JD.com, Inc.

∙ BEIJING , China ∙ 0 followers

Jd.com, Inc., also known as Jingdong and formerly called 360buy, is a Chinese e-commerce company headquartered in Beijing.

FaceX-Zoo: A PyTorch Toolbox for Face Recognition

Deep learning based face recognition has achieved significant progress i...
01/12/2021 ∙ by Jun Wang, et al. ∙ 42 ∙ share

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Graph Sequential Network for Reasoning over Sequences

Recently Graph Neural Network (GNN) has been applied successfully to var...
04/04/2020 ∙ by Ming Tu, et al. ∙ 33 ∙ share

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Imitation Learning for Fashion Style Based on Hierarchical Multimodal Representation

Fashion is a complex social phenomenon. People follow fashion styles fro...
04/13/2020 ∙ by Shizhu Liu, et al. ∙ 28 ∙ share

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

We present FastReID, as a widely used object re-identification (re-id) s...
06/04/2020 ∙ by Lingxiao He, et al. ∙ 26 ∙ share

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

Recently, practical applications for passenger flow prediction have brou...
12/07/2019 ∙ by Yongshun Gong, et al. ∙ 24 ∙ share

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Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

Heatmap regression has became one of the mainstream approaches to locali...
04/16/2019 ∙ by Xinyao Wang, et al. ∙ 20 ∙ share

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

Machine learning has been widely applied to various applications, some o...
04/24/2019 ∙ by Xinlei Pan, et al. ∙ 20 ∙ share

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Mocycle-GAN: Unpaired Video-to-Video Translation

Unsupervised image-to-image translation is the task of translating an im...
08/26/2019 ∙ by Yang Chen, et al. ∙ 19 ∙ share

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

Recent studies have highlighted that deep neural networks (DNNs) are vul...
05/28/2019 ∙ by Pengcheng Li, et al. ∙ 16 ∙ share

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Vision Meets Drones: Past, Present and Future

Drones, or general UAVs, equipped with cameras have been fast deployed w...
01/16/2020 ∙ by Pengfei Zhu, et al. ∙ 15 ∙ share

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Pose Guided Fashion Image Synthesis Using Deep Generative Model

Generating a photorealistic image with intended human pose is a promisin...
06/17/2019 ∙ by Wei Sun, et al. ∙ 14 ∙ share

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Fast and Incremental Loop Closure Detection Using Proximity Graphs

Visual loop closure detection, which can be considered as an image retri...
11/25/2019 ∙ by Shan An, et al. ∙ 13 ∙ share

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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 ...
08/05/2018 ∙ by Dong Su, et al. ∙ 12 ∙ share

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Rethink and Redesign Meta learning

Recently, Meta-learning has been shown as a promising way to improve the...
12/11/2018 ∙ by Yunxiao Qin, et al. ∙ 12 ∙ share

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Vision and Language: from Visual Perception to Content Creation

Vision and language are two fundamental capabilities of human intelligen...
12/26/2019 ∙ by Tao Mei, et al. ∙ 12 ∙ share

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Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks

The current deep learning based visual tracking approaches have been ver...
05/13/2020 ∙ by Ning Zhang, et al. ∙ 11 ∙ share

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Recovering Geometric Information with Learned Texture Perturbations

Regularization is used to avoid overfitting when training a neural netwo...
01/20/2020 ∙ by Jane Wu, et al. ∙ 10 ∙ share

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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...
03/22/2020 ∙ by Kedan Li, et al. ∙ 10 ∙ share

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Learning a Unified Sample Weighting Network for Object Detection

Region sampling or weighting is significantly important to the success o...
06/11/2020 ∙ by Qi Cai, et al. ∙ 10 ∙ share

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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...
07/12/2018 ∙ by Minhao Cheng, et al. ∙ 8 ∙ share

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Few-shot Learning with Meta Metric Learners

Few-shot Learning aims to learn classifiers for new classes with only a ...
01/26/2019 ∙ by Yu Cheng, et al. ∙ 8 ∙ share

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

We present a novel learning framework for cloth deformation by embedding...
06/08/2020 ∙ by Jane Wu, et al. ∙ 7 ∙ share

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Semi-Siamese Training for Shallow Face Learning

Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, pr...
07/16/2020 ∙ by Hang Du, et al. ∙ 7 ∙ share

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Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

We investigate large-scale latent variable models (LVMs) for neural stor...
01/04/2021 ∙ by Le Fang, et al. ∙ 7 ∙ share

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

In this paper, we propose Object-driven Attentive Generative Adversarial...
02/27/2019 ∙ by Wenbo Li, et al. ∙ 6 ∙ share

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Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness

Weakly supervised data are widespread and have attracted much attention....
04/22/2019 ∙ by Lan-Zhe Guo, et al. ∙ 6 ∙ share

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

Face anti-spoofing is critical to the security of face recognition syste...
03/18/2020 ∙ by Zezheng Wang, et al. ∙ 6 ∙ share

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

Deep face recognition has made remarkable advances in the last few years...
07/20/2020 ∙ by Dan Zeng, et al. ∙ 6 ∙ share

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Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint

Product search is the most common way for people to satisfy their shoppi...
07/24/2020 ∙ by Zhuojian Xiao, et al. ∙ 6 ∙ share

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Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events

Large-scale pretrained language models have shown thrilling generation c...
01/04/2021 ∙ by Le Fang, et al. ∙ 6 ∙ share

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Matrix Completion from Non-Uniformly Sampled Entries

In this paper, we consider matrix completion from non-uniformly sampled ...
06/27/2018 ∙ by Yuanyu Wan, et al. ∙ 4 ∙ share

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End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

Knowledge graph embedding has been an active research topic for knowledg...
11/11/2018 ∙ by Chao Shang, et al. ∙ 4 ∙ share

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Characterizing Attacks on Deep Reinforcement Learning

Deep reinforcement learning (DRL) has achieved great success in various ...
07/21/2019 ∙ by Chaowei Xiao, et al. ∙ 4 ∙ share

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Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points

Railway points are among the key components of railway infrastructure. A...
07/02/2019 ∙ by Zhibin Li, et al. ∙ 3 ∙ share

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Hard-Aware Fashion Attribute Classification

Fashion attribute classification is of great importance to many high-lev...
07/25/2019 ∙ by Yun Ye, et al. ∙ 3 ∙ share

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3D Virtual Garment Modeling from RGB Images

We present a novel approach that constructs 3D virtual garment models fr...
07/31/2019 ∙ by Yi Xu, et al. ∙ 3 ∙ share

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Support Vector Guided Softmax Loss for Face Recognition

Face recognition has witnessed significant progresses due to the advance...
12/29/2018 ∙ by Xiaobo Wang, et al. ∙ 2 ∙ share

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Deep Recurrent Quantization for Generating Sequential Binary Codes

Quantization has been an effective technology in ANN (approximate neares...
06/16/2019 ∙ by Jingkuan Song, et al. ∙ 2 ∙ share

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Adversarial Training Methods for Network Embedding

Network Embedding is the task of learning continuous node representation...
08/30/2019 ∙ by Quanyu Dai, et al. ∙ 2 ∙ share

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ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition

The ChaLearn large-scale gesture recognition challenge has been run twic...
07/29/2019 ∙ by Jun Wan, et al. ∙ 1 ∙ share

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CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise

In this paper, we study the problem of learning image classification mod...
11/20/2017 ∙ by Kuang-Huei Lee, et al. ∙ 0 ∙ share

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Optimizing Gross Merchandise Volume via DNN-MAB Dynamic Ranking Paradigm

With the transition from people's traditional `brick-and-mortar' shoppin...
08/14/2017 ∙ by Yan Yan, et al. ∙ 0 ∙ share

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Neural Rating Regression with Abstractive Tips Generation for Recommendation

Recently, some E-commerce sites launch a new interaction box called Tips...
08/01/2017 ∙ by Piji Li, et al. ∙ 0 ∙ share

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Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Top-down visual attention mechanisms have been used extensively in image...
07/25/2017 ∙ by Peter Anderson, et al. ∙ 0 ∙ share

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A Survey on Dialogue Systems: Recent Advances and New Frontiers

Dialogue systems have attracted more and more attention. Recent advances...
11/06/2017 ∙ by Hongshen Chen, et al. ∙ 0 ∙ share

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Neural Attentive Session-based Recommendation

Given e-commerce scenarios that user profiles are invisible, session-bas...
11/13/2017 ∙ by Jing Li, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for List-wise Recommendations

Recommender systems play a crucial role in mitigating the problem of inf...
12/30/2017 ∙ by Xiangyu Zhao, et al. ∙ 0 ∙ share

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Spot the Difference by Object Detection

In this paper, we propose a simple yet effective solution to a change de...
01/03/2018 ∙ by Junhui Wu, et al. ∙ 0 ∙ share

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Cross-domain Human Parsing via Adversarial Feature and Label Adaptation

Human parsing has been extensively studied recently due to its wide appl...
01/04/2018 ∙ by Si Liu, et al. ∙ 0 ∙ share

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Etymo: A New Discovery Engine for AI Research

We present Etymo (https://etymo.io), a discovery engine to facilitate ar...
01/25/2018 ∙ by Weijian Zhang, et al. ∙ 0 ∙ share

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