Zhejiang University

∙ Hangzhou , China ∙ 0 followers

12083 Zhejiang University, usually referred to as Zhèdà, is an elite C9 League university in Zhejiang province.

Featured Researchers

Wei Wang
178 publications
Yu Zhang
145 publications
Wei Zhang
137 publications
Rui Wang
106 publications
Wei Chen
94 publications
Yang Yang
87 publications
Yue Wang
85 publications
Yan Zhang
80 publications
Li Zhang
75 publications
Yang Li
74 publications
Zheng Zhang
69 publications

Stable Prediction with Model Misspecification and Agnostic Distribution Shift

For many machine learning algorithms, two main assumptions are required ...
01/31/2020 ∙ by Kun Kuang, et al. ∙ 95 ∙ share

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Distillating Knowledge from Graph Convolutional Networks

Existing knowledge distillation methods focus on convolutional neural ne...
03/23/2020 ∙ by Yiding Yang, et al. ∙ 70 ∙ share

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Interaction Embeddings for Prediction and Explanation in Knowledge Graphs

Knowledge graph embedding aims to learn distributed representations for ...
03/12/2019 ∙ by Wen Zhang, et al. ∙ 32 ∙ share

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Person-in-WiFi: Fine-grained Person Perception using WiFi

Fine-grained person perception such as body segmentation and pose estima...
03/30/2019 ∙ by Fei Wang, et al. ∙ 28 ∙ share

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Monte Carlo Neural Fictitious Self-Play: Achieve Approximate Nash equilibrium of Imperfect-Information Games

Researchers on artificial intelligence have achieved human-level intelli...
03/22/2019 ∙ by Li Zhang, et al. ∙ 24 ∙ share

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Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons

This paper proposes an unsupervised address event representation (AER) o...
11/19/2019 ∙ by Qianhui Liu, et al. ∙ 24 ∙ share

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Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking

Dialog State Tracking (DST) is a core component in task-oriented dialog ...
10/08/2019 ∙ by Jian-Guo Zhang, et al. ∙ 23 ∙ share

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Progressive Feature Polishing Network for Salient Object Detection

Feature matters for salient object detection. Existing methods mainly fo...
11/14/2019 ∙ by Bo Wang, et al. ∙ 22 ∙ share

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Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning

Relation extraction aims to extract relational facts from sentences. Pre...
08/22/2019 ∙ by Ningyu Zhang, et al. ∙ 21 ∙ share

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BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

While deep learning has recently achieved great success on multi-view st...
11/22/2019 ∙ by Yao Yao, et al. ∙ 21 ∙ share

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Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation

Deep learning has been widely used for hyperspectral pixel classificatio...
04/16/2019 ∙ by Jingzhou Chen, et al. ∙ 20 ∙ share

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Online Knowledge Distillation with Diverse Peers

Distillation is an effective knowledge-transfer technique that uses pred...
12/01/2019 ∙ by Defang Chen, et al. ∙ 20 ∙ share

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EmbedMask: Embedding Coupling for One-stage Instance Segmentation

Current instance segmentation methods can be categorized into segmentati...
12/04/2019 ∙ by Hui Ying, et al. ∙ 20 ∙ share

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PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud

In this paper, we propose PASS3D to achieve point-wise semantic segmenta...
09/04/2019 ∙ by Xin Kong, et al. ∙ 19 ∙ share

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PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module

LIDAR point clouds and RGB-images are both extremely essential for 3D ob...
11/14/2019 ∙ by Liang Xie, et al. ∙ 19 ∙ share

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Appearance Composing GAN: A General Method for Appearance-Controllable Human Video Motion Transfer

Due to the rapid development of GANs, there has been significant progres...
11/25/2019 ∙ by Dongxu Wei, et al. ∙ 19 ∙ share

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Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views

This paper addresses the problem of 3D pose estimation for multiple peop...
01/14/2019 ∙ by Junting Dong, et al. ∙ 18 ∙ share

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Policy Optimization with Stochastic Mirror Descent

Stochastic mirror descent (SMD) keeps the advantages of simplicity of im...
06/25/2019 ∙ by Long Yang, et al. ∙ 16 ∙ share

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Adaptive Graph Representation Learning for Video Person Re-identification

Recent years have witnessed a great development of deep learning based v...
09/05/2019 ∙ by Yiming Wu, et al. ∙ 16 ∙ share

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Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features

Recently, Convolutional Neural Networks (CNNs) have been successfully ad...
12/09/2019 ∙ by Du Chen, et al. ∙ 15 ∙ share

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DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images

Change detection is a basic task of remote sensing image processing. The...
03/07/2020 ∙ by Jie Chen, et al. ∙ 15 ∙ share

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EllipBody: A Light-weight and Part-based Representation for Human Pose and Shape Recovery

Human pose and shape recovery is an important task in computer vision an...
03/24/2020 ∙ by Min Wang, et al. ∙ 15 ∙ share

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Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection

Effective fusion of complementary information captured by multi-modal se...
02/14/2019 ∙ by Yanpeng Cao, et al. ∙ 14 ∙ share

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R^2-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images

Recently, convolutional neural network has brought impressive improvemen...
02/16/2019 ∙ by Jiangmiao Pang, et al. ∙ 14 ∙ share

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Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification

Due to its potential wide applications in video surveillance and other c...
02/29/2020 ∙ by Xing Fan, et al. ∙ 14 ∙ share

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Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval

Product Quantization (PQ) has long been a mainstream for generating an e...
06/16/2019 ∙ by Lianli Gao, et al. ∙ 13 ∙ share

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Diversified Arbitrary Style Transfer via Deep Feature Perturbation

Image style transfer is an underdetermined problem, where a large number...
09/18/2019 ∙ by Zhizhong Wang, et al. ∙ 13 ∙ share

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Data-Free Adversarial Distillation

Knowledge Distillation (KD) has made remarkable progress in the last few...
12/23/2019 ∙ by Gongfan Fang, et al. ∙ 13 ∙ share

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Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation

To satisfy the stringent requirements on computational resources in the ...
03/31/2020 ∙ by Peng Sun, et al. ∙ 13 ∙ share

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Eavesdrop the Composition Proportion of Training Labels in Federated Learning

Federated learning (FL) has recently emerged as a new form of collaborat...
10/14/2019 ∙ by Lixu Wang, et al. ∙ 12 ∙ share

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Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting

Many approaches have recently been proposed to detect irregular scene te...
02/17/2020 ∙ by Liang Qiao, et al. ∙ 12 ∙ share

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Physics-informed semantic inpainting: Application to geostatistical modeling

A fundamental problem in geostatistical modeling is to infer the heterog...
09/19/2019 ∙ by Qiang Zheng, et al. ∙ 11 ∙ share

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Adaptive Fusion for RGB-D Salient Object Detection

RGB-D salient object detection aims to identify the most visually distin...
01/05/2019 ∙ by Ningning Wang, et al. ∙ 10 ∙ share

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Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering

Recently, distant supervision has gained great success on Fine-grained E...
04/13/2019 ∙ by Bo Chen, et al. ∙ 10 ∙ share

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A Co-analysis Framework for Exploring Multivariate Scientific Data

In complex multivariate data sets, different features usually include di...
08/19/2019 ∙ by Xiangyang He, et al. ∙ 10 ∙ share

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Face-to-Parameter Translation for Game Character Auto-Creation

Character customization system is an important component in Role-Playing...
09/03/2019 ∙ by Tianyang Shi, et al. ∙ 10 ∙ share

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Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds

Constructing high-quality generative models for 3D shapes is a fundament...
12/13/2019 ∙ by Vage Egiazarian, et al. ∙ 10 ∙ share

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Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network

Convolutional Neural Network (CNN) is intensively implemented to solve s...
03/07/2020 ∙ by Yuxin Zhang, et al. ∙ 10 ∙ share

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SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics

Traditional control and task automation have been successfully demonstra...
09/11/2019 ∙ by Yang Li, et al. ∙ 9 ∙ share

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Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset

Understanding interior scenes has attracted enormous interest in compute...
11/21/2019 ∙ by Bingyuan Liu, et al. ∙ 9 ∙ share

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Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation

The growing momentum of instrumenting the Internet of Things (IoT) with ...
12/20/2019 ∙ by Dixing Xu, et al. ∙ 9 ∙ share

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SketchDesc: Learning Local Sketch Descriptors for Multi-view Correspondence

In this paper, we study the problem of multi-view sketch correspondence,...
01/16/2020 ∙ by Deng Yu, et al. ∙ 9 ∙ share

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Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images

Semantic segmentation has made striking progress due to the success of d...
02/24/2020 ∙ by Lei Sun, et al. ∙ 9 ∙ share

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Collaborative Distillation for Ultra-Resolution Universal Style Transfer

Universal style transfer methods typically leverage rich representations...
03/18/2020 ∙ by Huan Wang, et al. ∙ 9 ∙ share

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Manifold Adversarial Learning

The recently proposed adversarial training methods show the robustness t...
07/16/2018 ∙ by Shufei Zhang, et al. ∙ 8 ∙ share

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Double Weighted Truncated Nuclear Norm Regularization for Low-Rank Matrix Completion

Matrix completion focuses on recovering a matrix from a small subset of ...
01/07/2019 ∙ by Shengke Xue, et al. ∙ 8 ∙ share

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Field-aware Neural Factorization Machine for Click-Through Rate Prediction

Recommendation systems and computing advertisements have gradually enter...
02/25/2019 ∙ by Li Zhang, et al. ∙ 8 ∙ share

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Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

Reasoning is essential for the development of large knowledge graphs, es...
03/21/2019 ∙ by Wen Zhang, et al. ∙ 8 ∙ share

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Modeling Combinatorial Evolution in Time Series Prediction

Time series modeling aims to capture the intrinsic factors underpinning ...
05/10/2019 ∙ by Wenjie Hu, et al. ∙ 8 ∙ share

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A GAN-based Tunable Image Compression System

The method of importance map has been widely adopted in DNN-based lossy ...
01/18/2020 ∙ by Lirong Wu, et al. ∙ 8 ∙ share

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