4 citations · 7 across the 5 of their papers we have counts for
6 papers
The Overlooked Classifier in Human-Object Interaction Recognition
Ying Jin, Yinpeng Chen, Lijuan Wang +5
Human-Object Interaction (HOI) recognition is challenging due to two factors: (1) significant imbalance across classes and (2) requiring multiple labels per image. This paper shows…
Single-DARTS: Towards Stable Architecture Search
Pengfei Hou, Ying Jin, Yukang Chen
Differentiable architecture search (DARTS) marks a milestone in Neural Architecture Search (NAS), boasting simplicity and small search costs. However, DARTS still suffers from freq…
Is Object Detection Necessary for Human-Object Interaction Recognition?
Ying Jin, Yinpeng Chen, Lijuan Wang +4
This paper revisits human-object interaction (HOI) recognition at image level without using supervisions of object location and human pose. We name it detection-free HOI recognitio…
Single-level Optimization For Differential Architecture Search
Pengfei Hou, Ying Jin
In this paper, we point out that differential architecture search (DARTS) makes gradient of architecture parameters biased for network weights and architecture parameters are updat…
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes
Kevin Lin, Lijuan Wang, Ying Jin +2
Nonparametric approaches have shown promising results on reconstructing 3D human mesh from a single monocular image. Unlike previous approaches that use a parametric human model li…
Minimum Class Confusion for Versatile Domain Adaptation
Ying Jin, Ximei Wang, Mingsheng Long +1
There are a variety of Domain Adaptation (DA) scenarios subject to label sets and domain configurations, including closed-set and partial-set DA, as well as multi-source and multi-…