223 citations · 297 across the 11 of their papers we have counts for
11 papers
Attentive Convolution: Unifying the Expressivity of Self-Attention with Convolutional Efficiency
Hao Yu, Haoyu Chen, Yan Jiang +4
Self-attention (SA) has become the cornerstone of modern vision backbones for its powerful expressivity over traditional Convolutions (Conv). However, its quadratic complexity rema…
Modality Unifying Network for Visible-Infrared Person Re-Identification
Hao Yu, Xu Cheng, Wei Peng +2
Visible-infrared person re-identification (VI-ReID) is a challenging task due to large cross-modality discrepancies and intra-class variations. Existing methods mainly focus on lea…
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry
Yawen Cui, Zitong Yu, Wei Peng +1
Few-Shot Class-Incremental Learning (FSCIL) aims at incrementally learning novel classes from a few labeled samples by avoiding the overfitting and catastrophic forgetting simultan…
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition
Jinsheng Wei, Wei Peng, Guanming Lu +3
Micro-expression recognition (MER) is valuable because micro-expressions (MEs) can reveal genuine emotions. Most works take image sequences as input and cannot effectively explore…
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks
Wei Peng, Li Feng, Guoying Zhao +1
The inherent slow imaging speed of Magnetic Resonance Image (MRI) has spurred the development of various acceleration methods, typically through heuristically undersampling the MRI…
Hyperbolic Deep Neural Networks: A Survey
Wei Peng, Tuomas Varanka, Abdelrahman Mostafa +2
Recently, there has been a rising surge of momentum for deep representation learning in hyperbolic spaces due to theirhigh capacity of modeling data like knowledge graphs or synony…
2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework
Haoyu Chen, Zitong Yu, Xin Liu +3
To address the problem of training on small datasets for action recognition tasks, most prior works are either based on a large number of training samples or require pre-trained mo…
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition
Wei Peng, Jingang Shi, Zhaoqiang Xia +1
Graph Convolutional Networks (GCNs) have already demonstrated their powerful ability to model the irregular data, e.g., skeletal data in human action recognition, providing an exci…
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition
Zhaoqiang Xia, Wei Peng, Huai-Qian Khor +2
Composite-database micro-expression recognition is attracting increasing attention as it is more practical to real-world applications. Though the composite database provides more s…
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
Wei Peng, Xiaopeng Hong, Haoyu Chen +1
Human action recognition from skeleton data, fueled by the Graph Convolutional Network (GCN), has attracted lots of attention, due to its powerful capability of modeling non-Euclid…
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
Zitong Yu, Wei Peng, Xiaobai Li +2
Remote photoplethysmography (rPPG), which aims at measuring heart activities without any contact, has great potential in many applications (e.g., remote healthcare). Existing rPPG…