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


Nov 23, 2022
Ryan Burgert, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo

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* 19 pages; contains appendix 
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Perceptual Grouping in Vision-Language Models


Oct 18, 2022
Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens

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Self-supervised Video Transformer


Dec 02, 2021
Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael Ryoo

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Intriguing Properties of Vision Transformers


Jun 08, 2021
Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang

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* Code: https://git.io/Js15X 
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On Improving Adversarial Transferability of Vision Transformers


Jun 08, 2021
Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Shahbaz Khan, Fatih Porikli

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* Code: https://git.io/JZmG3 
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Orthogonal Projection Loss


Mar 25, 2021
Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman Khan, Fahad Shahbaz Khan

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Conditional Generative Modeling via Learning the Latent Space


Oct 09, 2020
Sameera Ramasinghe, Kanchana Ranasinghe, Salman Khan, Nick Barnes, Stephen Gould

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


Dec 25, 2019
Kanchana Ranasinghe, Sahan Liyanaarachchi, Harsha Ranasinghe, Mayuka Jayawardhana

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* 7 pages 
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Bipartite Conditional Random Fields for Panoptic Segmentation


Dec 11, 2019
Sadeep Jayasumana, Kanchana Ranasinghe, Mayuka Jayawardhana, Sahan Liyanaarachchi, Harsha Ranasinghe

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