421 citations · 1.7k across the 83 of their papers we have counts for
84 papers
Contrastive Learning of Person-independent Representations for Facial Action Unit Detection
Yong Li, Shiguang Shan
Facial action unit (AU) detection, aiming to classify AU present in the facial image, has long suffered from insufficient AU annotations. In this paper, we aim to mitigate this dat…
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,…
Patch Is Not All You Need
Changzhen Li, Jie Zhang, Yang Wei +3
Vision Transformers have achieved great success in computer visions, delivering exceptional performance across various tasks. However, their inherent reliance on sequential input e…
Triplet Knowledge Distillation
Xijun Wang, Dongyang Liu, Meina Kan +3
In Knowledge Distillation, the teacher is generally much larger than the student, making the solution of the teacher likely to be difficult for the student to learn. To ease the mi…
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…
CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model
Zhongqi Wang, Jie Zhang, Zhilong Ji +2
With the development of deep generative models, recent years have seen great success of Chinese landscape painting generation. However, few works focus on controllable Chinese land…
Real Face Foundation Representation Learning for Generalized Deepfake Detection
Liang Shi, Jie Zhang, Shiguang Shan
The emergence of deepfake technologies has become a matter of social concern as they pose threats to individual privacy and public security. It is now of great significance to deve…
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…
Hierarchical Compositional Representations for Few-shot Action Recognition
Changzhen Li, Jie Zhang, Shuzhe Wu +2
Recently action recognition has received more and more attention for its comprehensive and practical applications in intelligent surveillance and human-computer interaction. Howeve…
MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild
Yuanyuan Liu, Wei Dai, Chuanxu Feng +4
Dynamic facial expression recognition (FER) databases provide important data support for affective computing and applications. However, most FER databases are annotated with severa…
UniCon+: ICTCAS-UCAS Submission to the AVA-ActiveSpeaker Task at ActivityNet Challenge 2022
Yuanhang Zhang, Susan Liang, Shuang Yang +1
This report presents a brief description of our winning solution to the AVA Active Speaker Detection (ASD) task at ActivityNet Challenge 2022. Our underlying model UniCon+ continue…
Clothes-Changing Person Re-identification with RGB Modality Only
Xinqian Gu, Hong Chang, Bingpeng Ma +3
The key to address clothes-changing person re-identification (re-id) is to extract clothes-irrelevant features, e.g., face, hairstyle, body shape, and gait. Most current works main…
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
Botao Ye, Hong Chang, Bingpeng Ma +2
The current popular two-stream, two-stage tracking framework extracts the template and the search region features separately and then performs relation modeling, thus the extracted…
Adaptive Image Transformations for Transfer-based Adversarial Attack
Zheng Yuan, Jie Zhang, Shiguang Shan
Adversarial attacks provide a good way to study the robustness of deep learning models. One category of methods in transfer-based black-box attack utilizes several image transforma…
Adaptive Perturbation for Adversarial Attack
Zheng Yuan, Jie Zhang, Zhaoyan Jiang +2
In recent years, the security of deep learning models achieves more and more attentions with the rapid development of neural networks, which are vulnerable to adversarial examples.…
Learning Fair Face Representation With Progressive Cross Transformer
Yong Li, Yufei Sun, Zhen Cui +2
Face recognition (FR) has made extraordinary progress owing to the advancement of deep convolutional neural networks. However, demographic bias among different racial cohorts still…
Meta Gradient Adversarial Attack
Zheng Yuan, Jie Zhang, Yunpei Jia +3
In recent years, research on adversarial attacks has become a hot spot. Although current literature on the transfer-based adversarial attack has achieved promising results for impr…
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…
Graph Jigsaw Learning for Cartoon Face Recognition
Yong Li, Lingjie Lao, Zhen Cui +2
Cartoon face recognition is challenging as they typically have smooth color regions and emphasized edges, the key to recognize cartoon faces is to precisely perceive their sparse a…
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…
MFR 2021: Masked Face Recognition Competition
Fadi Boutros, Naser Damer, Jan Niklas Kolf +32
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attra…
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…
Meta Auxiliary Learning for Facial Action Unit Detection
Yong Li, Shiguang Shan
Despite the success of deep neural networks on facial action unit (AU) detection, better performance depends on a large number of training images with accurate AU annotations. Howe…