Search Results - "Rehg, James M."

In the Eye of the Beholder: Gaze and Actions in First Person Video by Li, Yin, Liu, Miao, Rehg, James M.

“…We address the task of jointly determining what a person is doing and where they are looking based on the analysis of video captured by a headworn camera. To…”
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Learning to Predict Gaze in Egocentric Video by Yin Li, Fathi, Alireza, Rehg, James M.

“…We present a model for gaze prediction in egocentric video by leveraging the implicit cues that exist in camera wearer's behaviors. Specifically, we compute…”
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Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving by Williams, Grady, Drews, Paul, Goldfain, Brian, Rehg, James M., Theodorou, Evangelos A.

“…We present an information-theoretic approach to stochastic optimal control problems that can be used to derive general sampling-based optimization schemes…”
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Real-world visual statistics and infants' first-learned object names by Clerkin, Elizabeth M., Hart, Elizabeth, Rehg, James M., Yu, Chen, Smith, Linda B.

“…We offer a new solution to the unsolved problem of how infants break into word learning based on the visual statistics of everyday infant-perspective scenes…”
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Motion Coherent Tracking Using Multi-label MRF Optimization by Tsai, David, Flagg, Matthew, Nakazawa, Atsushi, Rehg, James M.

“…We present a novel off-line algorithm for target segmentation and tracking in video. In our approach, video data is represented by a multi-label Markov Random…”
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Parallel vision for perception and understanding of complex scenes: methods, framework, and perspectives by Wang, Kunfeng, Gou, Chao, Zheng, Nanning, Rehg, James M., Wang, Fei-Yue

“…In the study of image and vision computing, the generalization capability of an algorithm often determines whether it is able to work well in complex scenes…”
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Detection of eye contact with deep neural networks is as accurate as human experts by Chong, Eunji, Clark-Whitney, Elysha, Southerland, Audrey, Stubbs, Elizabeth, Miller, Chanel, Ajodan, Eliana L., Silverman, Melanie R., Lord, Catherine, Rozga, Agata, Jones, Rebecca M., Rehg, James M.

“…Eye contact is among the most primary means of social communication used by humans. Quantification of eye contact is valuable as a part of the analysis of…”
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Terrain Synthesis from Digital Elevation Models by Zhou, H., Sun, J., Turk, G., Rehg, J.M.

“…In this paper, we present an example-based system for terrain synthesis. In our approach, patches from a sample terrain (represented by a height field) are…”
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On the Design of Cascades of Boosted Ensembles for Face Detection by Brubaker, S. Charles, Wu, Jianxin, Sun, Jie, Mullin, Matthew D., Rehg, James M.

“…Cascades of boosted ensembles have become popular in the object detection community following their highly successful introduction in the face detector of…”
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Learning Visual Object Categories for Robot Affordance Prediction by Jie Sun, Moore, Joshua L., Bobick, Aaron, Rehg, James M.

“…A fundamental requirement of any autonomous robot system is the ability to predict the affordances of its environment. The set of affordances define the…”
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Delving into egocentric actions by Yin Li, Zhefan Ye, Rehg, James M.

“…We address the challenging problem of recognizing the camera wearer's actions from videos captured by an egocentric camera. Egocentric videos encode a rich set…”
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Video Segmentation by Tracking Many Figure-Ground Segments by Fuxin Li, Taeyoung Kim, Humayun, Ahmad, Tsai, David, Rehg, James M.

“…We propose an unsupervised video segmentation approach by simultaneously tracking multiple holistic figure-ground segments. Segment tracks are initialized from…”
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CENTRIST: A Visual Descriptor for Scene Categorization by Jianxin Wu, Rehg, J M

“…CENsus TRansform hISTogram (CENTRIST), a new visual descriptor for recognizing topological places or scene categories, is introduced in this paper. We show…”
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Multiple Hypothesis Tracking Revisited by Chanho Kim, Fuxin Li, Ciptadi, Arridhana, Rehg, James M.

“…This paper revisits the classical multiple hypotheses tracking (MHT) algorithm in a tracking-by-detection framework. The success of MHT largely depends on the…”
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A Real-Time Object Detection Framework by Jianxin Wu, Nini Liu, Geyer, Christopher, Rehg, James M.

“…A real-time and accurate object detection framework, C 4 , is proposed in this paper. C 4 achieves 20 fps speed and the state-of-the-art detection accuracy,…”
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Learning to Generate Synthetic Data via Compositing by Tripathi, Shashank, Chandra, Siddhartha, Agrawal, Amit, Tyagi, Ambrish, Rehg, James M., Chari, Visesh

“…We present a task-specific approach to synthetic data generation. Our framework employs a trainable synthesizer network that is optimized to produce meaningful…”
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Gaze-enabled egocentric video summarization via constrained submodular maximization by Jia Xu, Mukherjee, Lopamudra, Yin Li, Warner, Jamieson, Rehg, James M., Singh, Vikas

“…With the proliferation of wearable cameras, the number of videos of users documenting their personal lives using such devices is rapidly increasing. Since such…”
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In the Eye of Transformer: Global–Local Correlation for Egocentric Gaze Estimation and Beyond by Lai, Bolin, Liu, Miao, Ryan, Fiona, Rehg, James M.

“…Predicting human’s gaze from egocentric videos serves as a critical role for human intention understanding in daily activities. In this paper, we present the…”
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The Secrets of Salient Object Segmentation by Yin Li, Xiaodi Hou, Koch, Christof, Rehg, James M., Yuille, Alan L.

“…In this paper we provide an extensive evaluation of fixation prediction and salient object segmentation algorithms as well as statistics of major datasets. Our…”
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Introduction to the Special Section of CVPR 2017 by Liu, Yanxi, Rehg, James M., Taylor, Camillo J., Wu, Ying

“…The papers in this special section were presented at the Computer Vision and Pattern Recognition conference…”
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