b'JD.com, Inc.'

research

∙ 01/12/2021

FaceX-Zoo: A PyTorch Toolbox for Face Recognition

Deep learning based face recognition has achieved significant progress i...

Jun Wang, et al. ∙

research

∙ 04/04/2020

Graph Sequential Network for Reasoning over Sequences

Recently Graph Neural Network (GNN) has been applied successfully to var...

Ming Tu, et al. ∙

research

∙ 04/13/2020

Imitation Learning for Fashion Style Based on Hierarchical Multimodal Representation

Fashion is a complex social phenomenon. People follow fashion styles fro...

Shizhu Liu, et al. ∙

research

∙ 12/15/2021

Self-Ensembling GAN for Cross-Domain Semantic Segmentation

Deep neural networks (DNNs) have greatly contributed to the performance ...

Yonghao Xu, et al. ∙

research

∙ 06/04/2020

FastReID: A Pytorch Toolbox for Real-world Person Re-identification

We present FastReID, as a widely used object re-identification (re-id) s...

Lingxiao He, et al. ∙

research

∙ 12/07/2019

Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development

Recently, practical applications for passenger flow prediction have brou...

Yongshun Gong, et al. ∙

research

∙ 08/18/2021

SynFace: Face Recognition with Synthetic Data

With the recent success of deep neural networks, remarkable progress has...

Haibo Qiu, et al. ∙

research

∙ 06/27/2022

Video2StyleGAN: Encoding Video in Latent Space for Manipulation

Many recent works have been proposed for face image editing by leveragin...

Jiyang Yu, et al. ∙

research

∙ 04/16/2019

Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

Heatmap regression has became one of the mainstream approaches to locali...

Xinyao Wang, et al. ∙

research

∙ 04/24/2019

How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning

Machine learning has been widely applied to various applications, some o...

Xinlei Pan, et al. ∙

research

∙ 07/08/2021

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation

Predicting the next interaction of a short-term interaction session is a...

Yitong Pang, et al. ∙

research

∙ 08/24/2021

Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems

Estimating a scene's depth to achieve collision avoidance against moving...

Shan An, et al. ∙

research

∙ 08/26/2019

Mocycle-GAN: Unpaired Video-to-Video Translation

Unsupervised image-to-image translation is the task of translating an im...

Yang Chen, et al. ∙

research

∙ 12/15/2021

Putting People in their Place: Monocular Regression of 3D People in Depth

Given an image with multiple people, our goal is to directly regress the...

Yu Sun, et al. ∙

research

∙ 05/28/2019

Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss

Recent studies have highlighted that deep neural networks (DNNs) are vul...

Pengcheng Li, et al. ∙

research

∙ 01/16/2020

Vision Meets Drones: Past, Present and Future

Drones, or general UAVs, equipped with cameras have been fast deployed w...

Pengfei Zhu, et al. ∙

research

∙ 06/17/2019

Pose Guided Fashion Image Synthesis Using Deep Generative Model

Generating a photorealistic image with intended human pose is a promisin...

Wei Sun, et al. ∙

research

∙ 11/09/2021

SAFA: Structure Aware Face Animation

Recent success of generative adversarial networks (GAN) has made great p...

Qiulin Wang, et al. ∙

research

∙ 07/24/2022

Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection

Anomaly detection aims at identifying deviant samples from the normal da...

Gaoang Wang, et al. ∙

research

∙ 11/25/2019

Fast and Incremental Loop Closure Detection Using Proximity Graphs

Visual loop closure detection, which can be considered as an image retri...

Shan An, et al. ∙

research

∙ 10/18/2021

CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification

Visible-infrared cross-modality person re-identification is a challengin...

Tengfei Liang, et al. ∙

research

∙ 08/05/2018

Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

The prediction accuracy has been the long-lasting and sole standard for ...

Dong Su, et al. ∙

research

∙ 12/11/2018

Rethink and Redesign Meta learning

Recently, Meta-learning has been shown as a promising way to improve the...

Yunxiao Qin, et al. ∙

research

∙ 12/26/2019

Vision and Language: from Visual Perception to Content Creation

Vision and language are two fundamental capabilities of human intelligen...

Tao Mei, et al. ∙

research

∙ 12/01/2021

Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning

Face anti-spoofing (FAS) plays a vital role in preventing face recogniti...

Hangtong Wu, et al. ∙

research

∙ 03/10/2022

Contrastive Boundary Learning for Point Cloud Segmentation

Point cloud segmentation is fundamental in understanding 3D environments...

Liyao Tang, et al. ∙

research

∙ 05/13/2020

Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks

The current deep learning based visual tracking approaches have been ver...

Ning Zhang, et al. ∙

research

∙ 01/20/2020

Recovering Geometric Information with Learned Texture Perturbations

Regularization is used to avoid overfitting when training a neural netwo...

Jane Wu, et al. ∙

research

∙ 03/22/2020

Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps

A virtual try-on method takes a product image and an image of a model an...

Kedan Li, et al. ∙

research

∙ 06/11/2020

Learning a Unified Sample Weighting Network for Object Detection

Region sampling or weighting is significantly important to the success o...

Qi Cai, et al. ∙

research

∙ 04/23/2021

Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

Estimation of the human pose from a monocular camera has been an emergin...

Wu Liu, et al. ∙

research

∙ 11/20/2021

Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph

Knowledge graph question answering (i.e., KGQA) based on information ret...

Hanning Gao, et al. ∙

research

∙ 05/24/2022

Meta Policy Learning for Cold-Start Conversational Recommendation

Conversational recommender systems (CRS) explicitly solicit users' prefe...

Zhendong Chu, et al. ∙

research

∙ 05/28/2022

Parameter-Efficient and Student-Friendly Knowledge Distillation

Knowledge distillation (KD) has been extensively employed to transfer th...

Jun Rao, et al. ∙

research

∙ 06/26/2022

Automatic Generation of Product-Image Sequence in E-commerce

Product images are essential for providing desirable user experience in ...

Xiaochuan Fan, et al. ∙

research

∙ 07/12/2018

Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

We study the problem of attacking a machine learning model in the hard-l...

Minhao Cheng, et al. ∙

research

∙ 01/26/2019

Few-shot Learning with Meta Metric Learners

Few-shot Learning aims to learn classifiers for new classes with only a ...

Yu Cheng, et al. ∙

research

∙ 05/24/2021

Multi-Level Attentive Convoluntional Neural Network for Crowd Counting

Recently the crowd counting has received more and more attention. Especi...

Mengxiao Tian, et al. ∙

research

∙ 12/16/2021

Intelligent Online Selling Point Extraction for E-Commerce Recommendation

In the past decade, automatic product description generation for e-comme...

Xiaojie Guo, et al. ∙

research

∙ 01/01/2022

Quality-aware Part Models for Occluded Person Re-identification

Occlusion poses a major challenge for person re-identification (ReID). E...

Pengfei Wang, et al. ∙

research

∙ 06/08/2020

Skinning a Parameterization of Three-Dimensional Space for Neural Network Cloth

We present a novel learning framework for cloth deformation by embedding...

Jane Wu, et al. ∙

research

∙ 07/16/2020

Semi-Siamese Training for Shallow Face Learning

Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, pr...

Hang Du, et al. ∙

research

∙ 01/04/2021

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

We investigate large-scale latent variable models (LVMs) for neural stor...

Le Fang, et al. ∙

research

∙ 01/11/2022

Representing Videos as Discriminative Sub-graphs for Action Recognition

Human actions are typically of combinatorial structures or patterns, i.e...

Dong Li, et al. ∙

research

∙ 05/21/2022

Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce

In this paper, we proposed an automatic Scenario-based Multi-product Adv...

Xueying Zhang, et al. ∙

research

∙ 07/27/2022

Leveraging GAN Priors for Few-Shot Part Segmentation

Few-shot part segmentation aims to separate different parts of an object...

Mengya Han, et al. ∙

research

∙ 02/27/2019

Object-driven Text-to-Image Synthesis via Adversarial Training

In this paper, we propose Object-driven Attentive Generative Adversarial...

Wenbo Li, et al. ∙

research

∙ 04/22/2019

Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness

Weakly supervised data are widespread and have attracted much attention....

Lan-Zhe Guo, et al. ∙

research

∙ 03/18/2020

Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing

Face anti-spoofing is critical to the security of face recognition syste...

Zezheng Wang, et al. ∙

research

∙ 07/20/2020

NPCFace: A Negative-Positive Cooperation Supervision for Training Large-scale Face Recognition

Deep face recognition has made remarkable advances in the last few years...

Dan Zeng, et al. ∙

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