Micro Actions and Deep Static Features for Activity Recognition. - Sameera Ramasinghe; Jathushan Rajasegaran; Vinoj Jayasundara 001; Kanchana Ranasinghe; Ranga Rodrigo; Ajith A. Pasqual (DICTA, 2017)

Bipartite Conditional Random Fields for Panoptic Segmentation. - Sadeep Jayasumana; Kanchana Ranasinghe; Mayuka Jayawardhana; Sahan Liyanaarachchi; Harsha Ranasinghe (CoRR, 2019)

Extending Multi-Object Tracking systems to better exploit appearance and 3D information. - Kanchana Ranasinghe; Sahan Liyanaarachchi; Harsha Ranasinghe; Mayuka Jayawardhana (CoRR, 2019)

Combined Static and Motion Features for Deep-Networks-Based Activity Recognition in Videos. - Sameera Ramasinghe; Jathushan Rajasegaran; Vinoj Jayasundara 001; Kanchana Ranasinghe; Ranga Rodrigo; Ajith A. Pasqual (IEEE Trans. Circuits Syst. Video Technol., 2019)

Bipartite Conditional Random Fields for Panoptic Segmentation. - Sadeep Jayasumana; Kanchana Ranasinghe; Sahan Liyanaarachchi; Mayuka Jayawardhana; Harsha Ranasinghe; Sina Samangooei (BMVC, 2020)

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

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

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

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

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

Perceptual Grouping in Vision-Language Models. - Kanchana Ranasinghe; Brandon McKinzie; Sachin Ravi; Yinfei Yang; Alexander Toshev; Jonathon Shlens (CoRR, 2022)

Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors. - Ryan D. Burgert; Kanchana Ranasinghe; Xiang Li 109; Michael S. Ryoo (CoRR, 2022)

Perceptual Grouping in Contrastive Vision-Language Models. - Kanchana Ranasinghe; Brandon McKinzie; Sachin Ravi; Yinfei Yang; Alexander Toshev; Jonathon Shlens (ICCV, 2023)

Language-based Action Concept Spaces Improve Video Self-Supervised Learning. - Kanchana Ranasinghe; Michael S. Ryoo (NeurIPS, 2023)

Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. - Kanchana Ranasinghe; Satya Narayan Shukla; Omid Poursaeed; Michael S. Ryoo; Tsung-Yu Lin (CVPR, 2024)

CoPT: Unsupervised Domain Adaptive Segmentation Using Domain-Agnostic Text Embeddings. - Cristina Mata; Kanchana Ranasinghe; Michael S. Ryoo (ECCV (62), 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)

Diffusion Illusions: Hiding Images in Plain Sight. - Ryan D. Burgert; Xiang Li 109; Abe Leite; Kanchana Ranasinghe; Michael S. Ryoo (SIGGRAPH (Conference Paper Track), 2024)

Understanding Long Videos in One Multimodal Language Model Pass. - Kanchana Ranasinghe; Xiang Li 109; Kumara Kahatapitiya; Michael S. Ryoo (CoRR, 2024)

Too Many Frames, not all Useful: Efficient Strategies for Long-Form Video QA. - Jongwoo Park 003; Kanchana Ranasinghe; Kumara Kahatapitiya; Wonjeong Ryoo; Donghyun Kim 006; Michael S. Ryoo (CoRR, 2024)

LatentCRF: Continuous CRF for Efficient Latent Diffusion. - Kanchana Ranasinghe; Sadeep Jayasumana; Andreas Veit; Ayan Chakrabarti; Daniel Glasner; Michael S. Ryoo; Srikumar Ramalingam; Sanjiv Kumar (CoRR, 2024)

Language Repository for Long Video Understanding. - Kumara Kahatapitiya; Kanchana Ranasinghe; Jongwoo Park 003; Michael S. Ryoo (ACL (Findings), 2025)

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. - Xiang Li 109; Cristina Mata; Jongwoo Park 003; Kumara Kahatapitiya; Yoo Sung Jang; Jinghuan Shang; Kanchana Ranasinghe; Ryan D. Burgert; Mu Cai; Yong Jae Lee; Michael S. Ryoo (ICLR, 2025)

Understanding Long Videos with Multimodal Language Models. - Kanchana Ranasinghe; Xiang Li 109; Kumara Kahatapitiya; Michael S. Ryoo (ICLR, 2025)

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation. - Ulindu De Silva; Didula Samaraweera; Sasini Wanigathunga; Kavindu Kariyawasam; Kanchana Ranasinghe; Muzammal Naseer; Ranga Rodrigo (CoRR, 2025)

Pixel Motion as Universal Representation for Robot Control. - Kanchana Ranasinghe; Xiang Li 109; Cristina Mata; Jongwoo Park 003; Michael S. Ryoo (CoRR, 2025)