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Kanchana Ranasinghe
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2020 – today
- 2025
- [i20]Ulindu De Silva, Didula Samaraweera, Sasini Wanigathunga, Kavindu Kariyawasam, Kanchana Ranasinghe, Muzammal Naseer, Ranga Rodrigo:
Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation. CoRR abs/2501.04696 (2025) - 2024
- [c13]Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin:
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. CVPR 2024: 12977-12987 - [c12]Cristina Mata, Kanchana Ranasinghe, Michael S. Ryoo:
CoPT: Unsupervised Domain Adaptive Segmentation Using Domain-Agnostic Text Embeddings. ECCV (62) 2024: 424-440 - [c11]Hasindri Watawana, Kanchana Ranasinghe, Tariq Mahmood, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan:
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning. MICCAI (4) 2024: 167-177 - [c10]Ryan Burgert
, Xiang Li
, Abe Leite
, Kanchana Ranasinghe
, Michael S. Ryoo
:
Diffusion Illusions: Hiding Images in Plain Sight. SIGGRAPH (Conference Paper Track) 2024: 131 - [i19]Hasindri Watawana, Kanchana Ranasinghe, Tariq Mahmood, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning. CoRR abs/2403.14616 (2024) - [i18]Kumara Kahatapitiya, Kanchana Ranasinghe, Jongwoo Park, Michael S. Ryoo:
Language Repository for Long Video Understanding. CoRR abs/2403.14622 (2024) - [i17]Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo:
Understanding Long Videos in One Multimodal Language Model Pass. CoRR abs/2403.16998 (2024) - [i16]Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin:
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. CoRR abs/2404.07449 (2024) - [i15]Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, Wonjeong Ryoo, Donghyun Kim, Michael S. Ryoo:
Too Many Frames, not all Useful: Efficient Strategies for Long-Form Video QA. CoRR abs/2406.09396 (2024) - [i14]Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo:
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. CoRR abs/2406.20095 (2024) - [i13]Kanchana Ranasinghe, Sadeep Jayasumana, Andreas Veit, Ayan Chakrabarti, Daniel Glasner, Michael S. Ryoo, Srikumar Ramalingam, Sanjiv Kumar:
LatentCRF: Continuous CRF for Efficient Latent Diffusion. CoRR abs/2412.18596 (2024) - 2023
- [c9]Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens:
Perceptual Grouping in Contrastive Vision-Language Models. ICCV 2023: 5548-5561 - [c8]Kanchana Ranasinghe, Michael S. Ryoo:
Language-based Action Concept Spaces Improve Video Self-Supervised Learning. NeurIPS 2023 - [i12]Kanchana Ranasinghe, Michael S. Ryoo:
Language-based Action Concept Spaces Improve Video Self-Supervised Learning. CoRR abs/2307.10922 (2023) - [i11]Ryan Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo:
Diffusion Illusions: Hiding Images in Plain Sight. CoRR abs/2312.03817 (2023) - 2022
- [c7]Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CVPR 2022: 2864-2874 - [c6]Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. ICLR 2022 - [i10]Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens:
Perceptual Grouping in Vision-Language Models. CoRR abs/2210.09996 (2022) - [i9]Ryan Burgert, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo:
Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors. CoRR abs/2211.13224 (2022) - 2021
- [c5]Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan:
Orthogonal Projection Loss. ICCV 2021: 12313-12323 - [c4]Sameera Ramasinghe, Kanchana Nisal Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. ICLR 2021 - [c3]Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. NeurIPS 2021: 23296-23308 - [i8]Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan:
Orthogonal Projection Loss. CoRR abs/2103.14021 (2021) - [i7]Muzammal Naseer, Kanchana Ranasinghe
, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. CoRR abs/2105.10497 (2021) - [i6]Muzammal Naseer, Kanchana Ranasinghe
, Salman H. Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. CoRR abs/2106.04169 (2021) - [i5]Kanchana Ranasinghe, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CoRR abs/2112.01514 (2021) - 2020
- [c2]Sadeep Jayasumana, Kanchana Ranasinghe, Sahan Liyanaarachchi, Mayuka Jayawardhana, Harsha Ranasinghe, Sina Samangooei:
Bipartite Conditional Random Fields for Panoptic Segmentation. BMVC 2020 - [i4]Sameera Ramasinghe, Kanchana Ranasinghe, Salman H. Khan, Nick Barnes, Stephen Gould:
Conditional Generative Modeling via Learning the Latent Space. CoRR abs/2010.03132 (2020)
2010 – 2019
- 2019
- [j1]Sameera Ramasinghe
, Jathushan Rajasegaran
, Vinoj Jayasundara, Kanchana Ranasinghe
, Ranga Rodrigo, Ajith A. Pasqual:
Combined Static and Motion Features for Deep-Networks-Based Activity Recognition in Videos. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2693-2707 (2019) - [i3]Sadeep Jayasumana, Kanchana Ranasinghe, Mayuka Jayawardhana, Sahan Liyanaarachchi, Harsha Ranasinghe:
Bipartite Conditional Random Fields for Panoptic Segmentation. CoRR abs/1912.05307 (2019) - [i2]Kanchana Ranasinghe, Sahan Liyanaarachchi, Harsha Ranasinghe, Mayuka Jayawardhana:
Extending Multi-Object Tracking systems to better exploit appearance and 3D information. CoRR abs/1912.11651 (2019) - 2018
- [i1]Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual:
Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos. CoRR abs/1810.06827 (2018) - 2017
- [c1]Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe
, Ranga Rodrigo, Ajith A. Pasqual:
Micro Actions and Deep Static Features for Activity Recognition. DICTA 2017: 1-8
Coauthor Index
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last updated on 2025-02-20 01:41 CET by the dblp team
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