329 citations · 454 across the 6 of their papers we have counts for
6 papers
Joint Multi-Person Pose Estimation and Semantic Part Segmentation
Fangting Xia, Peng Wang, Xianjie Chen +1
Human pose estimation and semantic part segmentation are two complementary tasks in computer vision. In this paper, we propose to solve the two tasks jointly for natural multi-pers…
DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization
Jun Zhu, Xianjie Chen, Alan L. Yuille
In this paper, we propose a deep part-based model (DeePM) for symbiotic object detection and semantic part localization. For this purpose, we annotate semantic parts for all 20 obj…
Ground-truth dataset and baseline evaluations for image base-detail separation algorithms
Xuan Dong, Boyan Bonev, Weixin Li +3
Base-detail separation is a fundamental computer vision problem consisting of modeling a smooth base layer with the coarse structures, and a detail layer containing the texture-lik…
Parsing Occluded People by Flexible Compositions
Xianjie Chen, Alan Yuille
This paper presents an approach to parsing humans when there is significant occlusion. We model humans using a graphical model which has a tree structure building on recent work [3…
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
Xianjie Chen, Alan Yuille
We present a method for estimating articulated human pose from a single static image based on a graphical model with novel pairwise relations that make adaptive use of local image…
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts
Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu +3
Detecting objects becomes difficult when we need to deal with large shape deformation, occlusion and low resolution. We propose a novel approach to i) handle large deformations and…