Michael S. Ryoo

231 papers A* 51A 16B 5Misc 4Journal 118Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing Multi-Robot Networks via MLLM-Driven Sensing, Communication, and Computation: A Comprehensive Survey. IEEE Commun. Surv. Tutorials Hyun Jong Yang, Howon Lee, Kyuhong Shim, Jeongho Kwak, Hyunsoo Kim, Donghoon Kim, Khoa Anh Ngo, Sehyun Ryu, Jaehyun Choi, Youbin Kim, Chanjun Moon, Michael S. Ryoo, Byonghyo Shim
2026	J	`jnl`	Future Optical Flow Prediction Improves Robot Control & Video Generation. CoRR Kanchana Ranasinghe, Honglu Zhou, Yu Fang, Luyu Yang, Le Xue, Ran Xu, Caiming Xiong, Silvio Savarese, Michael S. Ryoo, Juan Carlos Niebles
2026	J	`jnl`	IVRA: Improving Visual-Token Relations for Robot Action Policy with Training-Free Hint-Based Guidance. CoRR Jongwoo Park, Kanchana Ranasinghe, Jinhyeok Jang, Cristina Mata, Yoo Sung Jang, Michael S. Ryoo
2026	J	`jnl`	SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation. Trans. Mach. Learn. Res. Shrikant Kendre, Austin Xu, Honglu Zhou, Michael S. Ryoo, Shafiq Joty, Juan Carlos Niebles
2026	—	`conf`	Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA. EACL (Volume 1: Long Papers) Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, Wonjeong Ryu, Donghyun Kim, Michael S. Ryoo
2025	J	`jnl`	Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding. CoRR Ziyang Wang, Honglu Zhou, Shijie Wang, Junnan Li, Caiming Xiong, Silvio Savarese, Mohit Bansal, Michael S. Ryoo, Juan Carlos Niebles
2025	—	`conf`	BLIP-3: A Family of Open Large Multimodal Models. ICCVW Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2025	J	`jnl`	CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddings. CoRR Cristina Mata, Kanchana Ranasinghe, Michael S. Ryoo
2025	A*	`conf`	Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise. CVPR Ryan D. Burgert, Yuancheng Xu, Wenqi Xian, Oliver Pilarski, Pascal Clausen, Mingming He, Li Ma, Yitong Deng, Lingxiao Li, Mohsen Mousavi, Michael S. Ryoo, Paul E. Debevec, Ning Yu
2025	J	`jnl`	Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise. CoRR Ryan D. Burgert, Yuancheng Xu, Wenqi Xian, Oliver Pilarski, Pascal Clausen, Mingming He, Li Ma, Yitong Deng, Lingxiao Li, Mohsen Mousavi, Michael S. Ryoo, Paul E. Debevec, Ning Yu
2025	J	`jnl`	Image Translation with Kernel Prediction Networks for Semantic Segmentation. CoRR Cristina Mata, Michael S. Ryoo, Henrik Turbell
2025	—	`conf`	LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. ACL (Findings) Thai Quoc Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S. Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2025	J	`jnl`	LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. CoRR Thai Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S. Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2025	A*	`conf`	LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. ICLR Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan D. Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo
2025	—	`conf`	Language Repository for Long Video Understanding. ACL (Findings) Kumara Kahatapitiya, Kanchana Ranasinghe, Jongwoo Park, Michael S. Ryoo
2025	J	`jnl`	MotionV2V: Editing Motion in a Video. CoRR Ryan D. Burgert, Charles Herrmann, Forrester Cole, Michael S. Ryoo, Neal Wadhwa, Andrey Voynov, Nataniel Ruiz
2025	J	`jnl`	Pixel Motion Diffusion is What We Need for Robot Control. CoRR E-Ro Nguyen, Yichi Zhang, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo
2025	J	`jnl`	Pixel Motion as Universal Representation for Robot Control. CoRR Kanchana Ranasinghe, Xiang Li, Cristina Mata, Jongwoo Park, Michael S. Ryoo
2025	J	`jnl`	Robotic VLA Benefits from Joint Learning with Motion Image Diffusion. CoRR Yu Fang, Kanchana Ranasinghe, Le Xue, Honglu Zhou, Juntao Tan, Ran Xu, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Daniel Szafir, Mingyu Ding, Michael S. Ryoo, Juan Carlos Niebles
2025	J	`jnl`	SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation. CoRR Shrikant Kendre, Austin Xu, Honglu Zhou, Michael S. Ryoo, Shafiq Joty, Juan Carlos Niebles
2025	—	`conf`	Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data. ICCVW Honglu Zhou, Xiangyu Peng, Shrikant Kendre, Michael S. Ryoo, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2025	J	`jnl`	Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data. CoRR Honglu Zhou, Xiangyu Peng, Shrikant Kendre, Michael S. Ryoo, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2025	A*	`conf`	Understanding Long Videos with Multimodal Language Models. ICLR Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo
2025	J	`jnl`	VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making. CoRR Jake Grigsby, Yuke Zhu, Michael S. Ryoo, Juan Carlos Niebles
2024	J	`jnl`	Adaptive Caching for Faster Video Generation with Diffusion Transformers. CoRR Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Chenyang Zhang, Michael S. Ryoo, Tian Xie
2024	—	`conf`	CoPT: Unsupervised Domain Adaptive Segmentation Using Domain-Agnostic Text Embeddings. ECCV (62) Cristina Mata, Kanchana Ranasinghe, Michael S. Ryoo
2024	A*	`conf`	Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. ICRA Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo
2024	—	`conf`	Diffusion Illusions: Hiding Images in Plain Sight. SIGGRAPH (Conference Paper Track) Ryan D. Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo
2024	A	`conf`	Grafting Vision Transformers. WACV Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo
2024	—	`conf`	Image Translation with Kernel Prediction Networks for Semantic Segmentation. ECCV Workshops (18) Cristina Mata, Michael S. Ryoo, Henrik Turbell
2024	J	`jnl`	Instance-Aware Generalized Referring Expression Segmentation. CoRR E-Ro Nguyen, Hieu Le, Dimitris Samaras, Michael S. Ryoo
2024	J	`jnl`	LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. CoRR Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan D. Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo
2024	J	`jnl`	Language Repository for Long Video Understanding. CoRR Kumara Kahatapitiya, Kanchana Ranasinghe, Jongwoo Park, Michael S. Ryoo
2024	J	`jnl`	LatentCRF: Continuous CRF for Efficient Latent Diffusion. CoRR Kanchana Ranasinghe, Sadeep Jayasumana, Andreas Veit, Ayan Chakrabarti, Daniel Glasner, Michael S. Ryoo, Srikumar Ramalingam, Sanjiv Kumar
2024	A*	`conf`	Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. CVPR Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin
2024	J	`jnl`	Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. CoRR Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin
2024	A	`conf`	Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders. WACV Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, Soumyajit Karmakar, Shyam Marjit, Xiang Li, Abhijit Das, Michael S. Ryoo
2024	A*	`conf`	MAGICK: A Large-Scale Captioned Dataset from Matting Generated Images Using Chroma Keying. CVPR Ryan D. Burgert, Brian L. Price, Jason Kuen, Yijun Li, Michael S. Ryoo
2024	A*	`conf`	Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities. CVPR A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova
2024	A*	`conf`	SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. ICRA Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao
2024	J	`jnl`	Too Many Frames, not all Useful: Efficient Strategies for Long-Form Video QA. CoRR Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, Wonjeong Ryoo, Donghyun Kim, Michael S. Ryoo
2024	J	`jnl`	Understanding Long Videos in One Multimodal Language Model Pass. CoRR Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo
2024	A*	`conf`	VicTR: Video-conditioned Text Representations for Activity Recognition. CVPR Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo
2024	J	`jnl`	Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning. CoRR A. J. Piergiovanni, Dahun Kim, Michael S. Ryoo, Isaac Noble, Anelia Angelova
2024	J	`jnl`	xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2024	J	`jnl`	xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs. CoRR Michael S. Ryoo, Honglu Zhou, Shrikant Kendre, Can Qin, Le Xue, Manli Shu, Silvio Savarese, Ran Xu, Caiming Xiong, Juan Carlos Niebles
2024	—	`conf`	xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. ECCV Workshops (5) Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2024	J	`jnl`	xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2023	J	`jnl`	AAN: Attributes-Aware Network for Temporal Action Detection. CoRR Rui Dai, Srijan Das, Michael S. Ryoo, François Brémond
2023	J	`jnl`	Active Reinforcement Learning under Limited Visual Observability. CoRR Jinghuan Shang, Michael S. Ryoo
2023	A*	`conf`	Active Vision Reinforcement Learning under Limited Visual Observability. NeurIPS Jinghuan Shang, Michael S. Ryoo
2023	A	`conf`	Attributes-Aware Network for Temporal Action Detection. BMVC Rui Dai, Srijan Das, Michael S. Ryoo, François Brémond
2023	Misc	`conf`	Cross-modal Manifold Cutmix for Self-supervised Video Representation Learning. MVA Srijan Das, Michael S. Ryoo
2023	J	`jnl`	Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. CoRR Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo
2023	J	`jnl`	Diffusion Illusions: Hiding Images in Plain Sight. CoRR Ryan D. Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo
2023	A*	`conf`	Energy-Based Models for Cross-Modal Localization using Convolutional Transformers. ICRA Alan Wu, Michael S. Ryoo
2023	J	`jnl`	Energy-Based Models for Cross-Modal Localization using Convolutional Transformers. CoRR Alan Wu, Michael S. Ryoo
2023	A*	`conf`	Language-based Action Concept Spaces Improve Video Self-Supervised Learning. NeurIPS Kanchana Ranasinghe, Michael S. Ryoo
2023	J	`jnl`	Language-based Action Concept Spaces Improve Video Self-Supervised Learning. CoRR Kanchana Ranasinghe, Michael S. Ryoo
2023	J	`jnl`	Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders. CoRR Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, Soumyajit Karmakar, Shyam Marjit, Xiang Li, Abhijit Das, Michael S. Ryoo
2023	J	`jnl`	Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities. CoRR A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova
2023	A*	`conf`	Open-vocabulary Queryable Scene Representations for Real World Planning. ICRA Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler
2023	—	`conf`	RT-1: Robotics Transformer for Real-World Control at Scale. Robotics: Science and Systems Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag R. Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong T. Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
2023	Misc	`conf`	RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRL Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han
2023	J	`jnl`	RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRR Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong T. Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
2023	—	`conf`	Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge. EDGE Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
2023	J	`jnl`	SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. CoRR Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao
2023	A*	`conf`	SWAT: Spatial Structure Within and Among Tokens. IJCAI Kumara Kahatapitiya, Michael S. Ryoo
2023	A*	`conf`	Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. ICLR Andy Zeng, Maria Attarian, Brian Ichter, Krzysztof Marcin Choromanski, Adrian Wong, Stefan Welker, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence
2023	J	`jnl`	StARformer: Transformer With State-Action-Reward Representations for Robot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jinghuan Shang, Xiang Li, Kumara Kahatapitiya, Yu-Cheol Lee, Michael S. Ryoo
2023	A*	`conf`	Token Turing Machines. CVPR Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab
2023	J	`jnl`	VicTR: Video-conditioned Text Representations for Activity Recognition. CoRR Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo
2023	A	`conf`	ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints. WACV Srijan Das, Michael S. Ryoo
2023	A*	`conf`	Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection. AAAI Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo, Gang Hua
2022	A*	`conf`	Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? NeurIPS Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo
2022	J	`jnl`	Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? CoRR Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo
2022	J	`jnl`	Grafting Vision Transformers. CoRR Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo
2022	A*	`conf`	Hybrid Random Features. ICLR Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S. Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller
2022	A*	`conf`	Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. NeurIPS Jinghuan Shang, Srijan Das, Michael S. Ryoo
2022	J	`jnl`	Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. CoRR Jinghuan Shang, Srijan Das, Michael S. Ryoo
2022	A*	`conf`	MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection. CVPR Rui Dai, Srijan Das, Kumara Kahatapitiya, Michael S. Ryoo, François Brémond
2022	J	`jnl`	Neural Neural Textures Make Sim2Real Consistent. CoRR Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo
2022	J	`jnl`	Open-vocabulary Queryable Scene Representations for Real World Planning. CoRR Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler
2022	J	`jnl`	Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors. CoRR Ryan D. Burgert, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo
2022	J	`jnl`	RT-1: Robotics Transformer for Real-World Control at Scale. CoRR Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong T. Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
2022	A*	`conf`	Self-supervised Video Transformer. CVPR Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael S. Ryoo
2022	J	`jnl`	Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. CoRR Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence
2022	—	`conf`	StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning. ECCV (39) Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo
2022	Misc	`conf`	TRITON: Neural Neural Textures for Better Sim2Real. CoRL Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo
2022	J	`jnl`	Token Turing Machines. CoRR Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab
2022	J	`jnl`	Video + CLIP Baseline for Ego4D Long-term Action Anticipation. CoRR Srijan Das, Michael S. Ryoo
2022	J	`jnl`	Video Question Answering with Iterative Video-Text Co-Tokenization. CoRR A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova
2022	—	`conf`	Video Question Answering with Iterative Video-Text Co-tokenization. ECCV (36) A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova
2021	A*	`conf`	4D-Net for Learned Multi-Modal Alignment. ICCV A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova
2021	J	`jnl`	4D-Net for Learned Multi-Modal Alignment. CoRR A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova
2021	—	`conf`	Adaptive Intermediate Representations for Video Understanding. CVPR Workshops Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova
2021	J	`jnl`	Adaptive Intermediate Representations for Video Understanding. CoRR Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova
2021	A*	`conf`	Coarse-Fine Networks for Temporal Activity Detection in Videos. CVPR Kumara Kahatapitiya, Michael S. Ryoo
2021	J	`jnl`	Coarse-Fine Networks for Temporal Activity Detection in Videos. CoRR Kumara Kahatapitiya, Michael S. Ryoo
2021	J	`jnl`	Hybrid Random Features. CoRR Krzysztof Choromanski, Haoxian Chen, Han Lin, Yuanzhe Ma, Arijit Sehanobish, Deepali Jain, Michael S. Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller
2021	J	`jnl`	MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection. CoRR Rui Dai, Srijan Das, Kumara Kahatapitiya, Michael S. Ryoo, François Brémond
2021	A*	`conf`	Recognizing Actions in Videos From Unseen Viewpoints. CVPR A. J. Piergiovanni, Michael S. Ryoo
2021	J	`jnl`	Recognizing Actions in Videos from Unseen Viewpoints. CoRR A. J. Piergiovanni, Michael S. Ryoo
2021	J	`jnl`	STC-mix: Space, Time, Channel mixing for Self-supervised Video Representation. CoRR Srijan Das, Michael S. Ryoo
2021	J	`jnl`	SWAT: Spatial Structure Within and Among Tokens. CoRR Kumara Kahatapitiya, Michael S. Ryoo
2021	A	`conf`	Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. IROS Jinghuan Shang, Michael S. Ryoo
2021	J	`jnl`	Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. CoRR Jinghuan Shang, Michael S. Ryoo
2021	J	`jnl`	Self-supervised Pretraining with Classification Labels for Temporal Activity Detection. CoRR Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo
2021	J	`jnl`	Self-supervised Video Transformer. CoRR Kanchana Ranasinghe, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Michael S. Ryoo
2021	J	`jnl`	StARformer: Transformer with State-Action-Reward Representations. CoRR Jinghuan Shang, Michael S. Ryoo
2021	A*	`conf`	TokenLearner: Adaptive Space-Time Tokenization for Videos. NeurIPS Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
2021	J	`jnl`	TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? CoRR Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
2021	J	`jnl`	Unsupervised Action Segmentation for Instructional Videos. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan A. Essa
2021	A	`conf`	Unsupervised Discovery of Actions in Instructional Videos. BMVC A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan Essa
2021	J	`jnl`	Unsupervised Discovery of Actions in Instructional Videos. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan A. Essa
2021	J	`jnl`	ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints. CoRR Srijan Das, Michael S. Ryoo
2021	A*	`conf`	Visionary: Vision architecture discovery for robot learning. ICRA Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo
2021	J	`jnl`	Visionary: Vision architecture discovery for robot learning. CoRR Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo
2020	A*	`conf`	AViD Dataset: Anonymized Videos from Diverse Countries. NeurIPS A. J. Piergiovanni, Michael S. Ryoo
2020	J	`jnl`	AViD Dataset: Anonymized Videos from Diverse Countries. CoRR A. J. Piergiovanni, Michael S. Ryoo
2020	—	`conf`	Adversarial Generative Grammars for Human Activity Prediction. ECCV (2) A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2020	J	`jnl`	Adversarial Generative Grammars for Human Activity Prediction. CoRR A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2020	—	`conf`	AssembleNet++: Assembling Modality Representations via Attention Connections. ECCV (20) Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova
2020	J	`jnl`	AssembleNet++: Assembling Modality Representations via Attention Connections. CoRR Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova
2020	A*	`conf`	AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. ICLR Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova
2020	—	`conf`	AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. ECCV (8) Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
2020	J	`jnl`	AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. CoRR Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua
2020	J	`jnl`	Correction to: Model-Based Robot Imitation with Future Image Similarity. Int. J. Comput. Vis. Alan Wu, A. J. Piergiovanni, Michael S. Ryoo
2020	A*	`conf`	Differentiable Grammars for Videos. AAAI A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2020	J	`jnl`	Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution. CoRR Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Younmin Bae, Hyojong Kim, Michael S. Ryoo, Hyesoon Kim
2020	A*	`conf`	Evolving Losses for Unsupervised Video Representation Learning. CVPR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2020	J	`jnl`	Evolving Losses for Unsupervised Video Representation Learning. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2020	A	`conf`	Learning Multimodal Representations for Unseen Activities. WACV A. J. Piergiovanni, Michael S. Ryoo
2020	J	`jnl`	Model-Based Robot Imitation with Future Image Similarity. Int. J. Comput. Vis. Alan Wu, A. J. Piergiovanni, Michael S. Ryoo
2020	—	`conf`	Password-Conditioned Anonymization and Deanonymization with Face Identity Transformers. ECCV (23) Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee
2020	J	`jnl`	Reducing Inference Latency with Concurrent Architectures for Image Recognition. CoRR Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
2020	J	`jnl`	Toward Collaborative Inferencing of Deep Neural Networks on Internet-of-Things Devices. IEEE Internet Things J. Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
2019	J	`jnl`	AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. CoRR Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova
2019	J	`jnl`	Collaborative Execution of Deep Neural Networks on Internet of Things Devices. CoRR Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
2019	—	`conf`	Early Detection of Injuries in MLB Pitchers From Video. CVPR Workshops A. J. Piergiovanni, Michael S. Ryoo
2019	J	`jnl`	Early Detection of Injuries in MLB Pitchers from Video. CoRR A. J. Piergiovanni, Michael S. Ryoo
2019	J	`jnl`	Evolving Losses for Unlabeled Video Representation Learning. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2019	A*	`conf`	Evolving Space-Time Neural Architectures for Videos. ICCV A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2019	J	`jnl`	Learning Differentiable Grammars for Continuous Data. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2019	A	`conf`	Learning Real-World Robot Policies by Dreaming. IROS A. J. Piergiovanni, Alan Wu, Michael S. Ryoo
2019	Misc	`conf`	Model-based Behavioral Cloning with Future Image Similarity Learning. CoRL Alan Wu, A. J. Piergiovanni, Michael S. Ryoo
2019	J	`jnl`	Model-based Behavioral Cloning with Future Image Similarity Learning. CoRR Alan Wu, A. J. Piergiovanni, Michael S. Ryoo
2019	J	`jnl`	Password-conditioned Anonymization and Deanonymization with Face Identity Transformers. CoRR Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee
2019	A	`conf`	Privacy-Preserving Robot Vision with Anonymized Faces by Extreme Low Resolution. IROS Myeung Un Kim, Harim Lee, Hyun Jong Yang, Michael S. Ryoo
2019	A*	`conf`	Representation Flow for Action Recognition. CVPR A. J. Piergiovanni, Michael S. Ryoo
2019	A*	`conf`	Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing. DAC Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
2019	A*	`conf`	Temporal Gaussian Mixture Layer for Videos. ICML A. J. Piergiovanni, Michael S. Ryoo
2019	J	`jnl`	Tiny Video Networks. CoRR A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2018	—	`conf`	Action-Conditioned Convolutional Future Regression Models for Robot Imitation Learning. CVPR Workshops Alan Wu, A. J. Piergiovanni, Michael S. Ryoo
2018	J	`jnl`	Activity Detection with Latent Sub-event Hierarchy Learning. CoRR A. J. Piergiovanni, Michael S. Ryoo
2018	J	`jnl`	Distributed Perception by Collaborative Robots. IEEE Robotics Autom. Lett. Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
2018	J	`jnl`	Evolving Space-Time Neural Architectures for Videos. CoRR A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
2018	A*	`conf`	Extreme Low Resolution Activity Recognition With Multi-Siamese Embedding Learning. AAAI Michael S. Ryoo, Kiyoon Kim, Hyun Jong Yang
2018	—	`conf`	Fine-Grained Activity Recognition in Baseball Videos. CVPR Workshops A. J. Piergiovanni, Michael S. Ryoo
2018	J	`jnl`	Fine-grained Activity Recognition in Baseball Videos. CoRR A. J. Piergiovanni, Michael S. Ryoo
2018	—	`conf`	Forecasting Hands and Objects in Future Frames. ECCV Workshops (3) Chenyou Fan, Jangwon Lee, Michael S. Ryoo
2018	—	`conf`	Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos. ECCV (1) Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall
2018	J	`jnl`	Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos. CoRR Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall
2018	A*	`conf`	Learning Latent Super-Events to Detect Multiple Activities in Videos. CVPR A. J. Piergiovanni, Michael S. Ryoo
2018	J	`jnl`	Learning Real-World Robot Policies by Dreaming. CoRR A. J. Piergiovanni, Alan Wu, Michael S. Ryoo
2018	J	`jnl`	Learning Shared Multimodal Embeddings with Unpaired Data. CoRR A. J. Piergiovanni, Michael S. Ryoo
2018	—	`conf`	Learning to Anonymize Faces for Privacy Preserving Action Detection. ECCV (1) Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo
2018	J	`jnl`	Learning to Anonymize Faces for Privacy Preserving Action Detection. CoRR Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo
2018	J	`jnl`	Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices. CoRR Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
2018	—	`conf`	Real-Time Image Recognition Using Collaborative IoT Devices. ReQuEST@ASPLOS Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
2018	J	`jnl`	Representation Flow for Action Recognition. CoRR A. J. Piergiovanni, Michael S. Ryoo
2017	—	`conf`	A holistic approach to interpreting human states in smart environments providing high quality of life. EST Adrian Stoica, Yumi Iwashita, Christopher Assad, Michael S. Ryoo, Gareth Howells
2017	J	`jnl`	Extreme Low Resolution Activity Recognition with Multi-Siamese Embedding Learning. CoRR Michael S. Ryoo, Kiyoon Kim, Hyun Jong Yang
2017	J	`jnl`	Forecasting Hand and Object Locations in Future Frames. CoRR Chenyou Fan, Jangwon Lee, Michael S. Ryoo
2017	A*	`conf`	Identifying First-Person Camera Wearers in Third-Person Videos. CVPR Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo
2017	J	`jnl`	Identifying First-person Camera Wearers in Third-person Videos. CoRR Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo
2017	J	`jnl`	Learning Latent Super-Events to Detect Multiple Activities in Videos. CoRR A. J. Piergiovanni, Michael S. Ryoo
2017	—	`conf`	Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression. CVPR Workshops Jangwon Lee, Michael S. Ryoo
2017	J	`jnl`	Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression. CoRR Jangwon Lee, Michael S. Ryoo
2017	J	`jnl`	Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions. CoRR Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu
2017	A	`conf`	Learning robot activities from first-person human videos using convolutional future regression. IROS Jangwon Lee, Michael S. Ryoo
2017	A*	`conf`	Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions. ICRA Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu
2017	A*	`conf`	Multi-Type Activity Recognition from a Robot's Viewpoint. IJCAI Ilaria Gori, J. K. Aggarwal, Larry H. Matthies, Michael S. Ryoo
2017	A*	`conf`	Privacy-Preserving Human Activity Recognition from Extreme Low Resolution. AAAI Michael S. Ryoo, Brandon Rothrock, Charles Fleming, Hyun Jong Yang
2017	A*	`conf`	Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters. AAAI A. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo
2016	J	`jnl`	First-Person Activity Recognition: Feature, Temporal Structure, and Prediction. Int. J. Comput. Vis. Michael S. Ryoo, Larry H. Matthies
2016	A*	`conf`	Learning Social Affordance for Human-Robot Interaction. IJCAI Tianmin Shu, Michael S. Ryoo, Song-Chun Zhu
2016	J	`jnl`	Learning Social Affordance for Human-Robot Interaction. CoRR Tianmin Shu, Michael S. Ryoo, Song-Chun Zhu
2016	J	`jnl`	Multitype Activity Recognition in Robot-Centric Scenarios. IEEE Robotics Autom. Lett. Ilaria Gori, J. K. Aggarwal, Larry H. Matthies, Michael S. Ryoo
2016	J	`jnl`	Privacy-Preserving Egocentric Activity Recognition from Extreme Low Resolution. CoRR Michael S. Ryoo, Brandon Rothrock, Charles Fleming
2016	J	`jnl`	Temporal attention filters for human activity recognition in videos. CoRR A. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo
2015	J	`jnl`	Building Unified Human Descriptors For Multi-Type Activity Recognition. CoRR Ilaria Gori, J. K. Aggarwal, Michael S. Ryoo
2015	A*	`conf`	Pooled motion features for first-person videos. CVPR Michael S. Ryoo, Brandon Rothrock, Larry H. Matthies
2015	A*	`conf`	Robot-Centric Activity Prediction from First-Person Videos: What Will They Do to Me'. HRI Michael S. Ryoo, Thomas J. Fuchs, Lu Xia, Jake K. Aggarwal, Larry H. Matthies
2015	A	`conf`	Robot-centric Activity Recognition from First-Person RGB-D Videos. WACV Lu Xia, Ilaria Gori, Jake K. Aggarwal, Michael S. Ryoo
2014	—	`conf`	An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision. CVPR Workshops Steve Mann, Kris M. Kitani, Yong Jae Lee, Michael S. Ryoo, Alireza Fathi
2014	J	`jnl`	Early Recognition of Human Activities from First-Person Videos Using Onset Representations. CoRR Michael S. Ryoo, Thomas J. Fuchs, Lu Xia, J. K. Aggarwal, Larry H. Matthies
2014	B	`conf`	First-Person Animal Activity Recognition from Egocentric Videos. ICPR Yumi Iwashita, Asamichi Takamine, Ryo Kurazume, Michael S. Ryoo
2014	J	`jnl`	Pooled Motion Features for First-Person Videos. CoRR Michael S. Ryoo, Brandon Rothrock, Larry H. Matthies
2013	A*	`conf`	First-Person Activity Recognition: What Are They Doing to Me? CVPR Michael S. Ryoo, Larry H. Matthies
2013	J	`jnl`	Personal driving diary: Automated recognition of driving events from first-person videos. Comput. Vis. Image Underst. Michael S. Ryoo, Sunglok Choi, Ji Hoon Joung, Jae-Yeong Lee, Wonpil Yu
2013	A	`conf`	Recognizing Humans in Motion: Trajectory-based Aerial Video Analysis. BMVC Yumi Iwashita, Michael S. Ryoo, Thomas J. Fuchs, Curtis Padgett
2012	A	`conf`	Reliable object detection and segmentation using inpainting. IROS Ji Hoon Joung, Michael S. Ryoo, Sunglok Choi, Sung-Rak Kim
2012	J	`jnl`	Toward a unified framework of motion understanding. Image Vis. Comput. J. K. Aggarwal, Michael S. Ryoo
2011	—	`conf`	Background-aware pedestrian/vehicle detection system for driving environments. ITSC Ji Hoon Joung, Michael S. Ryoo, Sunglok Choi, Wonpil Yu, Heesung Chae
2011	—	`conf`	Compensating for visually missing features: Scale adaptive recognition of objects using probabilistic voting. URAI Michael S. Ryoo, Ji Hoon Joung, Wonpil Yu
2011	J	`jnl`	Human activity analysis: A review. ACM Comput. Surv. J. K. Aggarwal, Michael S. Ryoo
2011	A*	`conf`	Human activity prediction: Early recognition of ongoing activities from streaming videos. ICCV Michael S. Ryoo
2011	—	`conf`	Interactive learning of human activities using active video composition. ICCV Workshops Michael S. Ryoo
2011	A	`conf`	One video is sufficient? Human activity recognition using active video composition. WACV Michael S. Ryoo, Wonpil Yu
2011	A	`conf`	Personal driving diary: Constructing a video archive of everyday driving events. WACV Michael S. Ryoo, Jae-Yeong Lee, Ji Hoon Joung, Sunglok Choi, Wonpil Yu
2011	J	`jnl`	Stochastic Representation and Recognition of High-Level Group Activities. Int. J. Comput. Vis. Michael S. Ryoo, J. K. Aggarwal
2010	J	`jnl`	A task-driven intelligent workspace system to provide guidance feedback. Comput. Vis. Image Underst. Michael S. Ryoo, Kristen Grauman, Jake K. Aggarwal
2010	—	`conf`	An Overview of Contest on Semantic Description of Human Activities (SDHA) 2010. ICPR Contests Michael S. Ryoo, Chia-Chih Chen, J. K. Aggarwal, Amit K. Roy-Chowdhury
2010	—	`conf`	Video scene analysis of interactions between humans and vehicles using event context. CIVR Michael S. Ryoo, Jong Taek Lee, Jake K. Aggarwal
2009	J	`jnl`	Detection of object abandonment using temporal logic. Mach. Vis. Appl. Medha Bhargava, Chia-Chih Chen, Michael S. Ryoo, Jake K. Aggarwal
2009	J	`jnl`	Real-Time Illegal Parking Detection in Outdoor Environments Using 1-D Transformation. IEEE Trans. Circuits Syst. Video Technol. Jong Taek Lee, Michael S. Ryoo, Matthew Riley, J. K. Aggarwal
2009	J	`jnl`	Semantic Representation and Recognition of Continued and Recursive Human Activities. Int. J. Comput. Vis. Michael S. Ryoo, Jake K. Aggarwal
2009	A*	`conf`	Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities. ICCV Michael S. Ryoo, Jake K. Aggarwal
2009	—	`conf`	Stochastic representation and recognition of high-level group activities: Describing structural uncertainties in human activities. CVPR Workshops Michael S. Ryoo, Jake K. Aggarwal
2008	B	`conf`	Human activities: Handling uncertainties using fuzzy time intervals. ICPR Michael S. Ryoo, Jake K. Aggarwal
2008	A*	`conf`	Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects. CVPR Michael S. Ryoo, Jake K. Aggarwal
2007	B	`conf`	Detection of abandoned objects in crowded environments. AVSS Medha Bhargava, Chia-Chih Chen, Michael S. Ryoo, Jake K. Aggarwal
2007	A*	`conf`	Hierarchical Recognition of Human Activities Interacting with Objects. CVPR Michael S. Ryoo, J. K. Aggarwal
2007	B	`conf`	Real-time detection of illegally parked vehicles using 1-D transformation. AVSS Jong Taek Lee, Michael S. Ryoo, Matthew Riley, Jake K. Aggarwal
2007	A*	`conf`	Robust Human-Computer Interaction System Guiding a User by Providing Feedback. IJCAI Michael S. Ryoo, Jake K. Aggarwal
2006	—	`conf`	Recognition of Composite Human Activities through Context-Free Grammar Based Representation. CVPR (2) Michael S. Ryoo, J. K. Aggarwal
2006	—	`conf`	Semantic Understanding of Continued and Recursive Human Activities. ICPR (1) Michael S. Ryoo, J. K. Aggarwal
2005	B	`conf`	Affective Dialogue Communication System with Emotional Memories for Humanoid Robots. ACII Michael S. Ryoo, Yongho Seo, Hye-Won Jung, Hyun Seung Yang
2005	A	`conf`	Evolving neural network ensembles for control problems. GECCO David Pardoe, Michael S. Ryoo, Risto Miikkulainen
2004	—	`conf`	Affective communication system with multimodality for a humanoid robot, AMI. Humanoids Hye-Won Jung, Yongho Seo, Michael S. Ryoo, Hyun Seung Yang