Zhejiang University

research

∙ 01/31/2020

Stable Prediction with Model Misspecification and Agnostic Distribution Shift

For many machine learning algorithms, two main assumptions are required ...

Kun Kuang, et al. ∙

research

∙ 03/23/2020

Distillating Knowledge from Graph Convolutional Networks

Existing knowledge distillation methods focus on convolutional neural ne...

Yiding Yang, et al. ∙

research

∙ 08/28/2021

DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network

Depth Completion can produce a dense depth map from a sparse input and p...

Jiaqi Gu, et al. ∙

research

∙ 05/02/2021

Billion-scale Pre-trained E-commerce Product Knowledge Graph Model

In recent years, knowledge graphs have been widely applied to organize d...

Wen Zhang, et al. ∙

research

∙ 12/22/2020

FcaNet: Frequency Channel Attention Networks

Attention mechanism, especially channel attention, has gained great succ...

Zequn Qin, et al. ∙

research

∙ 03/12/2019

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs

Knowledge graph embedding aims to learn distributed representations for ...

Wen Zhang, et al. ∙

research

∙ 03/30/2019

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

Fine-grained person perception such as body segmentation and pose estima...

Fei Wang, et al. ∙

research

∙ 06/09/2020

Stable Prediction via Leveraging Seed Variable

In this paper, we focus on the problem of stable prediction across unkno...

Kun Kuang, et al. ∙

research

∙ 07/01/2022

VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations

Vision-Language Pretraining (VLP) models have recently successfully faci...

Tiancheng Zhao, et al. ∙

research

∙ 05/11/2022

READ: Large-Scale Neural Scene Rendering for Autonomous Driving

Synthesizing free-view photo-realistic images is an important task in mu...

Zhuopeng Li, et al. ∙

research

∙ 05/08/2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

This paper reviews the NTIRE 2020 challenge on real image denoising with...

Abdelrahman Abdelhamed, et al. ∙

research

∙ 05/09/2020

Vehicle Re-Identification Based on Complementary Features

In this work, we present our solution to the vehicle re-identification (...

Cunyuan Gao, et al. ∙

research

∙ 03/22/2019

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

Researchers on artificial intelligence have achieved human-level intelli...

Li Zhang, et al. ∙

research

∙ 11/19/2019

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

This paper proposes an unsupervised address event representation (AER) o...

Qianhui Liu, et al. ∙

research

∙ 08/04/2021

VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models

Machine learning (ML) is increasingly applied to Electronic Health Recor...

Furui Cheng, et al. ∙

research

∙ 10/08/2019

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 ...

Jian-Guo Zhang, et al. ∙

research

∙ 05/25/2022

Efficient Textured Mesh Recovery from Multiple Views with Differentiable Rendering

Despite of the promising results on shape and color recovery using self-...

Lixiang Lin, et al. ∙

research

∙ 11/14/2019

Progressive Feature Polishing Network for Salient Object Detection

Feature matters for salient object detection. Existing methods mainly fo...

Bo Wang, et al. ∙

research

∙ 07/28/2021

Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection

Reconstruction-based methods play an important role in unsupervised anom...

Jinlei Hou, et al. ∙

research

∙ 08/22/2019

Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning

Relation extraction aims to extract relational facts from sentences. Pre...

Ningyu Zhang, et al. ∙

research

∙ 11/22/2019

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

While deep learning has recently achieved great success on multi-view st...

Yao Yao, et al. ∙

research

∙ 04/13/2022

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

3D-aware image synthesis aims to generate images of objects from multipl...

Xuanmeng Zhang, et al. ∙

research

∙ 04/16/2019

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

Deep learning has been widely used for hyperspectral pixel classificatio...

Jingzhou Chen, et al. ∙

research

∙ 12/01/2019

Online Knowledge Distillation with Diverse Peers

Distillation is an effective knowledge-transfer technique that uses pred...

Defang Chen, et al. ∙

research

∙ 12/04/2019

EmbedMask: Embedding Coupling for One-stage Instance Segmentation

Current instance segmentation methods can be categorized into segmentati...

Hui Ying, et al. ∙

research

∙ 09/04/2019

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

In this paper, we propose PASS3D to achieve point-wise semantic segmenta...

Xin Kong, et al. ∙

research

∙ 11/14/2019

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...

Liang Xie, et al. ∙

research

∙ 11/25/2019

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...

Dongxu Wei, et al. ∙

research

∙ 12/14/2021

TopNet: Learning from Neural Topic Model to Generate Long Stories

Long story generation (LSG) is one of the coveted goals in natural langu...

Yazheng Yang, et al. ∙

research

∙ 01/14/2019

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

This paper addresses the problem of 3D pose estimation for multiple peop...

Junting Dong, et al. ∙

research

∙ 06/02/2020

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding

We aim at solving the problem of predicting people's ideology, or politi...

Zhiping Xiao, et al. ∙

research

∙ 07/15/2021

Only Train Once: A One-Shot Neural Network Training And Pruning Framework

Structured pruning is a commonly used technique in deploying deep neural...

Tianyi Chen, et al. ∙

research

∙ 02/27/2022

Learning the Beauty in Songs: Neural Singing Voice Beautifier

We are interested in a novel task, singing voice beautifying (SVB). Give...

Jinglin Liu, et al. ∙

research

∙ 10/12/2021

On the Security Risks of AutoML

Neural Architecture Search (NAS) represents an emerging machine learning...

Ren Pang, et al. ∙

research

∙ 12/25/2021

NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification

Deep neural networks (DNNs) have demonstrated their outperformance in va...

Haibin Zheng, et al. ∙

research

∙ 01/30/2022

Neural Architecture Ranker

Architecture ranking has recently been advocated to design an efficient ...

Bicheng Guo, et al. ∙

research

∙ 06/25/2019

Policy Optimization with Stochastic Mirror Descent

Stochastic mirror descent (SMD) keeps the advantages of simplicity of im...

Long Yang, et al. ∙

research

∙ 09/05/2019

Adaptive Graph Representation Learning for Video Person Re-identification

Recent years have witnessed a great development of deep learning based v...

Yiming Wu, et al. ∙

research

∙ 12/13/2021

N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks

We present a novel mesh-based learning approach (N-Cloth) for plausible ...

Yudi Li, et al. ∙

research

∙ 12/24/2021

NIP: Neuron-level Inverse Perturbation Against Adversarial Attacks

Although deep learning models have achieved unprecedented success, their...

Ruoxi Chen, et al. ∙

research

∙ 12/09/2019

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...

Du Chen, et al. ∙

research

∙ 03/07/2020

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...

Jie Chen, et al. ∙

research

∙ 03/24/2020

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...

Min Wang, et al. ∙

research

∙ 08/23/2021

Efficient Medical Image Segmentation Based on Knowledge Distillation

Recent advances have been made in applying convolutional neural networks...

Dian Qin, et al. ∙

research

∙ 06/09/2022

Efficient Human Pose Estimation via 3D Event Point Cloud

Human Pose Estimation (HPE) based on RGB images has experienced a rapid ...

Jiaan Chen, et al. ∙

research

∙ 02/14/2019

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...

Yanpeng Cao, et al. ∙

research

∙ 02/16/2019

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

Recently, convolutional neural network has brought impressive improvemen...

Jiangmiao Pang, et al. ∙

research

∙ 02/29/2020

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...

Xing Fan, et al. ∙

research

∙ 03/31/2020

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

To satisfy the stringent requirements on computational resources in the ...

Peng Sun, et al. ∙

research

∙ 07/01/2020

A Dataset for Evaluating Multi-spectral Motion Estimation Methods

Visible images have been widely used for indoor motion estimation. Therm...

Weichen Dai, et al. ∙

Zhejiang University

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