Kanchana Ranasinghe

According to our database, Kanchana Ranasinghe authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

Understanding Long Videos in One Multimodal Language Model Pass.

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

CoRR, 2024

Language Repository for Long Video Understanding.

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

CoRR, 2024

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

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

CoRR, 2024

2023

Diffusion Illusions: Hiding Images in Plain Sight.

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

CoRR, 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 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