activity
20152021
most citedZoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net

13 citations · 45 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 12 cited

Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food

Quin Thames, Arjun Karpur, Wade Norris +4

Understanding the nutritional content of food from visual data is a challenging computer vision problem, with the potential to have a positive and widespread impact on public healt…

physics.ins-det2020

The upgrade of EAST Safety and Interlock system

Z. C. Zhang, B. J. Xiao, Z. S. Ji +3

The Experimental Advanced Superconducting Tokamak (EAST), a nation-level large-scale scientific project of China, plays a key role for the research of peaceful utilizations of fusi…

cs.CV2017★ 10 cited

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…

cs.CV2015★ 13 cited

Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net

Fangting Xia, Peng Wang, Liang-Chieh Chen +1

Parsing articulated objects, e.g. humans and animals, into semantic parts (e.g. body, head and arms, etc.) from natural images is a challenging and fundamental problem for computer…

cs.CV2015★ 10 cited

Pose-Guided Human Parsing with Deep Learned Features

Fangting Xia, Jun Zhu, Peng Wang +1

Parsing human body into semantic regions is crucial to human-centric analysis. In this paper, we propose a segment-based parsing pipeline that explores human pose information, i.e.…