Search Results for author: Wu Liu

Found 31 papers, 11 papers with code

Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes

1 code implementation ECCV 2020 Lingxiao He, Wu Liu

More importantly, we propose a new matching approach, called Guided Adaptive Spatial Matching (GASM), which expects that each spatial feature in the query can find the most similar spatial features of a person in a gallery to match.

Person Re-Identification

Content-Consistent Matching for Domain Adaptive Semantic Segmentation

1 code implementation ECCV 2020 Guangrui Li, Guoliang Kang, Wu Liu, Yunchao Wei, Yi Yang

The target of CCM is to acquire those synthetic images that share similar distribution with the real ones in the target domain, so that the domain gap can be naturally alleviated by employing the content-consistent synthetic images for training.

Domain Adaptation Semantic Segmentation +1

Putting People in their Place: Monocular Regression of 3D People in Depth

1 code implementation15 Dec 2021 Yu Sun, Wu Liu, Qian Bao, Yili Fu, Tao Mei, Michael J. Black

To do so, we exploit a 3D body model space that lets BEV infer shapes from infants to adults.

MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification

no code implementations21 Oct 2021 Yajun Gao, Tengfei Liang, Yi Jin, Xiaoyan Gu, Wu Liu, Yidong Li, Congyan Lang

The RGB-infrared cross-modality person re-identification (ReID) task aims to recognize the images of the same identity between the visible modality and the infrared modality.

Cross-Modality Person Re-identification Person Re-Identification

CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification

no code implementations18 Oct 2021 Tengfei Liang, Yi Jin, Yajun Gao, Wu Liu, Songhe Feng, Tao Wang, Yidong Li

The existing convolutional neural network-based methods mainly face the problem of insufficient perception of modalities' information, and can not learn good discriminative modality-invariant embeddings for identities, which limits their performance.

Cross-Modality Person Re-identification Person Re-Identification

A Baseline Framework for Part-level Action Parsing and Action Recognition

no code implementations7 Oct 2021 Xiaodong Chen, Xinchen Liu, Kun Liu, Wu Liu, Tao Mei

This technical report introduces our 2nd place solution to Kinetics-TPS Track on Part-level Action Parsing in ICCV DeeperAction Workshop 2021.

Action Parsing Action Recognition +1

Semi-Supervised Domain Generalizable Person Re-Identification

3 code implementations11 Aug 2021 Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei

Instead, we aim to explore multiple labeled datasets to learn generalized domain-invariant representations for person re-id, which is expected universally effective for each new-coming re-id scenario.

Generalizable Person Re-identification Knowledge Distillation

FasterPose: A Faster Simple Baseline for Human Pose Estimation

no code implementations7 Jul 2021 Hanbin Dai, Hailin Shi, Wu Liu, Linfang Wang, Yinglu Liu, Tao Mei

By the experimental analysis, we find that the HR representation leads to a sharp increase of computational cost, while the accuracy improvement remains marginal compared with the low-resolution (LR) representation.

Pose Estimation

Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

no code implementations23 Apr 2021 Wu Liu, Qian Bao, Yu Sun, Tao Mei

We believe this survey will provide the readers with a deep and insightful understanding of monocular human pose estimation.

3D Human Pose Estimation

Group-aware Label Transfer for Domain Adaptive Person Re-identification

1 code implementation CVPR 2021 Kecheng Zheng, Wu Liu, Lingxiao He, Tao Mei, Jiebo Luo, Zheng-Jun Zha

In this paper, we propose a Group-aware Label Transfer (GLT) algorithm, which enables the online interaction and mutual promotion of pseudo-label prediction and representation learning.

Domain Adaptive Person Re-Identification Online Clustering +2

Explainable Person Re-Identification with Attribute-guided Metric Distillation

no code implementations ICCV 2021 Xiaodong Chen, Xinchen Liu, Wu Liu, Xiao-Ping Zhang, Yongdong Zhang, Tao Mei

In this paper, we propose a post-hoc method, named Attribute-guided Metric Distillation (AMD), to explain existing ReID models.

Person Re-Identification

TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition

1 code implementation9 Feb 2021 Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, XiaoPing Zhang, Tao Mei

Despite significant improvement in gait recognition with deep learning, existing studies still neglect a more practical but challenging scenario -- unsupervised cross-domain gait recognition which aims to learn a model on a labeled dataset then adapts it to an unlabeled dataset.

Gait Recognition

Neural Architecture Search for Joint Human Parsing and Pose Estimation

1 code implementation ICCV 2021 Dan Zeng, Yuhang Huang, Qian Bao, Junjie Zhang, Chi Su, Wu Liu

With the spirit of NAS, we propose to search for an efficient network architecture (NPPNet) to tackle two tasks at the same time.

Human Parsing Neural Architecture Search +1

Synthetic Training for Monocular Human Mesh Recovery

no code implementations27 Oct 2020 Yu Sun, Qian Bao, Wu Liu, Wenpeng Gao, Yili Fu, Chuang Gan, Tao Mei

To solve this problem, we design a multi-branch framework to disentangle the regression of different body properties, enabling us to separate each component's training in a synthetic training manner using unpaired data available.

Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification

no code implementations12 Oct 2020 Xiruo Shi, Liutong Xu, Pengfei Wang, Yuanyuan Gao, Haifang Jian, Wu Liu

Specifically, LAFE utilizes the region attention modules and channel attention modules to extract discriminative features and confusable features respectively.

Fine-Grained Image Classification General Classification

Hierarchical Gumbel Attention Network for Text-based Person Search

no code implementations10 Oct 2020 Kecheng Zheng, Wu Liu, Jiawei Liu, Zheng-Jun Zha, Tao Mei

This hard selection strategy is able to fuse the strong-relevant multi-modality features for alleviating the problem of matching redundancy.

Image Retrieval Image-to-Text Retrieval +3

Monocular, One-stage, Regression of Multiple 3D People

1 code implementation ICCV 2021 Yu Sun, Qian Bao, Wu Liu, Yili Fu, Michael J. Black, Tao Mei

Through a body-center-guided sampling process, the body mesh parameters of all people in the image are easily extracted from the Mesh Parameter map.

3D Multi-Person Mesh Recovery

Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification

no code implementations19 Aug 2020 Boqiang Xu, Lingxiao He, Xingyu Liao, Wu Liu, Zhenan Sun, Tao Mei

Given the input person image, the ensemble method would focus on the head-shoulder feature by assigning a larger weight if the individual insides the image is in black clothing.

Person Re-Identification

A Real-time Action Representation with Temporal Encoding and Deep Compression

no code implementations17 Jun 2020 Kun Liu, Wu Liu, Huadong Ma, Mingkui Tan, Chuang Gan

Our method achieves clear improvements on UCF101 action recognition benchmark against state-of-the-art real-time methods by 5. 4% in terms of accuracy and 2 times faster in terms of inference speed with a less than 5MB storage model.

Action Recognition

FastReID: A Pytorch Toolbox for General Instance Re-identification

2 code implementations4 Jun 2020 Lingxiao He, Xingyu Liao, Wu Liu, Xinchen Liu, Peng Cheng, Tao Mei

General Instance Re-identification is a very important task in the computer vision, which can be widely used in many practical applications, such as person/vehicle re-identification, face recognition, wildlife protection, commodity tracing, and snapshop, etc.. To meet the increasing application demand for general instance re-identification, we present FastReID as a widely used software system in JD AI Research.

Face Recognition Image Retrieval +2

Deep Recurrent Quantization for Generating Sequential Binary Codes

1 code implementation16 Jun 2019 Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen

To the end, when the model is trained, a sequence of binary codes can be generated and the code length can be easily controlled by adjusting the number of recurrent iterations.

Image Retrieval Quantization

PVSS: A Progressive Vehicle Search System for Video Surveillance Networks

no code implementations10 Jan 2019 Xinchen Liu, Wu Liu, Huadong Ma, Shuangqun Li

In this paper, a Progressive Vehicle Search System, named as PVSS, is designed to solve the above problems.

Multi-Granularity Reasoning for Social Relation Recognition from Images

no code implementations10 Jan 2019 Meng Zhang, Xinchen Liu, Wu Liu, Anfu Zhou, Huadong Ma, Tao Mei

To bridge the domain gap, we propose a Multi-Granularity Reasoning framework for social relation recognition from images.

KTAN: Knowledge Transfer Adversarial Network

no code implementations18 Oct 2018 Peiye Liu, Wu Liu, Huadong Ma, Tao Mei, Mingoo Seok

To transfer the knowledge of intermediate representations, we set high-level teacher feature maps as a target, toward which the student feature maps are trained.

Knowledge Distillation Object Detection +1

An efficient deep learning hashing neural network for mobile visual search

no code implementations21 Oct 2017 Heng Qi, Wu Liu, Liang Liu

Mobile visual search applications are emerging that enable users to sense their surroundings with smart phones.

Generalized Zero-Shot Learning for Action Recognition with Web-Scale Video Data

no code implementations20 Oct 2017 Kun Liu, Wu Liu, Huadong Ma, Wenbing Huang, Xiongxiong Dong

Motivated by this, we study the task of action recognition in surveillance video under a more realistic \emph{generalized zero-shot setting}, where testing data contains both seen and unseen classes.

Action Recognition Generalized Zero-Shot Learning

Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning

no code implementations5 Jun 2017 Jingkuan Song, Zhao Guo, Lianli Gao, Wu Liu, Dongxiang Zhang, Heng Tao Shen

Specifically, the proposed framework utilizes the temporal attention for selecting specific frames to predict the related words, while the adjusted temporal attention is for deciding whether to depend on the visual information or the language context information.

Language Modelling Video Captioning

Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection

no code implementations CVPR 2015 Wu Liu, Tao Mei, Yongdong Zhang, Cherry Che, Jiebo Luo

Given the tremendous growth of online videos, video thumbnail, as the common visualization form of video content, is becoming increasingly important to influence user's browsing and searching experience.

Multi-Task Learning

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