502 citations · 2.5k across the 78 of their papers we have counts for
8 papers · 1 filter
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
Fengyuan Yang, Ruiping Wang, Xilin Chen
Teaching machines to recognize a new category based on few training samples especially only one remains challenging owing to the incomprehensive understanding of the novel category…
HRFormer: High-Resolution Transformer for Dense Prediction
Yuhui Yuan, Rao Fu, Lang Huang +4
We present a High-Resolution Transformer (HRFormer) that learns high-resolution representations for dense prediction tasks, in contrast to the original Vision Transformer that prod…
UniCon: Unified Context Network for Robust Active Speaker Detection
Yuanhang Zhang, Susan Liang, Shuang Yang +4
We introduce a new efficient framework, the Unified Context Network (UniCon), for robust active speaker detection (ASD). Traditional methods for ASD usually operate on each candida…
Locality-aware Channel-wise Dropout for Occluded Face Recognition
Mingjie He, Jie Zhang, Shiguang Shan +3
Face recognition remains a challenging task in unconstrained scenarios, especially when faces are partially occluded. To improve the robustness against occlusion, augmenting the tr…
Gaze Estimation with an Ensemble of Four Architectures
Xin Cai, Boyu Chen, Jiabei Zeng +7
This paper presents a method for gaze estimation according to face images. We train several gaze estimators adopting four different network architectures, including an architecture…
Feature Completion for Occluded Person Re-Identification
Ruibing Hou, Bingpeng Ma, Hong Chang +3
Person re-identification (reID) plays an important role in computer vision. However, existing methods suffer from performance degradation in occluded scenes. In this work, we propo…
Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking
Shen Li, Bingpeng Ma, Hong Chang +2
This paper proposes a novel model, named Continuity-Discrimination Convolutional Neural Network (CD-CNN), for visual object tracking. Existing state-of-the-art tracking methods do…
Visual Alignment Constraint for Continuous Sign Language Recognition
Yuecong Min, Aiming Hao, Xiujuan Chai +1
Vision-based Continuous Sign Language Recognition (CSLR) aims to recognize unsegmented signs from image streams. Overfitting is one of the most critical problems in CSLR training,…