1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Chinese Academy of SciencesCN72 papers
- Chinese Academy of SciencesCN70 papers
- Institute of AutomationCN57 papers
- Beijing Academy of Artificial IntelligenceCN20 papers
- Institute of Computing TechnologyCN11 papers
- Shandong Institute of AutomationCN11 papers
- University of Science and Technology of ChinaCN5 papers
- Peng Cheng LaboratoryCN4 papers
- Tsinghua UniversityCN4 papers
- Horizon Robotics (China)3 papers
- Ningbo Institute of Industrial TechnologyCN3 papers
- Tongji UniversityCN3 papers
17 papers · 1 filter
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule
Yunzhe Hao, Xuhui Huang, Meng Dong +1
Spiking neural networks (SNNs) possess energy-efficient potential due to event-based computation. However, supervised training of SNNs remains a challenge as spike activities are n…
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks
Jing Shi, Jiaming Xu, Yiqun Yao +1
Deep neural networks have shown superior performance in many regimes to remember familiar patterns with large amounts of data. However, the standard supervised deep learning paradi…
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
Lianghua Huang, Xin Zhao, Kaiqi Huang
We introduce here a large tracking database that offers an unprecedentedly wide coverage of common moving objects in the wild, called GOT-10k. Specifically, GOT-10k is built upon t…
Continual Learning of Context-dependent Processing in Neural Networks
Guanxiong Zeng, Yang Chen, Bo Cui +1
Deep neural networks (DNNs) are powerful tools in learning sophisticated but fixed mapping rules between inputs and outputs, thereby limiting their application in more complex and…
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
Zheng Lian, Ya Li, Jianhua Tao +1
Automatic emotion recognition is a challenging task. In this paper, we present our effort for the audio-video based sub-challenge of the Emotion Recognition in the Wild (EmotiW) 20…
Global and Local Consistent Wavelet-domain Age Synthesis
Peipei Li, Yibo Hu, Ran He +1
Age synthesis is a challenging task due to the complicated and non-linear transformation in human aging process. Aging information is usually reflected in local facial parts, such…
Geometry-Aware Face Completion and Editing
Linsen Song, Jie Cao, Linxiao Song +2
Face completion is a challenging generation task because it requires generating visually pleasing new pixels that are semantically consistent with the unmasked face region. This pa…
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing
Chaoyou Fu, Liangchen Song, Xiang Wu +2
Deep supervised hashing has become an active topic in information retrieval. It generates hashing bits by the output neurons of a deep hashing network. During binary discretization…
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification
Yang Du, Chunfeng Yuan, Bing Li +3
Local features at neighboring spatial positions in feature maps have high correlation since their receptive fields are often overlapped. Self-attention usually uses the weighted su…
Phrase Table as Recommendation Memory for Neural Machine Translation
Yang Zhao, Yining Wang, Jiajun Zhang +1
Neural Machine Translation (NMT) has drawn much attention due to its promising translation performance recently. However, several studies indicate that NMT often generates fluent b…
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition
Zhiyuan Li, Nanjun Teng, Min Jin +1
Deep convolutional networks based methods have brought great breakthrough in images classification, which provides an end-to-end solution for handwritten Chinese character recognit…
Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
Xuepeng Shi, Shiguang Shan, Meina Kan +2
Rotation-invariant face detection, i.e. detecting faces with arbitrary rotation-in-plane (RIP) angles, is widely required in unconstrained applications but still remains as a chall…
Learning Depth from Single Images with Deep Neural Network Embedding Focal Length
Lei He, Guanghui Wang, Zhanyi Hu
Learning depth from a single image, as an important issue in scene understanding, has attracted a lot of attention in the past decade. The accuracy of the depth estimation has been…
Discriminative Learning of Latent Features for Zero-Shot Recognition
Yan Li, Junge Zhang, Jianguo Zhang +1
Zero-shot learning (ZSL) aims to recognize unseen image categories by learning an embedding space between image and semantic representations. For years, among existing works, it ha…
Shift-Net: Image Inpainting via Deep Feature Rearrangement
Zhaoyi Yan, Xiaoming Li, Mu Li +2
Deep convolutional networks (CNNs) have exhibited their potential in image inpainting for producing plausible results. However, in most existing methods, e.g., context encoder, the…
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks
Yupei Wang, Xin Zhao, Yin Li +1
Edge detection has made significant progress with the help of deep Convolutional Networks (ConvNet). These ConvNet based edge detectors have approached human level performance on s…
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach
Lingxiao He, Jian Liang, Haiqing Li +1
Partial person re-identification (re-id) is a challenging problem, where only several partial observations (images) of people are available for matching. However, few studies have…