Michael S. Ryoo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
100
Venues
23
Active years
2005–2026
Best venue rank
A*
Where they publish
- A*CVPR26 papers
- A*ECCV12 papers
- A*ICCV7 papers
- AWACV7 papers
- A*ICRA6 papers
- A*ICLR5 papers
- A*AAAI5 papers
- AIROS5 papers
- A*IJCAI4 papers
- BICPR4 papers
- ABMVC3 papers
- UnrankedCoRL3 papers
- A*ACL2 papers
- BAVSS2 papers
- AEACL1 paper
- A*SIGGRAPH1 paper
- NationalMVA1 paper
- A*DAC1 paper
- A*ICML1 paper
- A*ASPLOS1 paper
- A*HRI1 paper
- BACII1 paper
- AGECCO1 paper
Papers
100 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA. | Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, Wonjeong Ryu, Donghyun Kim, Michael S. Ryoo |
| 2025 | ACL | LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. | 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 | ACL | Language Repository for Long Video Understanding. | Kumara Kahatapitiya, Kanchana Ranasinghe, Jongwoo Park, Michael S. Ryoo |
| 2025 | CVPR | Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise. | 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 | ICCV | Adaptive Caching for Faster Video Generation With Diffusion Transformers. | Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Chenyang Zhang, Michael S. Ryoo, Tian Xie |
| 2025 | ICCV | BLIP-3: A Family of Open Large Multimodal Models. | 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 | ICCV | Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data. | Honglu Zhou, Xiangyu Peng, Shrikant Kendre, Michael S. Ryoo, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles |
| 2025 | ICLR | 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 D. Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo |
| 2025 | ICLR | Understanding Long Videos with Multimodal Language Models. | Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo |
| 2024 | CVPR | MAGICK: A Large-Scale Captioned Dataset from Matting Generated Images Using Chroma Keying. | Ryan D. Burgert, Brian L. Price, Jason Kuen, Yijun Li, Michael S. Ryoo |
| 2024 | CVPR | VicTR: Video-conditioned Text Representations for Activity Recognition. | Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo |
| 2024 | CVPR | Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities. | A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova |
| 2024 | CVPR | Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. | Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin |
| 2024 | ECCV | CoPT: Unsupervised Domain Adaptive Segmentation Using Domain-Agnostic Text Embeddings. | Cristina Mata, Kanchana Ranasinghe, Michael S. Ryoo |
| 2024 | ECCV | Image Translation with Kernel Prediction Networks for Semantic Segmentation. | Cristina Mata, Michael S. Ryoo, Henrik Turbell |
| 2024 | ECCV | xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. | 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 | ICRA | SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. | Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tams Sarls, Ken Oslund, Karol Hausman, Kanishka Rao |
| 2024 | ICRA | Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. | Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo |
| 2024 | SIGGRAPH | Diffusion Illusions: Hiding Images in Plain Sight. | Ryan D. Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo |
| 2024 | WACV | Grafting Vision Transformers. | Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo |
| 2024 | WACV | Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders. | Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, Soumyajit Karmakar, Shyam Marjit, Xiang Li, Abhijit Das, Michael S. Ryoo |
| 2023 | AAAI | Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection. | Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo, Gang Hua |
| 2023 | BMVC | Attributes-Aware Network for Temporal Action Detection. | Rui Dai, Srijan Das, Michael S. Ryoo, Franois Brmond |
| 2023 | CoRL | RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. | 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 | CVPR | Token Turing Machines. | Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab |
| 2023 | ICLR | Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. | 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 | IJCAI | SWAT: Spatial Structure Within and Among Tokens. | Kumara Kahatapitiya, Michael S. Ryoo |
| 2023 | ICRA | Open-vocabulary Queryable Scene Representations for Real World Planning. | Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler |
| 2023 | ICRA | Energy-Based Models for Cross-Modal Localization using Convolutional Transformers. | Alan Wu, Michael S. Ryoo |
| 2023 | MVA | Cross-modal Manifold Cutmix for Self-supervised Video Representation Learning. | Srijan Das, Michael S. Ryoo |
| 2023 | WACV | ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints. | Srijan Das, Michael S. Ryoo |
| 2022 | CoRL | TRITON: Neural Neural Textures for Better Sim2Real. | Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo |
| 2022 | CVPR | MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection. | Rui Dai, Srijan Das, Kumara Kahatapitiya, Michael S. Ryoo, Franois Brmond |
| 2022 | CVPR | Self-supervised Video Transformer. | Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael S. Ryoo |
| 2022 | ECCV | Video Question Answering with Iterative Video-Text Co-tokenization. | A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova |
| 2022 | ECCV | StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning. | Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo |
| 2022 | ICLR | Hybrid Random Features. | 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 |
| 2021 | BMVC | Unsupervised Discovery of Actions in Instructional Videos. | A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan Essa |
| 2021 | CVPR | Coarse-Fine Networks for Temporal Activity Detection in Videos. | Kumara Kahatapitiya, Michael S. Ryoo |
| 2021 | CVPR | Adaptive Intermediate Representations for Video Understanding. | Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova |
| 2021 | CVPR | Recognizing Actions in Videos From Unseen Viewpoints. | A. J. Piergiovanni, Michael S. Ryoo |
| 2021 | ICCV | 4D-Net for Learned Multi-Modal Alignment. | A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova |
| 2021 | ICRA | Visionary: Vision architecture discovery for robot learning. | Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo |
| 2021 | IROS | Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. | Jinghuan Shang, Michael S. Ryoo |
| 2020 | AAAI | Differentiable Grammars for Videos. | A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo |
| 2020 | CVPR | Evolving Losses for Unsupervised Video Representation Learning. | A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo |
| 2020 | ECCV | Password-Conditioned Anonymization and Deanonymization with Face Identity Transformers. | Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee |
| 2020 | ECCV | Adversarial Generative Grammars for Human Activity Prediction. | A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo |
| 2020 | ECCV | AssembleNet++: Assembling Modality Representations via Attention Connections. | Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova |
| 2020 | ECCV | AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. | Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua |
| 2020 | ICLR | AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. | Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova |
| 2020 | WACV | Learning Multimodal Representations for Unseen Activities. | A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | CoRL | Model-based Behavioral Cloning with Future Image Similarity Learning. | Alan Wu, A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | CVPR | Representation Flow for Action Recognition. | A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | CVPR | Early Detection of Injuries in MLB Pitchers From Video. | A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | DAC | Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing. | Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim |
| 2019 | ICCV | Evolving Space-Time Neural Architectures for Videos. | A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo |
| 2019 | ICML | Temporal Gaussian Mixture Layer for Videos. | A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | IROS | Privacy-Preserving Robot Vision with Anonymized Faces by Extreme Low Resolution. | Myeung Un Kim, Harim Lee, Hyun Jong Yang, Michael S. Ryoo |
| 2019 | IROS | Learning Real-World Robot Policies by Dreaming. | A. J. Piergiovanni, Alan Wu, Michael S. Ryoo |
| 2018 | AAAI | Extreme Low Resolution Activity Recognition With Multi-Siamese Embedding Learning. | Michael S. Ryoo, Kiyoon Kim, Hyun Jong Yang |
| 2018 | ASPLOS | Real-Time Image Recognition Using Collaborative IoT Devices. | Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim |
| 2018 | CVPR | Learning Latent Super-Events to Detect Multiple Activities in Videos. | A. J. Piergiovanni, Michael S. Ryoo |
| 2018 | CVPR | Fine-Grained Activity Recognition in Baseball Videos. | A. J. Piergiovanni, Michael S. Ryoo |
| 2018 | CVPR | Action-Conditioned Convolutional Future Regression Models for Robot Imitation Learning. | Alan Wu, A. J. Piergiovanni, Michael S. Ryoo |
| 2018 | ECCV | Forecasting Hands and Objects in Future Frames. | Chenyou Fan, Jangwon Lee, Michael S. Ryoo |
| 2018 | ECCV | Learning to Anonymize Faces for Privacy Preserving Action Detection. | Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo |
| 2018 | ECCV | Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos. | Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall |
| 2017 | AAAI | Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters. | A. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo |
| 2017 | AAAI | Privacy-Preserving Human Activity Recognition from Extreme Low Resolution. | Michael S. Ryoo, Brandon Rothrock, Charles Fleming, Hyun Jong Yang |
| 2017 | CVPR | Identifying First-Person Camera Wearers in Third-Person Videos. | Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo |
| 2017 | CVPR | Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression. | Jangwon Lee, Michael S. Ryoo |
| 2017 | IJCAI | Multi-Type Activity Recognition from a Robot's Viewpoint. | Ilaria Gori, J. K. Aggarwal, Larry H. Matthies, Michael S. Ryoo |
| 2017 | IROS | Learning robot activities from first-person human videos using convolutional future regression. | Jangwon Lee, Michael S. Ryoo |
| 2017 | ICRA | Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions. | Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu |
| 2016 | IJCAI | Learning Social Affordance for Human-Robot Interaction. | Tianmin Shu, Michael S. Ryoo, Song-Chun Zhu |
| 2015 | CVPR | Pooled motion features for first-person videos. | Michael S. Ryoo, Brandon Rothrock, Larry H. Matthies |
| 2015 | HRI | Robot-Centric Activity Prediction from First-Person Videos: What Will They Do to Me'. | Michael S. Ryoo, Thomas J. Fuchs, Lu Xia, Jake K. Aggarwal, Larry H. Matthies |
| 2015 | WACV | Robot-centric Activity Recognition from First-Person RGB-D Videos. | Lu Xia, Ilaria Gori, Jake K. Aggarwal, Michael S. Ryoo |
| 2014 | CVPR | An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision. | Steve Mann, Kris M. Kitani, Yong Jae Lee, Michael S. Ryoo, Alireza Fathi |
| 2014 | ICPR | First-Person Animal Activity Recognition from Egocentric Videos. | Yumi Iwashita, Asamichi Takamine, Ryo Kurazume, Michael S. Ryoo |
| 2013 | BMVC | Recognizing Humans in Motion: Trajectory-based Aerial Video Analysis. | Yumi Iwashita, Michael S. Ryoo, Thomas J. Fuchs, Curtis Padgett |
| 2013 | CVPR | First-Person Activity Recognition: What Are They Doing to Me? | Michael S. Ryoo, Larry H. Matthies |
| 2012 | IROS | Reliable object detection and segmentation using inpainting. | Ji Hoon Joung, Michael S. Ryoo, Sunglok Choi, Sung-Rak Kim |
| 2011 | ICCV | Human activity prediction: Early recognition of ongoing activities from streaming videos. | Michael S. Ryoo |
| 2011 | WACV | Personal driving diary: Constructing a video archive of everyday driving events. | Michael S. Ryoo, Jae-Yeong Lee, Ji Hoon Joung, Sunglok Choi, Wonpil Yu |
| 2011 | WACV | One video is sufficient? Human activity recognition using active video composition. | Michael S. Ryoo, Wonpil Yu |
| 2010 | ICPR | An Overview of Contest on Semantic Description of Human Activities (SDHA) 2010. | Michael S. Ryoo, Chia-Chih Chen, J. K. Aggarwal, Amit K. Roy-Chowdhury |
| 2009 | CVPR | Stochastic representation and recognition of high-level group activities: Describing structural uncertainties in human activities. | Michael S. Ryoo, Jake K. Aggarwal |
| 2009 | ICCV | Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities. | Michael S. Ryoo, Jake K. Aggarwal |
| 2008 | CVPR | Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects. | Michael S. Ryoo, Jake K. Aggarwal |
| 2008 | ICPR | Human activities: Handling uncertainties using fuzzy time intervals. | Michael S. Ryoo, Jake K. Aggarwal |
| 2007 | AVSS | Detection of abandoned objects in crowded environments. | Medha Bhargava, Chia-Chih Chen, Michael S. Ryoo, Jake K. Aggarwal |
| 2007 | AVSS | Real-time detection of illegally parked vehicles using 1-D transformation. | Jong Taek Lee, Michael S. Ryoo, Matthew Riley, Jake K. Aggarwal |
| 2007 | CVPR | Hierarchical Recognition of Human Activities Interacting with Objects. | Michael S. Ryoo, J. K. Aggarwal |
| 2007 | IJCAI | Robust Human-Computer Interaction System Guiding a User by Providing Feedback. | Michael S. Ryoo, Jake K. Aggarwal |
| 2006 | CVPR | Recognition of Composite Human Activities through Context-Free Grammar Based Representation. | Michael S. Ryoo, J. K. Aggarwal |
| 2006 | ICPR | Semantic Understanding of Continued and Recursive Human Activities. | Michael S. Ryoo, J. K. Aggarwal |
| 2005 | ACII | Affective Dialogue Communication System with Emotional Memories for Humanoid Robots. | Michael S. Ryoo, Yongho Seo, Hye-Won Jung, Hyun Seung Yang |
| 2005 | GECCO | Evolving neural network ensembles for control problems. | David Pardoe, Michael S. Ryoo, Risto Miikkulainen |