Kumara Kahatapitiya

According to our database, Kumara Kahatapitiya authored at least 26 papers between 2018 and 2024.

Collaborative distances:

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

2024

MarDini: Masked Autoregressive Diffusion for Video Generation at Scale.

Haozhe Liu, Shikun Liu, Zijian Zhou, Mengmeng Xu, Yanping Xie, Xiao Han, Juan C. Pérez, Ding Liu, Kumara Kahatapitiya, Menglin Jia, Jui-Chieh Wu, Sen He, Tao Xiang, Jürgen Schmidhuber, Juan-Manuel Pérez-Rúa

CoRR, 2024

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 Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo

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

Language Repository for Long Video Understanding.

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

CoRR, 2024

Grafting Vision Transformers.

Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Object-Centric Diffusion for Efficient Video Editing.

Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, Amirhossein Habibian

Proceedings of the Computer Vision - ECCV 2024, 2024

VicTR: Video-conditioned Text Representations for Activity Recognition.

Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo

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

2023

StARformer: Transformer With State-Action-Reward Representations for Robot Learning.

Jinghuan Shang, Xiang Li, Kumara Kahatapitiya, Yu-Cheol Lee, Michael S. Ryoo

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

SWAT: Spatial Structure Within and Among Tokens.

Kumara Kahatapitiya, Michael S. Ryoo

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Token Turing Machines.

Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection.

Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo, Gang Hua

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Swift: Adaptive Video Streaming with Layered Neural Codecs.

Mallesham Dasari, Kumara Kahatapitiya, Samir R. Das, Aruna Balasubramanian, Dimitris Samaras

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning.

Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo

Proceedings of the Computer Vision - ECCV 2022, 2022

MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection.

Rui Dai, Srijan Das, Kumara Kahatapitiya, Michael S. Ryoo, François Brémond

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

2021

Self-supervised Pretraining with Classification Labels for Temporal Activity Detection.

Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo

CoRR, 2021

Exploiting the Redundancy in Convolutional Filters for Parameter Reduction.

Kumara Kahatapitiya, Ranga Rodrigo

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Coarse-Fine Networks for Temporal Activity Detection in Videos.

Kumara Kahatapitiya, Michael S. Ryoo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Foxtail+: A Learning with Errors-based Authentication Protocol for Resource-Constrained Devices.

Matthieu Monteiro, Kumara Kahatapitiya, Hassan Jameel Asghar, Kanchana Thilakarathna, Thierry Rakotoarivelo, Dali Kaafar, Shujun Li, Ron Steinfeld, Josef Pieprzyk

IACR Cryptol. ePrint Arch., 2020

On the Exact Outage Probability of 2×2 MIMO-MRC in Correlated Rician Fading.

Prathapasinghe Dharmawansa, Kumara Kahatapitiya, Saman Atapattu, Chintha Tellambura

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Feature-Dependent Cross-Connections in Multi-Path Neural Networks.

Dumindu Tissera, Kasun Vithanage, Rukshan Darshana Wijesinghe, Kumara Kahatapitiya, Subha Fernando, Ranga Rodrigo

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Context-Aware Multipath Networks.

Dumindu Tissera, Kumara Kahatapitiya, Rukshan Darshana Wijesinghe, Subha Fernando, Ranga Rodrigo

CoRR, 2019

LinearConv: Regenerating Redundancy in Convolution Filters as Linear Combinations for Parameter Reduction.

Kumara Kahatapitiya, Ranga Rodrigo

CoRR, 2019

Context-Aware Automatic Occlusion Removal.

Kumara Kahatapitiya, Dumindu Tissera, Ranga Rodrigo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Outage Analysis of 2×2 MIMO-MRC in Correlated Rician Fading.

Prathapasinghe Dharmawansa, Kumara Kahatapitiya, Saman Atapattu, Chintha Tellambura

CoRR, 2018

Low-power step counting paired with electromagnetic energy harvesting for wearables.

Kumara Kahatapitiya, Chamod Weerasinghe, Jinal Jayawardhana, Hiranya Kuruppu, Kanchana Thilakarathna, Dileeka Dias

Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018