858 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Artificial Intelligence LaboratoryCN102 papers
- University of Chinese Academy of SciencesCN77 papers
- Chinese Academy of SciencesCN73 papers
- Peking UniversityCN67 papers
- Tsinghua UniversityCN65 papers
- Institute of AutomationCN58 papers
- Shandong Institute of AutomationCN35 papers
- Shanghai Jiao Tong UniversityCN34 papers
- Beihang UniversityCN25 papers
- Fudan UniversityCN25 papers
- Center for Excellence in Brain Science and Intelligence TechnologyCN20 papers
- Chinese University of Hong KongHK19 papers
19 papers · 1 filter
Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension
Xiuying Chen, Zhi Cui, Jiayi Zhang +5
In multi-turn dialog, utterances do not always take the full form of sentences \cite{Carbonell1983DiscoursePA}, which naturally makes understanding the dialog context more difficul…
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
Si Sun, Yingzhuo Qian, Zhenghao Liu +5
The effectiveness of Neural Information Retrieval (Neu-IR) often depends on a large scale of in-domain relevance training signals, which are not always available in real-world rank…
Mask-Align: Self-Supervised Neural Word Alignment
Chi Chen, Maosong Sun, Yang Liu
Word alignment, which aims to align translationally equivalent words between source and target sentences, plays an important role in many natural language processing tasks. Current…
Optimal vaccination program for two infectious diseases with cross immunity
Yang Ye, Qingpeng Zhang, Zhidong Cao +1
There are often multiple diseases with cross immunity competing for vaccination resources. Here we investigate the optimal vaccination program in a two-layer Susceptible-Infected-R…
Pixel-wise Dense Detector for Image Inpainting
Ruisong Zhang, Weize Quan, Baoyuan Wu +2
Recent GAN-based image inpainting approaches adopt an average strategy to discriminate the generated image and output a scalar, which inevitably lose the position information of vi…
Manual-Label Free 3D Detection via An Open-Source Simulator
Zhen Yang, Chi Zhang, Huiming Guo +1
LiDAR based 3D object detectors typically need a large amount of detailed-labeled point cloud data for training, but these detailed labels are commonly expensive to acquire. In thi…
Turbulent Details Simulation for SPH Fluids via Vorticity Refinement
Sinuo Liu, Xiaokun Wang, Xiaojuan Ban +4
A major issue in Smoothed Particle Hydrodynamics (SPH) approaches is the numerical dissipation during the projection process, especially under coarse discretizations. High-frequenc…
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition
Jinting Wu, Yujia Zhang, Xiaoguang Zhao
Hand gesture recognition plays a significant role in human-computer interaction for understanding various human gestures and their intent. However, most prior works can only recogn…
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation
Naiyu Gao, Yanhu Shan, Xin Zhao +1
Panoptic segmentation (PS) is a complex scene understanding task that requires providing high-quality segmentation for both thing objects and stuff regions. Previous methods handle…
OpenAttack: An Open-source Textual Adversarial Attack Toolkit
Guoyang Zeng, Fanchao Qi, Qianrui Zhou +6
Textual adversarial attacking has received wide and increasing attention in recent years. Various attack models have been proposed, which are enormously distinct and implemented wi…
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
Hongchen Tan, Xiuping Liu, Baocai Yin +1
This paper presents a novel person re-identification model, named Multi-Head Self-Attention Network (MHSA-Net), to prune unimportant information and capture key local information f…
Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition
Yi-Fan Song, Zhang Zhang, Caifeng Shan +1
Current methods for skeleton-based human action recognition usually work with complete skeletons. However, in real scenarios, it is inevitable to capture incomplete or noisy skelet…
Convolutional Ordinal Regression Forest for Image Ordinal Estimation
Haiping Zhu, Hongming Shan, Yuheng Zhang +5
Image ordinal estimation is to predict the ordinal label of a given image, which can be categorized as an ordinal regression problem. Recent methods formulate an ordinal regression…
Modeling Voting for System Combination in Machine Translation
Xuancheng Huang, Jiacheng Zhang, Zhixing Tan +5
System combination is an important technique for combining the hypotheses of different machine translation systems to improve translation performance. Although early statistical ap…
Reference-guided Face Component Editing
Qiyao Deng, Jie Cao, Yunfan Liu +3
Face portrait editing has achieved great progress in recent years. However, previous methods either 1) operate on pre-defined face attributes, lacking the flexibility of controllin…
On the Inference Calibration of Neural Machine Translation
Shuo Wang, Zhaopeng Tu, Shuming Shi +1
Confidence calibration, which aims to make model predictions equal to the true correctness measures, is important for neural machine translation (NMT) because it is able to offer u…
Graph Neural Network based Channel Tracking for Massive MIMO Networks
Yindi Yang, Shun Zhang, Feifei Gao +2
In this paper, we resort to the graph neural network (GNN) and propose the new channel tracking method for the massive multiple-input multiple-output networks under the high mobili…
Self-Learning with Rectification Strategy for Human Parsing
Tao Li, Zhiyuan Liang, Sanyuan Zhao +2
In this paper, we solve the sample shortage problem in the human parsing task. We begin with the self-learning strategy, which generates pseudo-labels for unlabeled data to retrain…
Deep Audio-Visual Learning: A Survey
Hao Zhu, Mandi Luo, Rui Wang +2
Audio-visual learning, aimed at exploiting the relationship between audio and visual modalities, has drawn considerable attention since deep learning started to be used successfull…