Kanchana Ranasinghe

According to our database, Kanchana Ranasinghe authored at least 32 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LACE: Latent Visual Representation for Cross-Embodiment Learning.

Yoo Sung Jang, Kanchana Ranasinghe, Cristina Mata, Yichi Zhang, Jorge Mendez-Mendez, Michael S. Ryoo

CoRR, May, 2026

IVRA: Improving Visual-Token Relations for Robot Action Policy with Training-Free Hint-Based Guidance.

Jongwoo Park, Kanchana Ranasinghe, Jinhyeok Jang, Cristina Mata, Yoo Sung Jang, Michael S. Ryoo

CoRR, January, 2026

Future Optical Flow Prediction Improves Robot Control & Video Generation.

Kanchana Ranasinghe, Honglu Zhou, Yu Fang, Luyu Yang, Le Xue, Ran Xu, Caiming Xiong, Silvio Savarese, Michael S. Ryoo, Juan Carlos Niebles

CoRR, January, 2026

Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA.

Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, Wonjeong Ryu, Donghyun Kim, Michael S. Ryoo

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Robotic VLA Benefits from Joint Learning with Motion Image Diffusion.

Yu Fang, Kanchana Ranasinghe, Le Xue, Honglu Zhou, Juntao Tan, Ran Xu, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Daniel Szafir, Mingyu Ding, Michael S. Ryoo, Juan Carlos Niebles

CoRR, December, 2025

Pixel Motion Diffusion is What We Need for Robot Control.

E-Ro Nguyen, Yichi Zhang, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo

CoRR, September, 2025

Pixel Motion as Universal Representation for Robot Control.

Kanchana Ranasinghe, Xiang Li, Cristina Mata, Jongwoo Park, Michael S. Ryoo

CoRR, May, 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, January, 2025

Understanding Long Videos with Multimodal Language Models.

Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy.

Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan D. Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Language Repository for Long Video Understanding.

Kumara Kahatapitiya, Kanchana Ranasinghe, Jongwoo Park, Michael S. Ryoo

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Too Many Frames, not all Useful: Efficient Strategies for Long-Form Video QA.

Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, Wonjeong Ryoo, Donghyun Kim, Michael S. Ryoo

CoRR, 2024

Understanding Long Videos in One Multimodal Language Model Pass.

Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo

CoRR, 2024

Diffusion Illusions: Hiding Images in Plain Sight.

Ryan D. Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning.

Hasindri Watawana, Kanchana Ranasinghe, Tariq Mahmood, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CoPT: Unsupervised Domain Adaptive Segmentation Using Domain-Agnostic Text Embeddings.

Cristina Mata, Kanchana Ranasinghe, Michael S. Ryoo

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs.

Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Language-based Action Concept Spaces Improve Video Self-Supervised Learning.

Kanchana Ranasinghe, Michael S. Ryoo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Perceptual Grouping in Contrastive Vision-Language Models.

Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors.

Ryan D. Burgert, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo

CoRR, 2022

Perceptual Grouping in Vision-Language Models.

Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens

CoRR, 2022

On Improving Adversarial Transferability of Vision Transformers.

Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Shahbaz Khan, Fatih Porikli

Proceedings of the Tenth International Conference on Learning Representations, 2022

Self-supervised Video Transformer.

Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael S. Ryoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Intriguing Properties of Vision Transformers.

Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Conditional Generative Modeling via Learning the Latent Space.

Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould

Proceedings of the 9th International Conference on Learning Representations, 2021

Orthogonal Projection Loss.

Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Bipartite Conditional Random Fields for Panoptic Segmentation.

Sadeep Jayasumana, Kanchana Ranasinghe, Sahan Liyanaarachchi, Mayuka Jayawardhana, Harsha Ranasinghe, Sina Samangooei

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Combined Static and Motion Features for Deep-Networks-Based Activity Recognition in Videos.

Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual

IEEE Trans. Circuits Syst. Video Technol., 2019

Extending Multi-Object Tracking systems to better exploit appearance and 3D information.

Kanchana Ranasinghe, Sahan Liyanaarachchi, Harsha Ranasinghe, Mayuka Jayawardhana

CoRR, 2019

Bipartite Conditional Random Fields for Panoptic Segmentation.

Sadeep Jayasumana, Kanchana Ranasinghe, Mayuka Jayawardhana, Sahan Liyanaarachchi, Harsha Ranasinghe

CoRR, 2019

2017

Micro Actions and Deep Static Features for Activity Recognition.

Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017