162 citations · 605 across the 43 of their papers we have counts for
43 papers
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing
Ajian Liu, Zichang Tan, Zitong Yu +7
The availability of handy multi-modal (i.e., RGB-D) sensors has brought about a surge of face anti-spoofing research. However, the current multi-modal face presentation attack dete…
Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
Fanglei Xue, Qiangchang Wang, Zichang Tan +2
Facial Expression Recognition (FER) in the wild is an extremely challenging task. Recently, some Vision Transformers (ViT) have been explored for FER, but most of them perform infe…
Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition
Fanglei Xue, Zichang Tan, Yu Zhu +2
Facial expression recognition plays an important role in human-computer interaction. In this paper, we propose the Coarse-to-Fine Cascaded network with Smooth Predicting (CFC-SP) t…
End-to-End Human-Gaze-Target Detection with Transformers
Danyang Tu, Xiongkuo Min, Huiyu Duan +3
In this paper, we propose an effective and efficient method for Human-Gaze-Target (HGT) detection, i.e., gaze following. Current approaches decouple the HGT detection task into sep…
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows
Danyang Tu, Xiongkuo Min, Huiyu Duan +3
This paper presents a new vision Transformer, named Iwin Transformer, which is specifically designed for human-object interaction (HOI) detection, a detailed scene understanding ta…
Defending Black-box Skeleton-based Human Activity Classifiers
He Wang, Yunfeng Diao, Zichang Tan +1
Skeletal motions have been heavily replied upon for human activity recognition (HAR). Recently, a universal vulnerability of skeleton-based HAR has been identified across a variety…
Associative Adversarial Learning Based on Selective Attack
Runqi Wang, Xiaoyue Duan, Baochang Zhang +4
A human's attention can intuitively adapt to corrupted areas of an image by recalling a similar uncorrupted image they have previously seen. This observation motivates us to improv…
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention
Sitong Wu, Tianyi Wu, Haoru Tan +1
Recently, Transformers have shown promising performance in various vision tasks. To reduce the quadratic computation complexity caused by the global self-attention, various methods…
LAE : Long-tailed Age Estimation
Zenghao Bao, Zichang Tan, Yu Zhu +4
Facial age estimation is an important yet very challenging problem in computer vision. To improve the performance of facial age estimation, we first formulate a simple standard bas…
TransFER: Learning Relation-aware Facial Expression Representations with Transformers
Fanglei Xue, Qiangchang Wang, Guodong Guo
Facial expression recognition (FER) has received increasing interest in computer vision. We propose the TransFER model which can learn rich relation-aware local representations. It…
Self-Conditioned Probabilistic Learning of Video Rescaling
Yuan Tian, Guo Lu, Xiongkuo Min +4
Bicubic downscaling is a prevalent technique used to reduce the video storage burden or to accelerate the downstream processing speed. However, the inverse upscaling step is non-tr…
3D High-Fidelity Mask Face Presentation Attack Detection Challenge
Ajian Liu, Chenxu Zhao, Zitong Yu +8
The threat of 3D masks to face recognition systems is increasingly serious and has been widely concerned by researchers. To facilitate the study of the algorithms, a large-scale Hi…
EAN: Event Adaptive Network for Enhanced Action Recognition
Yuan Tian, Yichao Yan, Guangtao Zhai +2
Efficiently modeling spatial-temporal information in videos is crucial for action recognition. To achieve this goal, state-of-the-art methods typically employ the convolution opera…
Joint Face Image Restoration and Frontalization for Recognition
Xiaoguang Tu, Jian Zhao, Qiankun Liu +5
In real-world scenarios, many factors may harm face recognition performance, e.g., large pose, bad illumination,low resolution, blur and noise. To address these challenges, previou…
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection
Ajian Liu, Chenxu Zhao, Zitong Yu +11
Face presentation attack detection (PAD) is essential to secure face recognition systems primarily from high-fidelity mask attacks. Most existing 3D mask PAD benchmarks suffer from…
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
Li Wang, Liang Du, Xiaoqing Ye +5
The objective of this paper is to learn context- and depth-aware feature representation to solve the problem of monocular 3D object detection. We make following contributions: (i)…
Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking
Nan Jiang, Kuiran Wang, Xiaoke Peng +7
Unmanned Aerial Vehicle (UAV) offers lots of applications in both commerce and recreation. With this, monitoring the operation status of UAVs is crucially important. In this work,…
GINet: Graph Interaction Network for Scene Parsing
Tianyi Wu, Yu Lu, Yu Zhu +4
Recently, context reasoning using image regions beyond local convolution has shown great potential for scene parsing. In this work, we explore how to incorporate the linguistic kno…
Binarized Neural Architecture Search for Efficient Object Recognition
Hanlin Chen, Li'an Zhuo, Baochang Zhang +5
Traditional neural architecture search (NAS) has a significant impact in computer vision by automatically designing network architectures for various tasks. In this paper, binarize…
Self-supervised Video Object Segmentation
Fangrui Zhu, Li Zhang, Yanwei Fu +2
The objective of this paper is self-supervised representation learning, with the goal of solving semi-supervised video object segmentation (a.k.a. dense tracking). We make the foll…
Cogradient Descent for Bilinear Optimization
Li'an Zhuo, Baochang Zhang, Linlin Yang +5
Conventional learning methods simplify the bilinear model by regarding two intrinsically coupled factors independently, which degrades the optimization procedure. One reason lies i…
3D Face Anti-spoofing with Factorized Bilinear Coding
Shan Jia, Xin Li, Chuanbo Hu +2
We have witnessed rapid advances in both face presentation attack models and presentation attack detection (PAD) in recent years. When compared with widely studied 2D face presenta…
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review
Ajian Liu, Xuan Li, Jun Wan +12
Face anti-spoofing is critical to prevent face recognition systems from a security breach. The biometrics community has %possessed achieved impressive progress recently due the exc…
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing
Ajian Li, Zichang Tan, Xuan Li +4
Ethnic bias has proven to negatively affect the performance of face recognition systems, and it remains an open research problem in face anti-spoofing. In order to study the ethnic…