Low-power step counting paired with electromagnetic energy harvesting for wearables. - Kumara Kahatapitiya; Chamod Weerasinghe; Jinal Jayawardhana; Hiranya Kuruppu; Kanchana Thilakarathna; Dileeka Dias (UbiComp, 2018)

Outage Analysis of 2×2 MIMO-MRC in Correlated Rician Fading. - Prathapasinghe Dharmawansa; Kumara Kahatapitiya; Saman Atapattu; Chintha Tellambura (CoRR, 2018)

Context-Aware Automatic Occlusion Removal. - Kumara Kahatapitiya; Dumindu Tissera; Ranga Rodrigo (ICIP, 2019)

LinearConv: Regenerating Redundancy in Convolution Filters as Linear Combinations for Parameter Reduction. - Kumara Kahatapitiya; Ranga Rodrigo (CoRR, 2019)

Context-Aware Multipath Networks. - Dumindu Tissera; Kumara Kahatapitiya; Rukshan Darshana Wijesinghe; Subha Fernando; Ranga Rodrigo (CoRR, 2019)

Feature-Dependent Cross-Connections in Multi-Path Neural Networks. - Dumindu Tissera; Kasun Vithanage; Rukshan Darshana Wijesinghe; Kumara Kahatapitiya; Subha Fernando; Ranga Rodrigo (ICPR, 2020)

On the Exact Outage Probability of 2×2 MIMO-MRC in Correlated Rician Fading. - Prathapasinghe Dharmawansa; Kumara Kahatapitiya; Saman Atapattu; Chintha Tellambura (WCNC, 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)

Coarse-Fine Networks for Temporal Activity Detection in Videos. - Kumara Kahatapitiya; Michael S. Ryoo (CVPR, 2021)

Exploiting the Redundancy in Convolutional Filters for Parameter Reduction. - Kumara Kahatapitiya; Ranga Rodrigo (WACV, 2021)

Self-supervised Pretraining with Classification Labels for Temporal Activity Detection. - Kumara Kahatapitiya; Zhou Ren; Haoxiang Li; Zhenyu Wu 002; Michael S. Ryoo (CoRR, 2021)

MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection. - Rui Dai 001; Srijan Das; Kumara Kahatapitiya; Michael S. Ryoo; François Brémond (CVPR, 2022)

StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning. - Jinghuan Shang; Kumara Kahatapitiya; Xiang Li 109; Michael S. Ryoo (ECCV (39), 2022)

Swift: Adaptive Video Streaming with Layered Neural Codecs. - Mallesham Dasari; Kumara Kahatapitiya; Samir R. Das; Aruna Balasubramanian; Dimitris Samaras (NSDI, 2022)

Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection. - Kumara Kahatapitiya; Zhou Ren; Haoxiang Li; Zhenyu Wu 002; Michael S. Ryoo; Gang Hua 001 (AAAI, 2023)

Token Turing Machines. - Michael S. Ryoo; Keerthana Gopalakrishnan; Kumara Kahatapitiya; Ted Xiao; Kanishka Rao; Austin Stone; Yao Lu 006; Julian Ibarz; Anurag Arnab (CVPR, 2023)

SWAT: Spatial Structure Within and Among Tokens. - Kumara Kahatapitiya; Michael S. Ryoo (IJCAI, 2023)

StARformer: Transformer With State-Action-Reward Representations for Robot Learning. - Jinghuan Shang; Xiang Li 109; Kumara Kahatapitiya; Yu-Cheol Lee; Michael S. Ryoo (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

VicTR: Video-conditioned Text Representations for Activity Recognition. - Kumara Kahatapitiya; Anurag Arnab; Arsha Nagrani; Michael S. Ryoo (CVPR, 2024)

Object-Centric Diffusion for Efficient Video Editing. - Kumara Kahatapitiya; Adil Karjauv; Davide Abati; Fatih Porikli; Yuki M. Asano; Amirhossein Habibian (ECCV (57), 2024)

Grafting Vision Transformers. - Jongwoo Park 003; Kumara Kahatapitiya; Donghyun Kim 006; Shivchander Sudalairaj; Quanfu Fan; Michael S. Ryoo (WACV, 2024)

Understanding Long Videos in One Multimodal Language Model Pass. - Kanchana Ranasinghe; Xiang Li 109; Kumara Kahatapitiya; Michael S. Ryoo (CoRR, 2024)

Too Many Frames, not all Useful: Efficient Strategies for Long-Form Video QA. - Jongwoo Park 003; Kanchana Ranasinghe; Kumara Kahatapitiya; Wonjeong Ryoo; Donghyun Kim 006; Michael S. Ryoo (CoRR, 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 001; et al. (CoRR, 2024)

Adaptive Caching for Faster Video Generation with Diffusion Transformers. - Kumara Kahatapitiya; Haozhe Liu; Sen He 001; Ding Liu; Menglin Jia; Chenyang Zhang; Michael S. Ryoo; Tian Xie 003 (CoRR, 2024)

Language Repository for Long Video Understanding. - Kumara Kahatapitiya; Kanchana Ranasinghe; Jongwoo Park 003; Michael S. Ryoo (ACL (Findings), 2025)

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. - Xiang Li 109; Cristina Mata; Jongwoo Park 003; Kumara Kahatapitiya; Yoo Sung Jang; Jinghuan Shang; Kanchana Ranasinghe; Ryan D. Burgert; Mu Cai; Yong Jae Lee; Michael S. Ryoo (ICLR, 2025)

Understanding Long Videos with Multimodal Language Models. - Kanchana Ranasinghe; Xiang Li 109; Kumara Kahatapitiya; Michael S. Ryoo (ICLR, 2025)

MarDini: Masked Auto-regressive Diffusion for Video Generation at Scale. - Haozhe Liu; Shikun Liu; Zijian Zhou; Mengmeng Xu; Yanping Xie; Xiao Han; Juan Camilo Pérez; Ding Liu; Kumara Kahatapitiya; Menglin Jia; Jui-Chieh Wu; Sen He 001; et al. (Trans. Mach. Learn. Res., 2025)