32 citations · 101 across the 11 of their papers we have counts for
11 papers
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
Ying Jin, Jiaqi Wang, Dahua Lin
Semi-Supervised Semantic Segmentation aims at training the segmentation model with limited labeled data and a large amount of unlabeled data. To effectively leverage the unlabeled…
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
Dachuan Shi, Chaofan Tao, Ying Jin +3
Real-world data contains a vast amount of multimodal information, among which vision and language are the two most representative modalities. Moreover, increasingly heavier models,…
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…
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…
Improving Vision Transformers for Incremental Learning
Pei Yu, Yinpeng Chen, Ying Jin +1
This paper proposes a working recipe of using Vision Transformer (ViT) in class incremental learning. Although this recipe only combines existing techniques, developing the combina…
Few-Shot Object Detection via Association and DIscrimination
Yuhang Cao, Jiaqi Wang, Ying Jin +4
Object detection has achieved substantial progress in the last decade. However, detecting novel classes with only few samples remains challenging, since deep learning under low dat…
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-…