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
Superpixel Segmentation Based on Spatially Constrained Subspace Clustering
Hua Li, Yuheng Jia, Runmin Cong +3
Superpixel segmentation aims at dividing the input image into some representative regions containing pixels with similar and consistent intrinsic properties, without any prior know…
Maximum Entropy Subspace Clustering Network
Zhihao Peng, Yuheng Jia, Hui Liu +2
Deep subspace clustering networks have attracted much attention in subspace clustering, in which an auto-encoder non-linearly maps the input data into a latent space, and a fully c…
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh
Ming Qian, Congyu Qiao, Jiamin Lin +4
A photo captured with bokeh effect often means objects in focus are sharp while the out-of-focus areas are all blurred. DSLR can easily render this kind of effect naturally. Howeve…
DeepCloth: Neural Garment Representation for Shape and Style Editing
Zhaoqi Su, Tao Yu, Yangang Wang +1
Garment representation, editing and animation are challenging topics in the area of computer vision and graphics. It remains difficult for existing garment representations to achie…
Drone LAMS: A Drone-based Face Detection Dataset with Large Angles and Many Scenarios
Yi Luo, Siyi Chen, X. -G. Ma
This work presented a new drone-based face detection dataset Drone LAMS in order to solve issues of low performance of drone-based face detection in scenarios such as large angles…
AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild
Zhe Zhang, Chunyu Wang, Weichao Qiu +2
Occlusion is probably the biggest challenge for human pose estimation in the wild. Typical solutions often rely on intrusive sensors such as IMUs to detect occluded joints. To make…
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition
Yang Li, Boxun Fu, Fu Li +2
The existed methods for electroencephalograph (EEG) emotion recognition always train the models based on all the EEG samples indistinguishably. However, some of the source (trainin…
Deep Image Clustering with Category-Style Representation
Junjie Zhao, Donghuan Lu, Kai Ma +2
Deep clustering which adopts deep neural networks to obtain optimal representations for clustering has been widely studied recently. In this paper, we propose a novel deep image cl…
Marginal loss and exclusion loss for partially supervised multi-organ segmentation
Gonglei Shi, Li Xiao, Yang Chen +1
Annotating multiple organs in medical images is both costly and time-consuming; therefore, existing multi-organ datasets with labels are often low in sample size and mostly partial…
ACFD: Asymmetric Cartoon Face Detector
Bin Zhang, Jian Li, Yabiao Wang +5
Cartoon face detection is a more challenging task than human face detection due to many difficult scenarios is involved. Aiming at the characteristics of cartoon faces, such as hug…
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach
Zhe Zhang, Chunyu Wang, Wenhu Qin +1
We propose to estimate 3D human pose from multi-view images and a few IMUs attached at person's limbs. It operates by firstly detecting 2D poses from the two signals, and then lift…
SiTGRU: Single-Tunnelled Gated Recurrent Unit for Abnormality Detection
Habtamu Fanta, Zhiwen Shao, Lizhuang Ma
Abnormality detection is a challenging task due to the dependence on a specific context and the unconstrained variability of practical scenarios. In recent years, it has benefited…
Copy and Paste GAN: Face Hallucination from Shaded Thumbnails
Yang Zhang, Ivor Tsang, Yawei Luo +3
Existing face hallucination methods based on convolutional neural networks (CNN) have achieved impressive performance on low-resolution (LR) faces in a normal illumination conditio…
A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence
Chen Zhang, Xiaobo Lu, Zhiliang Huang
Researches show that fatigue driving is one of the important causes of road traffic accidents, so it is of great significance to study the driver fatigue recognition algorithm to i…
Deconfounded Image Captioning: A Causal Retrospect
Xu Yang, Hanwang Zhang, Jianfei Cai
Dataset bias in vision-language tasks is becoming one of the main problems which hinders the progress of our community. Existing solutions lack a principled analysis about why mode…
Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge
Joseph P. Robinson, Yu Yin, Zaid Khan +7
Recognizing Families In the Wild (RFIW): an annual large-scale, multi-track automatic kinship recognition evaluation that supports various visual kin-based problems on scales much…
Face Hallucination with Finishing Touches
Yang Zhang, Ivor W. Tsang, Jun Li +3
Obtaining a high-quality frontal face image from a low-resolution (LR) non-frontal face image is primarily important for many facial analysis applications. However, mainstreams eit…
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
Hao Chen, Kunyang Sun, Zhi Tian +3
Instance segmentation is one of the fundamental vision tasks. Recently, fully convolutional instance segmentation methods have drawn much attention as they are often simpler and mo…