Jingdong Wang

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Microsoft ∙ Tsinghua University

Researcher at the Visual Computing Group, Microsoft Research Asia

Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning

Cross-modal correlation provides an inherent supervision for video unsup...
06/13/2021 ∙ by Shaobo Min, et al. ∙ 0 ∙ share

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Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight

Vision Transformer (ViT) attains state-of-the-art performance in visual ...
06/08/2021 ∙ by Qi Han, et al. ∙ 0 ∙ share

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Lite-HRNet: A Lightweight High-Resolution Network

We present an efficient high-resolution network, Lite-HRNet, for human p...
04/13/2021 ∙ by Changqian Yu, et al. ∙ 0 ∙ share

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Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression

In this paper, we are interested in the bottom-up paradigm of estimating...
04/06/2021 ∙ by Zigang Geng, et al. ∙ 0 ∙ share

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Boosting Adversarial Transferability through Enhanced Momentum

Deep learning models are known to be vulnerable to adversarial examples ...
03/19/2021 ∙ by Xiaosen Wang, et al. ∙ 0 ∙ share

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Admix: Enhancing the Transferability of Adversarial Attacks

Although adversarial attacks have achieved incredible attack success rat...
01/31/2021 ∙ by Xiaosen Wang, et al. ∙ 0 ∙ share

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Improving Person Re-identification with Iterative Impression Aggregation

Our impression about one person often updates after we see more aspects ...
09/21/2020 ∙ by Dengpan Fu, et al. ∙ 0 ∙ share

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Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

Convolutional Neural Networks (CNNs) are known to rely more on local tex...
08/10/2020 ∙ by Baifeng Shi, et al. ∙ 32 ∙ share

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Distillation Guided Residual Learning for Binary Convolutional Neural Networks

It is challenging to bridge the performance gap between Binary CNN (BCNN...
07/10/2020 ∙ by Jianming Ye, et al. ∙ 0 ∙ share

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Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation

A recent approach for object detection and human pose estimation is to r...
07/06/2020 ∙ by Fangyun Wei, et al. ∙ 0 ∙ share

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Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates

The typical bottom-up human pose estimation framework includes two stage...
06/28/2020 ∙ by Ke Sun, et al. ∙ 3 ∙ share

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Weakly-Supervised Action Localization by Generative Attention Modeling

Weakly-supervised temporal action localization is a problem of learning ...
03/27/2020 ∙ by Baifeng Shi, et al. ∙ 0 ∙ share

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Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Deep neural networks have exhibited promising performance in image super...
03/16/2020 ∙ by Yong Guo, et al. ∙ 8 ∙ share

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Efficient Semantic Video Segmentation with Per-frame Inference

In semantic segmentation, most existing real-time deep models trained wi...
02/26/2020 ∙ by Yifan Liu, et al. ∙ 0 ∙ share

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Object-Contextual Representations for Semantic Segmentation

In this paper, we address the problem of semantic segmentation and focus...
09/24/2019 ∙ by Yuhui Yuan, et al. ∙ 13 ∙ share

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Cross View Fusion for 3D Human Pose Estimation

We present an approach to recover absolute 3D human poses from multi-vie...
09/03/2019 ∙ by Haibo Qiu, et al. ∙ 0 ∙ share

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Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation

In this paper, we are interested in bottom-up multi-person human pose es...
08/27/2019 ∙ by Bowen Cheng, et al. ∙ 9 ∙ share

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Global-Local Temporal Representations For Video Person Re-Identification

This paper proposes the Global-Local Temporal Representation (GLTR) to e...
08/27/2019 ∙ by Jianing Li, et al. ∙ 0 ∙ share

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Deep High-Resolution Representation Learning for Visual Recognition

High-resolution representations are essential for position-sensitive vis...
08/20/2019 ∙ by Jingdong Wang, et al. ∙ 0 ∙ share

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Interlaced Sparse Self-Attention for Semantic Segmentation

In this paper, we present a so-called interlaced sparse self-attention a...
07/29/2019 ∙ by Lang Huang, et al. ∙ 2 ∙ share

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MMDetection: Open MMLab Detection Toolbox and Benchmark

We present MMDetection, an object detection toolbox that contains a rich...
06/17/2019 ∙ by Kai Chen, et al. ∙ 1 ∙ share

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Beyond Intra-modality Discrepancy: A Comprehensive Survey of Heterogeneous Person Re-identification

An effective and efficient person re-identification (ReID) algorithm wil...
05/24/2019 ∙ by Zheng Wang, et al. ∙ 0 ∙ share

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Group Re-Identification with Multi-grained Matching and Integration

The task of re-identifying groups of people underdifferent camera views ...
05/17/2019 ∙ by Weiyao Lin, et al. ∙ 0 ∙ share

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High-Resolution Representations for Labeling Pixels and Regions

High-resolution representation learning plays an essential role in many ...
04/09/2019 ∙ by Ke Sun, et al. ∙ 6 ∙ share

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Structured Knowledge Distillation for Semantic Segmentation

In this paper, we investigate the knowledge distillation strategy for tr...
03/11/2019 ∙ by Yifan Liu, et al. ∙ 0 ∙ share

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Deep High-Resolution Representation Learning for Human Pose Estimation

This is an official pytorch implementation of Deep High-Resolution Repre...
02/25/2019 ∙ by Ke Sun, et al. ∙ 0 ∙ share

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Collaborative Quantization for Cross-Modal Similarity Search

Cross-modal similarity search is a problem about designing a search syst...
02/02/2019 ∙ by Ting Zhang, et al. ∙ 0 ∙ share

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Supervised Quantization for Similarity Search

In this paper, we address the problem of searching for semantically simi...
02/02/2019 ∙ by Xiaojuan Wang, et al. ∙ 0 ∙ share

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Deep Triplet Quantization

Deep hashing establishes efficient and effective image retrieval by end-...
02/01/2019 ∙ by Bin Liu, et al. ∙ 0 ∙ share

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Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation

Cross-platform recommendation aims to improve the recommendation accurac...
01/01/2019 ∙ by Shengze Yu, et al. ∙ 0 ∙ share

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Weakly Supervised Dense Event Captioning in Videos

Dense event captioning aims to detect and describe all events of interes...
12/10/2018 ∙ by Xuguang Duan, et al. ∙ 0 ∙ share

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Accelerating Deep Neural Networks with Spatial Bottleneck Modules

This paper presents an efficient module named spatial bottleneck for acc...
09/07/2018 ∙ by Junran Peng, et al. ∙ 0 ∙ share

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OCNet: Object Context Network for Scene Parsing

Context is essential for various computer vision tasks. The state-of-the...
09/04/2018 ∙ by Yuhui Yuan, et al. ∙ 0 ∙ share

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IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks

In this paper, we are interested in building lightweight and efficient c...
06/01/2018 ∙ by Ke Sun, et al. ∙ 0 ∙ share

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Part-Aligned Bilinear Representations for Person Re-identification

We propose a novel network that learns a part-aligned representation for...
04/19/2018 ∙ by Yumin Suh, et al. ∙ 2 ∙ share

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IGCV2: Interleaved Structured Sparse Convolutional Neural Networks

In this paper, we study the problem of designing efficient convolutional...
04/17/2018 ∙ by Guotian Xie, et al. ∙ 0 ∙ share

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Object Detection in Videos by Short and Long Range Object Linking

We address the problem of detecting objects in videos with the interest ...
01/30/2018 ∙ by Peng Tang, et al. ∙ 0 ∙ share

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LVreID: Person Re-Identification with Long Sequence Videos

This paper mainly establishes a large-scale Long sequence Video database...
12/20/2017 ∙ by Jianing Li, et al. ∙ 0 ∙ share

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Composite Quantization

This paper studies the compact coding approach to approximate nearest ne...
12/04/2017 ∙ by Jingdong Wang, et al. ∙ 0 ∙ share

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Human Pose Estimation using Global and Local Normalization

In this paper, we address the problem of estimating the positions of hum...
09/21/2017 ∙ by Ke Sun, et al. ∙ 0 ∙ share

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Training Better CNNs Requires to Rethink ReLU

With the rapid development of Deep Convolutional Neural Networks (DCNNs)...
09/19/2017 ∙ by Gangming Zhao, et al. ∙ 0 ∙ share

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Deeply-Learned Part-Aligned Representations for Person Re-Identification

In this paper, we address the problem of person re-identification, which...
07/23/2017 ∙ by Liming Zhao, et al. ∙ 0 ∙ share

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Orthogonal and Idempotent Transformations for Learning Deep Neural Networks

Identity transformations, used as skip-connections in residual networks,...
07/19/2017 ∙ by Jingdong Wang, et al. ∙ 0 ∙ share

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Interleaved Group Convolutions for Deep Neural Networks

In this paper, we present a simple and modularized neural network archit...
07/10/2017 ∙ by Ting Zhang, et al. ∙ 0 ∙ share

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Learning Correspondence Structures for Person Re-identification

This paper addresses the problem of handling spatial misalignments due t...
03/20/2017 ∙ by Weiyao Lin, et al. ∙ 0 ∙ share

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Deep Convolutional Neural Networks with Merge-and-Run Mappings

A deep residual network, built by stacking a sequence of residual blocks...
11/23/2016 ∙ by Liming Zhao, et al. ∙ 0 ∙ share

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A Survey on Learning to Hash

Nearest neighbor search is a problem of finding the data points from the...
06/01/2016 ∙ by Jingdong Wang, et al. ∙ 0 ∙ share

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Deeply-Fused Nets

In this paper, we present a novel deep learning approach, deeply-fused n...
05/25/2016 ∙ by Jingdong Wang, et al. ∙ 0 ∙ share

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Good Practice in CNN Feature Transfer

The objective of this paper is the effective transfer of the Convolution...
04/01/2016 ∙ by Liang Zheng, et al. ∙ 0 ∙ share

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A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes

This paper addresses the problem of detecting coherent motions in crowd ...
02/16/2016 ∙ by Weiyao Lin, et al. ∙ 0 ∙ share

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Jingdong Wang

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