13 citations · 45 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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.…