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ORCIDMichael S. Ryoo
Person information
- affiliation: Stony Brook University, Department of Computer Science, NY, USA
- affiliation: Google Brain
- affiliation: Indiana University Bloomington, IN, USA
- affiliation: NASA Jet Propulsion Laboratory (JPL), Pasadena, CA, USA
- affiliation (PhD 2008): University of Texas at Austin, Computer and Vision Research Center, TX, USA
- affiliation: Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
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2020 – today
- 2025
[c110]Kumara Kahatapitiya, Kanchana Ranasinghe, Jongwoo Park, Michael S. Ryoo:
Language Repository for Long Video Understanding. ACL (Findings) 2025: 5627-5646- [c109]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:
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. ACL (Findings) 2025: 12921-12934 - [c108]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:
Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise. CVPR 2025: 13-23 - [c107]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:
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. ICLR 2025 - [c106]Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo:
Understanding Long Videos with Multimodal Language Models. ICLR 2025 - [i90]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:
Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise. CoRR abs/2501.08331 (2025) - [i89]Jake Grigsby, Yuke Zhu, Michael S. Ryoo, Juan Carlos Niebles:
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making. CoRR abs/2505.03181 (2025) - [i88]Kanchana Ranasinghe, Xiang Li, Cristina Mata, Jongwoo Park, Michael S. Ryoo:
Pixel Motion as Universal Representation for Robot Control. CoRR abs/2505.07817 (2025) - [i87]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:
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. CoRR abs/2506.02298 (2025) - 2024
- [c105]Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin:
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. CVPR 2024: 12977-12987 - [c104]Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo:
VicTR: Video-conditioned Text Representations for Activity Recognition. CVPR 2024: 18547-18558 - [c103]Ryan D. Burgert, Brian L. Price, Jason Kuen, Yijun Li, Michael S. Ryoo:
MAGICK: A Large-Scale Captioned Dataset from Matting Generated Images Using Chroma Keying. CVPR 2024: 22595-22604 - [c102]A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova:
Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities. CVPR 2024: 26794-26804 - [c101]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:
xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. ECCV Workshops (5) 2024: 249-265 - [c100]Cristina Mata, Michael S. Ryoo, Henrik Turbell:
Image Translation with Kernel Prediction Networks for Semantic Segmentation. ECCV Workshops (18) 2024: 328-343 - [c99]Cristina Mata, Kanchana Ranasinghe, Michael S. Ryoo:
CoPT: Unsupervised Domain Adaptive Segmentation Using Domain-Agnostic Text Embeddings. ECCV (62) 2024: 424-440 - [c98]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:
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. ICRA 2024: 6920-6927 - [c97]Xiang Li
, Varun Belagali, Jinghuan Shang, Michael S. Ryoo:
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. ICRA 2024: 16841-16849 - [c96]Ryan D. Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo:
Diffusion Illusions: Hiding Images in Plain Sight. SIGGRAPH (Conference Paper Track) 2024: 131 - [c95]Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo:
Grafting Vision Transformers. WACV 2024: 1134-1143 - [c94]Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, Soumyajit Karmakar, Shyam Marjit, Xiang Li, Abhijit Das, Michael S. Ryoo:
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders. WACV 2024: 6864-6874 - [i86]Kumara Kahatapitiya, Kanchana Ranasinghe, Jongwoo Park, Michael S. Ryoo:
Language Repository for Long Video Understanding. CoRR abs/2403.14622 (2024) - [i85]Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo:
Understanding Long Videos in One Multimodal Language Model Pass. CoRR abs/2403.16998 (2024) - [i84]Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin:
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. CoRR abs/2404.07449 (2024) - [i83]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) - [i82]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:
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. CoRR abs/2406.20095 (2024) - [i81]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:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i80]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:
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR abs/2408.12590 (2024) - [i79]Michael S. Ryoo, Honglu Zhou, Shrikant Kendre, Can Qin, Le Xue, Manli Shu, Silvio Savarese, Ran Xu, Caiming Xiong, Juan Carlos Niebles:
xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs. CoRR abs/2410.16267 (2024) - [i78]Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Chenyang Zhang, Michael S. Ryoo, Tian Xie:
Adaptive Caching for Faster Video Generation with Diffusion Transformers. CoRR abs/2411.02397 (2024) - [i77]A. J. Piergiovanni, Dahun Kim, Michael S. Ryoo, Isaac Noble, Anelia Angelova:
Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning. CoRR abs/2411.14688 (2024) - [i76]Kanchana Ranasinghe, Sadeep Jayasumana, Andreas Veit, Ayan Chakrabarti, Daniel Glasner, Michael S. Ryoo, Srikumar Ramalingam, Sanjiv Kumar:
LatentCRF: Continuous CRF for Efficient Latent Diffusion. CoRR abs/2412.18596 (2024) - 2023
- [j15]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) - [c93]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 - [c92]Rui Dai, Srijan Das, Michael S. Ryoo, François Brémond:
Attributes-Aware Network for Temporal Action Detection. BMVC 2023: 114-116 - [c91]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:
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRL 2023: 2165-2183 - [c90]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 - [c89]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge. EDGE 2023: 245-254 - [c88]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:
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. ICLR 2023 - [c87]Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler:
Open-vocabulary Queryable Scene Representations for Real World Planning. ICRA 2023: 11509-11522 - [c86]Alan Wu, Michael S. Ryoo:
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers. ICRA 2023: 11726-11733 - [c85]Kumara Kahatapitiya, Michael S. Ryoo:
SWAT: Spatial Structure Within and Among Tokens. IJCAI 2023: 956-964 - [c84]Srijan Das, Michael S. Ryoo:
Cross-modal Manifold Cutmix for Self-supervised Video Representation Learning. MVA 2023: 1-6 - [c83]Kanchana Ranasinghe, Michael S. Ryoo:
Language-based Action Concept Spaces Improve Video Self-Supervised Learning. NeurIPS 2023 - [c82]Jinghuan Shang, Michael S. Ryoo:
Active Vision Reinforcement Learning under Limited Visual Observability. NeurIPS 2023 - [c81]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:
RT-1: Robotics Transformer for Real-World Control at Scale. Robotics: Science and Systems 2023 - [c80]Srijan Das, Michael S. Ryoo:
ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints. WACV 2023: 5562-5572 - [i75]Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo:
VicTR: Video-conditioned Text Representations for Activity Recognition. CoRR abs/2304.02560 (2023) - [i74]Jinghuan Shang, Michael S. Ryoo:
Active Reinforcement Learning under Limited Visual Observability. CoRR abs/2306.00975 (2023) - [i73]Alan Wu, Michael S. Ryoo:
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers. CoRR abs/2306.04021 (2023) - [i72]Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo:
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. CoRR abs/2307.01849 (2023) - [i71]Kanchana Ranasinghe, Michael S. Ryoo:
Language-based Action Concept Spaces Improve Video Self-Supervised Learning. CoRR abs/2307.10922 (2023) - [i70]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:
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRR abs/2307.15818 (2023) - [i69]Rui Dai, Srijan Das, Michael S. Ryoo, François Brémond:
AAN: Attributes-Aware Network for Temporal Action Detection. CoRR abs/2309.00696 (2023) - [i68]Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, Soumyajit Karmakar, Shyam Marjit, Xiang Li, Abhijit Das, Michael S. Ryoo:
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders. CoRR abs/2310.20704 (2023) - [i67]A. J. Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova:
Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities. CoRR abs/2311.05698 (2023) - [i66]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:
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. CoRR abs/2312.01990 (2023) - [i65]Ryan D. Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo:
Diffusion Illusions: Hiding Images in Plain Sight. CoRR abs/2312.03817 (2023) - 2022
- [c79]Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo:
TRITON: Neural Neural Textures for Better Sim2Real. CoRL 2022: 2215-2225 - [c78]Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CVPR 2022: 2864-2874 - [c77]Rui Dai, Srijan Das, Kumara Kahatapitiya, Michael S. Ryoo, François Brémond:
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection. CVPR 2022: 20009-20019 - [c76]A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova:
Video Question Answering with Iterative Video-Text Co-tokenization. ECCV (36) 2022: 76-94 - [c75]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 - [c74]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:
Hybrid Random Features. ICLR 2022 - [c73]Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo:
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? NeurIPS 2022 - [c72]Jinghuan Shang, Srijan Das, Michael S. Ryoo:
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. NeurIPS 2022 - [i64]Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence:
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. CoRR abs/2204.00598 (2022) - [i63]Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo:
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? CoRR abs/2206.05266 (2022) - [i62]Jinghuan Shang, Srijan Das, Michael S. Ryoo:
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. CoRR abs/2206.11895 (2022) - [i61]Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo:
Neural Neural Textures Make Sim2Real Consistent. CoRR abs/2206.13500 (2022) - [i60]Srijan Das, Michael S. Ryoo:
Video + CLIP Baseline for Ego4D Long-term Action Anticipation. CoRR abs/2207.00579 (2022) - [i59]A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova:
Video Question Answering with Iterative Video-Text Co-Tokenization. CoRR abs/2208.00934 (2022) - [i58]Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler:
Open-vocabulary Queryable Scene Representations for Real World Planning. CoRR abs/2209.09874 (2022) - [i57]Jongwoo Park, Kumara Kahatapitiya, Donghyun Kim, Shivchander Sudalairaj, Quanfu Fan, Michael S. Ryoo:
Grafting Vision Transformers. CoRR abs/2210.15943 (2022) - [i56]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) - [i55]Ryan D. Burgert, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo:
Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors. CoRR abs/2211.13224 (2022) - [i54]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:
RT-1: Robotics Transformer for Real-World Control at Scale. CoRR abs/2212.06817 (2022) - 2021
- [c71]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan Essa:
Unsupervised Discovery of Actions in Instructional Videos. BMVC 2021: 283 - [c70]Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova:
Adaptive Intermediate Representations for Video Understanding. CVPR Workshops 2021: 1602-1612 - [c69]A. J. Piergiovanni, Michael S. Ryoo:
Recognizing Actions in Videos From Unseen Viewpoints. CVPR 2021: 4124-4132 - [c68]Kumara Kahatapitiya, Michael S. Ryoo:
Coarse-Fine Networks for Temporal Activity Detection in Videos. CVPR 2021: 8385-8394 - [c67]A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova:
4D-Net for Learned Multi-Modal Alignment. ICCV 2021: 15415-15425 - [c66]Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo:
Visionary: Vision architecture discovery for robot learning. ICRA 2021: 10779-10785 - [c65]Jinghuan Shang, Michael S. Ryoo:
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. IROS 2021: 214-221 - [c64]Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova:
TokenLearner: Adaptive Space-Time Tokenization for Videos. NeurIPS 2021: 12786-12797 - [i53]Kumara Kahatapitiya, Michael S. Ryoo:
Coarse-Fine Networks for Temporal Activity Detection in Videos. CoRR abs/2103.01302 (2021) - [i52]Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo:
Visionary: Vision architecture discovery for robot learning. CoRR abs/2103.14633 (2021) - [i51]A. J. Piergiovanni, Michael S. Ryoo:
Recognizing Actions in Videos from Unseen Viewpoints. CoRR abs/2103.16516 (2021) - [i50]Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova:
Adaptive Intermediate Representations for Video Understanding. CoRR abs/2104.07135 (2021) - [i49]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan A. Essa:
Unsupervised Action Segmentation for Instructional Videos. CoRR abs/2106.03738 (2021) - [i48]Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova:
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? CoRR abs/2106.11297 (2021) - [i47]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan A. Essa:
Unsupervised Discovery of Actions in Instructional Videos. CoRR abs/2106.14733 (2021) - [i46]Jinghuan Shang, Michael S. Ryoo:
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. CoRR abs/2108.01069 (2021) - [i45]A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova:
4D-Net for Learned Multi-Modal Alignment. CoRR abs/2109.01066 (2021) - [i44]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:
Hybrid Random Features. CoRR abs/2110.04367 (2021) - [i43]Jinghuan Shang, Michael S. Ryoo:
StARformer: Transformer with State-Action-Reward Representations. CoRR abs/2110.06206 (2021) - [i42]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) - [i41]Kumara Kahatapitiya, Michael S. Ryoo:
SWAT: Spatial Structure Within and Among Tokens. CoRR abs/2111.13677 (2021) - [i40]Kanchana Ranasinghe, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CoRR abs/2112.01514 (2021) - [i39]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) - [i38]Srijan Das, Michael S. Ryoo:
ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints. CoRR abs/2112.03905 (2021) - [i37]Srijan Das, Michael S. Ryoo:
STC-mix: Space, Time, Channel mixing for Self-supervised Video Representation. CoRR abs/2112.03906 (2021) - 2020
- [j14]Alan Wu, A. J. Piergiovanni, Michael S. Ryoo:
Model-Based Robot Imitation with Future Image Similarity. Int. J. Comput. Vis. 128(5): 1360-1374 (2020) - [j13]Alan Wu, A. J. Piergiovanni, Michael S. Ryoo:
Correction to: Model-Based Robot Imitation with Future Image Similarity. Int. J. Comput. Vis. 128(5): 1375 (2020) - [j12]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Toward Collaborative Inferencing of Deep Neural Networks on Internet-of-Things Devices. IEEE Internet Things J. 7(6): 4950-4960 (2020) - [c63]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Differentiable Grammars for Videos. AAAI 2020: 11874-11881 - [c62]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Evolving Losses for Unsupervised Video Representation Learning. CVPR 2020: 130-139 - [c61]Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua:
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. ECCV (8) 2020: 449-465 - [c60]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Adversarial Generative Grammars for Human Activity Prediction. ECCV (2) 2020: 507-523 - [c59]Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova:
AssembleNet++: Assembling Modality Representations via Attention Connections. ECCV (20) 2020: 654-671 - [c58]Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee:
Password-Conditioned Anonymization and Deanonymization with Face Identity Transformers. ECCV (23) 2020: 727-743 - [c57]Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova:
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. ICLR 2020 - [c56]A. J. Piergiovanni, Michael S. Ryoo:
AViD Dataset: Anonymized Videos from Diverse Countries. NeurIPS 2020 - [c55]A. J. Piergiovanni, Michael S. Ryoo:
Learning Multimodal Representations for Unseen Activities. WACV 2020: 506-515 - [i36]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Evolving Losses for Unsupervised Video Representation Learning. CoRR abs/2002.12177 (2020) - [i35]Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Younmin Bae, Hyojong Kim, Michael S. Ryoo, Hyesoon Kim:
Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution. CoRR abs/2003.06464 (2020) - [i34]A. J. Piergiovanni, Michael S. Ryoo:
AViD Dataset: Anonymized Videos from Diverse Countries. CoRR abs/2007.05515 (2020) - [i33]Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua:
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification. CoRR abs/2007.12034 (2020) - [i32]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Adversarial Generative Grammars for Human Activity Prediction. CoRR abs/2008.04888 (2020) - [i31]Michael S. Ryoo, A. J. Piergiovanni, Juhana Kangaspunta, Anelia Angelova:
AssembleNet++: Assembling Modality Representations via Attention Connections. CoRR abs/2008.08072 (2020) - [i30]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Reducing Inference Latency with Concurrent Architectures for Image Recognition. CoRR abs/2011.07092 (2020) - no results
2010 – 2019
- 2019
- [c54]Alan Wu, A. J. Piergiovanni, Michael S. Ryoo:
Model-based Behavioral Cloning with Future Image Similarity Learning. CoRL 2019: 1062-1077 - [c53]A. J. Piergiovanni, Michael S. Ryoo:
Early Detection of Injuries in MLB Pitchers From Video. CVPR Workshops 2019: 2431-2438 - [c52]A. J. Piergiovanni, Michael S. Ryoo:
Representation Flow for Action Recognition. CVPR 2019: 9945-9953 - [c51]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing. DAC 2019: 234 - [c50]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Evolving Space-Time Neural Architectures for Videos. ICCV 2019: 1793-1802 - [c49]A. J. Piergiovanni, Michael S. Ryoo:
Temporal Gaussian Mixture Layer for Videos. ICML 2019: 5152-5161 - [c48]Myeung Un Kim, Harim Lee, Hyun Jong Yang, Michael S. Ryoo:
Privacy-Preserving Robot Vision with Anonymized Faces by Extreme Low Resolution. IROS 2019: 462-467 - [c47]A. J. Piergiovanni, Alan Wu, Michael S. Ryoo:
Learning Real-World Robot Policies by Dreaming. IROS 2019: 7680-7687 - [i29]Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Collaborative Execution of Deep Neural Networks on Internet of Things Devices. CoRR abs/1901.02537 (2019) - [i28]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Learning Differentiable Grammars for Continuous Data. CoRR abs/1902.00505 (2019) - [i27]A. J. Piergiovanni, Michael S. Ryoo:
Early Detection of Injuries in MLB Pitchers from Video. CoRR abs/1904.08916 (2019) - [i26]Michael S. Ryoo, A. J. Piergiovanni, Mingxing Tan, Anelia Angelova:
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. CoRR abs/1905.13209 (2019) - [i25]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Evolving Losses for Unlabeled Video Representation Learning. CoRR abs/1906.03248 (2019) - [i24]Alan Wu, A. J. Piergiovanni, Michael S. Ryoo:
Model-based Behavioral Cloning with Future Image Similarity Learning. CoRR abs/1910.03157 (2019) - [i23]A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Tiny Video Networks. CoRR abs/1910.06961 (2019) - [i22]Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee:
Password-conditioned Anonymization and Deanonymization with Face Identity Transformers. CoRR abs/1911.11759 (2019) - 2018
- [j11]Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim:
Distributed Perception by Collaborative Robots. IEEE Robotics Autom. Lett. 3(4): 3709-3716 (2018) - [c46]Michael S. Ryoo, Kiyoon Kim, Hyun Jong Yang:
Extreme Low Resolution Activity Recognition With Multi-Siamese Embedding Learning. AAAI 2018: 7315-7322 - [c45]Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim:
Real-Time Image Recognition Using Collaborative IoT Devices. ReQuEST@ASPLOS 2018: 4 - [c44]A. J. Piergiovanni, Michael S. Ryoo:
Fine-Grained Activity Recognition in Baseball Videos. CVPR Workshops 2018: 1740-1748 - [c43]Alan Wu, A. J. Piergiovanni, Michael S. Ryoo:
Action-Conditioned Convolutional Future Regression Models for Robot Imitation Learning. CVPR Workshops 2018: 2035-2037 - [c42]A. J. Piergiovanni, Michael S. Ryoo:
Learning Latent Super-Events to Detect Multiple Activities in Videos. CVPR 2018: 5304-5313 - [c41]Chenyou Fan, Jangwon Lee, Michael S. Ryoo:
Forecasting Hands and Objects in Future Frames. ECCV Workshops (3) 2018: 124-137 - [c40]Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo:
Learning to Anonymize Faces for Privacy Preserving Action Detection. ECCV (1) 2018: 639-655 - [c39]Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall:
Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos. ECCV (1) 2018: 656-672 - [i21]Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim:
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices. CoRR abs/1802.02138 (2018) - [i20]A. J. Piergiovanni, Michael S. Ryoo:
Activity Detection with Latent Sub-event Hierarchy Learning. CoRR abs/1803.06316 (2018) - [i19]Mingze Xu, Chenyou Fan, Yuchen Wang, Michael S. Ryoo, David J. Crandall:
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos. CoRR abs/1803.11217 (2018) - [i18]Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo:
Learning to Anonymize Faces for Privacy Preserving Action Detection. CoRR abs/1803.11556 (2018) - [i17]A. J. Piergiovanni, Michael S. Ryoo:
Fine-grained Activity Recognition in Baseball Videos. CoRR abs/1804.03247 (2018) - [i16]A. J. Piergiovanni, Alan Wu, Michael S. Ryoo:
Learning Real-World Robot Policies by Dreaming. CoRR abs/1805.07813 (2018) - [i15]A. J. Piergiovanni, Michael S. Ryoo:
Learning Shared Multimodal Embeddings with Unpaired Data. CoRR abs/1806.08251 (2018) - [i14]A. J. Piergiovanni, Michael S. Ryoo:
Representation Flow for Action Recognition. CoRR abs/1810.01455 (2018) - [i13]A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo:
Evolving Space-Time Neural Architectures for Videos. CoRR abs/1811.10636 (2018) - 2017
- [c38]A. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo:
Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters. AAAI 2017: 4247-4254 - [c37]Michael S. Ryoo, Brandon Rothrock, Charles Fleming, Hyun Jong Yang:
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution. AAAI 2017: 4255-4262 - [c36]Jangwon Lee, Michael S. Ryoo:
Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression. CVPR Workshops 2017: 472-473 - [c35]Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo:
Identifying First-Person Camera Wearers in Third-Person Videos. CVPR 2017: 4734-4742 - [c34]Adrian Stoica, Yumi Iwashita, Christopher Assad, Michael S. Ryoo, Gareth Howells:
A holistic approach to interpreting human states in smart environments providing high quality of life. EST 2017: 133-137 - [c33]Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu:
Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions. ICRA 2017: 1669-1676 - [c32]Ilaria Gori, J. K. Aggarwal, Larry H. Matthies, Michael S. Ryoo:
Multi-Type Activity Recognition from a Robot's Viewpoint. IJCAI 2017: 4849-4853 - [c31]Jangwon Lee, Michael S. Ryoo:
Learning robot activities from first-person human videos using convolutional future regression. IROS 2017: 1497-1504 - [i12]Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu:
Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions. CoRR abs/1703.00503 (2017) - [i11]Jangwon Lee, Michael S. Ryoo:
Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression. CoRR abs/1703.01040 (2017) - [i10]Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo:
Identifying First-person Camera Wearers in Third-person Videos. CoRR abs/1704.06340 (2017) - [i9]Chenyou Fan, Jangwon Lee, Michael S. Ryoo:
Forecasting Hand and Object Locations in Future Frames. CoRR abs/1705.07328 (2017) - [i8]Michael S. Ryoo, Kiyoon Kim, Hyun Jong Yang:
Extreme Low Resolution Activity Recognition with Multi-Siamese Embedding Learning. CoRR abs/1708.00999 (2017) - [i7]A. J. Piergiovanni, Michael S. Ryoo:
Learning Latent Super-Events to Detect Multiple Activities in Videos. CoRR abs/1712.01938 (2017) - 2016
- [j10]Michael S. Ryoo, Larry H. Matthies:
First-Person Activity Recognition: Feature, Temporal Structure, and Prediction. Int. J. Comput. Vis. 119(3): 307-328 (2016) - [j9]Ilaria Gori, J. K. Aggarwal, Larry H. Matthies, Michael S. Ryoo:
Multitype Activity Recognition in Robot-Centric Scenarios. IEEE Robotics Autom. Lett. 1(1): 593-600 (2016) - [c30]Tianmin Shu, Michael S. Ryoo, Song-Chun Zhu:
Learning Social Affordance for Human-Robot Interaction. IJCAI 2016: 3454-3461 - [i6]Michael S. Ryoo, Brandon Rothrock, Charles Fleming:
Privacy-Preserving Egocentric Activity Recognition from Extreme Low Resolution. CoRR abs/1604.03196 (2016) - [i5]Tianmin Shu, Michael S. Ryoo, Song-Chun Zhu:
Learning Social Affordance for Human-Robot Interaction. CoRR abs/1604.03692 (2016) - [i4]A. J. Piergiovanni, Chenyou Fan, Michael S. Ryoo:
Temporal attention filters for human activity recognition in videos. CoRR abs/1605.08140 (2016) - 2015
- [c29]Michael S. Ryoo, Brandon Rothrock, Larry H. Matthies:
Pooled motion features for first-person videos. CVPR 2015: 896-904 - [c28]Michael S. Ryoo, Thomas J. Fuchs, Lu Xia, Jake K. Aggarwal, Larry H. Matthies:
Robot-Centric Activity Prediction from First-Person Videos: What Will They Do to Me'. HRI 2015: 295-302 - [c27]Lu Xia, Ilaria Gori, Jake K. Aggarwal, Michael S. Ryoo:
Robot-centric Activity Recognition from First-Person RGB-D Videos. WACV 2015: 357-364 - [i3]Ilaria Gori, J. K. Aggarwal, Michael S. Ryoo:
Building Unified Human Descriptors For Multi-Type Activity Recognition. CoRR abs/1507.02558 (2015) - 2014
- [c26]Steve Mann, Kris M. Kitani, Yong Jae Lee, Michael S. Ryoo, Alireza Fathi:
An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision. CVPR Workshops 2014: 827-832 - [c25]Yumi Iwashita, Asamichi Takamine, Ryo Kurazume, Michael S. Ryoo:
First-Person Animal Activity Recognition from Egocentric Videos. ICPR 2014: 4310-4315 - [i2]Michael S. Ryoo, Thomas J. Fuchs, Lu Xia, J. K. Aggarwal, Larry H. Matthies:
Early Recognition of Human Activities from First-Person Videos Using Onset Representations. CoRR abs/1406.5309 (2014) - [i1]Michael S. Ryoo, Brandon Rothrock, Larry H. Matthies:
Pooled Motion Features for First-Person Videos. CoRR abs/1412.6505 (2014) - 2013
- [j8]Michael S. Ryoo, Sunglok Choi, Ji Hoon Joung, Jae-Yeong Lee, Wonpil Yu:
Personal driving diary: Automated recognition of driving events from first-person videos. Comput. Vis. Image Underst. 117(10): 1299-1312 (2013) - [c24]Yumi Iwashita, Michael S. Ryoo, Thomas J. Fuchs, Curtis Padgett:
Recognizing Humans in Motion: Trajectory-based Aerial Video Analysis. BMVC 2013 - [c23]Michael S. Ryoo, Larry H. Matthies:
First-Person Activity Recognition: What Are They Doing to Me? CVPR 2013: 2730-2737 - 2012
- [j7]J. K. Aggarwal, Michael S. Ryoo:
Toward a unified framework of motion understanding. Image Vis. Comput. 30(8): 465-466 (2012) - [c22]Ji Hoon Joung, Michael S. Ryoo, Sunglok Choi, Sung-Rak Kim:
Reliable object detection and segmentation using inpainting. IROS 2012: 3871-3876 - 2011
- [j6]J. K. Aggarwal, Michael S. Ryoo:
Human activity analysis: A review. ACM Comput. Surv. 43(3): 16:1-16:43 (2011) - [j5]Michael S. Ryoo, J. K. Aggarwal:
Stochastic Representation and Recognition of High-Level Group Activities. Int. J. Comput. Vis. 93(2): 183-200 (2011) - [c21]Michael S. Ryoo:
Human activity prediction: Early recognition of ongoing activities from streaming videos. ICCV 2011: 1036-1043 - [c20]Michael S. Ryoo:
Interactive learning of human activities using active video composition. ICCV Workshops 2011: 672-679 - [c19]Ji Hoon Joung, Michael S. Ryoo, Sunglok Choi, Wonpil Yu, Heesung Chae:
Background-aware pedestrian/vehicle detection system for driving environments. ITSC 2011: 1331-1336 - [c18]Michael S. Ryoo, Ji Hoon Joung, Wonpil Yu:
Compensating for visually missing features: Scale adaptive recognition of objects using probabilistic voting. URAI 2011: 287-288 - [c17]Michael S. Ryoo, Jae-Yeong Lee, Ji Hoon Joung, Sunglok Choi, Wonpil Yu:
Personal driving diary: Constructing a video archive of everyday driving events. WACV 2011: 628-633 - [c16]Michael S. Ryoo, Wonpil Yu:
One video is sufficient? Human activity recognition using active video composition. WACV 2011: 634-641 - 2010
- [j4]Michael S. Ryoo, Kristen Grauman, Jake K. Aggarwal:
A task-driven intelligent workspace system to provide guidance feedback. Comput. Vis. Image Underst. 114(5): 520-534 (2010) - [c15]Michael S. Ryoo, Jong Taek Lee, Jake K. Aggarwal:
Video scene analysis of interactions between humans and vehicles using event context. CIVR 2010: 462-469 - [c14]Michael S. Ryoo, Chia-Chih Chen, J. K. Aggarwal, Amit K. Roy-Chowdhury:
An Overview of Contest on Semantic Description of Human Activities (SDHA) 2010. ICPR Contests 2010: 270-285 - no results
2000 – 2009
- 2009
- [j3]Michael S. Ryoo, Jake K. Aggarwal:
Semantic Representation and Recognition of Continued and Recursive Human Activities. Int. J. Comput. Vis. 82(1): 1-24 (2009) - [j2]Medha Bhargava, Chia-Chih Chen, Michael S. Ryoo, Jake K. Aggarwal:
Detection of object abandonment using temporal logic. Mach. Vis. Appl. 20(5): 271-281 (2009) - [j1]Jong Taek Lee, Michael S. Ryoo, Matthew Riley, J. K. Aggarwal:
Real-Time Illegal Parking Detection in Outdoor Environments Using 1-D Transformation. IEEE Trans. Circuits Syst. Video Technol. 19(7): 1014-1024 (2009) - [c13]Michael S. Ryoo, Jake K. Aggarwal:
Stochastic representation and recognition of high-level group activities: Describing structural uncertainties in human activities. CVPR Workshops 2009: 11 - [c12]Michael S. Ryoo, Jake K. Aggarwal:
Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities. ICCV 2009: 1593-1600 - 2008
- [c11]Michael S. Ryoo, Jake K. Aggarwal:
Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects. CVPR 2008 - [c10]Michael S. Ryoo, Jake K. Aggarwal:
Human activities: Handling uncertainties using fuzzy time intervals. ICPR 2008: 1-5 - 2007
- [c9]Jong Taek Lee, Michael S. Ryoo, Matthew Riley, Jake K. Aggarwal:
Real-time detection of illegally parked vehicles using 1-D transformation. AVSS 2007: 254-259 - [c8]Medha Bhargava, Chia-Chih Chen, Michael S. Ryoo, Jake K. Aggarwal:
Detection of abandoned objects in crowded environments. AVSS 2007: 271-276 - [c7]Michael S. Ryoo, J. K. Aggarwal:
Hierarchical Recognition of Human Activities Interacting with Objects. CVPR 2007 - [c6]Michael S. Ryoo, Jake K. Aggarwal:
Robust Human-Computer Interaction System Guiding a User by Providing Feedback. IJCAI 2007: 2850-2855 - 2006
- [c5]Michael S. Ryoo, J. K. Aggarwal:
Recognition of Composite Human Activities through Context-Free Grammar Based Representation. CVPR (2) 2006: 1709-1718 - [c4]Michael S. Ryoo, J. K. Aggarwal:
Semantic Understanding of Continued and Recursive Human Activities. ICPR (1) 2006: 379-382 - 2005
- [c3]Michael S. Ryoo, Yongho Seo, Hye-Won Jung, Hyun Seung Yang:
Affective Dialogue Communication System with Emotional Memories for Humanoid Robots. ACII 2005: 819-827 - [c2]David Pardoe, Michael S. Ryoo, Risto Miikkulainen:
Evolving neural network ensembles for control problems. GECCO 2005: 1379-1384 - 2004
- [c1]Hye-Won Jung, Yongho Seo, Michael S. Ryoo, Hyun Seung Yang:
Affective communication system with multimodality for a humanoid robot, AMI. Humanoids 2004: 690-706 - no results
Coauthor Index
Jake K. Aggarwal
aka: J. K. Aggarwal
aka: J. K. Aggarwal
Krzysztof Choromanski
aka: Krzysztof Marcin Choromanski
aka: Krzysztof Marcin Choromanski
[c102] [i77] [i67] [c76] [i59] [c71] [c70] [c69] [c67] [c64] [i51] [i50] [i49] [i48] [i47] [i45] [j14] [j13] [c63] [c62] [c61] [c60] [c59] [c57] [c56] [c55] [i36] [i34] [i33] [i32] [i31] [c54] [c53] [c52] [c50] [c49] [c47] [i28] [i27] [i26] [i25] [i24] [i23] [c44] [c43] [c42] [i20] [i17] [i16] [i15] [i14] [i13] [c38] [i7] [i4]
no results
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