Peking University

research

∙ 02/23/2020

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks

Deep neural networks often consist of a great number of trainable parame...

Yehui Tang, et al. ∙

research

∙ 09/23/2021

Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning

Seismic full waveform inversion (FWI) is a powerful geophysical imaging ...

Fangshu Yang, et al. ∙

research

∙ 11/27/2019

AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks

State-of-the-art methods in the unpaired image-to-image translation are ...

Hao Tang, et al. ∙

research

∙ 12/06/2019

Influenza Modeling Based on Massive Feature Engineering and International Flow Deconvolution

In this article, we focus on the analysis of the potential factors drivi...

Ziming Liu, et al. ∙

research

∙ 07/15/2021

Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks

Deep neural networks (DNNs) have successfully learned useful data repres...

Yufeng Xia, et al. ∙

research

∙ 09/27/2019

On the Anomalous Generalization of GANs

Generative models, especially Generative Adversarial Networks (GANs), ha...

Jinchen Xuan, et al. ∙

research

∙ 09/02/2019

Relationship-Aware Spatial Perception Fusion for Realistic Scene Layout Generation

The significant progress on Generative Adversarial Networks (GANs) have ...

Hongdong Zheng, et al. ∙

research

∙ 01/05/2020

Spatial-Scale Aligned Network for Fine-Grained Recognition

Existing approaches for fine-grained visual recognition focus on learnin...

Lizhao Gao, et al. ∙

research

∙ 05/21/2020

When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data

We present a new Deep Dictionary Learning and Coding Network (DDLCN) for...

Hao Tang, et al. ∙

research

∙ 08/17/2021

Learning to Compute Approximate Nash Equilibrium for Normal-form Games

In this paper, we propose a general meta learning approach to computing ...

Zhijian Duan, et al. ∙

research

∙ 11/27/2019

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context

Predicting the patient's clinical outcome from the historical electronic...

Liantao Ma, et al. ∙

research

∙ 12/12/2019

Unified Generative Adversarial Networks for Controllable Image-to-Image Translation

Controllable image-to-image translation, i.e., transferring an image fro...

Hao Tang, et al. ∙

research

∙ 12/31/2019

AdderNet: Do We Really Need Multiplications in Deep Learning?

Compared with cheap addition operation, multiplication operation is of m...

Hanting Chen, et al. ∙

research

∙ 08/26/2019

Non-local Recurrent Neural Memory for Supervised Sequence Modeling

Typical methods for supervised sequence modeling are built upon the recu...

Canmiao Fu, et al. ∙

research

∙ 11/27/2019

Exploring Frequency Domain Interpretation of Convolutional Neural Networks

Many existing interpretation methods of convolutional neural networks (C...

Zhongfan Jia, et al. ∙

research

∙ 01/13/2022

TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers

Detection Transformer (DETR) and Deformable DETR have been proposed to e...

Qianyu Zhou, et al. ∙

research

∙ 12/10/2019

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

3D object detection from a single image without LiDAR is a challenging t...

Mingyu Ding, et al. ∙

research

∙ 12/14/2019

Asymmetric Generative Adversarial Networks for Image-to-Image Translation

State-of-the-art models for unpaired image-to-image translation with Gen...

Hao Tang, et al. ∙

research

∙ 08/02/2020

Differentiable Feature Aggregation Search for Knowledge Distillation

Knowledge distillation has become increasingly important in model compre...

Yushuo Guan, et al. ∙

research

∙ 08/23/2019

Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry

We propose a self-supervised learning framework for visual odometry (VO)...

Shunkai Li, et al. ∙

research

∙ 12/23/2019

Graph-Based Parallel Large Scale Structure from Motion

While Structure from Motion (SfM) achieves great success in 3D reconstru...

Yu Chen, et al. ∙

research

∙ 06/14/2020

Generative 3D Part Assembly via Dynamic Graph Learning

Autonomous part assembly is a challenging yet crucial task in 3D compute...

Jialei Huang, et al. ∙

research

∙ 09/17/2019

Multi-mapping Image-to-Image Translation via Learning Disentanglement

Recent advances of image-to-image translation focus on learning the one-...

Xiaoming Yu, et al. ∙

research

∙ 11/27/2019

GhostNet: More Features from Cheap Operations

Deploying convolutional neural networks (CNNs) on embedded devices is di...

Kai Han, et al. ∙

research

∙ 03/17/2021

Implicit Normalizing Flows

Normalizing flows define a probability distribution by an explicit inver...

Cheng Lu, et al. ∙

research

∙ 03/30/2020

MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation

Cross view feature fusion is the key to address the occlusion problem in...

Rongchang Xie, et al. ∙

research

∙ 04/08/2019

Large Margin Multi-modal Multi-task Feature Extraction for Image Classification

The features used in many image analysis-based applications are frequent...

Yong Luo, et al. ∙

research

∙ 11/19/2019

Defective Convolutional Layers Learn Robust CNNs

Robustness of convolutional neural networks has recently been highlighte...

Tiange Luo, et al. ∙

research

∙ 01/26/2020

GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Molecular graph generation is a fundamental problem for drug discovery a...

Chence Shi, et al. ∙

research

∙ 07/27/2020

RANDOM MASK: Towards Robust Convolutional Neural Networks

Robustness of neural networks has recently been highlighted by the adver...

Tiange Luo, et al. ∙

research

∙ 08/04/2020

Boundary Content Graph Neural Network for Temporal Action Proposal Generation

Temporal action proposal generation plays an important role in video act...

Yueran Bai, et al. ∙

research

∙ 08/27/2020

Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field

Surgical skill assessment is important for surgery training and quality ...

Daochang Liu, et al. ∙

research

∙ 05/23/2019

Incorporating Human Domain Knowledge in 3D LiDAR-based Semantic Segmentation

This work studies semantic segmentation using 3D LiDAR data. Popular dee...

Jilin Mei, et al. ∙

research

∙ 12/16/2019

Single Image Deraining: From Model-Based to Data-Driven and Beyond

Rain removal or deraining methods attempt to restore the clean backgroun...

Wenhan Yang, et al. ∙

research

∙ 03/31/2020

TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting

We present a lightweight video motion retargeting approach TransMoMo tha...

Zhuoqian Yang, et al. ∙

research

∙ 05/20/2022

Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning

Unsupervised/self-supervised representation learning in time series is c...

Wenrui Zhang, et al. ∙

research

∙ 11/07/2018

Image Smoothing via Unsupervised Learning

Image smoothing represents a fundamental component of many disparate com...

Qingnan Fan, et al. ∙

research

∙ 03/11/2019

Stroke-based Artistic Rendering Agent with Deep Reinforcement Learning

Excellent painters can use only a few strokes to create a fantastic pain...

Zhewei Huang, 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

∙ 07/14/2020

TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning

Fusing data from multiple modalities provides more information to train ...

Xinwei Sun, et al. ∙

research

∙ 09/15/2021

Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition

We present a novel facial expression recognition network, called Distrac...

Zhengyao Wen, et al. ∙

research

∙ 04/10/2022

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

This paper presents Video K-Net, a simple, strong, and unified framework...

Xiangtai Li, et al. ∙

research

∙ 11/15/2018

Mathematical Analysis of Adversarial Attacks

In this paper, we analyze efficacy of the fast gradient sign method (FGS...

Zehao Dou, et al. ∙

research

∙ 09/09/2019

Reasoning Over Semantic-Level Graph for Fact Checking

We study fact-checking in this paper, which aims to verify a textual cla...

Wanjun Zhong, et al. ∙

research

∙ 09/07/2019

Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

Graph Neural Networks (GNNs) have achieved promising performance on a wi...

Deli Chen, et al. ∙

research

∙ 09/11/2019

Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks

Graph Convolutional Neural Networks (GCNNs) extend classical CNNs to gra...

Jiaxiang Tang, et al. ∙

research

∙ 09/11/2019

CARS: Continuous Evolution for Efficient Neural Architecture Search

Searching techniques in most of existing neural architecture search (NAS...

Zhaohui Yang, et al. ∙

research

∙ 09/12/2021

PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds

3D scene understanding from point clouds plays a vital role for various ...

Xiaoxue Chen, et al. ∙

research

∙ 10/26/2021

Directional Self-supervised Learning for Risky Image Augmentations

Only a few cherry-picked robust augmentation policies are beneficial to ...

Yalong Bai, et al. ∙

research

∙ 11/08/2021

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation

Medical report generation, which aims to automatically generate a long a...

Fenglin Liu, et al. ∙

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