Evaluation of Spatiotemporal Detectors and Descriptors for Facial Expression Recognition. - Munawar Hayat; Mohammed Bennamoun; Amar A. El-Sallam (HSI, 2012)

Novel low level local features for 3D expression invariant face recognition. - Munawar Hayat; Mohammed Bennamoun; Yinjie Lei; Amar A. El-Sallam (ICARCV, 2012)

Fully automatic face recognition from 3D videos. - Munawar Hayat; Mohammed Bennamoun; Amar A. El-Sallam (ICPR, 2012)

Clustering of video-patches on Grassmannian manifold for facial expression recognition from 3D videos. - Munawar Hayat; Mohammed Bennamoun; Amar A. El-Sallam (WACV, 2013)

Learning Non-linear Reconstruction Models for Image Set Classification. - Munawar Hayat; Mohammed Bennamoun; Senjian An (CVPR, 2014)

Reverse Training: An Efficient Approach for Image Set Classification. - Munawar Hayat; Mohammed Bennamoun; Senjian An (ECCV (6), 2014)

An efficient 3D face recognition approach using local geometrical signatures. - Yinjie Lei; Mohammed Bennamoun; Munawar Hayat; Yulan Guo (Pattern Recognit., 2014)

An Automatic Framework for Textured 3D Video-Based Facial Expression Recognition. - Munawar Hayat; Mohammed Bennamoun (IEEE Trans. Affect. Comput., 2014)

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)

Deep Reconstruction Models for Image Set Classification. - Munawar Hayat; Mohammed Bennamoun; Senjian An (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Measuring the Effect of CMMI Quality Standard on Agile Scrum Model. - Munawar Hayat; M. Rizwan Jameel Qureshi (CoRR, 2016)

An RGB-D based image set classification for robust face recognition from Kinect data. - Munawar Hayat; Mohammed Bennamoun; Amar A. El-Sallam (Neurocomputing, 2016)

A Two-Phase Weighted Collaborative Representation for 3D partial face recognition with single sample. - Yinjie Lei; Yulan Guo; Munawar Hayat; Mohammed Bennamoun; Xinzhi Zhou (Pattern Recognit., 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)

Heart rate estimation from facial videos for depression analysis. - Aamir Mustafa; Shalini Bhatia; Munawar Hayat; Roland Goecke (ACII, 2017)

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

A Video-Based Facial Behaviour Analysis Approach to Melancholia. - Shalini Bhatia; Munawar Hayat; Michael Breakspear; Gordon Parker; Roland Goecke (FG, 2017)

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

A multimodal system to characterise melancholia: cascaded bag of words approach. - Shalini Bhatia; Munawar Hayat; Roland Goecke (ICMI, 2017)

Investigating Word Affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 2017. - Ting Dang; Brian Stasak; Zhaocheng Huang; Sadari Jayawardena; Mia Atcheson; Munawar Hayat; Phu Ngoc Le; Vidhyasaharan Sethu; Roland Goecke; Julien Epps (AVEC@ACM Multimedia, 2017)

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

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

Response to "Ghost Numbers". - Munawar Hayat; Mohammed Bennamoun; Senjian An (IEEE Trans. Pattern Anal. Mach. Intell., 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)

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)

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)

Fused Geometry Augmented Images for Analyzing Textured Mesh. - Bilal Taha; Munawar Hayat; Stefano Berretti; Naoufel Werghi (ICSM, 2019)

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

Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection. - Bilal Taha; Munawar Hayat; Stefano Berretti; Naoufel Werghi (CoRR, 2019)

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

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

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)

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)

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)

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)

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)

Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection. - Bilal Taha; Munawar Hayat; Stefano Berretti; Dimitrios Hatzinakos; Naoufel Werghi (IEEE Trans. Circuits Syst. Video Technol., 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)

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)

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)

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)

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)

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

A Volumetric Transformer for Accurate 3D Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (CoRR, 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)

'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze Estimation. - Shreya Ghosh 001; Abhinav Dhall; Munawar Hayat; Jarrod Knibbe (ACCV (4), 2022)

Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (BrainLes@MICCAI (2), 2022)

Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds. - Zhao Jin; Yinjie Lei; Naveed Akhtar; Haifeng Li 007; Munawar Hayat (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)

Towards Robust and Reproducible Active Learning using Neural Networks. - Prateek Munjal; Nasir Hayat; Munawar Hayat; Jamshid Sourati; Shadab Khan (CVPR, 2022)

Semantic-Aware Domain Generalized Segmentation. - Duo Peng; Yinjie Lei; Munawar Hayat; Yulan Guo; Wen Li 001 (CVPR, 2022)

ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues. - Hengcan Shi; Munawar Hayat; Yicheng Wu 001; Jianfei Cai 001 (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)

AV-GAZE: A Study on the Effectiveness of Audio Guided Visual Attention Estimation for Non-profilic Faces. - Shreya Ghosh 001; Abhinav Dhall; Munawar Hayat; Jarrod Knibbe (ICIP, 2022)

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (MICCAI (5), 2022)

MTGLS: Multi-Task Gaze Estimation with Limited Supervision. - Shreya Ghosh 001; Munawar Hayat; Abhinav Dhall; Jarrod Knibbe (WACV, 2022)

Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization. - Zhixi Cai; Kalin Stefanov; Abhinav Dhall; Munawar Hayat (CoRR, 2022)

Defense against Privacy Leakage in Federated Learning. - Jing Wu 021; Munawar Hayat; Mingyi Zhou; Mehrtash Harandi (CoRR, 2022)

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

LAVA: Label-efficient Visual Learning and Adaptation. - Islam Nassar; Munawar Hayat; Ehsan Abbasnejad; Hamid Rezatofighi; Mehrtash Harandi; Gholamreza Haffari (CoRR, 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)

MARLIN: Masked Autoencoder for facial video Representation LearnINg. - Zhixi Cai; Shreya Ghosh 001; Kalin Stefanov; Abhinav Dhall; Jianfei Cai 001; Hamid Rezatofighi; Reza Haffari; Munawar Hayat (CVPR, 2023)

Context-aware Alignment and Mutual Masking for 3D-Language Pre-training. - Zhao Jin; Munawar Hayat; Yuwei Yang; Yulan Guo; Yinjie Lei (CVPR, 2023)

Protocon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning. - Islam Nassar; Munawar Hayat; Ehsan Abbasnejad; Hamid Rezatofighi; Gholamreza Haffari (CVPR, 2023)

Transformer Scale Gate for Semantic Segmentation. - Hengcan Shi; Munawar Hayat; Jianfei Cai 001 (CVPR, 2023)

Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation. - Yuwei Yang; Munawar Hayat; Zhao Jin; Chao Ren 002; Yinjie Lei (CVPR, 2023)

Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation. - Samitha Herath; Basura Fernando; Ehsan Abbasnejad; Munawar Hayat; Shahram Khadivi; Mehrtash Harandi; Hamid Rezatofighi; Gholamreza Haffari (ICCV, 2023)

Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis. - Yuwei Yang; Munawar Hayat; Zhao Jin; Hongyuan Zhu; Yinjie Lei (ICCV, 2023)

Can we Distill Knowledge from Powerful Teachers Directly? - Chengyao Qian; Munawar Hayat; Mehrtash Harandi (ICIP, 2023)

GraphITTI: Attributed Graph-based Dominance Ranking in Social Interaction Videos. - Garima Sharma; Shreya Ghosh 001; Abhinav Dhall; Munawar Hayat; Jianfei Cai 001; Tom Gedeon (ICMI Companion, 2023)

Real-Time Trajectory-Based Social Group Detection. - Simindokht Jahangard; Munawar Hayat; Hamid Rezatofighi (IROS, 2023)

AI-Assisted Digital Pathology for Computational distinction of adenocarcinoma vs squamous cell carcinoma. - Vyomesh Jamwal; Abzal Nurgazy; Amina Izbassar; Munawar Hayat (M2VIP, 2023)

Open-Vocabulary Object Detection via Scene Graph Discovery. - Hengcan Shi; Munawar Hayat; Jianfei Cai 001 (ACM Multimedia, 2023)

LAVA:Label-efficient Visual Learning and Adaptation. - Islam Nassar; Munawar Hayat; Ehsan Abbasnejad; Hamid Rezatofighi; Mehrtash Harandi; Gholamreza Haffari (WACV, 2023)

"Glitch in the Matrix!": A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization. - Zhixi Cai; Shreya Ghosh 001; Abhinav Dhall; Tom Gedeon; Kalin Stefanov; Munawar Hayat (CoRR, 2023)

AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset. - Zhixi Cai; Shreya Ghosh 001; Aman Pankaj Adatia; Munawar Hayat; Abhinav Dhall; Kalin Stefanov (CoRR, 2023)

Synthesis of a six-bar mechanism for generating knee and ankle motion trajectories using deep generative neural network. - Akim Kapsalyamov; Shahid Hussain 003; Nicholas A. T. Brown; Roland Goecke; Munawar Hayat; Prashant Kumar Jamwal (Eng. Appl. Artif. Intell., 2023)

Unpaired referring expression grounding via bidirectional cross-modal matching. - Hengcan Shi; Munawar Hayat; Jianfei Cai 001 (Neurocomputing, 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)

Deep Hypersphere Feature Regularization for Weakly Supervised RGB-D Salient Object Detection. - Zhiyu Liu; Munawar Hayat; Hong Yang; Duo Peng; Yinjie Lei (IEEE Trans. Image Process., 2023)

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

Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (Nat. Mac. 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)

Glitch in the matrix: A large scale benchmark for content driven audio-visual forgery detection and localization. - Zhixi Cai; Shreya Ghosh 001; Abhinav Dhall; Tom Gedeon; Kalin Stefanov; Munawar Hayat (Comput. Vis. Image Underst., 2023)

Concealing Sensitive Samples against Gradient Leakage in Federated Learning. - Jing Wu 021; Munawar Hayat; Mingyi Zhou; Mehrtash Harandi (AAAI, 2024)

Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models. - Parul Gupta; Munawar Hayat; Abhinav Dhall; Thanh-Toan Do (ACCV (5), 2024)

Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit. - Shreya Ghosh 001; Zhixi Cai; Parul Gupta; Garima Sharma; Abhinav Dhall; Munawar Hayat; Tom Gedeon (ACII (Workshops and Demos), 2024)

OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation. - Jisoo Jeong; Hong Cai; Risheek Garrepalli; Jamie Menjay Lin; Munawar Hayat; Fatih Porikli (CVPR, 2024)

DiffAugment: Diffusion Based Long-Tailed Visual Relationship Recognition. - Parul Gupta; Tuan Nguyen 004; Abhinav Dhall; Munawar Hayat; Trung Le 001; Thanh-Toan Do (ECCV Workshops (20), 2024)

AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset. - Zhixi Cai; Shreya Ghosh 001; Aman Pankaj Adatia; Munawar Hayat; Abhinav Dhall; Tom Gedeon; Kalin Stefanov (ACM Multimedia, 2024)

1M-Deepfakes Detection Challenge. - Zhixi Cai; Abhinav Dhall; Shreya Ghosh 001; Munawar Hayat; Dimitrios Kollias; Kalin Stefanov; Usman Tariq (ACM Multimedia, 2024)

FouRA: Fourier Low-Rank Adaptation. - Shubhankar Borse; Shreya Kadambi; Nilesh Prasad Pandey; Kartikeya Bhardwaj; Viswanath Ganapathy; Sweta Priyadarshi; Risheek Garrepalli; Rafael Esteves 002; Munawar Hayat; Fatih Porikli (NeurIPS, 2024)

EraseDiff: Erasing Data Influence in Diffusion Models. - Jing Wu 021; Trung Le 001; Munawar Hayat; Mehrtash Harandi (CoRR, 2024)

PosSAM: Panoptic Open-vocabulary Segment Anything. - Vibashan VS; Shubhankar Borse; Hyojin Park 004; Debasmit Das; Vishal M. Patel; Munawar Hayat; Fatih Porikli (CoRR, 2024)

DDIL: Improved Diffusion Distillation With Imitation Learning. - Risheek Garrepalli; Shweta Mahajan; Munawar Hayat; Fatih Porikli (CoRR, 2024)

Survey: Image mixing and deleting for data augmentation. - Humza Naveed; Saeed Anwar; Munawar Hayat; Kashif Javed; Ajmal Mian (Eng. Appl. Artif. Intell., 2024)

Unified Open-Vocabulary Dense Visual Prediction. - Hengcan Shi; Munawar Hayat; Jianfei Cai 001 (IEEE Trans. Multim., 2024)

Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches. - Shreya Ghosh 001; Abhinav Dhall; Munawar Hayat; Jarrod Knibbe; Qiang Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Deep learning based synthesis of MRI, CT and PET: Review and analysis. - Sanuwani Dayarathna; Kh Tohidul Islam; Sergio Uribe; Guang Yang 006; Munawar Hayat; Zhaolin Chen (Medical Image Anal., 2024)

Erasing Undesirable Influence in Diffusion Models. - Jing Wu 021; Trung Le 001; Munawar Hayat; Mehrtash Harandi (CVPR, 2025)

HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories. - Eric Hedlin; Munawar Hayat; Fatih Porikli; Kwang Moo Yi; Shweta Mahajan (CVPR, 2025)

CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation. - Jungsoo Lee; Debasmit Das; Munawar Hayat; Sungha Choi; Kyuwoong Hwang; Fatih Porikli (CVPR, 2025)

Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning. - Juntae Lee; Munawar Hayat; Sungrack Yun (CVPR, 2025)

Flashbacks to harmonize stability and plasticity in continual learning. - Leila Mahmoodi; Peyman Moghadam; Munawar Hayat; Christian Simon; Mehrtash Harandi (Neural Networks, 2025)

SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization. - Shubhankar Borse; Kartikeya Bhardwaj; Mohammad Reza Karimi Dastjerdi; Hyojin Park 004; Shreya Kadambi; Shobitha Shivakumar; Prathamesh Mandke; Ankita Nayak; Harris Teague; Munawar Hayat; Fatih Porikli (CoRR, 2025)

DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization. - Aniket Roy; Shubhankar Borse; Shreya Kadambi; Debasmit Das; Shweta Mahajan; Risheek Garrepalli; Hyojin Park 004; Ankita Nayak; Rama Chellappa; Munawar Hayat; Fatih Porikli (CoRR, 2025)

MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans. - Shubhankar Borse; Seokeon Choi; Sunghyun Park 005; Jeongho Kim 007; Shreya Kadambi; Risheek Garrepalli; Sungrack Yun; Munawar Hayat; Fatih Porikli (CoRR, 2025)

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints. - Debasmit Das; Hyoungwoo Park; Munawar Hayat; Seokeon Choi; Sungrack Yun; Fatih Porikli (CoRR, 2025)

Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation. - Sunghyun Park 005; Jungsoo Lee; Shubhankar Borse; Munawar Hayat; Sungha Choi; Kyuwoong Hwang; Fatih Porikli (CoRR, 2025)