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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
- 2023
[c80]Srijan Das, Michael S. Ryoo:
ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints. WACV 2023: 5562-5572- [i65]Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo:
VicTR: Video-conditioned Text Representations for Activity Recognition. CoRR abs/2304.02560 (2023) - 2022
- [c79]Ryan 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 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 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 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)
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.