Author: xiaowz

Human Motion Capture Using a Drone

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6DoF Pose Estimation and Object Grasping

6-DoF Object Pose from Semantic Keypoints Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis International Conference on Robotics and Automation (ICRA), 2017 project page / code / video / bibtex

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Multi-Image Matching

Abstract In this paper we propose a global optimization-based approach to jointly matching a set of images. The estimated correspondences simultaneously maximize pairwise feature affinities and cycle consistency across multiple images. Unlike previous convex methods relying on semidefinite programming, we

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Single-Image Popup

Abstract We introduce a new approach for estimating a fine grained 3D shape and continuous pose of an object from a single image. Given a training set of view exemplars, we learn and select appearance-based discriminative parts which are mapped

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Human Pose Estimation from Monocular Video

Abstract This paper addresses the challenge of 3D full-body human pose estimation from a monocular image sequence. Here, two cases are considered: (i) the image locations of the human joints are provided and (ii) the image locations of joints are

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3D Shape Estimation via Convex Optimization

Abstract We investigate the problem of estimating the 3D structure of an object defined by a set of 3D landmarks, given their 2D correspondences in a single image. To alleviate the reconstruction ambiguity, a widely used approach is to assume the

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Low-Rank Modeling: A Review

Abstract Low-rank modeling generally refers to a class of methods that solves problems by representing variables of interest as low-rank matrices. It has achieved great success in various fields including computer vision, data mining, signal processing, and bioinformatics. Recently, much

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Active Contours with Group Similarity

Abstract Active contours are widely used in image segmentation. To cope with missing or misleading features in images, re- searchers have introduced various ways to model the prior of shapes and use the prior to constrain active contours. However, the

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DECOLOR for Moving Object Detection

Abstact Object detection is a fundamental step for automated video analysis in many vision applications. Object detection in a video is usually performed by object detectors or background subtraction techniques. Often, an object detector requires manually labeled examples to train

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