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Kumara Kahatapitiya
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2020 – today
- 2024
- [c13]Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo:
Grafting Vision Transformers. WACV 2024: 1134-1143 - [i18]Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, Amirhossein Habibian:
Object-Centric Diffusion for Efficient Video Editing. CoRR abs/2401.05735 (2024) - [i17]Kumara Kahatapitiya, Kanchana Ranasinghe, Jongwoo Park, Michael S. Ryoo:
Language Repository for Long Video Understanding. CoRR abs/2403.14622 (2024) - [i16]Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo:
Understanding Long Videos in One Multimodal Language Model Pass. CoRR abs/2403.16998 (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) - 2023
- [j1]Jinghuan Shang
, Xiang Li
, Kumara Kahatapitiya
, Yu-Cheol Lee
, Michael S. Ryoo
:
StARformer: Transformer With State-Action-Reward Representations for Robot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12862-12877 (2023) - [c12]Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo, Gang Hua:
Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection. AAAI 2023: 1078-1086 - [c11]Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab:
Token Turing Machines. CVPR 2023: 19070-19081 - [c10]Kumara Kahatapitiya, Michael S. Ryoo:
SWAT: Spatial Structure Within and Among Tokens. IJCAI 2023: 956-964 - [i13]Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo:
VicTR: Video-conditioned Text Representations for Activity Recognition. CoRR abs/2304.02560 (2023) - 2022
- [c9]Rui Dai, Srijan Das, Kumara Kahatapitiya, Michael S. Ryoo, François Brémond:
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection. CVPR 2022: 20009-20019 - [c8]Jinghuan Shang
, Kumara Kahatapitiya
, Xiang Li
, Michael S. Ryoo
:
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning. ECCV (39) 2022: 462-479 - [c7]Mallesham Dasari, Kumara Kahatapitiya, Samir R. Das, Aruna Balasubramanian, Dimitris Samaras:
Swift: Adaptive Video Streaming with Layered Neural Codecs. NSDI 2022: 103-118 - [i12]Jongwoo Park
, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo:
Grafting Vision Transformers. CoRR abs/2210.15943 (2022) - [i11]Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab:
Token Turing Machines. CoRR abs/2211.09119 (2022) - 2021
- [c6]Kumara Kahatapitiya, Michael S. Ryoo:
Coarse-Fine Networks for Temporal Activity Detection in Videos. CVPR 2021: 8385-8394 - [c5]Kumara Kahatapitiya, Ranga Rodrigo:
Exploiting the Redundancy in Convolutional Filters for Parameter Reduction. WACV 2021: 1409-1419 - [i10]Kumara Kahatapitiya, Michael S. Ryoo:
Coarse-Fine Networks for Temporal Activity Detection in Videos. CoRR abs/2103.01302 (2021) - [i9]Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo:
Self-supervised Pretraining with Classification Labels for Temporal Activity Detection. CoRR abs/2111.13675 (2021) - [i8]Kumara Kahatapitiya, Michael S. Ryoo:
SWAT: Spatial Structure Within and Among Tokens. CoRR abs/2111.13677 (2021) - [i7]Rui Dai, Srijan Das, Kumara Kahatapitiya, Michael S. Ryoo, François Brémond:
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection. CoRR abs/2112.03902 (2021) - 2020
- [c4]Dumindu Tissera
, Kasun Vithanage, Rukshan Darshana Wijesinghe, Kumara Kahatapitiya, Subha Fernando
, Ranga Rodrigo:
Feature-Dependent Cross-Connections in Multi-Path Neural Networks. ICPR 2020: 4032-4039 - [c3]Prathapasinghe Dharmawansa, Kumara Kahatapitiya, Saman Atapattu, Chintha Tellambura:
On the Exact Outage Probability of 2×2 MIMO-MRC in Correlated Rician Fading. WCNC 2020: 1-6 - [i6]Dumindu Tissera, Kasun Vithanage, Rukshan Darshana Wijesinghe, Kumara Kahatapitiya, Subha Fernando, Ranga Rodrigo:
Feature-dependent Cross-Connections in Multi-Path Neural Networks. CoRR abs/2006.13904 (2020) - [i5]Matthieu Monteiro, Kumara Kahatapitiya, Hassan Jameel Asghar, Kanchana Thilakarathna, Thierry Rakotoarivelo, Dali Kaafar, Shujun Li, Ron Steinfeld, Josef Pieprzyk:
Foxtail+: A Learning with Errors-based Authentication Protocol for Resource-Constrained Devices. IACR Cryptol. ePrint Arch. 2020: 261 (2020)
2010 – 2019
- 2019
- [c2]Kumara Kahatapitiya, Dumindu Tissera
, Ranga Rodrigo:
Context-Aware Automatic Occlusion Removal. ICIP 2019: 1895-1899 - [i4]Kumara Kahatapitiya, Dumindu Tissera, Ranga Rodrigo:
Context-Aware Automatic Occlusion Removal. CoRR abs/1905.02710 (2019) - [i3]Kumara Kahatapitiya, Ranga Rodrigo:
LinearConv: Regenerating Redundancy in Convolution Filters as Linear Combinations for Parameter Reduction. CoRR abs/1907.11432 (2019) - [i2]Dumindu Tissera, Kumara Kahatapitiya, Rukshan Darshana Wijesinghe, Subha Fernando, Ranga Rodrigo:
Context-Aware Multipath Networks. CoRR abs/1907.11519 (2019) - 2018
- [c1]Kumara Kahatapitiya, Chamod Weerasinghe, Jinal Jayawardhana, Hiranya Kuruppu, Kanchana Thilakarathna
, Dileeka Dias:
Low-power step counting paired with electromagnetic energy harvesting for wearables. UbiComp 2018: 218-219 - [i1]Prathapasinghe Dharmawansa, Kumara Kahatapitiya, Saman Atapattu, Chintha Tellambura:
Outage Analysis of 2×2 MIMO-MRC in Correlated Rician Fading. CoRR abs/1811.06712 (2018)
Coauthor Index
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last updated on 2024-08-20 22:51 CEST by the dblp team
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