Search Results for author: Jingdong Wang

Found 101 papers, 47 papers with code

Few-Shot Font Generation by Learning Fine-Grained Local Styles

no code implementations20 May 2022 Licheng Tang, Yiyang Cai, Jiaming Liu, Zhibin Hong, Mingming Gong, Minhu Fan, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang

Instead of explicitly disentangling global or component-wise modeling, the cross-attention mechanism can attend to the right local styles in the reference glyphs and aggregate the reference styles into a fine-grained style representation for the given content glyphs.

Font Generation

Few-Shot Head Swapping in the Wild

no code implementations27 Apr 2022 Changyong Shu, Hemao Wu, Hang Zhou, Jiaming Liu, Zhibin Hong, Changxing Ding, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang

Particularly, seamless blending is achieved with the help of a Semantic-Guided Color Reference Creation procedure and a Blending UNet.

Face Swapping

Human-Object Interaction Detection via Disentangled Transformer

no code implementations20 Apr 2022 Desen Zhou, Zhichao Liu, Jian Wang, Leshan Wang, Tao Hu, Errui Ding, Jingdong Wang

To associate the predictions of disentangled decoders, we first generate a unified representation for HOI triplets with a base decoder, and then utilize it as input feature of each disentangled decoder.

Human-Object Interaction Detection

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

no code implementations16 Apr 2022 Shi Gong, Xiaoqing Ye, Xiao Tan, Jingdong Wang, Errui Ding, Yu Zhou, Xiang Bai

Birds-eye-view (BEV) semantic segmentation is critical for autonomous driving for its powerful spatial representation ability.

Autonomous Driving Semantic Segmentation

Implicit Sample Extension for Unsupervised Person Re-Identification

1 code implementation14 Apr 2022 Xinyu Zhang, Dongdong Li, Zhigang Wang, Jian Wang, Errui Ding, Javen Qinfeng Shi, Zhaoxiang Zhang, Jingdong Wang

Specifically, we generate support samples from actual samples and their neighbouring clusters in the embedding space through a progressive linear interpolation (PLI) strategy.

Unsupervised Person Re-Identification

DaViT: Dual Attention Vision Transformers

2 code implementations7 Apr 2022 Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan

We show that these two self-attentions complement each other: (i) since each channel token contains an abstract representation of the entire image, the channel attention naturally captures global interactions and representations by taking all spatial positions into account when computing attention scores between channels; (ii) the spatial attention refines the local representations by performing fine-grained interactions across spatial locations, which in turn helps the global information modeling in channel attention.

Ranked #7 on Image Classification on ImageNet (using extra training data)

Image Classification Instance Segmentation +2

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

no code implementations31 Mar 2022 Mengjun Cheng, Yipeng Sun, Longchao Wang, Xiongwei Zhu, Kun Yao, Jie Chen, Guoli Song, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang

Visual appearance is considered to be the most important cue to understand images for cross-modal retrieval, while sometimes the scene text appearing in images can provide valuable information to understand the visual semantics.

Contrastive Learning Cross-Modal Retrieval

HRFormer: High-Resolution Vision Transformer for Dense Predict

1 code implementation NeurIPS 2021 Yuhui Yuan, Rao Fu, Lang Huang, WeiHong Lin, Chao Zhang, Xilin Chen, Jingdong Wang

We present a High-Resolution Transformer (HRFormer) that learns high-resolution representations for dense prediction tasks, in contrast to the original Vision Transformer that produces low-resolution representations and has high memory and computational cost.

Pose Estimation Semantic Segmentation

Whole Brain Segmentation with Full Volume Neural Network

1 code implementation29 Oct 2021 Yeshu Li, Jonathan Cui, Yilun Sheng, Xiao Liang, Jingdong Wang, Eric I-Chao Chang, Yan Xu

To address these issues, we propose to adopt a full volume framework, which feeds the full volume brain image into the segmentation network and directly outputs the segmentation result for the whole brain volume.

Brain Segmentation Representation Learning

HRFormer: High-Resolution Transformer for Dense Prediction

1 code implementation18 Oct 2021 Yuhui Yuan, Rao Fu, Lang Huang, WeiHong Lin, Chao Zhang, Xilin Chen, Jingdong Wang

We present a High-Resolution Transformer (HRFormer) that learns high-resolution representations for dense prediction tasks, in contrast to the original Vision Transformer that produces low-resolution representations and has high memory and computational cost.

Pose Estimation Semantic Segmentation

Realistic Image Synthesis with Configurable 3D Scene Layouts

no code implementations23 Aug 2021 Jaebong Jeong, Janghun Jo, Jingdong Wang, Sunghyun Cho, Jaesik Park

Our approach takes a 3D scene with semantic class labels as input and trains a 3D scene painting network that synthesizes color values for the input 3D scene.

Image Generation

Conditional DETR for Fast Training Convergence

1 code implementation ICCV 2021 Depu Meng, Xiaokang Chen, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun, Jingdong Wang

Our approach, named conditional DETR, learns a conditional spatial query from the decoder embedding for decoder multi-head cross-attention.

Object Detection

Content-Aware Convolutional Neural Networks

1 code implementation30 Jun 2021 Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang

In practice, the convolutional operation on some of the windows (e. g., smooth windows that contain very similar pixels) can be very redundant and may introduce noises into the computation.

On the Connection between Local Attention and Dynamic Depth-wise Convolution

1 code implementation ICLR 2022 Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang

Sparse connectivity: there is no connection across channels, and each position is connected to the positions within a small local window.

Object Detection Semantic Segmentation

Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression

1 code implementation CVPR 2021 Zigang Geng, Ke Sun, Bin Xiao, Zhaoxiang Zhang, Jingdong Wang

Our motivation is that regressing keypoint positions accurately needs to learn representations that focus on the keypoint regions.

Keypoint Detection

Learning Versatile Neural Architectures by Propagating Network Codes

1 code implementation ICLR 2022 Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo

(4) Thorough studies of NCP on inter-, cross-, and intra-tasks highlight the importance of cross-task neural architecture design, i. e., multitask neural architectures and architecture transferring between different tasks.

Neural Architecture Search Semantic Segmentation +1

Boosting Adversarial Transferability through Enhanced Momentum

no code implementations19 Mar 2021 Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, Kun He

Various momentum iterative gradient-based methods are shown to be effective to improve the adversarial transferability.

Adversarial Attack

Admix: Enhancing the Transferability of Adversarial Attacks

1 code implementation ICCV 2021 Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He

We investigate in this direction and observe that existing transformations are all applied on a single image, which might limit the adversarial transferability.

Consistent Instance Classification for Unsupervised Representation Learning

no code implementations1 Jan 2021 Depu Meng, Zigang Geng, Zhirong Wu, Bin Xiao, Houqiang Li, Jingdong Wang

The proposed consistent instance classification (ConIC) approach simultaneously optimizes the classification loss and an additional consistency loss explicitly penalizing the feature dissimilarity between the augmented views from the same instance.

Classification General Classification +1

Improving Person Re-identification with Iterative Impression Aggregation

no code implementations21 Sep 2020 Dengpan Fu, Bo Xin, Jingdong Wang, Dong-Dong Chen, Jianmin Bao, Gang Hua, Houqiang Li

Not only does such a simple method improve the performance of the baseline models, it also achieves comparable performance with latest advanced re-ranking methods.

Person Re-Identification Re-Ranking

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

1 code implementation ICML 2020 Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang

Specifically, we discriminate texture from shape based on local self-information in an image, and adopt a Dropout-like algorithm to decorrelate the model output from the local texture.

Domain Generalization Representation Learning

Distillation Guided Residual Learning for Binary Convolutional Neural Networks

1 code implementation10 Jul 2020 Jianming Ye, Shiliang Zhang, Jingdong Wang

We observe that, this performance gap leads to substantial residuals between intermediate feature maps of BCNN and FCNN.

SegFix: Model-Agnostic Boundary Refinement for Segmentation

4 code implementations ECCV 2020 Yuhui Yuan, Jingyi Xie, Xilin Chen, Jingdong Wang

We present a model-agnostic post-processing scheme to improve the boundary quality for the segmentation result that is generated by any existing segmentation model.

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

1 code implementation ECCV 2020 Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin

A recent approach for object detection and human pose estimation is to regress bounding boxes or human keypoints from a central point on the object or person.

Instance Segmentation Object Detection +2

Efficient Semantic Video Segmentation with Per-frame Inference

1 code implementation ECCV 2020 Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang

For semantic segmentation, most existing real-time deep models trained with each frame independently may produce inconsistent results for a video sequence.

Frame Knowledge Distillation +4

Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

9 code implementations ECCV 2020 Yuhui Yuan, Xiaokang Chen, Xilin Chen, Jingdong Wang

We empirically demonstrate that the proposed approach achieves competitive performance on various challenging semantic segmentation benchmarks: Cityscapes, ADE20K, LIP, PASCAL-Context, and COCO-Stuff.

Ranked #2 on Semantic Segmentation on Cityscapes test (using extra training data)

Semantic Segmentation

Cross View Fusion for 3D Human Pose Estimation

1 code implementation ICCV 2019 Haibo Qiu, Chunyu Wang, Jingdong Wang, Naiyan Wang, Wen-Jun Zeng

It consists of two separate steps: (1) estimating the 2D poses in multi-view images and (2) recovering the 3D poses from the multi-view 2D poses.

3D Human Pose Estimation

Global-Local Temporal Representations For Video Person Re-Identification

no code implementations ICCV 2019 Jianing Li, Jingdong Wang, Qi Tian, Wen Gao, Shiliang Zhang

The long-term relations are captured by a temporal self-attention model to alleviate the occlusions and noises in video sequences.

Metric Learning Re-Ranking +1

Deep High-Resolution Representation Learning for Visual Recognition

31 code implementations20 Aug 2019 Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao

High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection.

 Ranked #1 on Object Detection on COCO test-dev (Hardware Burden metric)

Instance Segmentation Object Detection +4

Group Re-Identification with Multi-grained Matching and Integration

no code implementations17 May 2019 Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei

The task of re-identifying groups of people underdifferent camera views is an important yet less-studied problem. Group re-identification (Re-ID) is a very challenging task sinceit is not only adversely affected by common issues in traditionalsingle object Re-ID problems such as viewpoint and human posevariations, but it also suffers from changes in group layout andgroup membership.

Structured Knowledge Distillation for Dense Prediction

1 code implementation CVPR 2019 Yifan Liu, Changyong Shun, Jingdong Wang, Chunhua Shen

Here we propose to distill structured knowledge from large networks to compact networks, taking into account the fact that dense prediction is a structured prediction problem.

Depth Estimation General Classification +5

Deep High-Resolution Representation Learning for Human Pose Estimation

34 code implementations CVPR 2019 Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang

We start from a high-resolution subnetwork as the first stage, gradually add high-to-low resolution subnetworks one by one to form more stages, and connect the mutli-resolution subnetworks in parallel.

Instance Segmentation Multi-Person Pose Estimation +3

Collaborative Quantization for Cross-Modal Similarity Search

no code implementations CVPR 2016 Ting Zhang, Jingdong Wang

Cross-modal similarity search is a problem about designing a search system supporting querying across content modalities, e. g., using an image to search for texts or using a text to search for images.

Quantization

Deep Triplet Quantization

1 code implementation1 Feb 2019 Bin Liu, Yue Cao, Mingsheng Long, Jian-Min Wang, Jingdong Wang

We propose Deep Triplet Quantization (DTQ), a novel approach to learning deep quantization models from the similarity triplets.

Image Retrieval Quantization

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

no code implementations1 Jan 2019 Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang

However, there remain two unsolved challenges: i) there exist inconsistencies in cross-platform association due to platform-specific disparity, and ii) data from distinct platforms may have different semantic granularities.

Weakly Supervised Dense Event Captioning in Videos

no code implementations NeurIPS 2018 Xuguang Duan, Wenbing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, Junzhou Huang

Dense event captioning aims to detect and describe all events of interest contained in a video.

Accelerating Deep Neural Networks with Spatial Bottleneck Modules

no code implementations7 Sep 2018 Junran Peng, Lingxi Xie, Zhao-Xiang Zhang, Tieniu Tan, Jingdong Wang

This paper presents an efficient module named spatial bottleneck for accelerating the convolutional layers in deep neural networks.

OCNet: Object Context Network for Scene Parsing

8 code implementations4 Sep 2018 Yuhui Yuan, Lang Huang, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong Wang

To capture richer context information, we further combine our interlaced sparse self-attention scheme with the conventional multi-scale context schemes including pyramid pooling~\citep{zhao2017pyramid} and atrous spatial pyramid pooling~\citep{chen2018deeplab}.

Scene Parsing Semantic Segmentation

Interleaved Structured Sparse Convolutional Neural Networks

no code implementations CVPR 2018 Guotian Xie, Jingdong Wang, Ting Zhang, Jian-Huang Lai, Richang Hong, Guo-Jun Qi

In this paper, we study the problem of designing efficient convolutional neural network architectures with the interest in eliminating the redundancy in convolution kernels.

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

3 code implementations1 Jun 2018 Ke Sun, Mingjie Li, Dong Liu, Jingdong Wang

In this paper, we are interested in building lightweight and efficient convolutional neural networks.

Image Classification Object Detection

Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing

1 code implementation CVPR 2018 Zilong Huang, Xinggang Wang, Jiasi Wang, Wenyu Liu, Jingdong Wang

Inspired by the traditional image segmentation methods of seeded region growing, we propose to train a semantic segmentation network starting from the discriminative regions and progressively increase the pixel-level supervision using by seeded region growing.

Ranked #21 on Weakly-Supervised Semantic Segmentation on COCO 2014 val (using extra training data)

Weakly-Supervised Semantic Segmentation

IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks

2 code implementations17 Apr 2018 Guotian Xie, Jingdong Wang, Ting Zhang, Jian-Huang Lai, Richang Hong, Guo-Jun Qi

In this paper, we study the problem of designing efficient convolutional neural network architectures with the interest in eliminating the redundancy in convolution kernels.

Object Detection in Videos by High Quality Object Linking

no code implementations30 Jan 2018 Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wen-Jun Zeng, Jingdong Wang

In particular, our method improves results by 8. 8% over the static image detector for fast moving objects.

Frame General Classification +1

LVreID: Person Re-Identification with Long Sequence Videos

no code implementations20 Dec 2017 Jianing Li, Shiliang Zhang, Jingdong Wang, Wen Gao, Qi Tian

This paper mainly establishes a large-scale Long sequence Video database for person re-IDentification (LVreID).

Person Re-Identification

Composite Quantization

1 code implementation4 Dec 2017 Jingdong Wang, Ting Zhang

We introduce a composite quantization framework.

Quantization

S4Net: Single Stage Salient-Instance Segmentation

1 code implementation CVPR 2019 Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu

Taking into account the category-independent property of each target, we design a single stage salient instance segmentation framework, with a novel segmentation branch.

Instance Segmentation Semantic Segmentation

Global versus Localized Generative Adversarial Nets

2 code implementations CVPR 2018 Guo-Jun Qi, Liheng Zhang, Hao Hu, Marzieh Edraki, Jingdong Wang, Xian-Sheng Hua

In this paper, we present a novel localized Generative Adversarial Net (GAN) to learn on the manifold of real data.

General Classification

Interleaved Group Convolutions

no code implementations ICCV 2017 Ting Zhang, Guo-Jun Qi, Bin Xiao, Jingdong Wang

The main point lies in a novel building block, a pair of two successive interleaved group convolutions: primary group convolution and secondary group convolution.

Ensemble Diffusion for Retrieval

no code implementations ICCV 2017 Song Bai, Zhichao Zhou, Jingdong Wang, Xiang Bai, Longin Jan Latecki, Qi Tian

This stimulates a great research interest of considering similarity fusion in the framework of diffusion process (i. e., fusion with diffusion) for robust retrieval.

3D Shape Classification 3D Shape Retrieval +1

Human Pose Estimation using Global and Local Normalization

no code implementations ICCV 2017 Ke Sun, Cuiling Lan, Junliang Xing, Wen-Jun Zeng, Dong Liu, Jingdong Wang

We present a two-stage normalization scheme, human body normalization and limb normalization, to make the distribution of the relative joint locations compact, resulting in easier learning of convolutional spatial models and more accurate pose estimation.

Pose Estimation

Rethink ReLU to Training Better CNNs

no code implementations19 Sep 2017 Gangming Zhao, Zhao-Xiang Zhang, He Guan, Peng Tang, Jingdong Wang

Most of convolutional neural networks share the same characteristic: each convolutional layer is followed by a nonlinear activation layer where Rectified Linear Unit (ReLU) is the most widely used.

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

1 code implementation ICCV 2017 Liming Zhao, Xi Li, Jingdong Wang, Yueting Zhuang

In this paper, we address the problem of person re-identification, which refers to associating the persons captured from different cameras.

Person Re-Identification

Orthogonal and Idempotent Transformations for Learning Deep Neural Networks

no code implementations19 Jul 2017 Jingdong Wang, Yajie Xing, Kexin Zhang, Cha Zhang

Identity transformations, used as skip-connections in residual networks, directly connect convolutional layers close to the input and those close to the output in deep neural networks, improving information flow and thus easing the training.

Interleaved Group Convolutions for Deep Neural Networks

2 code implementations10 Jul 2017 Ting Zhang, Guo-Jun Qi, Bin Xiao, Jingdong Wang

The main point lies in a novel building block, a pair of two successive interleaved group convolutions: primary group convolution and secondary group convolution.

Learning Correspondence Structures for Person Re-identification

no code implementations20 Mar 2017 Weiyao Lin, Yang shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu

We first introduce a boosting-based approach to learn a correspondence structure which indicates the patch-wise matching probabilities between images from a target camera pair.

Patch Matching Person Re-Identification

Deep Convolutional Neural Networks with Merge-and-Run Mappings

4 code implementations23 Nov 2016 Liming Zhao, Jingdong Wang, Xi Li, Zhuowen Tu, Wen-Jun Zeng

A deep residual network, built by stacking a sequence of residual blocks, is easy to train, because identity mappings skip residual branches and thus improve information flow.

Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons

no code implementations21 Jul 2016 Lingxi Xie, Qi Tian, John Flynn, Jingdong Wang, Alan Yuille

For this, we consider the neurons in the hidden layer as neural words, and construct a set of geometric neural phrases on top of them.

Image Classification

A Survey on Learning to Hash

no code implementations1 Jun 2016 Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, Heng Tao Shen

In this paper, we present a comprehensive survey of the learning to hash algorithms, categorize them according to the manners of preserving the similarities into: pairwise similarity preserving, multiwise similarity preserving, implicit similarity preserving, as well as quantization, and discuss their relations.

Quantization

Deeply-Fused Nets

2 code implementations25 May 2016 Jingdong Wang, Zhen Wei, Ting Zhang, Wen-Jun Zeng

Second, in our suggested fused net formed by one deep and one shallow base networks, the flows of the information from the earlier intermediate layer of the deep base network to the output and from the input to the later intermediate layer of the deep base network are both improved.

InterActive: Inter-Layer Activeness Propagation

no code implementations CVPR 2016 Lingxi Xie, Liang Zheng, Jingdong Wang, Alan Yuille, Qi Tian

An increasing number of computer vision tasks can be tackled with deep features, which are the intermediate outputs of a pre-trained Convolutional Neural Network.

General Classification

DisturbLabel: Regularizing CNN on the Loss Layer

2 code implementations CVPR 2016 Lingxi Xie, Jingdong Wang, Zhen Wei, Meng Wang, Qi Tian

During a long period of time we are combating over-fitting in the CNN training process with model regularization, including weight decay, model averaging, data augmentation, etc.

Data Augmentation

Good Practice in CNN Feature Transfer

no code implementations1 Apr 2016 Liang Zheng, Yali Zhao, Shengjin Wang, Jingdong Wang, Qi Tian

The objective of this paper is the effective transfer of the Convolutional Neural Network (CNN) feature in image search and classification.

General Classification Image Retrieval

RIDE: Reversal Invariant Descriptor Enhancement

no code implementations ICCV 2015 Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang, Qi Tian

In many fine-grained object recognition datasets, image orientation (left/right) might vary from sample to sample.

Object Recognition

Scalable Person Re-Identification: A Benchmark

no code implementations ICCV 2015 Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, Qi Tian

As a minor contribution, inspired by recent advances in large-scale image search, this paper proposes an unsupervised Bag-of-Words descriptor.

Image Retrieval Person Re-Identification

DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

no code implementations19 Oct 2015 Xi Li, Liming Zhao, Lina Wei, Ming-Hsuan Yang, Fei Wu, Yueting Zhuang, Haibin Ling, Jingdong Wang

A key problem in salient object detection is how to effectively model the semantic properties of salient objects in a data-driven manner.

Multi-Task Learning RGB Salient Object Detection +3

Sparse Composite Quantization

no code implementations CVPR 2015 Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang

The benefit is that the distance evaluation between the query and the dictionary element (a sparse vector) is accelerated using the efficient sparse vector operation, and thus the cost of distance table computation is reduced a lot.

Quantization

Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification

no code implementations CVPR 2015 Dapeng Chen, Zejian yuan, Gang Hua, Nanning Zheng, Jingdong Wang

We follow the learning-to-rank methodology and learn a similarity function to maximize the difference between the similarity scores of matched and unmatched images for a same person.

Learning-To-Rank Patch Matching +1

Co-Saliency Detection via Looking Deep and Wide

no code implementations CVPR 2015 Dingwen Zhang, Junwei Han, Chao Li, Jingdong Wang

In the proposed framework, the wide and deep information are explored for the object proposal windows extracted in each image, and the co-saliency scores are calculated by integrating the intra-image contrast and intra group consistency via a principled Bayesian formulation.

Co-Salient Object Detection Image Retrieval

Person Re-identification with Correspondence Structure Learning

1 code implementation ICCV 2015 Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang

This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification.

Patch Matching Person Re-Identification

Group $K$-Means

no code implementations5 Jan 2015 Jianfeng Wang, Shuicheng Yan, Yi Yang, Mohan S. Kankanhalli, Shipeng Li, Jingdong Wang

We study how to learn multiple dictionaries from a dataset, and approximate any data point by the sum of the codewords each chosen from the corresponding dictionary.

Salient Object Detection: A Discriminative Regional Feature Integration Approach

no code implementations CVPR 2013 Huaizu Jiang, Zejian yuan, Ming-Ming Cheng, Yihong Gong, Nanning Zheng, Jingdong Wang

Our method, which is based on multi-level image segmentation, utilizes the supervised learning approach to map the regional feature vector to a saliency score.

RGB Salient Object Detection Salient Object Detection +1

Deep Regression for Face Alignment

no code implementations18 Sep 2014 Baoguang Shi, Xiang Bai, Wenyu Liu, Jingdong Wang

In this paper, we present a deep regression approach for face alignment.

Face Alignment

Hashing for Similarity Search: A Survey

no code implementations13 Aug 2014 Jingdong Wang, Heng Tao Shen, Jingkuan Song, Jianqiu Ji

Similarity search (nearest neighbor search) is a problem of pursuing the data items whose distances to a query item are the smallest from a large database.

Low-rank SIFT: An Affine Invariant Feature for Place Recognition

no code implementations7 Aug 2014 Chao Yang, Shengnan Caih, Jingdong Wang, Long Quan

As an extension of SIFT, our method seeks to add prior to solve the ill-posed affine parameter estimation problem and normalizes them directly, and is applicable to objects with regular structures.

Translation

Inner Product Similarity Search using Compositional Codes

no code implementations19 Jun 2014 Chao Du, Jingdong Wang

This paper addresses the nearest neighbor search problem under inner product similarity and introduces a compact code-based approach.

Orientational Pyramid Matching for Recognizing Indoor Scenes

no code implementations CVPR 2014 Lingxi Xie, Jingdong Wang, Baining Guo, Bo Zhang, Qi Tian

The novelty lies in that OPM uses the 3D orientations to form the pyramid and produce the pooling regions, which is unlike SPM that uses the spatial positions to form the pyramid.

General Classification Scene Classification +1

Optimized Cartesian $K$-Means

no code implementations16 May 2014 Jianfeng Wang, Jingdong Wang, Jingkuan Song, Xin-Shun Xu, Heng Tao Shen, Shipeng Li

In OCKM, multiple sub codewords are used to encode the subvector of a data point in a subspace.

Quantization

Fast Approximate $K$-Means via Cluster Closures

no code implementations11 Dec 2013 Jingdong Wang, Jing Wang, Qifa Ke, Gang Zeng, Shipeng Li

Traditional $k$-means is an iterative algorithm---in each iteration new cluster centers are computed and each data point is re-assigned to its nearest center.

Image Retrieval

Scalable $k$-NN graph construction

no code implementations30 Jul 2013 Jingdong Wang, Jing Wang, Gang Zeng, Zhuowen Tu, Rui Gan, Shipeng Li

The $k$-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to construct $k$-NN graphs remains a challenge, especially for large-scale high-dimensional data.

graph construction

Hybrid Affinity Propagation

no code implementations30 Jul 2013 Jingdong Wang, Hao Xu, Xian-Sheng Hua, Shipeng Li

We formulate this problem as finding a few image exemplars to represent the image set semantically and visually, and solve it in a hybrid way by exploiting both visual and textual information associated with images.

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