Rehg, I.
Co Author Listing * Recognizing Objects From Any View With Object and Viewer-Centered Representations
Rehg, J.[James]
Co Author Listing * Weakly Supervised Learning of Object Segmentations from Web-Scale Video
Rehg, J.M.[James M.]
Co Author Listing * Home Page.
* email: Rehg, J.M.[James M.]: rehg AT cc gatech edu
* 3D Reconstruction of Novel Object Shapes from Single Images
* 3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare
* 4D Human Body Capture from Egocentric Video via 3D Scene Grounding
* Analyzing Articulated Motion Using Expectation-Maximization
* Asymmetrically boosted HMM for speech reading
* Audio-visual speaker detection using dynamic Bayesian networks
* Automatic cascade training with perturbation bias
* Bayesian Multiple-Hypothesis Approach to Contour Grouping, A
* Bayesian Multiple-Hypothesis Approach to Edge Grouping and Contour Segmentation, A
* Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel
* Boosted audio-visual HMM for speech reading
* Boosted learning in dynamic Bayesian networks for multimodal speaker detection
* Boosting and structure learning in dynamic Bayesian networks for audio-visual speaker detection
* Categorizing Turn-Taking Interactions
* CENTRIST: A Visual Descriptor for Scene Categorization
* Combining Self Training and Active Learning for Video Segmentation
* Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency
* C^4: A Real-Time Object Detection Framework
* Decoding Children's Social Behavior
* Decoupled Networks
* Delving into egocentric actions
* Detecting Attended Visual Targets in Video
* Detecting bids for eye contact using a wearable camera
* DigitEyes: Vision-Based Human Hand Tracking
* Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking
* Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models, A
* Dynamic Feature Ordering for Efficient Registration
* Ego4D: Around the World in 3,000 Hours of Egocentric Video
* Egocentric Activity Recognition and Localization on a 3D Map
* Egocentric Auditory Attention Localization in Conversations
* Fast Asymmetric Learning for Cascade Face Detection
* Fine-Grained Head Pose Estimation Without Keypoints
* First International Workshop on Video Segmentation - Panel Discussion
* First-Person Action Decomposition and Zero-Shot Learning
* flexible projector-camera system for multi-planar displays, A
* Forecasting Human-object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video
* Gaze-enabled egocentric video summarization via constrained submodular maximization
* Generative Adversarial Network for Future Hand Segmentation from Egocentric Video
* GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity
* Guest editors' introduction to the special section on graphical models in computer vision
* Impact of Dynamic Model Learning on Classification of Human Motion
* Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture
* In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video
* In the Eye of the Beholder: Gaze and Actions in First Person Video
* In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation and Beyond
* Incremental Object Learning From Contiguous Views
* Introduction to the Special Section of CVPR 2017
* Joint Semantic Segmentation and 3D Reconstruction from Monocular Video
* Large-scale image annotation using visual synset
* Learning and Inference in Parametric Switching Linear Dynamical Systems
* Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems
* Learning Query-Specific Distance Functions for Large-Scale Web Image Search
* Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
* Learning sparse covariance patterns for natural scenes
* Learning to Generate Synthetic Data via Compositing
* Learning to Predict Gaze in Egocentric Video
* Learning to Recognize Daily Actions Using Gaze
* Learning to recognize objects in egocentric activities
* Method and system for compressing a sequence of images including a moving figure
* Method for detecting human body motion in frames of a video sequence
* Method for figure tracking using 2-D registration
* Method for tracking the motion of a 3-D figure
* Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals, The
* Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters
* Model-Based Tracking of Self-Occluding Articulated Objects
* Modeling Actions through State Changes
* Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking, A
* Motion Coherent Tracking Using Multi-label MRF Optimization
* Motion Coherent Tracking with Multi-label MRF optimization
* Movement Pattern Histogram for Action Recognition and Retrieval
* Multi-object Tracking with Neural Gating Using Bilinear LSTM
* Multimodal Speaker Detection using Error Feedback Dynamic Bayesian Networks
* Multiple Hypothesis Approach to Figure Tracking, A
* Multiple Hypothesis Tracking Revisited
* On the Design of Cascades of Boosted Ensembles for Face Detection
* Orthogonal Over-Parameterized Training
* Parameterized Duration Mmodeling for Switching Linear Dynamic Systems
* Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D Cues
* Quasi-periodic Event Analysis for Social Game Retrieval
* Real-life violent social interaction detection
* Reconstruction of 3D Figure Motion from 2D Correspondences
* Regularizing Neural Networks via Minimizing Hyperspherical Energy
* RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions
* Robust video segment proposals with painless occlusion handling
* Scalable Approach to Activity Recognition based on Object Use, A
* Secrets of Salient Object Segmentation, The
* Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations
* Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays
* ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency
* Singularity Analysis for Articulated Object Tracking
* Social interactions: A first-person perspective
* Statistical Color Models with Application to Skin Detection
* Taking a Deeper Look at the Inverse Compositional Algorithm
* Temporal causality for the analysis of visual events
* Towards Accurate 3D Human Body Reconstruction from Silhouettes
* Towards Optimal Training of Cascaded Detectors
* Towards the Optimal Training of Cascades of Boosted Ensembles
* Understanding egocentric activities
* Unsupervised 3D Pose Estimation With Geometric Self-Supervision
* Unsupervised Learning of Edges
* Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
* Video Editing Using Figure Tracking and Image-based Rendering
* Video Segmentation by Tracking Many Figure-Ground Segments
* Vision for a Smart Kiosk
* Vision-Based Speaker Detection Using Bayesian Networks
* Visual Analysis of High DOF Articulated Objects with Application to Hand Tracking
* Visual Tracking of High DoF Articulated Structures: An Application to Human Hand Tracking
* Visual Tracking of Self-Occluding Articulated Objects
* Visual Tracking with Deformation Models
* Where am I: Place instance and category recognition using spatial PACT
Includes: Rehg, J.M.[James M.] Rehg, J.M. Rehg, J.M.[James Matthew] Rehg, J.M.[Jim M.]
112 for Rehg, J.M.