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.

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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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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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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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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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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Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

Recommender systems play a crucial role in mitigating the problem of inf...
02/19/2018 ∙ by Xiangyu Zhao, et al. ∙ 0 ∙ share

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Natural Language to Structured Query Generation via Meta-Learning

In conventional supervised training, a model is trained to fit all the t...
03/02/2018 ∙ by Po-Sen Huang, et al. ∙ 0 ∙ share

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Stacked Cross Attention for Image-Text Matching

In this paper, we study the problem of image-text matching. Inferring th...
03/21/2018 ∙ by Kuang-Huei Lee, et al. ∙ 0 ∙ share

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Deep Communicating Agents for Abstractive Summarization

We present deep communicating agents in an encoder-decoder architecture ...
03/27/2018 ∙ by Asli Celikyilmaz, et al. ∙ 0 ∙ share

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Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning

We study how to generate captions that are not only accurate in describi...
04/03/2018 ∙ by Dianqi Li, et al. ∙ 0 ∙ share

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To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression

Given an untrimmed video and a sentence description, temporal sentence l...
04/19/2018 ∙ by Yitian Yuan, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Page-wise Recommendations

Recommender systems can mitigate the information overload problem by sug...
05/07/2018 ∙ by Xiangyu Zhao, et al. ∙ 0 ∙ share

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Discourse-Aware Neural Rewards for Coherent Text Generation

In this paper, we investigate the use of discourse-aware rewards with re...
05/10/2018 ∙ by Antoine Bosselut, et al. ∙ 0 ∙ share

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Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation

We propose a hierarchically structured reinforcement learning approach t...
05/21/2018 ∙ by Qiuyuan Huang, et al. ∙ 0 ∙ share

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The Neural Painter: Multi-Turn Image Generation

In this work we combine two research threads from Vision/ Graphics and N...
06/16/2018 ∙ by Ryan Y. Benmalek, et al. ∙ 0 ∙ share

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Propagating Uncertainty through the tanh Function with Application to Reservoir Computing

Many neural networks use the tanh activation function, however when give...
06/25/2018 ∙ by Manan Gandhi, et al. ∙ 0 ∙ share

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Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors

In the modern e-commerce, the behaviors of customers contain rich inform...
08/03/2018 ∙ by Zhi Li, et al. ∙ 0 ∙ share

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Sequential Behavioral Data Processing Using Deep Learning and the Markov Transition Field in Online Fraud Detection

Due to the popularity of the Internet and smart mobile devices, more and...
08/16/2018 ∙ by Ruinan Zhang, et al. ∙ 0 ∙ share

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Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation

The task of dialogue generation aims to automatically provide responses ...
08/31/2018 ∙ by Xisen Jin, et al. ∙ 0 ∙ share

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