1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nanjing UniversityCN486 papers
- University of Science and Technology of ChinaCN408 papers
- Tsinghua UniversityCN404 papers
- Peking UniversityCN401 papers
- Shanghai Jiao Tong UniversityCN383 papers
- Zhejiang UniversityCN380 papers
- University of Chinese Academy of SciencesCN369 papers
- Sun Yat-sen UniversityCN366 papers
- Institute of High Energy PhysicsCN364 papers
- Lanzhou UniversityCN358 papers
- Nanjing Normal UniversityCN358 papers
- Zhengzhou UniversityCN353 papers
18 papers · 2 filters
Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition
Xingxun Jiang, Yuan Zong, Wenming Zheng +2
Cross-Database Micro-Expression Recognition (CDMER) aims to develop the Micro-Expression Recognition (MER) methods with strong domain adaptability, i.e., the ability to recognize t…
Deep Attention-guided Graph Clustering with Dual Self-supervision
Zhihao Peng, Hui Liu, Yuheng Jia +1
Existing deep embedding clustering works only consider the deepest layer to learn a feature embedding and thus fail to well utilize the available discriminative information from cl…
Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View Cameras
Buzhen Huang, Yuan Shu, Tianshu Zhang +1
Dynamic multi-person mesh recovery has been a hot topic in 3D vision recently. However, few works focus on the multi-person motion capture from uncalibrated cameras, which mainly f…
Disentangled High Quality Salient Object Detection
Lv Tang, Bo Li, Shouhong Ding +1
Aiming at discovering and locating most distinctive objects from visual scenes, salient object detection (SOD) plays an essential role in various computer vision systems. Coming to…
Adaptive Attribute and Structure Subspace Clustering Network
Zhihao Peng, Hui Liu, Yuheng Jia +1
Deep self-expressiveness-based subspace clustering methods have demonstrated effectiveness. However, existing works only consider the attribute information to conduct the self-expr…
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds
Longkun Zou, Hui Tang, Ke Chen +1
The point cloud representation of an object can have a large geometric variation in view of inconsistent data acquisition procedure, which thus leads to domain discrepancy due to d…
Attention-driven Graph Clustering Network
Zhihao Peng, Hui Liu, Yuheng Jia +1
The combination of the traditional convolutional network (i.e., an auto-encoder) and the graph convolutional network has attracted much attention in clustering, in which the auto-e…
Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing
Zhuoyi Zhang, Cheng Jiang, Xiya Zhong +2
Face anti-spoofing is an important task to protect the security of face recognition. Most of previous work either struggle to capture discriminative and generalizable feature or re…
Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification
Shujun Yang, Junhui Hou, Yuheng Jia +2
In this paper, we propose a novel classification scheme for the remotely sensed hyperspectral image (HSI), namely SP-DLRR, by comprehensively exploring its unique characteristics,…
Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails
Yang Zhang, Xin Yu, Xiaobo Lu +1
In this paper, we study the task of hallucinating an authentic high-resolution (HR) face from an occluded thumbnail. We propose a multi-stage Progressive Upsampling and Inpainting…
Video Based Fall Detection Using Human Poses
Ziwei Chen, Yiye Wang, Wankou Yang
Video based fall detection accuracy has been largely improved due to the recent progress on deep convolutional neural networks. However, there still exists some challenges, such as…
Real-Time Super-Resolution System of 4K-Video Based on Deep Learning
Yanpeng Cao, Chengcheng Wang, Changjun Song +2
Video super-resolution (VSR) technology excels in reconstructing low-quality video, avoiding unpleasant blur effect caused by interpolation-based algorithms. However, vast computat…
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition
Qirong Mao, Ling Zhou, Wenming Zheng +2
Micro-expression recognition (\textbf{MER}) has attracted lots of researchers' attention in a decade. However, occlusion will occur for MER in real-world scenarios. This paper deep…
SGE net: Video object detection with squeezed GRU and information entropy map
Rui Su, Wenjing Huang, Haoyu Ma +2
Recently, deep learning based video object detection has attracted more and more attention. Compared with object detection of static images, video object detection is more challeng…
Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images
Guang-Quan Zhou, Juzheng Miao, Xin Yang +7
Automatic and accurate detection of anatomical landmarks is an essential operation in medical image analysis with a multitude of applications. Recent deep learning methods have imp…
Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space
Lin Wu, Teng Wang, Changyin Sun
Visual place recognition is one of the essential and challenging problems in the fields of robotics. In this letter, we for the first time explore the use of multi-modal fusion of…
SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud
Ziyu Li, Yuncong Yao, Zhibin Quan +2
LiDAR-based 3D object detection pushes forward an immense influence on autonomous vehicles. Due to the limitation of the intrinsic properties of LiDAR, fewer points are collected a…
Metaknowledge Extraction Based on Multi-Modal Documents
Shukan Liu, Ruilin Xu, Boying Geng +3
The triple-based knowledge in large-scale knowledge bases is most likely lacking in structural logic and problematic of conducting knowledge hierarchy. In this paper, we introduce…