Upgrading Design Systems. - Sarosh Talukdar; James M. Rehg; Rob Woodbury; Alberto Elfes (AAAI, 1988)

Visual tracking with deformation models. - James M. Rehg; Andrew P. Witkin (ICRA, 1991)

A Bayesian Multiple Hypothesis Approach to Contour Grouping. - Ingemar J. Cox; James M. Rehg; Sunita L. Hingorani (ECCV, 1992)

Grouping Edges: An Efficient Bayesian Multiple Hypothesis Approach. - Ingemar J. Cox; James M. Rehg; Sunita L. Hingorani; Matthew L. Miller (Partitioning Data Sets, 1993)

A Bayesian multiple-hypothesis approach to edge grouping and contour segmentation. - Ingemar J. Cox; James M. Rehg; Sunita L. Hingorani (Int. J. Comput. Vis., 1993)

Visual Tracking of High DOF Articulated Structures: an Application to Human Hand Tracking. - James M. Rehg; Takeo Kanade (ECCV (2), 1994)

Model-Based Tracking of Self-Occluding Articulated Objects. - James M. Rehg; Takeo Kanade (ICCV, 1995)

Vision for a smart kiosk. - James M. Rehg; Maria Loughlin; Keith Waters (CVPR, 1997)

Analyzing Articulated Motion Using Expectation-Maximization. - Henry A. Rowley; James M. Rehg (CVPR, 1997)

Singularity Analysis for Articulated Object Tracking. - Daniel D. Morris; James M. Rehg (CVPR, 1998)

Stampede: A Programming System for Emerging Scalable Interactive Multimedia Applications. - Rishiyur S. Nikhil; Umakishore Ramachandran; James M. Rehg; Robert H. Halstead Jr.; Christopher F. Joerg; Leonidas I. Kontothanassis (LCPC, 1998)

A Multiple Hypothesis Approach to Figure Tracking. - Tat-Jen Cham; James M. Rehg (CVPR, 1999)

Vision-Based Speaker Detection Using Bayesian Networks. - James M. Rehg; Kevin P. Murphy; Paul W. Fieguth (CVPR, 1999)

Dynamic Feature Ordering for Efficient Registration. - Tat-Jen Cham; James M. Rehg (ICCV, 1999)

A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models. - Vladimir Pavlovic 001; James M. Rehg; Tat-Jen Cham; Kevin P. Murphy (ICCV, 1999)

Space-Time Memory: A Parallel Programming Abstraction for Interactive Multimedia Applications. - Umakishore Ramachandran; Rishiyur S. Nikhil; Nissim Harel; James M. Rehg; Kathleen Knobe (PPoPP, 1999)

Scheduling Constrained Dynamic Applications on Clusters. - Kathleen Knobe; James M. Rehg; Arun Chauhan 001; Rishiyur S. Nikhil; Umakishore Ramachandran (SC, 1999)

Integrated task and data parallel support for dynamic applications. - James M. Rehg; Kathleen Knobe; Umakishore Ramachandran; Rishiyur S. Nikhil; Arun Chauhan 001 (Sci. Program., 1999)

Impact of Dynamic Model Learning on Classification of Human Motion. - Vladimir Pavlovic 001; James M. Rehg (CVPR, 2000)

Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks. - Vladimir Pavlovic 001; James M. Rehg; Ashutosh Garg; Thomas S. Huang (CVPR, 2000)

Audio-Visual Speaker Detection Using Dynamic Bayesian Networks. - Ashutosh Garg; Vladimir Pavlovic 001; James M. Rehg (FG, 2000)

A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models. - Vladimir Pavlovic 001; James M. Rehg; Tat-Jen Cham (HSCC, 2000)

Video Editing Using Figure Tracking and Image-Based Rendering. - James M. Rehg; Sing Bing Kang; Tat-Jen Cham (ICIP, 2000)

Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks. - Vladimir Pavlovic 001; Ashutosh Garg; James M. Rehg (ICMI, 2000)

Learning Switching Linear Models of Human Motion. - Vladimir Pavlovic 001; James M. Rehg; John MacCormick (NIPS, 2000)

Reconstruction of 3-D Figure Motion from 2-D Correspondences. - David E. DiFranco; Tat-Jen Cham; James M. Rehg (CVPR (1), 2001)

Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations. - Rahul Sukthankar; Tat-Jen Cham; Gita Sukthankar; James M. Rehg; David Hsu; Thomas Leung (ICCV, 2001)

A Compilation Framework for Power and Energy Management on Mobile Computers. - Ulrich Kremer; Jamey Hicks; James M. Rehg (LCPC, 2001)

Projected light displays using visual feedback. - James M. Rehg; Matthew Flagg; Tat-Jen Cham; Rahul Sukthankar; Gita Sukthankar (ICARCV, 2002)

Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection. - Tanzeem Choudhury; James M. Rehg; Vladimir Pavlovic 001; Alex Pentland (ICPR (3), 2002)

Statistical Color Models with Application to Skin Detection. - Michael J. Jones 001; James M. Rehg (Int. J. Comput. Vis., 2002)

Boosted Audio-Visual HMM for Speech Reading. - Pei Yin; Irfan A. Essa; James M. Rehg (AMFG, 2003)

Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays. - Tat-Jen Cham; James M. Rehg; Rahul Sukthankar; Gita Sukthankar (CVPR (2), 2003)

Learning a Rare Event Detection Cascade by Direct Feature Selection. - Jianxin Wu 001; James M. Rehg; Matthew D. Mullin (NIPS, 2003)

Ambiguities in Visual Tracking of Articulated Objects Using Two- and Three-Dimensional Models. - James M. Rehg; Daniel D. Morris; Takeo Kanade (Int. J. Robotics Res., 2003)

Guest Editors' Introduction to the Special Section on Graphical Models in Computer Vision. - James M. Rehg; Vladimir Pavlovic 001; Thomas S. Huang; William T. Freeman (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Boosted learning in dynamic Bayesian networks for multimodal speaker detection. - Ashutosh Garg; Vladimir Pavlovic 001; James M. Rehg (Proc. IEEE, 2003)

Stampede: A Cluster Programming Middleware for Interactive Stream-Oriented Applications. - Umakishore Ramachandran; Rishiyur S. Nikhil; James M. Rehg; Yavor Angelov; Arnab Paul; Sameer Adhikari; Kenneth M. Mackenzie; Nissim Harel; Kathleen Knobe (IEEE Trans. Parallel Distributed Syst., 2003)

A Flexible Projector-Camera System for Multi-Planar Displays. - Mark Ashdown; Matthew Flagg; Rahul Sukthankar; James M. Rehg (CVPR (2), 2004)

Automatic Cascade Training with Perturbation Bias. - Jie Sun 004; James M. Rehg; Aaron F. Bobick (CVPR (2), 2004)

Asymmetrically Boosted HMM for Speech Reading. - Pei Yin; Irfan A. Essa; James M. Rehg (CVPR (2), 2004)

State Management in Web Services. - Xiang Song; Namgeun Jeong; Phillip W. Hutto; Umakishore Ramachandran; James M. Rehg (FTDCS, 2004)

Active learning for automatic classification of software behavior. - James F. Bowring; James M. Rehg; Mary Jean Harrold (ISSTA, 2004)

Data-Driven MCMC for Learning and Inference in Switching Linear Dynamic Systems. - Sang Min Oh; James M. Rehg; Tucker R. Balch; Frank Dellaert (AAAI, 2005)

Virtual rear projection: do shadows matter? - Jay Summet; Gregory D. Abowd; Gregory M. Corso; James M. Rehg (CHI Extended Abstracts, 2005)

Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture. - Matthew Flagg; Jay Summet; James M. Rehg (CVPR Workshops, 2005)

Learning and Inference in Parametric Switching Linear Dynamical Systems. - Sang Min Oh; James M. Rehg; Tucker R. Balch; Frank Dellaert (ICCV, 2005)

Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes. - Yushi Jing; Vladimir Pavlovic 001; James M. Rehg (ICML, 2005)

Linear Asymmetric Classifier for cascade detectors. - Jianxin Wu 001; Matthew D. Mullin; James M. Rehg (ICML, 2005)

Using Sound Source Localization in a Home Environment. - Xuehai Bian; Gregory D. Abowd; James M. Rehg (Pervasive, 2005)

Experiences with optimizing two stream-based applications for cluster execution. - Yavor Angelov; Umakishore Ramachandran; Kenneth M. Mackenzie; James M. Rehg; Irfan A. Essa (J. Parallel Distributed Comput., 2005)

A data-driven approach to quantifying natural human motion. - Liu Ren; Alton Patrick; Alexei A. Efros; Jessica K. Hodgins; James M. Rehg (ACM Trans. Graph., 2005)

Towards the Optimal Training of Cascades of Boosted Ensembles. - S. Charles Brubaker; Jianxin Wu 001; Jie Sun 004; Matthew D. Mullin; James M. Rehg (Toward Category-Level Object Recognition, 2006)

Parameterized Duration Mmodeling for Switching Linear Dynamic Systems. - Sang Min Oh; James M. Rehg; Frank Dellaert (CVPR (2), 2006)

A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking. - Ping Wang 012; James M. Rehg (CVPR (1), 2006)

Towards Optimal Training of Cascaded Detectors. - S. Charles Brubaker; Matthew D. Mullin; James M. Rehg (ECCV (1), 2006)

Traversability Classification using Unsupervised on-line Visual Learning for Outdoor Robot Navigation. - Dongshin Kim 002; Jie Sun 004; Sang Min Oh; James M. Rehg; Aaron F. Bobick (ICRA, 2006)

GVU-PROCAMS: enabling novel projected interfaces. - Jay Summet; Matthew Flagg; James M. Rehg; Gregory D. Abowd; Neil Weston (ACM Multimedia, 2006)

Projector-guided painting. - Matthew Flagg; James M. Rehg (UIST, 2006)

Learning from examples in unstructured, outdoor environments. - Jie Sun 004; Tejas R. Mehta; David Wooden; Matthew Powers; James M. Rehg; Tucker R. Balch; Magnus Egerstedt (J. Field Robotics, 2006)

A Scalable Approach to Activity Recognition based on Object Use. - Jianxin Wu 001; Adebola Osuntogun; Tanzeem Choudhury; Matthai Philipose; James M. Rehg (ICCV, 2007)

Traversability classification for UGV navigation: a comparison of patch and superpixel representations. - Dongshin Kim 002; Sang Min Oh; James M. Rehg (IROS, 2007)

Fast Mean Shift with Accurate and Stable Convergence. - Ping Wang 012; Dongryeol Lee; Alexander G. Gray; James M. Rehg (AISTATS, 2007)

Shadow Elimination and Blinding Light Suppression for Interactive Projected Displays. - Jay Summet; Matthew Flagg; Tat-Jen Cham; James M. Rehg; Rahul Sukthankar (IEEE Trans. Vis. Comput. Graph., 2007)

Terrain Synthesis from Digital Elevation Models. - Howard Zhou; Jie Sun 004; Greg Turk; James M. Rehg (IEEE Trans. Vis. Comput. Graph., 2007)

Where am I: Place instance and category recognition using spatial PACT. - Jianxin Wu 001; James M. Rehg (CVPR, 2008)

Discriminative feature selection for hidden Markov models using Segmental Boosting. - Pei Yin; Irfan A. Essa; Thad Starner; James M. Rehg (ICASSP, 2008)

Detection of Unnatural Movement Using Epitomic Analysis. - Wooyoung Kim; James M. Rehg (ICMLA, 2008)

Spatially constrained segmentation of dermoscopy images. - Howard Zhou; Mei Chen; Le Zou; Richard Gass; Laura Ferris; Laura Drogowski; James M. Rehg (ISBI, 2008)

Feature-preserving artifact removal from dermoscopy images. - Howard Zhou; Mei Chen; Richard Gass; James M. Rehg; Laura Ferris; Jonhan Ho; Laura Drogowski (Image Processing, 2008)

On the Design of Cascades of Boosted Ensembles for Face Detection. - S. Charles Brubaker; Jianxin Wu 001; Jie Sun 004; Matthew D. Mullin; James M. Rehg (Int. J. Comput. Vis., 2008)

Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems. - Sang Min Oh; James M. Rehg; Tucker R. Balch; Frank Dellaert (Int. J. Comput. Vis., 2008)

Boosted Bayesian network classifiers. - Yushi Jing; Vladimir Pavlovic 001; James M. Rehg (Mach. Learn., 2008)

Fast Asymmetric Learning for Cascade Face Detection. - Jianxin Wu 001; S. Charles Brubaker; Matthew D. Mullin; James M. Rehg (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Learning the basic units in American Sign Language using discriminative segmental feature selection. - Pei Yin; Thad Starner; Harley Hamilton; Irfan A. Essa; James M. Rehg (ICASSP, 2009)

Quasi-periodic event analysis for social game retrieval. - Ping Wang 012; Gregory D. Abowd; James M. Rehg (ICCV, 2009)

Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel. - Jianxin Wu 001; James M. Rehg (ICCV, 2009)

Visual Place Categorization: Problem, dataset, and algorithm. - Jianxin Wu 001; Henrik I. Christensen; James M. Rehg (IROS, 2009)

Dermoscopic Interest Point Detector and Descriptor. - Howard Zhou; Mei Chen; James M. Rehg (ISBI, 2009)

Human video textures. - Matthew Flagg; Atsushi Nakazawa; Qiushuang Zhang; Sing Bing Kang; Young Kee Ryu; Irfan A. Essa; James M. Rehg (SI3D, 2009)

Motion Coherent Tracking with Multi-label MRF optimization. - David Tsai 002; Matthew Flagg; James M. Rehg (BMVC, 2010)

Temporal causality for the analysis of visual events. - Karthir Prabhakar; Sang Min Oh; Ping Wang 012; Gregory D. Abowd; James M. Rehg (CVPR, 2010)

Perceiving clutter and surfaces for object placement in indoor environments. - Martin J. Schuster; Jason Okerman; Hai Nguyen 003; James M. Rehg; Charles C. Kemp (Humanoids, 2010)

Exemplar-based segmentation of pigmented skin lesions from dermoscopy images. - Howard Zhou; James M. Rehg; Mei Chen (ISBI, 2010)

Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns. - Yu-Ying Liu; Mei Chen; Hiroshi Ishikawa 005; Gadi Wollstein; Joel S. Schuman; James M. Rehg (MICCAI (1), 2010)

Movie genre classification via scene categorization. - Howard Zhou; Tucker Hermans; Asmita V. Karandikar; James M. Rehg (ACM Multimedia, 2010)

AID-ME: Automatic identification of dressing failures through monitoring of patients and activity Evaluation. - Aleksandar Matic; Priyal Mehta; James M. Rehg; Venet Osmani; Oscar Mayora (PervasiveHealth, 2010)

Learning Visual Object Categories for Robot Affordance Prediction. - Jie Sun 004; Joshua L. Moore; Aaron F. Bobick; James M. Rehg (Int. J. Robotics Res., 2010)

Combining Self Training and Active Learning for Video Segmentation. - Alireza Fathi; Maria-Florina Balcan; Xiaofeng Ren; James M. Rehg (BMVC, 2011)

Learning to recognize objects in egocentric activities. - Alireza Fathi; Xiaofeng Ren; James M. Rehg (CVPR, 2011)

Understanding egocentric activities. - Alireza Fathi; Ali Farhadi; James M. Rehg (ICCV, 2011)

Large-scale image annotation using visual synset. - David Tsai 002; Yushi Jing; Yi Liu 054; Henry A. Rowley; Sergey Ioffe; James M. Rehg (ICCV, 2011)

Real-time human detection using contour cues. - Jianxin Wu 001; Christopher Geyer; James M. Rehg (ICRA, 2011)

Behavior Imaging: Using Computer Vision to Study Autism. - James M. Rehg (MVA, 2011)

Efficient and Effective Visual Codebook Generation Using Additive Kernels. - Jianxin Wu 001; Wei-Chian Tan; James M. Rehg (J. Mach. Learn. Res., 2011)

Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding. - Yu-Ying Liu; Mei Chen; Hiroshi Ishikawa 005; Gadi Wollstein; Joel S. Schuman; James M. Rehg (Medical Image Anal., 2011)

CENTRIST: A Visual Descriptor for Scene Categorization. - Jianxin Wu 001; James M. Rehg (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Social interactions: A first-person perspective. - Alireza Fathi; Jessica K. Hodgins; James M. Rehg (CVPR, 2012)

Learning sparse covariance patterns for natural scenes. - Liwei Wang 009; Yin Li 003; Jiaya Jia; Jian Sun 001; David P. Wipf; James M. Rehg (CVPR, 2012)

Learning to Recognize Daily Actions Using Gaze. - Alireza Fathi; Yin Li 003; James M. Rehg (ECCV (1), 2012)

Weakly Supervised Learning of Object Segmentations from Web-Scale Video. - Glenn Hartmann; Matthias Grundmann; Judy Hoffman; David Tsai 002; Vivek Kwatra; Omid Madani; Sudheendra Vijayanarasimhan; Irfan A. Essa; James M. Rehg; Rahul Sukthankar (ECCV Workshops (1), 2012)

Categorizing Turn-Taking Interactions. - Karthir Prabhakar; James M. Rehg (ECCV (5), 2012)

Detecting eye contact using wearable eye-tracking glasses. - Zhefan Ye; Yin Li 003; Alireza Fathi; Yi Han 005; Agata Rozga; Gregory D. Abowd; James M. Rehg (UbiComp, 2012)

Haptic classification and recognition of objects using a tactile sensing forearm. - Tapomayukh Bhattacharjee; James M. Rehg; Charles C. Kemp (IROS, 2012)

Guided pushing for object singulation. - Tucker Hermans; James M. Rehg; Aaron F. Bobick (IROS, 2012)

Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction. - Yu-Ying Liu; Hiroshi Ishikawa 005; Mei Chen; Gadi Wollstein; Joel S. Schuman; James M. Rehg (MICCAI (1), 2012)

Motion Coherent Tracking Using Multi-label MRF Optimization. - David Tsai 002; Matthew Flagg; Atsushi Nakazawa; James M. Rehg (Int. J. Comput. Vis., 2012)

An In Depth View of Saliency. - Arridhana Ciptadi; Tucker Hermans; James M. Rehg (BMVC, 2013)

Modeling Actions through State Changes. - Alireza Fathi; James M. Rehg (CVPR, 2013)

Decoding Children's Social Behavior. - James M. Rehg; Gregory D. Abowd; Agata Rozga; Mario Romero; Mark A. Clements; Stan Sclaroff; Irfan A. Essa; Opal Y. Ousley; Yin Li 003; Chanho Kim; Hrishikesh Rao 001; Jonathan C. Kim; et al. (CVPR, 2013)

Development of dog-like retrieving capability in a ground robot. - Douglas C. MacKenzie; Rahul Ashok; James M. Rehg; Gary Witus (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2013)

Learning to Predict Gaze in Egocentric Video. - Yin Li 003; Alireza Fathi; James M. Rehg (ICCV, 2013)

Video Segmentation by Tracking Many Figure-Ground Segments. - Fuxin Li; Taeyoung Kim; Ahmad Humayun; David Tsai 002; James M. Rehg (ICCV, 2013)

GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity. - Jia Xu 011; Vamsi K. Ithapu; Lopamudra Mukherjee; James M. Rehg; Vikas Singh (ICCV, 2013)

Learning stable pushing locations. - Tucker Hermans; Fuxin Li; James M. Rehg; Aaron F. Bobick (ICDL-EPIROB, 2013)

Behavior imaging and the study of autism. - James M. Rehg (ICMI, 2013)

Decoupling behavior, perception, and control for autonomous learning of affordances. - Tucker Hermans; James M. Rehg; Aaron F. Bobick (ICRA, 2013)

Longitudinal Modeling of Glaucoma Progression Using 2-Dimensional Continuous-Time Hidden Markov Model. - Yu-Ying Liu; Hiroshi Ishikawa 005; Mei Chen; Gadi Wollstein; Joel S. Schuman; James M. Rehg (MICCAI (2), 2013)

Finding people in depth: technical perspective. - James M. Rehg (Commun. ACM, 2013)

First International Symposium on Computer Behavioral Science (NII Shonan Meeting 2013-9). - Atsushi Nakazawa; James M. Rehg; Yoichi Sato 001; Akihiro Sugimoto (NII Shonan Meet. Rep., 2013)

${ rm C}^{4}$: A Real-Time Object Detection Framework. - Jianxin Wu 001; Nini Liu; Christopher Geyer; James M. Rehg (IEEE Trans. Image Process., 2013)

Learning Query-Specific Distance Functions for Large-Scale Web Image Search. - Yushi Jing; Michele Covell; David Tsai 002; James M. Rehg (IEEE Trans. Multim., 2013)

Video-Based Crowd Synthesis. - Matthew Flagg; James M. Rehg (IEEE Trans. Vis. Comput. Graph., 2013)

RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions. - Ahmad Humayun; Fuxin Li; James M. Rehg (CVPR, 2014)

The Secrets of Salient Object Segmentation. - Yin Li 003; Xiaodi Hou; Christof Koch; James M. Rehg; Alan L. Yuille (CVPR, 2014)

First International Workshop on Video Segmentation - Panel Discussion. - Thomas Brox; Fabio Galasso; Fuxin Li; James Matthew Rehg; Bernt Schiele (ECCV Workshops (4), 2014)

Movement Pattern Histogram for Action Recognition and Retrieval. - Arridhana Ciptadi; Matthew S. Goodwin; James M. Rehg (ECCV (2), 2014)

Joint Semantic Segmentation and 3D Reconstruction from Monocular Video. - Abhijit Kundu; Yin Li 003; Frank Dellaert; Fuxin Li; James M. Rehg (ECCV (6), 2014)

Learning to reach into the unknown: Selecting initial conditions when reaching in clutter. - Daehyung Park; Ariel Kapusta; You Keun Kim; James M. Rehg; Charles C. Kemp (IROS, 2014)

BioGlass: Physiological parameter estimation using a head-mounted wearable device. - Javier Hernandez; Yin Li 003; James M. Rehg; Rosalind W. Picard (MobiHealth, 2014)

Inferring Object Properties from Incidental Contact with a Tactile Sensing Forearm. - Tapomayukh Bhattacharjee; James M. Rehg; Charles C. Kemp (CoRR, 2014)

Behavioral Imaging and Autism. - James M. Rehg; Agata Rozga; Gregory D. Abowd; Matthew S. Goodwin (IEEE Pervasive Comput., 2014)

Combining acoustic and visual features to detect laughter in adults' speech. - Hrishikesh Rao 001; Zhefan Ye; Yin Li 003; Mark A. Clements; Agata Rozga; James M. Rehg (AVSP, 2015)

Delving into egocentric actions. - Yin Li 003; Zhefan Ye; James M. Rehg (CVPR, 2015)

Robust video segment proposals with painless occlusion handling. - Zhengyang Wu 003; Fuxin Li; Rahul Sukthankar; James M. Rehg (CVPR, 2015)

Gaze-enabled egocentric video summarization via constrained submodular maximization. - Jia Xu 011; Lopamudra Mukherjee; Yin Li 003; Jamieson Warner; James M. Rehg; Vikas Singh (CVPR, 2015)

Detecting bids for eye contact using a wearable camera. - Zhefan Ye; Yin Li 003; Yun Liu 013; Chanel Bridges; Agata Rozga; James M. Rehg (FG, 2015)

Behavioral imaging technology for modeling, analyzing, and visualizing social and communicative behavior. - James M. Rehg (UbiComp/ISWC Adjunct, 2015)

Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters. - Arridhana Ciptadi; James M. Rehg (ICCV, 2015)

The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals. - Ahmad Humayun; Fuxin Li; James M. Rehg (ICCV, 2015)

Multiple Hypothesis Tracking Revisited. - Chanho Kim; Fuxin Li; Arridhana Ciptadi; James M. Rehg (ICCV, 2015)

Real-life violent social interaction detection. - Paolo Rota; Nicola Conci; Nicu Sebe; James M. Rehg (ICIP, 2015)

Multi-scale perception and path planning on probabilistic obstacle maps. - Florian Hauer 001; Abhijit Kundu; James M. Rehg; Panagiotis Tsiotras (ICRA, 2015)

Combining tactile sensing and vision for rapid haptic mapping. - Tapomayukh Bhattacharjee; Ashwin A. Shenoi; Daehyung Park; James M. Rehg; Charles C. Kemp (IROS, 2015)

Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression. - Yu-Ying Liu; Shuang Li 002; Fuxin Li; Le Song; James M. Rehg (NIPS, 2015)

Center of excellence for mobile sensor data-to-knowledge (MD2K). - Santosh Kumar 001; Gregory D. Abowd; William T. Abraham; Mustafa al'Absi; J. Gayle Beck; Duen Horng Chau; Tyson Condie; David E. Conroy; Emre Ertin; Deborah Estrin; Deepak Ganesan; Cho Lam; et al. (J. Am. Medical Informatics Assoc., 2015)

Cardiac and Respiratory Parameter Estimation Using Head-mounted Motion-sensitive Sensors. - Javier Hernandez; Yin Li 003; James M. Rehg; Rosalind W. Picard (EAI Endorsed Trans. Pervasive Health Technol., 2015)

A Computational Exploration of Problem-Solving Strategies and Gaze Behaviors on the Block Design Task. - Maithilee Kunda; Mohamed El Banani; James M. Rehg (CogSci, 2016)

Advanced Machine Learning for Healthcare. - Jimeng Sun 001; Jim Rehg; Suchi Saria; Hua Xu; Eric P. Xing (CRI, 2016)

Unsupervised Learning of Edges. - Yin Li 003; Manohar Paluri; James M. Rehg; Piotr Dollár (CVPR, 2016)

EyeWear 2016: first workshop on eyeWear computing. - Andreas Bulling; Ozan Cakmakci; Kai Kunze; James M. Rehg (UbiComp Adjunct, 2016)

How everyday visual experience prepares the way for learning object names. - Elizabeth M. Clerkin; Elizabeth Hart; James M. Rehg; Chen Yu 001; Linda B. Smith (ICDL-EPIROB, 2016)

Aggressive driving with model predictive path integral control. - Grady Williams; Paul Drews; Brian Goldfain; James M. Rehg; Evangelos A. Theodorou (ICRA, 2016)

Eyewear Computing - Augmenting the Human with Head-mounted Wearable Assistants (Dagstuhl Seminar 16042). - Andreas Bulling; Ozan Cakmakci; Kai Kunze; James M. Rehg (Dagstuhl Reports, 2016)

Introduction to Part I: mHealth Applications and Tools. - Santosh Kumar 001; James M. Rehg; Susan A. Murphy (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Introduction to Part II: Sensors to mHealth Markers. - Santosh Kumar 001; James M. Rehg; Susan A. Murphy (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Learning Continuous-Time Hidden Markov Models for Event Data. - Yu-Ying Liu; Alexander Moreno; Shuang Li 002; Fuxin Li; Le Song; James M. Rehg (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Introduction to Part IV: Predictors to mHealth Interventions. - Susan A. Murphy; James M. Rehg; Santosh Kumar 001 (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Modeling Opportunities in mHealth Cyber-Physical Systems. - Wendy Nilsen; Emre Ertin; Eric B. Hekler; Santosh Kumar 001; Insup Lee 001; Rahul Mangharam; Misha Pavel; James M. Rehg; William T. Riley; Daniel E. Rivera; Donna Spruijt-Metz (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Introduction to Part III: Markers to mHealth Predictors. - James M. Rehg; Susan A. Murphy; Santosh Kumar 001 (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Scalable Image-based Search-and-Discovery. - Eunji Chong; Jaehoon Lee; Matthew K. Hong; James M. Rehg (CHI Extended Abstracts, 2017)

AF Classification from ECG Recording Using Feature Ensemble and Sparse Coding. - Bradley M. Whitaker; Muhammad Rizwan 001; Varol Burak Aydemir; James M. Rehg; David V. Anderson (CinC, 2017)

Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control. - Paul Drews; Grady Williams; Brian Goldfain; Evangelos A. Theodorou; James M. Rehg (CoRL, 2017)

Visual 3D tracking of child-adult social interactions. - Eunji Chong; Audrey Southerland; Abhijit Kundu; Rebecca M. Jones; Agata Rozga; James M. Rehg (ICDL-EPIROB, 2017)

iSurvive: An Interpretable, Event-time Prediction Model for mHealth. - Walter H. Dempsey; Alexander Moreno; Christy K. Scott; Michael L. Dennis; David H. Gustafson 001; Susan A. Murphy; James M. Rehg (ICML, 2017)

Iterative Machine Teaching. - Weiyang Liu; Bo Dai 001; Ahmad Humayun; Charlene Tay; Chen Yu 001; Linda B. Smith; James M. Rehg; Le Song (ICML, 2017)

Information theoretic MPC for model-based reinforcement learning. - Grady Williams; Nolan Wagener; Brian Goldfain; Paul Drews; James M. Rehg; Byron Boots; Evangelos A. Theodorou (ICRA, 2017)

First-Person Action Decomposition and Zero-Shot Learning. - Yun C. Zhang; Yin Li 003; James M. Rehg (WACV, 2017)

Parallel vision for perception and understanding of complex scenes: methods, framework, and perspectives. - Kunfeng Wang; Chao Gou; Nanning Zheng 001; James M. Rehg; Fei-Yue Wang 001 (Artif. Intell. Rev., 2017)

Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model. - Paul Drews; Grady Williams; Brian Goldfain; Evangelos A. Theodorou; James M. Rehg (CoRR, 2017)

Iterative Machine Teaching. - Weiyang Liu; Bo Dai 001; James M. Rehg; Le Song (CoRR, 2017)

Autonomous Racing with AutoRally Vehicles and Differential Games. - Grady Williams; Brian Goldfain; Paul Drews; James M. Rehg; Evangelos A. Theodorou (CoRR, 2017)

Noninvasive Corneal Image-Based Gaze Measurement System. - Eunji Chong; Christian Nitschke; Atsushi Nakazawa; Agata Rozga; James M. Rehg (CoRR, 2017)

Dockerface: an easy to install and use Faster R-CNN face detector in a Docker container. - Nataniel Ruiz; James M. Rehg (CoRR, 2017)

Towards Black-box Iterative Machine Teaching. - Weiyang Liu; Bo Dai 001; Xingguo Li; James M. Rehg; Le Song (CoRR, 2017)

Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment. - Eunji Chong; Katha Chanda; Zhefan Ye; Audrey Southerland; Nataniel Ruiz; Rebecca M. Jones; Agata Rozga; James M. Rehg (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K). - Santosh Kumar 001; Gregory D. Abowd; William T. Abraham; Mustafa al'Absi; Duen Horng Chau; Emre Ertin; Deborah Estrin; Deepak Ganesan; Timothy Hnat; Syed Monowar Hossain; Zachary G. Ives; Jacqueline Kerr; et al. (IEEE Pervasive Comput., 2017)

Use of position tracking to infer social structure in rhesus macaques. - Brian Hrolenok; Tucker Balch; David Byrd; Rebecca Roberts; Chanho Kim; James M. Rehg; Scott Gilliland; Kim Wallen (ACI, 2018)

3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare. - Abhijit Kundu; Yin Li 003; James M. Rehg (CVPR, 2018)

Decoupled Networks. - Weiyang Liu; Zhen Liu 019; Zhiding Yu; Bo Dai 001; Rongmei Lin; Yisen Wang 001; James M. Rehg; Le Song (CVPR, 2018)

Fine-Grained Head Pose Estimation Without Keypoints. - Nataniel Ruiz; Eunji Chong; James M. Rehg (CVPR Workshops, 2018)

Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency. - Eunji Chong; Nataniel Ruiz; Yongxin Wang 002; Yun Zhang 015; Agata Rozga; James M. Rehg (ECCV (5), 2018)

Multi-object Tracking with Neural Gating Using Bilinear LSTM. - Chanho Kim; Fuxin Li; James M. Rehg (ECCV (8), 2018)

In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video. - Yin Li 003; Miao Liu 007; James M. Rehg (ECCV (5), 2018)

Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation. - Zhaoyang Lv; Kihwan Kim; Alejandro J. Troccoli; Deqing Sun; James M. Rehg; Jan Kautz (ECCV (5), 2018)

Towards Black-box Iterative Machine Teaching. - Weiyang Liu; Bo Dai 001; Xingguo Li; Zhen Liu 019; James M. Rehg; Le Song (ICML, 2018)

Best Response Model Predictive Control for Agile Interactions Between Autonomous Ground Vehicles. - Grady Williams; Brian Goldfain; Paul Drews; James M. Rehg; Evangelos A. Theodorou (ICRA, 2018)

Robust Sampling Based Model Predictive Control with Sparse Objective Information. - Grady Williams; Brian Goldfain; Paul Drews; Kamil Saigol; James M. Rehg; Evangelos A. Theodorou (Robotics: Science and Systems, 2018)

AutoRally An open platform for aggressive autonomous driving. - Brian Goldfain; Paul Drews; Changxi You; Matthew Barulic; Orlin Velev; Panagiotis Tsiotras; James M. Rehg (CoRR, 2018)

Learning to Localize and Align Fine-Grained Actions to Sparse Instructions. - Meera Hahn; Nataniel Ruiz; Jean-Baptiste Alayrac; Ivan Laptev; James M. Rehg (CoRR, 2018)

Inferring Object Properties with a Tactile-Sensing Array Given Varying Joint Stiffness and Velocity. - Tapomayukh Bhattacharjee; James M. Rehg; Charles C. Kemp (Int. J. Humanoid Robotics, 2018)

Watching the TV Watchers. - Yun C. Zhang; James M. Rehg (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving. - Grady Williams; Paul Drews; Brian Goldfain; James M. Rehg; Evangelos A. Theodorou (IEEE Trans. Robotics, 2018)

Towards Accurate 3D Human Body Reconstruction from Silhouettes. - Brandon M. Smith 001; Visesh Chari; Amit Agrawal 002; James M. Rehg; Ram Sever (3DV, 2019)

Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control. - Grady R. Williams; Brian Goldfain; Keuntaek Lee; Jason Gibson; James M. Rehg; Evangelos A. Theodorou (CoRL, 2019)

Unsupervised 3D Pose Estimation With Geometric Self-Supervision. - Ching-Hang Chen; Ambrish Tyagi; Amit Agrawal 002; Dylan Drover; Rohith MV; Stefan Stojanov; James M. Rehg (CVPR, 2019)

Taking a Deeper Look at the Inverse Compositional Algorithm. - Zhaoyang Lv; Frank Dellaert; James M. Rehg; Andreas Geiger 001 (CVPR, 2019)

Incremental Object Learning From Contiguous Views. - Stefan Stojanov; Samarth Mishra; Ngoc Anh Thai; Nikhil Dhanda; Ahmad Humayun; Chen Yu 001; Linda B. Smith; James M. Rehg (CVPR, 2019)

Learning to Generate Synthetic Data via Compositing. - Shashank Tripathi; Siddhartha Chandra; Amit Agrawal 002; Ambrish Tyagi; James M. Rehg; Visesh Chari (CVPR, 2019)

A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM. - Supriya Nagesh; Alexander Moreno; Hiroshi Ishikawa 005; Gadi Wollstein; Joel S. Schuman; James M. Rehg (MLHC, 2019)

Neural Similarity Learning. - Weiyang Liu; Zhen Liu 019; James M. Rehg; Le Song (NeurIPS, 2019)

Action2Vec: A Crossmodal Embedding Approach to Action Learning. - Meera Hahn; Andrew Silva; James M. Rehg (CoRR, 2019)

Paying More Attention to Motion: Attention Distillation for Learning Video Representations. - Miao Liu 007; Xin Chen; Yun Zhang 015; Yin Li 003; James M. Rehg (CoRR, 2019)

Unsupervised 3D Pose Estimation with Geometric Self-Supervision. - Ching-Hang Chen; Ambrish Tyagi; Amit Agrawal 002; Dylan Drover; M. V. Rohith; Stefan Stojanov; James M. Rehg (CoRR, 2019)

Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics. - Grady Williams; Brian Goldfain; James M. Rehg; Evangelos A. Theodorou (CoRR, 2019)

Compressive Hyperspherical Energy Minimization. - Rongmei Lin; Weiyang Liu; Zhen Liu 019; Chen Feng 002; Zhiding Yu; James M. Rehg; Li Xiong 001; Le Song (CoRR, 2019)

Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity. - Miao Liu 007; Siyu Tang 001; Yin Li 003; James M. Rehg (CoRR, 2019)

Vision-Based High-Speed Driving With a Deep Dynamic Observer. - Paul Drews; Grady Williams; Brian Goldfain; Evangelos A. Theodorou; James M. Rehg (IEEE Robotics Autom. Lett., 2019)

Tripping through time: Efficient Localization of Activities in Videos. - Meera Hahn; Asim Kadav; James M. Rehg; Hans Peter Graf (BMVC, 2020)

Attention Distillation for Learning Video Representations. - Miao Liu 007; Xin Chen; Yun Zhang 015; Yin Li 003; James M. Rehg (BMVC, 2020)

Enhancing Cognitive Assessment through Multimodal Sensing: A Case Study Using the Block Design Test. - Seunghwan Cha; James Ainooson; Eunji Chong; Isabelle Soulières; James M. Rehg; Maithilee Kunda (CogSci, 2020)

Detecting Attended Visual Targets in Video. - Eunji Chong; Yongxin Wang 002; Nataniel Ruiz; James M. Rehg (CVPR, 2020)

Regularizing Neural Networks via Minimizing Hyperspherical Energy. - Rongmei Lin; Weiyang Liu; Zhen Liu 019; Chen Feng 002; Zhiding Yu; James M. Rehg; Li Xiong 001; Le Song (CVPR, 2020)

Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video. - Miao Liu 007; Siyu Tang 001; Yin Li 003; James M. Rehg (ECCV (1), 2020)

Where Are You? Localization from Embodied Dialog. - Meera Hahn; Jacob Krantz; Dhruv Batra; Devi Parikh; James M. Rehg; Stefan Lee; Peter Anderson (EMNLP (1), 2020)

A Robust Functional EM Algorithm for Incomplete Panel Count Data. - Alexander Moreno; Zhenke Wu; Jamie Yap; Cho Lam; David W. Wetter; Inbal Nahum-Shani; Walter H. Dempsey; James M. Rehg (NeurIPS, 2020)

A Functional EM Algorithm for Panel Count Data with Missing Counts. - Alexander Moreno; Zhenke Wu; Jamie Yap; David W. Wetter; Cho Lam; Inbal Nahum-Shani; Walter H. Dempsey; James M. Rehg (CoRR, 2020)

Orthogonal Over-Parameterized Training. - Weiyang Liu; Rongmei Lin; Zhen Liu 019; James M. Rehg; Li Xiong 001; Le Song (CoRR, 2020)

SmokingOpp: Detecting the Smoking 'Opportunity' Context Using Mobile Sensors. - Soujanya Chatterjee; Alexander Moreno; Steven Lloyd Lizotte; Sayma Akther; Emre Ertin; Christopher P. Fagundes; Cho Lam; James M. Rehg; Neng Wan; David W. Wetter; Santosh Kumar 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

SyncWISE: Window Induced Shift Estimation for Synchronization of Video and Accelerometry from Wearable Sensors. - Yun C. Zhang; Shibo Zhang; Miao Liu 007; Elyse R. Daly; Samuel L. Battalio; Santosh Kumar 001; Bonnie Spring; James M. Rehg; Nabil Alshurafa (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Classification of Decompensated Heart Failure From Clinical and Home Ballistocardiography. - Varol Burak Aydemir; Supriya Nagesh; Md Mobashir Hasan Shandhi; Joanna Fan; Liviu Klein; Mozziyar Etemadi; James Alex Heller; Omer T. Inan; James M. Rehg (IEEE Trans. Biomed. Eng., 2020)

Detecting Suspected Pump Thrombosis in Left Ventricular Assist Devices via Acoustic Analysis. - Beren Semiz; Sinan Hersek; Maziyar Baran Pouyan; Cynthia Partida; Leticia Blazquez-Arroyo; Van Selby; Georg Wieselthaler; James M. Rehg; Liviu Klein; Omer T. Inan (IEEE J. Biomed. Health Informatics, 2020)

4D Human Body Capture from Egocentric Video via 3D Scene Grounding. - Miao Liu 007; Dexin Yang; Yan Zhang 054; Zhaopeng Cui; James M. Rehg; Siyu Tang 001 (3DV, 2021)

3D Reconstruction of Novel Object Shapes from Single Images. - Anh Thai; Stefan Stojanov; Vijay Upadhya; James M. Rehg (3DV, 2021)

Discriminative Appearance Modeling With Multi-Track Pooling for Real-Time Multi-Object Tracking. - Chanho Kim; Fuxin Li; Mazen Alotaibi; James M. Rehg (CVPR, 2021)

Orthogonal Over-Parameterized Training. - Weiyang Liu; Rongmei Lin; Zhen Liu 019; James M. Rehg; Liam Paull; Li Xiong 001; Le Song; Adrian Weller (CVPR, 2021)

Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias. - Stefan Stojanov; Anh Thai; James M. Rehg (CVPR, 2021)

Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. - Keuntaek Lee; Bogdan I. Vlahov; Jason Gibson; James M. Rehg; Evangelos A. Theodorou (ICRA, 2021)

No RL, No Simulation: Learning to Navigate without Navigating. - Meera Hahn; Devendra Singh Chaplot; Shubham Tulsiani; Mustafa Mukadam; James M. Rehg; Abhinav Gupta 001 (NeurIPS, 2021)

Does Continual Learning = Catastrophic Forgetting? - Anh Thai; Stefan Stojanov; Isaac Rehg; James M. Rehg (CoRR, 2021)

Unsupervised Class-Incremental Learning Through Confusion. - Shivam Khare; Kun Cao; James M. Rehg (CoRR, 2021)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CoRR, 2021)

Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling. - Yu-Ying Liu; Alexander Moreno; Maxwell A. Xu; Shuang Li 002; Jena C. McDaniel; Nancy C. Brady; Agata Rozga; Fuxin Li; Le Song; James M. Rehg (CoRR, 2021)

Transformers for prompt-level EMA non-response prediction. - Supriya Nagesh; Alexander Moreno; Stephanie Marita Carpenter; Jamie Yap; Soujanya Chatterjee; Steven Lloyd Lizotte; Neng Wan; Santosh Kumar 001; Cho Lam; David W. Wetter; Inbal Nahum-Shani; James M. Rehg (CoRR, 2021)

Kernel Deformed Exponential Families for Sparse Continuous Attention. - Alexander Moreno; Supriya Nagesh; Zhenke Wu; Walter H. Dempsey; James M. Rehg (CoRR, 2021)

The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction. - Anh Thai; Stefan Stojanov; Zixuan Huang 001; James M. Rehg (3DV, 2022)

In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation. - Bolin Lai; Miao Liu 007; Fiona Ryan; James M. Rehg (BMVC, 2022)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CVPR, 2022)

Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D Cues. - Zixuan Huang 001; Stefan Stojanov; Anh Thai; Varun Jampani; James M. Rehg (ECCV (1), 2022)

Generative Adversarial Network for Future Hand Segmentation from Egocentric Video. - Wenqi Jia 001; Miao Liu 007; James M. Rehg (ECCV (13), 2022)

Egocentric Activity Recognition and Localization on a 3D Map. - Miao Liu 007; Lingni Ma; Kiran K. Somasundaram; Yin Li 003; Kristen Grauman; James M. Rehg; Chao Li (ECCV (13), 2022)

Transformer-based Localization from Embodied Dialog with Large-scale Pre-training. - Meera Hahn; James M. Rehg (AACL/IJCNLP (2), 2022)

Kernel Multimodal Continuous Attention. - Alexander Moreno; Zhenke Wu; Supriya Nagesh; Walter H. Dempsey; James M. Rehg (NeurIPS, 2022)

Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization. - Stefan Stojanov; Anh Thai; Zixuan Huang 001; James M. Rehg (NeurIPS, 2022)

PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation. - Maxwell A. Xu; Alexander Moreno; Supriya Nagesh; Varol Burak Aydemir; David W. Wetter; Santosh Kumar 001; James M. Rehg (NeurIPS, 2022)

Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games. - Bolin Lai; Hongxin Zhang 005; Miao Liu 007; Aryan J. Pariani; Fiona Ryan; Wenqi Jia 001; Shirley Anugrah Hayati; James M. Rehg; Diyi Yang (CoRR, 2022)

mRisk: Continuous Risk Estimation for Smoking Lapse from Noisy Sensor Data with Incomplete and Positive-Only Labels. - Md. Azim Ullah; Soujanya Chatterjee; Christopher P. Fagundes; Cho Lam; Inbal Nahum-Shani; James M. Rehg; David W. Wetter; Santosh Kumar 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Introduction to the Special Section of CVPR 2017. - Yanxi Liu 001; James M. Rehg; Camillo J. Taylor; Ying Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422). - James M. Rehg; Pierre-Yves Oudeyer; Linda B. Smith; Sho Tsuji; Stefan Stojanov; Ngoc Anh Thai (Dagstuhl Reports, 2022)

Werewolf Among Us: Multimodal Resources for Modeling Persuasion Behaviors in Social Deduction Games. - Bolin Lai; Hongxin Zhang 005; Miao Liu 007; Aryan J. Pariani; Fiona Ryan; Wenqi Jia 001; Shirley Anugrah Hayati; James M. Rehg; Diyi Yang (ACL (Findings), 2023)

Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation Models. - Meera Hahn; Amit Raj; James M. Rehg (AAMAS, 2023)

Explaining a machine learning decision to physicians via counterfactuals. - Supriya Nagesh; Nina Mishra; Yonatan Naamad; James M. Rehg; Mehul A. Shah; Alexei Wagner (CHIL, 2023)

ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency. - Zixuan Huang 001; Varun Jampani; Anh Thai; Yuanzhen Li; Stefan Stojanov; James M. Rehg (CVPR, 2023)

Egocentric Auditory Attention Localization in Conversations. - Fiona Ryan; Hao Jiang 007; Abhinav Shukla; James M. Rehg; Vamsi Krishna Ithapu (CVPR, 2023)

Low-shot Object Learning with Mutual Exclusivity Bias. - Anh Thai; Ahmad Humayun; Stefan Stojanov; Zixuan Huang 001; Bikram Boote; James M. Rehg (NeurIPS, 2023)

Retrieval-Based Reconstruction For Time-series Contrastive Learning. - Maxwell A. Xu; Alexander Moreno; Hui Wei; Benjamin M. Marlin; James M. Rehg (CoRR, 2023)

Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation model. - Meera Hahn; Amit Raj; James M. Rehg (CoRR, 2023)

In the Eye of the Beholder: Gaze and Actions in First Person Video. - Yin Li 003; Miao Liu 007; James M. Rehg (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation. - Hui Wei; Maxwell A. Xu; Colin Samplawski; James Matthew Rehg; Santosh Kumar 001; Benjamin M. Marlin (CHIL, 2024)

PointInfinity: Resolution-Invariant Point Diffusion Models. - Zixuan Huang 001; Justin Johnson 001; Shoubhik Debnath; James M. Rehg; Chao-Yuan Wu (CVPR, 2024)

MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding. - Xu Cao; Tong Zhou; Yunsheng Ma; Wenqian Ye; Can Cui; Kun Tang; Zhipeng Cao 002; Kaizhao Liang; Ziran Wang; James M. Rehg; Chao Zheng (CVPR, 2024)

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. - Kristen Grauman; Andrew Westbury; Lorenzo Torresani; Kris Kitani; Jitendra Malik; Triantafyllos Afouras; Kumar Ashutosh; Vijay Baiyya; Siddhant Bansal; Bikram Boote; Eugene Byrne; Zachary Chavis; et al. (CVPR, 2024)

ZeroShape: Regression-Based Zero-Shot Shape Reconstruction. - Zixuan Huang 001; Stefan Stojanov; Anh Thai; Varun Jampani; James M. Rehg (CVPR, 2024)

The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective. - Wenqi Jia 001; Miao Liu 007; Hao Jiang 007; Ishwarya Ananthabhotla; James M. Rehg; Vamsi Krishna Ithapu; Ruohan Gao (CVPR, 2024)

RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models. - Ozgur Kara; Bariscan Kurtkaya; Hidir Yesiltepe; James M. Rehg; Pinar Yanardag (CVPR, 2024)

Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations. - Sangmin Lee 001; Bolin Lai; Fiona Ryan; Bikram Boote; James M. Rehg (CVPR, 2024)

LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. - Yunsheng Ma; Can Cui; Xu Cao; Wenqian Ye; Peiran Liu; Juanwu Lu; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; Aniket Bera; James M. Rehg; Ziran Wang (CVPR, 2024)

Leveraging Object Priors for Point Tracking. - Bikram Boote; Anh Thai; Wenqi Jia 001; Ozgur Kara; Stefan Stojanov; James M. Rehg; Sangmin Lee 001 (ECCV Workshops (10), 2024)

LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. - Bolin Lai; Xiaoliang Dai; Lawrence Chen 002; Guan Pang; James M. Rehg; Miao Liu 007 (ECCV (9), 2024)

Listen to Look Into the Future: Audio-Visual Egocentric Gaze Anticipation. - Bolin Lai; Fiona Ryan; Wenqi Jia 001; Miao Liu 007; James M. Rehg (ECCV (9), 2024)

3˟ 2: 3D Object Part Segmentation by 2D Semantic Correspondences. - Anh Thai; Weiyao Wang 001; Hao Tang; Stefan Stojanov; James M. Rehg; Matt Feiszli (ECCV (38), 2024)

REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning. - Maxwell A. Xu; Alexander Moreno; Hui Wei; Benjamin M. Marlin; James Matthew Rehg (ICLR, 2024)

What is the Visual Cognition Gap between Humans and Multimodal LLMs? - Xu Cao; Bolin Lai; Wenqian Ye; Yunsheng Ma; Joerg Heintz; Jintai Chen; Jianguo Cao; James M. Rehg (CoRR, 2024)

MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs. - Wenqian Ye; Guangtao Zheng; Yunsheng Ma; Xu Cao; Bolin Lai; James M. Rehg; Aidong Zhang (CoRR, 2024)

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences. - Anh Thai; Weiyao Wang 001; Hao Tang; Stefan Stojanov; Matt Feiszli; James M. Rehg (CoRR, 2024)

Towards Social AI: A Survey on Understanding Social Interactions. - Sangmin Lee 001; Minzhi Li; Bolin Lai; Wenqi Jia 001; Fiona Ryan; Xu Cao; Ozgur Kara; Bikram Boote; Weiyan Shi; Diyi Yang; James M. Rehg (CoRR, 2024)

Human Action Anticipation: A Survey. - Bolin Lai; Sam Toyer; Tushar Nagarajan; Rohit Girdhar; Shengxin Zha; James M. Rehg; Kris Kitani; Kristen Grauman; Ruta Desai; Miao Liu 007 (CoRR, 2024)

Medical Video Generation for Disease Progression Simulation. - Xu Cao; Kaizhao Liang; Kuei-Da Liao; Tianren Gao; Wenqian Ye; Jintai Chen; Zhiguang Ding; Jianguo Cao; James M. Rehg; Jimeng Sun 001 (CoRR, 2024)

AnyECG: Foundational Models for Electrocardiogram Analysis. - Yue Wang; Xu Cao; Yaojun Hu; Haochao Ying; James Matthew Rehg; Jimeng Sun 001; Jian Wu 001; Jintai Chen (CoRR, 2024)

Optimization-Free Image Immunization Against Diffusion-Based Editing. - Tarik Can Ozden; Ozgur Kara; Oguzhan Akcin; Kerem Zaman; Shashank Srivastava; Sandeep P. Chinchali; James M. Rehg (CoRR, 2024)

PyPulse: A Python Library for Biosignal Imputation. - Kevin Gao; Maxwell A. Xu; James M. Rehg; Alexander Moreno (CoRR, 2024)

In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation and Beyond. - Bolin Lai; Miao Liu 007; Fiona Ryan; James M. Rehg (Int. J. Comput. Vis., 2024)

SocialGesture: Delving into Multi-person Gesture Understanding. - Xu Cao; Pranav Virupaksha; Wenqi Jia 001; Bolin Lai; Fiona Ryan; Sangmin Lee 001; James M. Rehg (CVPR, 2025)

SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images. - Zixuan Huang 001; Mark Boss; Aaryaman Vasishta; James M. Rehg; Varun Jampani (CVPR, 2025)

ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models. - Ozgur Kara; Krishna Kumar Singh; Feng Liu; Duygu Ceylan; James M. Rehg; Tobias Hinz (CVPR, 2025)

Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation. - Bolin Lai; Felix Juefei-Xu; Miao Liu 007; Xiaoliang Dai; Nikhil Mehta 002; Chenguang Zhu; Zeyi Huang; James M. Rehg; Sangmin Lee 001; Ning Zhang; Tong Xiao (CVPR, 2025)

Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation. - Xiang Li; Zixuan Huang 001; Anh Thai; James M. Rehg (CVPR, 2025)

Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders. - Fiona Ryan; Ajay Bati; Sangmin Lee 001; Daniel Bolya; Judy Hoffman; James M. Rehg (CVPR, 2025)

Improving Personalized Search with Regularized Low-Rank Parameter Updates. - Fiona Ryan; Josef Sivic; Fabian Caba Heilbron; Judy Hoffman; James M. Rehg; Bryan C. Russell (CVPR, 2025)

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data. - Maxwell A. Xu; Jaya Narain; Gregory Darnell; Haraldur Tómas Hallgrímsson; Hyewon Jeong; Darren Forde; Richard Andres Fineman; Karthik Jayaraman Raghuram; James Matthew Rehg; Shirley You Ren (ICLR, 2025)

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. - Amin Adibi; Xu Cao; Zongliang Ji; Jivat Neet Kaur; Winston Chen; Elizabeth Healey; Brighton Nuwagira; Wenqian Ye; Geoffrey Woollard; Maxwell A. Xu; Hejie Cui; Johnny Xi; et al. (CoRR, 2025)

Towards Online Multi-Modal Social Interaction Understanding. - Xinpeng Li; Shijian Deng; Bolin Lai; Weiguo Pian; James M. Rehg; Yapeng Tian (CoRR, 2025)

Learning Predictive Visuomotor Coordination. - Wenqi Jia 001; Bolin Lai; Miao Liu 007; Danfei Xu; James M. Rehg (CoRR, 2025)

MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models. - Anh Thai; Stefan Stojanov; Zixuan Huang 001; Bikram Boote; James M. Rehg (CoRR, 2025)

Incorporating Flexible Image Conditioning into Text-to-Video Diffusion Models without Training. - Bolin Lai; Sangmin Lee 001; Xu Cao; Xiang Li; James M. Rehg (CoRR, 2025)

LSM-2: Learning from Incomplete Wearable Sensor Data. - Maxwell A. Xu; Girish Narayanswamy; Kumar Ayush; Dimitris Spathis; Shun Liao; Shyam A. Tailor; Ahmed Metwally 002; A. Ali Heydari; Yuwei Zhang; Jake Garrison; Samy Abdel-Ghaffar; Xuhai Xu; et al. (CoRR, 2025)

Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs. - Yifan Shen; Yuanzhe Liu; Jingyuan Zhu; Xu Cao; Xiaofeng Zhang; Yixiao He; Wenming Ye; James Matthew Rehg; Ismini Lourentzou (CoRR, 2025)

Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications across Lab and Field Settings. - Mithun Saha; Maxwell A. Xu; Wanting Mao; Sameer Neupane; James M. Rehg; Santosh Kumar 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)