Affective communication system with multimodality for a humanoid robot, AMI. - Hye-Won Jung; Yongho Seo; Michael S. Ryoo; Hyun Seung Yang (Humanoids, 2004)

Affective Dialogue Communication System with Emotional Memories for Humanoid Robots. - Michael S. Ryoo; Yongho Seo; Hye-Won Jung; Hyun Seung Yang (ACII, 2005)

Evolving neural network ensembles for control problems. - David Pardoe; Michael S. Ryoo; Risto Miikkulainen (GECCO, 2005)

Recognition of Composite Human Activities through Context-Free Grammar Based Representation. - Michael S. Ryoo; J. K. Aggarwal (CVPR (2), 2006)

Semantic Understanding of Continued and Recursive Human Activities. - Michael S. Ryoo; J. K. Aggarwal (ICPR (1), 2006)

Detection of abandoned objects in crowded environments. - Medha Bhargava; Chia-Chih Chen; Michael S. Ryoo; Jake K. Aggarwal (AVSS, 2007)

Real-time detection of illegally parked vehicles using 1-D transformation. - Jong Taek Lee; Michael S. Ryoo; Matthew Riley; Jake K. Aggarwal (AVSS, 2007)

Hierarchical Recognition of Human Activities Interacting with Objects. - Michael S. Ryoo; J. K. Aggarwal (CVPR, 2007)

Robust Human-Computer Interaction System Guiding a User by Providing Feedback. - Michael S. Ryoo; Jake K. Aggarwal (IJCAI, 2007)

Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects. - Michael S. Ryoo; Jake K. Aggarwal (CVPR, 2008)

Human activities: Handling uncertainties using fuzzy time intervals. - Michael S. Ryoo; Jake K. Aggarwal (ICPR, 2008)

Stochastic representation and recognition of high-level group activities: Describing structural uncertainties in human activities. - Michael S. Ryoo; Jake K. Aggarwal (CVPR Workshops, 2009)

Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities. - Michael S. Ryoo; Jake K. Aggarwal (ICCV, 2009)

Semantic Representation and Recognition of Continued and Recursive Human Activities. - Michael S. Ryoo; Jake K. Aggarwal (Int. J. Comput. Vis., 2009)

Detection of object abandonment using temporal logic. - Medha Bhargava; Chia-Chih Chen; Michael S. Ryoo; Jake K. Aggarwal (Mach. Vis. Appl., 2009)

Real-Time Illegal Parking Detection in Outdoor Environments Using 1-D Transformation. - Jong Taek Lee; Michael S. Ryoo; Matthew Riley; J. K. Aggarwal (IEEE Trans. Circuits Syst. Video Technol., 2009)

Video scene analysis of interactions between humans and vehicles using event context. - Michael S. Ryoo; Jong Taek Lee; Jake K. Aggarwal (CIVR, 2010)

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 (ICPR Contests, 2010)

A task-driven intelligent workspace system to provide guidance feedback. - Michael S. Ryoo; Kristen Grauman; Jake K. Aggarwal (Comput. Vis. Image Underst., 2010)

Human activity prediction: Early recognition of ongoing activities from streaming videos. - Michael S. Ryoo (ICCV, 2011)

Interactive learning of human activities using active video composition. - Michael S. Ryoo (ICCV Workshops, 2011)

Background-aware pedestrian/vehicle detection system for driving environments. - Ji Hoon Joung; Michael S. Ryoo; Sunglok Choi; Wonpil Yu; Heesung Chae (ITSC, 2011)

Compensating for visually missing features: Scale adaptive recognition of objects using probabilistic voting. - Michael S. Ryoo; Ji Hoon Joung; Wonpil Yu (URAI, 2011)

Personal driving diary: Constructing a video archive of everyday driving events. - Michael S. Ryoo; Jae-Yeong Lee; Ji Hoon Joung; Sunglok Choi; Wonpil Yu (WACV, 2011)

One video is sufficient? Human activity recognition using active video composition. - Michael S. Ryoo; Wonpil Yu (WACV, 2011)

Human activity analysis: A review. - J. K. Aggarwal; Michael S. Ryoo (ACM Comput. Surv., 2011)

Stochastic Representation and Recognition of High-Level Group Activities. - Michael S. Ryoo; J. K. Aggarwal (Int. J. Comput. Vis., 2011)

Reliable object detection and segmentation using inpainting. - Ji Hoon Joung; Michael S. Ryoo; Sunglok Choi; Sung-Rak Kim (IROS, 2012)

Toward a unified framework of motion understanding. - J. K. Aggarwal; Michael S. Ryoo (Image Vis. Comput., 2012)

Recognizing Humans in Motion: Trajectory-based Aerial Video Analysis. - Yumi Iwashita; Michael S. Ryoo; Thomas J. Fuchs; Curtis Padgett (BMVC, 2013)

First-Person Activity Recognition: What Are They Doing to Me? - Michael S. Ryoo; Larry H. Matthies (CVPR, 2013)

Personal driving diary: Automated recognition of driving events from first-person videos. - Michael S. Ryoo; Sunglok Choi; Ji Hoon Joung; Jae-Yeong Lee; Wonpil Yu (Comput. Vis. Image Underst., 2013)

An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision. - Steve Mann; Kris M. Kitani; Yong Jae Lee; Michael S. Ryoo; Alireza Fathi (CVPR Workshops, 2014)

First-Person Animal Activity Recognition from Egocentric Videos. - Yumi Iwashita; Asamichi Takamine; Ryo Kurazume; Michael S. Ryoo (ICPR, 2014)

Early Recognition of Human Activities from First-Person Videos Using Onset Representations. - Michael S. Ryoo; Thomas J. Fuchs; Lu Xia; J. K. Aggarwal; Larry H. Matthies (CoRR, 2014)

Pooled motion features for first-person videos. - Michael S. Ryoo; Brandon Rothrock; Larry H. Matthies (CVPR, 2015)

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 (HRI, 2015)

Robot-centric Activity Recognition from First-Person RGB-D Videos. - Lu Xia; Ilaria Gori; Jake K. Aggarwal; Michael S. Ryoo (WACV, 2015)

Building Unified Human Descriptors For Multi-Type Activity Recognition. - Ilaria Gori; J. K. Aggarwal; Michael S. Ryoo (CoRR, 2015)

Learning Social Affordance for Human-Robot Interaction. - Tianmin Shu; Michael S. Ryoo; Song-Chun Zhu (IJCAI, 2016)

Temporal attention filters for human activity recognition in videos. - A. J. Piergiovanni; Chenyou Fan; Michael S. Ryoo (CoRR, 2016)

Privacy-Preserving Egocentric Activity Recognition from Extreme Low Resolution. - Michael S. Ryoo; Brandon Rothrock; Charles Fleming (CoRR, 2016)

First-Person Activity Recognition: Feature, Temporal Structure, and Prediction. - Michael S. Ryoo; Larry H. Matthies (Int. J. Comput. Vis., 2016)

Multitype Activity Recognition in Robot-Centric Scenarios. - Ilaria Gori; J. K. Aggarwal; Larry H. Matthies; Michael S. Ryoo (IEEE Robotics Autom. Lett., 2016)

Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters. - A. J. Piergiovanni; Chenyou Fan; Michael S. Ryoo (AAAI, 2017)

Privacy-Preserving Human Activity Recognition from Extreme Low Resolution. - Michael S. Ryoo; Brandon Rothrock; Charles Fleming; Hyun Jong Yang (AAAI, 2017)

Identifying First-Person Camera Wearers in Third-Person Videos. - Chenyou Fan; Jangwon Lee 002; Mingze Xu; Krishna Kumar Singh; Yong Jae Lee; David J. Crandall; Michael S. Ryoo (CVPR, 2017)

A holistic approach to interpreting human states in smart environments providing high quality of life. - Adrian Stoica; Yumi Iwashita; Christopher Assad; Michael S. Ryoo; Gareth Howells 001 (EST, 2017)

Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions. - Tianmin Shu; Xiaofeng Gao 002; Michael S. Ryoo; Song-Chun Zhu (ICRA, 2017)

Multi-Type Activity Recognition from a Robot's Viewpoint. - Ilaria Gori; J. K. Aggarwal; Larry H. Matthies; Michael S. Ryoo (IJCAI, 2017)

Learning robot activities from first-person human videos using convolutional future regression. - Jangwon Lee 002; Michael S. Ryoo (IROS, 2017)

Forecasting Hand and Object Locations in Future Frames. - Chenyou Fan; Jangwon Lee 002; Michael S. Ryoo (CoRR, 2017)

Extreme Low Resolution Activity Recognition With Multi-Siamese Embedding Learning. - Michael S. Ryoo; Kiyoon Kim; Hyun Jong Yang (AAAI, 2018)

Real-Time Image Recognition Using Collaborative IoT Devices. - Ramyad Hadidi; Jiashen Cao; Matthew Woodward; Michael S. Ryoo; Hyesoon Kim (ReQuEST@ASPLOS, 2018)

Learning Latent Super-Events to Detect Multiple Activities in Videos. - A. J. Piergiovanni; Michael S. Ryoo (CVPR, 2018)

Fine-Grained Activity Recognition in Baseball Videos. - A. J. Piergiovanni; Michael S. Ryoo (CVPR Workshops, 2018)

Action-Conditioned Convolutional Future Regression Models for Robot Imitation Learning. - Alan Wu; A. J. Piergiovanni; Michael S. Ryoo (CVPR Workshops, 2018)

Forecasting Hands and Objects in Future Frames. - Chenyou Fan; Jangwon Lee 002; Michael S. Ryoo (ECCV Workshops (3), 2018)

Learning to Anonymize Faces for Privacy Preserving Action Detection. - Zhongzheng Ren; Yong Jae Lee; Michael S. Ryoo (ECCV (1), 2018)

Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos. - Mingze Xu; Chenyou Fan; Yuchen Wang; Michael S. Ryoo; David J. Crandall (ECCV (1), 2018)

Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices. - Ramyad Hadidi; Jiashen Cao; Matthew Woodward; Michael S. Ryoo; Hyesoon Kim (CoRR, 2018)

Activity Detection with Latent Sub-event Hierarchy Learning. - A. J. Piergiovanni; Michael S. Ryoo (CoRR, 2018)

Learning Shared Multimodal Embeddings with Unpaired Data. - A. J. Piergiovanni; Michael S. Ryoo (CoRR, 2018)

Distributed Perception by Collaborative Robots. - Ramyad Hadidi; Jiashen Cao; Matthew Woodward; Michael S. Ryoo; Hyesoon Kim (IEEE Robotics Autom. Lett., 2018)

Model-based Behavioral Cloning with Future Image Similarity Learning. - Alan Wu; A. J. Piergiovanni; Michael S. Ryoo (CoRL, 2019)

Representation Flow for Action Recognition. - A. J. Piergiovanni; Michael S. Ryoo (CVPR, 2019)

Early Detection of Injuries in MLB Pitchers From Video. - A. J. Piergiovanni; Michael S. Ryoo (CVPR Workshops, 2019)

Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing. - Ramyad Hadidi; Jiashen Cao; Michael S. Ryoo; Hyesoon Kim (DAC, 2019)

Evolving Space-Time Neural Architectures for Videos. - A. J. Piergiovanni; Anelia Angelova; Alexander Toshev; Michael S. Ryoo (ICCV, 2019)

Temporal Gaussian Mixture Layer for Videos. - A. J. Piergiovanni; Michael S. Ryoo (ICML, 2019)

Privacy-Preserving Robot Vision with Anonymized Faces by Extreme Low Resolution. - Myeung Un Kim; Harim Lee; Hyun Jong Yang; Michael S. Ryoo (IROS, 2019)

Learning Real-World Robot Policies by Dreaming. - A. J. Piergiovanni; Alan Wu; Michael S. Ryoo (IROS, 2019)

Collaborative Execution of Deep Neural Networks on Internet of Things Devices. - Ramyad Hadidi; Jiashen Cao; Michael S. Ryoo; Hyesoon Kim (CoRR, 2019)

Learning Differentiable Grammars for Continuous Data. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo (CoRR, 2019)

Evolving Losses for Unlabeled Video Representation Learning. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo (CoRR, 2019)

Tiny Video Networks. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo (CoRR, 2019)

Differentiable Grammars for Videos. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo (AAAI, 2020)

Evolving Losses for Unsupervised Video Representation Learning. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo (CVPR, 2020)

Password-Conditioned Anonymization and Deanonymization with Face Identity Transformers. - Xiuye Gu; Weixin Luo; Michael S. Ryoo; Yong Jae Lee (ECCV (23), 2020)

Adversarial Generative Grammars for Human Activity Prediction. - A. J. Piergiovanni; Anelia Angelova; Alexander Toshev; Michael S. Ryoo (ECCV (2), 2020)

AssembleNet++: Assembling Modality Representations via Attention Connections. - Michael S. Ryoo; A. J. Piergiovanni; Juhana Kangaspunta; Anelia Angelova (ECCV (20), 2020)

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 (ECCV (8), 2020)

AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures. - Michael S. Ryoo; A. J. Piergiovanni; Mingxing Tan; Anelia Angelova (ICLR, 2020)

AViD Dataset: Anonymized Videos from Diverse Countries. - A. J. Piergiovanni; Michael S. Ryoo (NeurIPS, 2020)

Learning Multimodal Representations for Unseen Activities. - A. J. Piergiovanni; Michael S. Ryoo (WACV, 2020)

Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution. - Ramyad Hadidi; Bahar Asgari; Jiashen Cao; Younmin Bae; Hyojong Kim; Michael S. Ryoo; Hyesoon Kim (CoRR, 2020)

Reducing Inference Latency with Concurrent Architectures for Image Recognition. - Ramyad Hadidi; Jiashen Cao; Michael S. Ryoo; Hyesoon Kim (CoRR, 2020)

Model-Based Robot Imitation with Future Image Similarity. - Alan Wu; A. J. Piergiovanni; Michael S. Ryoo (Int. J. Comput. Vis., 2020)

Correction to: Model-Based Robot Imitation with Future Image Similarity. - Alan Wu; A. J. Piergiovanni; Michael S. Ryoo (Int. J. Comput. Vis., 2020)

Toward Collaborative Inferencing of Deep Neural Networks on Internet-of-Things Devices. - Ramyad Hadidi; Jiashen Cao; Michael S. Ryoo; Hyesoon Kim (IEEE Internet Things J., 2020)

Unsupervised Discovery of Actions in Instructional Videos. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo; Irfan Essa (BMVC, 2021)

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

Adaptive Intermediate Representations for Video Understanding. - Juhana Kangaspunta; A. J. Piergiovanni; Rico Jonschkowski; Michael S. Ryoo; Anelia Angelova (CVPR Workshops, 2021)

Recognizing Actions in Videos From Unseen Viewpoints. - A. J. Piergiovanni; Michael S. Ryoo (CVPR, 2021)

4D-Net for Learned Multi-Modal Alignment. - A. J. Piergiovanni; Vincent Casser; Michael S. Ryoo; Anelia Angelova (ICCV, 2021)

Visionary: Vision architecture discovery for robot learning. - Iretiayo Akinola; Anelia Angelova; Yao Lu 006; Yevgen Chebotar; Dmitry Kalashnikov; Jacob Varley; Julian Ibarz; Michael S. Ryoo (ICRA, 2021)

Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning. - Jinghuan Shang; Michael S. Ryoo (IROS, 2021)

TokenLearner: Adaptive Space-Time Tokenization for Videos. - Michael S. Ryoo; A. J. Piergiovanni; Anurag Arnab; Mostafa Dehghani 001; Anelia Angelova (NeurIPS, 2021)

Unsupervised Action Segmentation for Instructional Videos. - A. J. Piergiovanni; Anelia Angelova; Michael S. Ryoo; Irfan A. Essa (CoRR, 2021)

TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? - Michael S. Ryoo; A. J. Piergiovanni; Anurag Arnab; Mostafa Dehghani 001; Anelia Angelova (CoRR, 2021)

StARformer: Transformer with State-Action-Reward Representations. - Jinghuan Shang; Michael S. Ryoo (CoRR, 2021)

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

STC-mix: Space, Time, Channel mixing for Self-supervised Video Representation. - Srijan Das; Michael S. Ryoo (CoRR, 2021)

TRITON: Neural Neural Textures for Better Sim2Real. - Ryan D. Burgert; Jinghuan Shang; Xiang Li 109; Michael S. Ryoo (CoRL, 2022)

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

Self-supervised Video Transformer. - Kanchana Ranasinghe; Muzammal Naseer; Salman Khan 001; Fahad Shahbaz Khan; Michael S. Ryoo (CVPR, 2022)

Video Question Answering with Iterative Video-Text Co-tokenization. - A. J. Piergiovanni; Kairo Morton; Weicheng Kuo; Michael S. Ryoo; Anelia Angelova (ECCV (36), 2022)

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

Hybrid Random Features. - Krzysztof Marcin Choromanski; Han Lin; Haoxian Chen 002; Arijit Sehanobish; Yuanzhe Ma; Deepali Jain; Jake Varley; Andy Zeng 001; Michael S. Ryoo; Valerii Likhosherstov; Dmitry Kalashnikov; Vikas Sindhwani; et al. (ICLR, 2022)

Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? - Xiang Li 109; Jinghuan Shang; Srijan Das; Michael S. Ryoo (NeurIPS, 2022)

Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space. - Jinghuan Shang; Srijan Das; Michael S. Ryoo (NeurIPS, 2022)

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. - Andy Zeng 001; Adrian Wong; Stefan Welker; Krzysztof Choromanski; Federico Tombari; Aveek Purohit; Michael S. Ryoo; Vikas Sindhwani; Johnny Lee; Vincent Vanhoucke; Pete Florence (CoRR, 2022)

Neural Neural Textures Make Sim2Real Consistent. - Ryan D. Burgert; Jinghuan Shang; Xiang Li 109; Michael S. Ryoo (CoRR, 2022)

Video + CLIP Baseline for Ego4D Long-term Action Anticipation. - Srijan Das; Michael S. Ryoo (CoRR, 2022)

Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors. - Ryan D. Burgert; Kanchana Ranasinghe; Xiang Li 109; Michael S. Ryoo (CoRR, 2022)

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

Attributes-Aware Network for Temporal Action Detection. - Rui Dai 001; Srijan Das; Michael S. Ryoo; François Brémond (BMVC, 2023)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. - Brianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu 010; Ted Xiao; Fei Xia 002; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; et al. (CoRL, 2023)

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

Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge. - Ramyad Hadidi; Jiashen Cao; Michael S. Ryoo; Hyesoon Kim (EDGE, 2023)

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. - Andy Zeng 001; Maria Attarian; Brian Ichter; Krzysztof Marcin Choromanski; Adrian Wong; Stefan Welker; Federico Tombari; Aveek Purohit; Michael S. Ryoo; Vikas Sindhwani; Johnny Lee; Vincent Vanhoucke; et al. (ICLR, 2023)

Open-vocabulary Queryable Scene Representations for Real World Planning. - Boyuan Chen 003; Fei Xia 002; Brian Ichter; Kanishka Rao; Keerthana Gopalakrishnan; Michael S. Ryoo; Austin Stone; Daniel Kappler (ICRA, 2023)

Energy-Based Models for Cross-Modal Localization using Convolutional Transformers. - Alan Wu; Michael S. Ryoo (ICRA, 2023)

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

Cross-modal Manifold Cutmix for Self-supervised Video Representation Learning. - Srijan Das; Michael S. Ryoo (MVA, 2023)

Language-based Action Concept Spaces Improve Video Self-Supervised Learning. - Kanchana Ranasinghe; Michael S. Ryoo (NeurIPS, 2023)

Active Vision Reinforcement Learning under Limited Visual Observability. - Jinghuan Shang; Michael S. Ryoo (NeurIPS, 2023)

RT-1: Robotics Transformer for Real-World Control at Scale. - Anthony Brohan; Noah Brown; Justice Carbajal; Yevgen Chebotar; Joseph Dabis; Chelsea Finn; Keerthana Gopalakrishnan; Karol Hausman; Alexander Herzog; Jasmine Hsu; Julian Ibarz; Brian Ichter; et al. (Robotics: Science and Systems, 2023)

ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints. - Srijan Das; Michael S. Ryoo (WACV, 2023)

Active Reinforcement Learning under Limited Visual Observability. - Jinghuan Shang; Michael S. Ryoo (CoRR, 2023)

AAN: Attributes-Aware Network for Temporal Action Detection. - Rui Dai 001; Srijan Das; Michael S. Ryoo; François Brémond (CoRR, 2023)

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

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 (CVPR, 2024)

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

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 (CVPR, 2024)

Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. - Kanchana Ranasinghe; Satya Narayan Shukla; Omid Poursaeed; Michael S. Ryoo; Tsung-Yu Lin (CVPR, 2024)

CoPT: Unsupervised Domain Adaptive Segmentation Using Domain-Agnostic Text Embeddings. - Cristina Mata; Kanchana Ranasinghe; Michael S. Ryoo (ECCV (62), 2024)

Image Translation with Kernel Prediction Networks for Semantic Segmentation. - Cristina Mata; Michael S. Ryoo; Henrik Turbell (ECCV Workshops (18), 2024)

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 090; Senthil Purushwalkam; Le Xue; et al. (ECCV Workshops (5), 2024)

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 006; Frederick Liu; Vikas Sindhwani; Quan Vuong; Tamás Sarlós; Ken Oslund; et al. (ICRA, 2024)

Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning. - Xiang Li 109; Varun Belagali; Jinghuan Shang; Michael S. Ryoo (ICRA, 2024)

Diffusion Illusions: Hiding Images in Plain Sight. - Ryan D. Burgert; Xiang Li 109; Abe Leite; Kanchana Ranasinghe; Michael S. Ryoo (SIGGRAPH (Conference Paper Track), 2024)

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

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 109; Abhijit Das 001; Michael S. Ryoo (WACV, 2024)

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

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

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. - Le Xue; Manli Shu; Anas Awadalla; Jun Wang 090; An Yan; Senthil Purushwalkam; Honglu Zhou; Viraj Prabhu; Yutong Dai 002; Michael S. Ryoo; Shrikant Kendre; Jieyu Zhang 001; et al. (CoRR, 2024)

xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs. - Michael S. Ryoo; Honglu Zhou; Shrikant Kendre; Can Qin; Le Xue; Manli Shu; Silvio Savarese; Ran Xu 001; Caiming Xiong; Juan Carlos Niebles (CoRR, 2024)

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

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning. - A. J. Piergiovanni; Dahun Kim; Michael S. Ryoo; Isaac Noble; Anelia Angelova (CoRR, 2024)

LatentCRF: Continuous CRF for Efficient Latent Diffusion. - Kanchana Ranasinghe; Sadeep Jayasumana; Andreas Veit; Ayan Chakrabarti; Daniel Glasner; Michael S. Ryoo; Srikumar Ramalingam; Sanjiv Kumar (CoRR, 2024)

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 014; et al. (ACL (Findings), 2025)

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

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; et al. (CVPR, 2025)

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

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

VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making. - Jake Grigsby; Yuke Zhu; Michael S. Ryoo; Juan Carlos Niebles (CoRR, 2025)

Pixel Motion as Universal Representation for Robot Control. - Kanchana Ranasinghe; Xiang Li 109; Cristina Mata; Jongwoo Park 003; Michael S. Ryoo (CoRR, 2025)

LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. - Thai Hoang; Kung-Hsiang Huang; Shirley Kokane; Jianguo Zhang 005; Zuxin Liu; Ming Zhu; Jake Grigsby; Tian Lan 006; Michael S. Ryoo; Chien-Sheng Wu; Shelby Heinecke; Huan Wang 014; et al. (CoRR, 2025)