1.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nankai UniversityCN185 papers
- Chinese Academy of SciencesCN114 papers
- National University of SingaporeSG63 papers
- Tsinghua UniversityCN53 papers
- University of Chinese Academy of SciencesCN50 papers
- Peking UniversityCN48 papers
- Nanyang Technological UniversitySG43 papers
- Centre National de la Recherche ScientifiqueFR39 papers
- University of Science and Technology of ChinaCN37 papers
- Peng Huanwu Center for Fundamental TheoryCN31 papers
- Beijing Normal UniversityCN29 papers
- Lanzhou UniversityCN29 papers
22 papers · 2 filters
A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition
Shuangyan Miao, Yonghong Hou, Zhimin Gao +2
This paper proposes a new graph convolutional operator called central difference graph convolution (CDGC) for skeleton based action recognition. It is not only able to aggregate no…
MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation
Yimin Dou, Kewen Li, Jianbing Zhu +3
Data-driven fault detection has been regarded as a 3D image segmentation task. The models trained from synthetic data are difficult to generalize in some surveys. Recently, trainin…
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning
Zhong Ji, Zhishen Hou, Xiyao Liu +2
Semantic information provides intra-class consistency and inter-class discriminability beyond visual concepts, which has been employed in Few-Shot Learning (FSL) to achieve further…
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji, Jin Li, Qiang Wang +1
General Continual Learning (GCL) aims at learning from non independent and identically distributed stream data without catastrophic forgetting of the old tasks that don't rely on t…
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
Ye Liu, Lei Zhu, Shunda Pei +5
Single image dehazing is a challenging task, for which the domain shift between synthetic training data and real-world testing images usually leads to degradation of existing metho…
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
Bowen Dong, Zitong Huang, Yuelin Guo +3
Weakly-supervised object detection (WSOD) has emerged as an inspiring recent topic to avoid expensive instance-level object annotations. However, the bounding boxes of most existin…
Action Unit Detection with Joint Adaptive Attention and Graph Relation
Chenggong Zhang, Juan Song, Qingyang Zhang +3
This paper describes an approach to the facial action unit (AU) detection. In this work, we present our submission to the Field Affective Behavior Analysis (ABAW) 2021 competition.…
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
Li Shen, Yao Lu, Hao Chen +6
Building-change detection underpins many important applications, especially in the military and crisis-management domains. Recent methods used for change detection have shifted tow…
JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting
Qing Guo, Xiaoguang Li, Felix Juefei-Xu +3
Image inpainting aims to restore the missing regions of corrupted images and make the recovery result identical to the originally complete image, which is different from the common…
Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval
Zhipeng Wang, Hao Wang, Jiexi Yan +2
Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) is a novel cross-modal retrieval task, where abstract sketches are used as queries to retrieve natural images under zero-shot scena…
Shape Prior Non-Uniform Sampling Guided Real-time Stereo 3D Object Detection
Aqi Gao, Jiale Cao, Yanwei Pang
Pseudo-LiDAR based 3D object detectors have gained popularity due to their high accuracy. However, these methods need dense depth supervision and suffer from inferior speed. To sol…
Disentangling Semantic-to-visual Confusion for Zero-shot Learning
Zihan Ye, Fuyuan Hu, Fan Lyu +2
Using generative models to synthesize visual features from semantic distribution is one of the most popular solutions to ZSL image classification in recent years. The triplet loss…
Step-Wise Hierarchical Alignment Network for Image-Text Matching
Zhong Ji, Kexin Chen, Haoran Wang
Image-text matching plays a central role in bridging the semantic gap between vision and language. The key point to achieve precise visual-semantic alignment lies in capturing the…
SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching
Hongzhi Du, Yanyan Li, Yanbiao Sun +2
The cost aggregation strategy shows a crucial role in learning-based stereo matching tasks, where 3D convolutional filters obtain state of the art but require intensive computation…
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
Longyin Wen, Dawei Du, Pengfei Zhu +4
To promote the developments of object detection, tracking and counting algorithms in drone-captured videos, we construct a benchmark with a new drone-captured largescale dataset, n…
UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space
Yudong Wang, Jichang Guo, Huan Gao +1
Underwater image enhancement has attracted much attention due to the rise of marine resource development in recent years. Benefit from the powerful representation capabilities of C…
Auto-Exposure Fusion for Single-Image Shadow Removal
Lan Fu, Changqing Zhou, Qing Guo +5
Shadow removal is still a challenging task due to its inherent background-dependent and spatial-variant properties, leading to unknown and diverse shadow patterns. Even powerful st…
PISE: Person Image Synthesis and Editing with Decoupled GAN
Jinsong Zhang, Kun Li, Yu-Kun Lai +1
Person image synthesis, e.g., pose transfer, is a challenging problem due to large variation and occlusion. Existing methods have difficulties predicting reasonable invisible regio…
Triple-cooperative Video Shadow Detection
Zhihao Chen, Liang Wan, Lei Zhu +4
Shadow detection in a single image has received significant research interest in recent years. However, much fewer works have been explored in shadow detection over dynamic scenes.…
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation
Chaohao Xie, Dongwei Ren, Lei Wang +1
Recently, several weakly supervised learning methods have been devoted to utilize bounding box supervision for training deep semantic segmentation models. Most existing methods usu…
Nondiscriminatory Treatment: a straightforward framework for multi-human parsing
Min Yan, Guoshan Zhang, Tong Zhang +1
Multi-human parsing aims to segment every body part of every human instance. Nearly all state-of-the-art methods follow the "detection first" or "segmentation first" pipelines. Dif…
Trear: Transformer-based RGB-D Egocentric Action Recognition
Xiangyu Li, Yonghong Hou, Pichao Wang +3
In this paper, we propose a \textbf{Tr}ansformer-based RGB-D \textbf{e}gocentric \textbf{a}ction \textbf{r}ecognition framework, called Trear. It consists of two modules, inter-fra…