to-End Thermal Infrared Tracking. - Lichao Zhang; Abel Gonzalez-Garcia; Joost van de Weijer 001; Martin Danelljan; Fahad Shahbaz Khan (IEEE Trans. Image Process., 2019)

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)

D2Det: Towards High Quality Object Detection and Instance Segmentation. - Jiale Cao; Hisham Cholakkal; Rao Muhammad Anwer; Fahad Shahbaz Khan; Yanwei Pang; Ling Shao 001 (CVPR, 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)

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)

Learning Fast and Robust Target Models for Video Object Segmentation. - Andreas Robinson; Felix Järemo Lawin; Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg (CVPR, 2020)

MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. - Yaxing Wang; Abel Gonzalez-Garcia; David Berga; Luis Herranz; Fahad Shahbaz Khan; Joost van de Weijer 001 (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)

Learning Human-Object Interaction Detection Using Interaction Points. - Tiancai Wang; Tong Yang 005; Martin Danelljan; Fahad Shahbaz Khan; Xiangyu Zhang 005; Jian Sun 001 (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)

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation. - Jiale Cao; Rao Muhammad Anwer; Hisham Cholakkal; Fahad Shahbaz Khan; Yanwei Pang; Ling Shao 001 (ECCV (14), 2020)

Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. - Sanath Narayan; Akshita Gupta; Fahad Shahbaz Khan; Cees G. M. Snoek; Ling Shao 001 (ECCV (22), 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; Wangmeng Zuo; Zhihong Pan 001; Baopu Li; Teng Xi; Yanwen Fan; Gang Zhang; Jingtuo Liu; Junyu Han; et al. (ECCV Workshops (3), 2020)

Count- and Similarity-Aware R-CNN for Pedestrian Detection. - Jin Xie 005; Hisham Cholakkal; Rao Muhammad Anwer; Fahad Shahbaz Khan; Yanwei Pang; Ling Shao 001; Mubarak Shah (ECCV (17), 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)

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)

PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection. - Jin Xie 005; Yanwei Pang; Hisham Cholakkal; Rao Muhammad Anwer; Fahad Shahbaz Khan; Ling Shao 001 (CoRR, 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)

A Scene-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Marius Popescu; Mubarak Shah (CoRR, 2020)

GPS-level accurate camera localization with HorizonNet. - Bertil Grelsson; Andreas Robinson; Michael Felsberg; Fahad Shahbaz Khan (J. Field Robotics, 2020)

Confidence Propagation through CNNs for Guided Sparse Depth Regression. - Abdelrahman Eldesokey; Michael Felsberg; Fahad Shahbaz Khan (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

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

Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. - Shivam Chandhok; Sanath Narayan; Hisham Cholakkal; Rao Muhammad Anwer; Vineeth N. Balasubramanian; Fahad Shahbaz Khan; Ling Shao 001 (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)

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. - Mariana-Iuliana Georgescu; Antonio Barbalau; Radu Tudor Ionescu; Fahad Shahbaz Khan; Marius Popescu; Mubarak Shah (CVPR, 2021)

Learning To Fuse Asymmetric Feature Maps in Siamese Trackers. - Wencheng Han; Xingping Dong; Fahad Shahbaz Khan; Ling Shao 001; Jianbing Shen (CVPR, 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)

D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations. - Sanath Narayan; Hisham Cholakkal; Munawar Hayat; Fahad Shahbaz Khan; Ming-Hsuan Yang 001; Ling Shao 001 (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)

The Ninth Visual Object Tracking VOT2021 Challenge Results. - Matej Kristan; Jirí Matas; Ales Leonardis; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Jani Käpylä; et al. (ICCVW, 2021)

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

PSC-Net: learning part spatial co-occurrence for occluded pedestrian detection. - Jin Xie 005; Yanwei Pang; Hisham Cholakkal; Rao Muhammad Anwer; Fahad Shahbaz Khan; Ling Shao 001 (Sci. China Inf. Sci., 2021)

Low Light Image Enhancement via Global and Local Context Modeling. - Aditya Arora; Muhammad Haris 002; Syed Waqas Zamir; Munawar Hayat; Fahad Shahbaz Khan; Ling Shao 001; Ming-Hsuan Yang 001 (CoRR, 2021)

Deep Gaussian Processes for Few-Shot Segmentation. - Joakim Johnander; Johan Edstedt; Martin Danelljan; Michael Felsberg; Fahad Shahbaz Khan (CoRR, 2021)

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. - Yaxing Wang; Abel Gonzalez-Garcia; Chenshen Wu; Luis Herranz; Fahad Shahbaz Khan; Shangling Jui; Joost van de Weijer 001 (CoRR, 2021)

Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. - Puneet Mangla; Shivam Chandhok; Vineeth N. Balasubramanian; Fahad Shahbaz Khan (CoRR, 2021)

CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation. - Nicolae-Catalin Ristea; Andreea-Iuliana Miron; Olivian Savencu; Mariana-Iuliana Georgescu; Nicolae Verga; Fahad Shahbaz Khan; Radu Tudor Ionescu (CoRR, 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)

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)

Airline ticket price and demand prediction: A survey. - Juhar Ahmed Abdella; Nazar M. Zaki; Khaled Shuaib; Fahad Shahbaz Khan (J. King Saud Univ. Comput. Inf. Sci., 2021)

Compact Deep Color Features for Remote Sensing Scene Classification. - Rao Muhammad Anwer; Fahad Shahbaz Khan; Jorma Laaksonen (Neural Process. Lett., 2021)

Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection. - Jin Xie 005; Yanwei Pang; Muhammad Haris Khan; Rao Muhammad Anwer; Fahad Shahbaz Khan; Ling Shao 001 (IEEE Trans. Image Process., 2021)

PS-ARM: An End-to-End Attention-Aware Relation Mixer Network for Person Search. - Mustansar Fiaz; Hisham Cholakkal; Sanath Narayan; Rao Muhammad Anwer; Fahad Shahbaz Khan (ACCV (5), 2022)

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)

UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. - Andra Acsintoae; Andrei Florescu; Mariana-Iuliana Georgescu; Tudor Mare; Paul Sumedrea; Radu Tudor Ionescu; Fahad Shahbaz Khan; Mubarak Shah (CVPR, 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)

PSTR: End-to-End One-Step Person Search With Transformers. - Jiale Cao; Yanwei Pang; Rao Muhammad Anwer; Hisham Cholakkal; Jin Xie 005; Mubarak Shah; Fahad Shahbaz Khan (CVPR, 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)

Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. - Nicolae-Catalin Ristea; Neelu Madan; Radu Tudor Ionescu; Kamal Nasrollahi; Fahad Shahbaz Khan; Thomas B. Moeslund; Mubarak Shah (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)

Dense Gaussian Processes for Few-Shot Segmentation. - Joakim Johnander; Johan Edstedt; Michael Felsberg; Fahad Shahbaz Khan; Martin Danelljan (ECCV (29), 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)

SepTr: Separable Transformer for Audio Spectrogram Processing. - Nicolae-Catalin Ristea; Radu Tudor Ionescu; Fahad Shahbaz Khan (INTERSPEECH, 2022)

Learning a Dynamic Cross-Modal Network for Multispectral Pedestrian Detection. - Jin Xie 005; Rao Muhammad Anwer; Hisham Cholakkal; Jing Nie 001; Jiale Cao; Jorma Laaksonen; Fahad Shahbaz Khan (ACM Multimedia, 2022)

On the Robustness of 3D Object Detectors. - Fatima Albreiki; Sultan Abu Ghazal; Jean Lahoud; Rao Muhammad Anwer; Hisham Cholakkal; Fahad Shahbaz Khan (MMAsia, 2022)

CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection. - Dhanalaxmi Gaddam; Jean Lahoud; Fahad Shahbaz Khan; Rao Muhammad Anwer; Hisham Cholakkal (MMAsia, 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)

COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. - Puneet Mangla; Shivam Chandhok; Vineeth N. Balasubramanian; Fahad Shahbaz Khan (WACV, 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)

Multi-scale Feature Aggregation for Crowd Counting. - Xiaoheng Jiang; Xinyi Wu; Hisham Cholakkal; Rao Muhammad Anwer; Jiale Cao; Mingliang Xu 001; Bing Zhou 003; Yanwei Pang; Fahad Shahbaz Khan (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)

Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation. - Nicolae-Catalin Ristea; Florinel-Alin Croitoru; Dana Dascalescu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Mubarak Shah (CoRR, 2022)

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

From Handcrafted to Deep Features for Pedestrian Detection: A Survey. - Jiale Cao; Yanwei Pang; Jin Xie 005; Fahad Shahbaz Khan; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 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)

A Background-Agnostic Framework With Adversarial Training for Abnormal Event Detection in Video. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Marius Popescu; Mubarak Shah (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)

Distilled Siamese Networks for Visual Tracking. - Jianbing Shen; Yuanpei Liu; Xingping Dong; Xiankai Lu; Fahad Shahbaz Khan; Steven C. H. Hoi (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Fast Video Instance Segmentation via Recurrent Encoder-Based Transformers. - Omkar Thawakar; Alexandre Rivkind; Ehud Ahissar; Fahad Shahbaz Khan (CAIP (1), 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)

3D-Aware Multi-Class Image-to-Image Translation with NeRFs. - Senmao Li; Joost van de Weijer 001; Yaxing Wang; Fahad Shahbaz Khan; Meiqin Liu 002; Jian Yang 003 (CVPR, 2023)

Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection. - Long Li 008; Junwei Han 001; Ni Zhang; Nian Liu; 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)

3D Instance Segmentation via Enhanced Spatial and Semantic Supervision. - Salwa K. Al Khatib; Mohamed El Amine Boudjoghra; Jean Lahoud; Fahad Shahbaz Khan (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; 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)

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)

Cross-Modulated Few-Shot Image Generation for Colorectal Tissue Classification. - Amandeep Kumar; Ankan Kumar Bhunia; Sanath Narayan; Hisham Cholakkal; Rao Muhammad Anwer; Jorma Laaksonen; Fahad Shahbaz Khan (MICCAI (3), 2023)

A Spatial-Temporal Deformable Attention Based Framework for Breast Lesion Detection in Videos. - Chao Qin; Jiale Cao; Huazhu Fu; Rao Muhammad Anwer; Fahad Shahbaz Khan (MICCAI (2), 2023)

3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers. - Omkar Thawakar; Rao Muhammad Anwer; Jorma Laaksonen; Orly Reiner; Mubarak Shah; Fahad Shahbaz Khan (MICCAI (8), 2023)

Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes. - Dmitry Demidov; Roba Al Majzoub; Amandeep Kumar; Fahad Shahbaz Khan (MLMI@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)

Salient Mask-Guided Vision Transformer for Fine-Grained Classification. - Dmitry Demidov; Muhammad Hamza Sharif; Aliakbar Abdurahimov; Hisham Cholakkal; Fahad Shahbaz Khan (VISIGRAPP (4: VISAPP), 2023)

SAT: Scale-Augmented Transformer for Person Search. - Mustansar Fiaz; Hisham Cholakkal; Rao Muhammad Anwer; Fahad Shahbaz Khan (WACV, 2023)

Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Andreea-Iuliana Miron; Olivian Savencu; Nicolae-Catalin Ristea; Nicolae Verga; Fahad Shahbaz Khan (WACV, 2023)

LEAPS: End-to-End One-Step Person Search With Learnable Proposals. - Zhiqiang Dong; Jiale Cao; Rao Muhammad Anwer; Jin Xie 005; Fahad Shahbaz Khan; Yanwei Pang (CoRR, 2023)

StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing. - Senmao Li; Joost van de Weijer 001; Taihang Hu; Fahad Shahbaz Khan; Qibin Hou; Yaxing Wang; Jian Yang 003 (CoRR, 2023)

DFormer: Diffusion-guided Transformer for Universal Image Segmentation. - Hefeng Wang; Jiale Cao; Rao Muhammad Anwer; Jin Xie 005; Fahad Shahbaz Khan; Yanwei Pang (CoRR, 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; 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)

Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement. - Basit Alawode; Fayaz Ali Dharejo; Mehnaz Ummar; Yuhang Guo; Arif Mahmood; Naoufel Werghi; Fahad Shahbaz Khan; Jiri Matas; Sajid Javed (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)

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models. - Senmao Li; Taihang Hu; Fahad Shahbaz Khan; Linxuan Li; Shiqi Yang; Yaxing Wang; Ming-Ming Cheng; Jian Yang 003 (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)

SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. - Antonio Barbalau; Radu Tudor Ionescu; Mariana-Iuliana Georgescu; Jacob V. Dueholm; Bharathkumar Ramachandra; Kamal Nasrollahi; Fahad Shahbaz Khan; Thomas B. Moeslund; Mubarak Shah (Comput. Vis. Image Underst., 2023)

SipMaskv2: Enhanced Fast Image and Video Instance Segmentation. - Jiale Cao; Yanwei Pang; Rao Muhammad Anwer; Hisham Cholakkal; Fahad Shahbaz Khan; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook. - Sajid Javed; Martin Danelljan; Fahad Shahbaz Khan; Muhammad Haris Khan; Michael Felsberg; Jiri Matas (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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

CyTran: A cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation. - Nicolae-Catalin Ristea; Andreea-Iuliana Miron; Olivian Savencu; Mariana-Iuliana Georgescu; Nicolae Verga; Fahad Shahbaz Khan; Radu Tudor Ionescu (Neurocomputing, 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)

Semi-supervised Open-World Object Detection. - Sahal Shaji Mullappilly; Abhishek Singh Gehlot; Rao Muhammad Anwer; Fahad Shahbaz Khan; Hisham Cholakkal (AAAI, 2024)

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)

VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning. - Ziyang Luo; Nian Liu; Wangbo Zhao; Xuguang Yang; Dingwen Zhang; Deng-Ping Fan; Fahad Khan 001; Junwei Han 001 (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)

Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors. - Nicolae-Catalin Ristea; Florinel-Alin Croitoru; Radu Tudor Ionescu; Marius Popescu; Fahad Shahbaz Khan; Mubarak Shah (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)

SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation. - Bin Xie; Jiale Cao; Jin Xie 005; Fahad Shahbaz Khan; Yanwei Pang (CVPR, 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)

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

Learning Camouflaged Object Detection from Noisy Pseudo Label. - Jin Zhang 021; Ruiheng Zhang 001; Yanjiao Shi; Zhe Cao 001; Nian Liu; Fahad Shahbaz Khan (ECCV (1), 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)

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

Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models. - Senmao Li; Joost van de Weijer 001; Taihang Hu; Fahad Shahbaz Khan; Qibin Hou; Yaxing Wang; Jian Yang 003 (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; Fahad Shahbaz Khan (ICML, 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; Muzammal Naseer; Fahad Shahbaz Khan; Karthik Nandakumar; Salman H. Khan 001; Rao Muhammad Anwer (MICCAI (12), 2024)

DB-SAM: Delving into High Quality Universal Medical Image Segmentation. - Chao Qin; Jiale Cao; Huazhu Fu; Fahad Shahbaz Khan; 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)

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)

Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis. - Taihang Hu; Linxuan Li; Joost van de Weijer 001; Hongcheng Gao; Fahad Shahbaz Khan; Jian Yang 003; Ming-Ming Cheng; Kai Wang 060; Yaxing Wang (NeurIPS, 2024)

Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference. - Senmao Li; Taihang Hu; Joost van de Weijer 001; Fahad Shahbaz Khan; Tao Liu; Linxuan Li; Shiqi Yang; Yaxing Wang; Ming-Ming Cheng; Jian Yang 003 (NeurIPS, 2024)

MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation. - Haotian Qian; Yinda Chen; Shengtao Lou; Fahad Shahbaz Khan; Xiaogang Jin 001; Deng-Ping Fan (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)

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)

Multi-Granularity Language-Guided Multi-Object Tracking. - Yuhao Li; Muzammal Naseer; Jiale Cao; Yu Zhu 004; Jinqiu Sun; Yanning Zhang 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)

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)

iSeg: An Iterative Refinement-based Framework for Training-free Segmentation. - Lin Sun; Jiale Cao; Jin Xie 005; Fahad Shahbaz Khan; Yanwei Pang (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)

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 (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)

ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction. - Dubing Chen; Jin Fang; Wencheng Han; Xinjing Cheng; Jun Yin 003; Chenzhong Xu; Fahad Shahbaz Khan; Jianbing Shen (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)

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 H. Khan 001 (CoRR, 2024)

Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook. - Florinel-Alin Croitoru; Andrei Iulian Hîji; Vlad Hondru; Nicolae-Catalin Ristea; Paul Irofti; Marius Popescu; Cristian Rusu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Mubarak Shah (CoRR, 2024)

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 Khan 001; Rao Muhammad Anwer; Salman Khan 001; Timothy Baldwin; Hisham Cholakkal (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)

Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation. - Haotian Qian; YD Chen; Shengtao Lou; Fahad Shahbaz Khan; Xiaogang Jin 001; Deng-Ping Fan (CoRR, 2024)

Lightning fast video anomaly detection via multi-scale adversarial distillation. - Florinel-Alin Croitoru; Nicolae-Catalin Ristea; Dana Dascalescu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Mubarak Shah (Comput. Vis. Image Underst., 2024)

Visual attention methods in deep learning: An in-depth survey. - Mohammed Hassanin; Saeed Anwar; Ibrahim Radwan; Fahad Shahbaz Khan; Ajmal Mian (Inf. Fusion, 2024)

Guided-attention and gated-aggregation network for medical image segmentation. - Mustansar Fiaz; Mubashir Noman; Hisham Cholakkal; Rao Muhammad Anwer; Jacob Hanna; Fahad Shahbaz Khan (Pattern Recognit., 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)

Effectiveness assessment of recent large vision-language models. - Yao Jiang 002; Xinyu Yan 001; Ge-Peng Ji; Keren Fu; Meijun Sun; Huan Xiong; Deng-Ping Fan; Fahad Shahbaz Khan (Vis. Intell., 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; Salman H. Khan 001; Hisham Cholakkal; Rao Muhammad Anwer; Fahad Khan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. - Neelu Madan; Nicolae-Catalin Ristea; Radu Tudor Ionescu; Kamal Nasrollahi; Fahad Shahbaz Khan; Thomas B. Moeslund; Mubarak Shah (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. - Yaxing Wang; Abel Gonzalez-Garcia; Chenshen Wu; Luis Herranz; Fahad Shahbaz Khan; Shangling Jui; Jian Yang 003; Joost van de Weijer 001 (Int. J. Comput. Vis., 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)

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; 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)

One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models. - Senmao Li; Lei Wang; Kai Wang 060; Tao Liu; Jiehang Xie; Joost van de Weijer 001; Fahad Shahbaz Khan; Shiqi Yang; Yaxing Wang; Jian Yang 003 (CVPR, 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)

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)

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)

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration. - Senmao Li; Kai Wang 060; Joost van de Weijer 001; Fahad Shahbaz Khan; Chun-Le Guo; Shiqi Yang; Yaxing Wang; Jian Yang 003; Ming-Ming Cheng (ICLR, 2025)

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt. - Tao Liu; Kai Wang 060; Senmao Li; Joost van de Weijer 001; Fahad Shahbaz Khan; Shiqi Yang; Yaxing Wang; Jian Yang 003; Ming-Ming Cheng (ICLR, 2025)

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning. - Zihan Ye; Shreyank N. Gowda; Shiming Chen 002; Xiaowei Huang 001; Haotian Xu; Fahad Shahbaz Khan; Yaochu Jin; Kaizhu Huang; Xiaobo Jin (ICLR, 2025)

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

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

Image colorization: A survey and dataset. - Saeed Anwar; Muhammad Tahir 006; Chongyi Li; Ajmal Mian; Fahad Shahbaz Khan; Abdul Wahab Muzaffar (Inf. Fusion, 2025)

Video Instance Segmentation Without Using Mask and Identity Supervision. - Ge Li; Jiale Cao; Hanqing Sun 001; Rao Muhammad Anwer; Jin Xie 005; Fahad Khan 001; Yanwei Pang (IEEE Trans. Multim., 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)

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

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 H. 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)

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. (CoRR, 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 (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)

Guest Editorial Special Issue on Effective Feature Fusion in Deep Neural Networks. - Yanwei Pang; Fahad Shahbaz Khan; Xin Lu; Fabio Cuzzolin (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)

Foundation Models Defining a New Era in Vision: A Survey and Outlook. - Muhammad Awais; 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)

MAVOS-DD: Multilingual Audio-Video Open-Set Deepfake Detection Benchmark. - Florinel-Alin Croitoru; Vlad Hondru; Marius Popescu; Radu Tudor Ionescu; Fahad Shahbaz Khan; Mubarak Shah (CoRR, 2025)

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

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models. - Senmao Li; Lei Wang; Kai Wang 060; Tao Liu; Jiehang Xie; Joost van de Weijer 001; Fahad Shahbaz Khan; Shiqi Yang; Yaxing Wang; Jian Yang 003 (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)

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. (CoRR, 2025)

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

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

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

RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping. - Dongming Wu; Yanping Fu; Saike Huang; Yingfei Liu; Fan Jia; Nian Liu; Feng Dai; Tiancai Wang; Rao Muhammad Anwer; Fahad Shahbaz Khan; Jianbing Shen (CoRR, 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 (CoRR, 2025)

AURORA: Augmented Understanding via Structured Reasoning and Reinforcement Learning for Reference Audio-Visual Segmentation. - Ziyang Luo; Nian Liu; Fahad Shahbaz Khan; Junwei Han 001 (CoRR, 2025)

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