activity
20142024
most citedSegmentation Transformer: Object-Contextual Representations for Semantic Segmentation

502 citations · 2.5k across the 78 of their papers we have counts for

collaborators

78 papers

cs.CV2024

Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement

Zheng Yuan, Jie Zhang, Yude Wang +2

The attention mechanism has been proven effective on various visual tasks in recent years. In the semantic segmentation task, the attention mechanism is applied in various methods,…

cs.CV2023

Cooperative Dual Attention for Audio-Visual Speech Enhancement with Facial Cues

Feixiang Wang, Shuang Yang, Shiguang Shan +1

In this work, we focus on leveraging facial cues beyond the lip region for robust Audio-Visual Speech Enhancement (AVSE). The facial region, encompassing the lip region, reflects a…

cs.CV2023

Learning Separable Hidden Unit Contributions for Speaker-Adaptive Lip-Reading

Songtao Luo, Shuang Yang, Shiguang Shan +1

In this paper, we propose a novel method for speaker adaptation in lip reading, motivated by two observations. Firstly, a speaker's own characteristics can always be portrayed well…

cs.CV2023

Dual Compensation Residual Networks for Class Imbalanced Learning

Ruibing Hou, Hong Chang, Bingpeng Ma +2

Learning generalizable representation and classifier for class-imbalanced data is challenging for data-driven deep models. Most studies attempt to re-balance the data distribution,…

cs.CV2023★ 3 cited

Function-Consistent Feature Distillation

Dongyang Liu, Meina Kan, Shiguang Shan +1

Feature distillation makes the student mimic the intermediate features of the teacher. Nearly all existing feature-distillation methods use L2 distance or its slight variants as th…

cs.CV2023★ 5 cited

Diversity-Measurable Anomaly Detection

Wenrui Liu, Hong Chang, Bingpeng Ma +2

Reconstruction-based anomaly detection models achieve their purpose by suppressing the generalization ability for anomaly. However, diverse normal patterns are consequently not wel…