b'Jingdong Wang'

research

∙ 06/13/2022

Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning

Freezing the pre-trained backbone has become a standard paradigm to avoi...

Yanpeng Sun, et al. ∙

research

∙ 06/01/2022

MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining

In this paper, we present a model pretraining technique, named MaskOCR, ...

Pengyuan Lyu, et al. ∙

research

∙ 05/08/2022

Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search

Despite the broad range of algorithms for Approximate Nearest Neighbor S...

Harsha Vardhan Simhadri, et al. ∙

research

∙ 04/20/2022

Human-Object Interaction Detection via Disentangled Transformer

Human-Object Interaction Detection tackles the problem of joint localiza...

Desen Zhou, et al. ∙

research

∙ 04/16/2022

GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation

Birds-eye-view (BEV) semantic segmentation is critical for autonomous dr...

Shi Gong, et al. ∙

research

∙ 04/14/2022

Implicit Sample Extension for Unsupervised Person Re-Identification

Most existing unsupervised person re-identification (Re-ID) methods use ...

Xinyu Zhang, et al. ∙

research

∙ 04/07/2022

DaViT: Dual Attention Vision Transformers

In this work, we introduce Dual Attention Vision Transformers (DaViT), a...

Mingyu Ding, et al. ∙

research

∙ 04/06/2022

MixFormer: Mixing Features across Windows and Dimensions

While local-window self-attention performs notably in vision tasks, it s...

Qiang Chen, et al. ∙

research

∙ 03/31/2022

ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

Visual appearance is considered to be the most important cue to understa...

Mengjun Cheng, et al. ∙

research

∙ 02/07/2022

Context Autoencoder for Self-Supervised Representation Learning

We present a novel masked image modeling (MIM) approach, context autoenc...

Xiaokang Chen, et al. ∙

research

∙ 11/05/2021

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search

The in-memory algorithms for approximate nearest neighbor search (ANNS) ...

Qi Chen, et al. ∙

research

∙ 10/29/2021

Whole Brain Segmentation with Full Volume Neural Network

Whole brain segmentation is an important neuroimaging task that segments...

Yeshu Li, et al. ∙

research

∙ 08/23/2021

Realistic Image Synthesis with Configurable 3D Scene Layouts

Recent conditional image synthesis approaches provide high-quality synth...

Jaebong Jeong, et al. ∙

research

∙ 06/30/2021

Content-Aware Convolutional Neural Networks

Convolutional Neural Networks (CNNs) have achieved great success due to ...

Yong Guo, et al. ∙

research

∙ 06/13/2021

Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning

Cross-modal correlation provides an inherent supervision for video unsup...

Shaobo Min, et al. ∙

research

∙ 06/08/2021

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

Vision Transformer (ViT) attains state-of-the-art performance in visual ...

Qi Han, et al. ∙

research

∙ 04/13/2021

Lite-HRNet: A Lightweight High-Resolution Network

We present an efficient high-resolution network, Lite-HRNet, for human p...

Changqian Yu, et al. ∙

research

∙ 04/06/2021

Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression

In this paper, we are interested in the bottom-up paradigm of estimating...

Zigang Geng, et al. ∙

research

∙ 03/19/2021

Boosting Adversarial Transferability through Enhanced Momentum

Deep learning models are known to be vulnerable to adversarial examples ...

Xiaosen Wang, et al. ∙

research

∙ 01/31/2021

Admix: Enhancing the Transferability of Adversarial Attacks

Although adversarial attacks have achieved incredible attack success rat...

Xiaosen Wang, et al. ∙

research

∙ 09/21/2020

Improving Person Re-identification with Iterative Impression Aggregation

Our impression about one person often updates after we see more aspects ...

Dengpan Fu, et al. ∙

research

∙ 08/10/2020

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

Convolutional Neural Networks (CNNs) are known to rely more on local tex...

Baifeng Shi, et al. ∙

research

∙ 07/10/2020

Distillation Guided Residual Learning for Binary Convolutional Neural Networks

It is challenging to bridge the performance gap between Binary CNN (BCNN...

Jianming Ye, et al. ∙

research

∙ 07/06/2020

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

A recent approach for object detection and human pose estimation is to r...

Fangyun Wei, et al. ∙

research

∙ 06/28/2020

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

The typical bottom-up human pose estimation framework includes two stage...

Ke Sun, et al. ∙

research

∙ 03/27/2020

Weakly-Supervised Action Localization by Generative Attention Modeling

Weakly-supervised temporal action localization is a problem of learning ...

Baifeng Shi, et al. ∙

research

∙ 03/16/2020

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

Deep neural networks have exhibited promising performance in image super...

Yong Guo, et al. ∙

research

∙ 02/26/2020

Efficient Semantic Video Segmentation with Per-frame Inference

In semantic segmentation, most existing real-time deep models trained wi...

Yifan Liu, et al. ∙

research

∙ 09/24/2019

Object-Contextual Representations for Semantic Segmentation

In this paper, we address the problem of semantic segmentation and focus...

Yuhui Yuan, et al. ∙

research

∙ 09/03/2019

Cross View Fusion for 3D Human Pose Estimation

We present an approach to recover absolute 3D human poses from multi-vie...

Haibo Qiu, et al. ∙

research

∙ 08/27/2019

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

In this paper, we are interested in bottom-up multi-person human pose es...

Bowen Cheng, et al. ∙

research

∙ 08/27/2019

Global-Local Temporal Representations For Video Person Re-Identification

This paper proposes the Global-Local Temporal Representation (GLTR) to e...

Jianing Li, et al. ∙

research

∙ 08/20/2019

Deep High-Resolution Representation Learning for Visual Recognition

High-resolution representations are essential for position-sensitive vis...

Jingdong Wang, et al. ∙

research

∙ 07/29/2019

Interlaced Sparse Self-Attention for Semantic Segmentation

In this paper, we present a so-called interlaced sparse self-attention a...

Lang Huang, et al. ∙

research

∙ 06/17/2019

MMDetection: Open MMLab Detection Toolbox and Benchmark

We present MMDetection, an object detection toolbox that contains a rich...

Kai Chen, et al. ∙

research

∙ 05/24/2019

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

An effective and efficient person re-identification (ReID) algorithm wil...

Zheng Wang, et al. ∙

research

∙ 05/17/2019

Group Re-Identification with Multi-grained Matching and Integration

The task of re-identifying groups of people underdifferent camera views ...

Weiyao Lin, et al. ∙

research

∙ 04/09/2019

High-Resolution Representations for Labeling Pixels and Regions

High-resolution representation learning plays an essential role in many ...

Ke Sun, et al. ∙

research

∙ 03/11/2019

Structured Knowledge Distillation for Semantic Segmentation

In this paper, we investigate the knowledge distillation strategy for tr...

Yifan Liu, et al. ∙

research

∙ 02/25/2019

Deep High-Resolution Representation Learning for Human Pose Estimation

This is an official pytorch implementation of Deep High-Resolution Repre...

Ke Sun, et al. ∙

research

∙ 02/02/2019

Collaborative Quantization for Cross-Modal Similarity Search

Cross-modal similarity search is a problem about designing a search syst...

Ting Zhang, et al. ∙

research

∙ 02/02/2019

Supervised Quantization for Similarity Search

In this paper, we address the problem of searching for semantically simi...

Xiaojuan Wang, et al. ∙

research

∙ 02/01/2019

Deep Triplet Quantization

Deep hashing establishes efficient and effective image retrieval by end-...

Bin Liu, et al. ∙

research

∙ 01/01/2019

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

Cross-platform recommendation aims to improve the recommendation accurac...

Shengze Yu, et al. ∙

research

∙ 12/10/2018

Weakly Supervised Dense Event Captioning in Videos

Dense event captioning aims to detect and describe all events of interes...

Xuguang Duan, et al. ∙

research

∙ 09/07/2018

Accelerating Deep Neural Networks with Spatial Bottleneck Modules

This paper presents an efficient module named spatial bottleneck for acc...

Junran Peng, et al. ∙

research

∙ 09/04/2018

OCNet: Object Context Network for Scene Parsing

Context is essential for various computer vision tasks. The state-of-the...

Yuhui Yuan, et al. ∙

research

∙ 06/01/2018

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

In this paper, we are interested in building lightweight and efficient c...

Ke Sun, et al. ∙

research

∙ 04/19/2018

Part-Aligned Bilinear Representations for Person Re-identification

We propose a novel network that learns a part-aligned representation for...

Yumin Suh, et al. ∙

research

∙ 04/17/2018

IGCV2: Interleaved Structured Sparse Convolutional Neural Networks

In this paper, we study the problem of designing efficient convolutional...

Guotian Xie, et al. ∙

Jingdong Wang

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