251 citations · 2.2k across the 123 of their papers we have counts for
30 papers · 1 filter
A Style and Semantic Memory Mechanism for Domain Generalization
Yang Chen, Yu Wang, Yingwei Pan +3
Mainstream state-of-the-art domain generalization algorithms tend to prioritize the assumption on semantic invariance across domains. Meanwhile, the inherent intra-domain style inv…
Transferrable Contrastive Learning for Visual Domain Adaptation
Yang Chen, Yingwei Pan, Yu Wang +3
Self-supervised learning (SSL) has recently become the favorite among feature learning methodologies. It is therefore appealing for domain adaptation approaches to consider incorpo…
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising
Jianjie Luo, Yehao Li, Yingwei Pan +3
BERT-type structure has led to the revolution of vision-language pre-training and the achievement of state-of-the-art results on numerous vision-language downstream tasks. Existing…
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning
Hangtong Wu, Dan Zen, Yibo Hu +2
Face anti-spoofing (FAS) plays a vital role in preventing face recognition systems from presentation attacks. Existing face anti-spoofing datasets lack diversity due to the insuffi…
Directional Self-supervised Learning for Heavy Image Augmentations
Yalong Bai, Yifan Yang, Wei Zhang +1
Despite the large augmentation family, only a few cherry-picked robust augmentation policies are beneficial to self-supervised image representation learning. In this paper, we prop…
ViDA-MAN: Visual Dialog with Digital Humans
Tong Shen, Jiawei Zuo, Fan Shi +7
We demonstrate ViDA-MAN, a digital-human agent for multi-modal interaction, which offers realtime audio-visual responses to instant speech inquiries. Compared to traditional text o…
A Baseline Framework for Part-level Action Parsing and Action Recognition
Xiaodong Chen, Xinchen Liu, Kun Liu +2
This technical report introduces our 2nd place solution to Kinetics-TPS Track on Part-level Action Parsing in ICCV DeeperAction Workshop 2021. Our entry is mainly based on YOLOF fo…
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation
Xiao Wang, Jingen Liu, Tao Mei +1
Some cognitive research has discovered that humans accomplish event segmentation as a side effect of event anticipation. Inspired by this discovery, we propose a simple yet effecti…
Semi-Supervised Domain Generalizable Person Re-Identification
Lingxiao He, Wu Liu, Jian Liang +4
Existing person re-identification (re-id) methods are stuck when deployed to a new unseen scenario despite the success in cross-camera person matching. Recent efforts have been sub…
Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis
Tong Sha, Wei Zhang, Tong Shen +2
Deep person generation has attracted extensive research attention due to its wide applications in virtual agents, video conferencing, online shopping and art/movie production. With…
Memory-Augmented Non-Local Attention for Video Super-Resolution
Jiyang Yu, Jingen Liu, Liefeng Bo +1
In this paper, we propose a novel video super-resolution method that aims at generating high-fidelity high-resolution (HR) videos from low-resolution (LR) ones. Previous methods pr…
X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
Yehao Li, Yingwei Pan, Jingwen Chen +2
With the rise and development of deep learning over the past decade, there has been a steady momentum of innovation and breakthroughs that convincingly push the state-of-the-art of…
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
Yu Wang, Jingyang Lin, Qi Cai +4
Unsupervised learning is just at a tipping point where it could really take off. Among these approaches, contrastive learning has seen tremendous progress and led to state-of-the-a…
Contextual Transformer Networks for Visual Recognition
Yehao Li, Ting Yao, Yingwei Pan +1
Transformer with self-attention has led to the revolutionizing of natural language processing field, and recently inspires the emergence of Transformer-style architecture design wi…
FasterPose: A Faster Simple Baseline for Human Pose Estimation
Hanbin Dai, Hailin Shi, Wu Liu +3
The performance of human pose estimation depends on the spatial accuracy of keypoint localization. Most existing methods pursue the spatial accuracy through learning the high-resol…
Augmentation Pathways Network for Visual Recognition
Yalong Bai, Mohan Zhou, Wei Zhang +2
Data augmentation is practically helpful for visual recognition, especially at the time of data scarcity. However, such success is only limited to quite a few light augmentations (…
Boosting Semi-Supervised Face Recognition with Noise Robustness
Yuchi Liu, Hailin Shi, Hang Du +4
Although deep face recognition benefits significantly from large-scale training data, a current bottleneck is the labelling cost. A feasible solution to this problem is semi-superv…
Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning
Hailin Shi, Dan Zeng, Yichun Tai +4
With the recent development of deep convolutional neural networks and large-scale datasets, deep face recognition has made remarkable progress and been widely used in various appli…
Action Unit Memory Network for Weakly Supervised Temporal Action Localization
Wang Luo, Tianzhu Zhang, Wenfei Yang +4
Weakly supervised temporal action localization aims to detect and localize actions in untrimmed videos with only video-level labels during training. However, without frame-level an…
Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
Wu Liu, Qian Bao, Yu Sun +1
Estimation of the human pose from a monocular camera has been an emerging research topic in the computer vision community with many applications. Recently, benefited from the deep…
Towards NIR-VIS Masked Face Recognition
Hang Du, Hailin Shi, Yinglu Liu +2
Near-infrared to visible (NIR-VIS) face recognition is the most common case in heterogeneous face recognition, which aims to match a pair of face images captured from two different…
Exploiting Relationship for Complex-scene Image Generation
Tianyu Hua, Hongdong Zheng, Yalong Bai +3
The significant progress on Generative Adversarial Networks (GANs) has facilitated realistic single-object image generation based on language input. However, complex-scene generati…
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition
Jiahui She, Yibo Hu, Hailin Shi +3
Due to the subjective annotation and the inherent interclass similarity of facial expressions, one of key challenges in Facial Expression Recognition (FER) is the annotation ambigu…
Group-aware Label Transfer for Domain Adaptive Person Re-identification
Kecheng Zheng, Wu Liu, Lingxiao He +3
Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims at adapting the model trained on a labeled source-domain dataset to a target-domain dataset without any furt…