Shaogang Gong

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Queen Mary University of London

Professor at Queen Mary University of London

Intra-Camera Supervised Person Re-Identification: A New Benchmark

Existing person re-identification (re-id) methods rely mostly on a large...
08/27/2019 ∙ by Xiangping Zhu, et al. ∙ 14 ∙ share

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Universal Person Re-Identification

Most state-of-the-art person re-identification (re-id) methods depend on...
07/22/2019 ∙ by Xu Lan, et al. ∙ 6 ∙ share

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Characteristic Regularisation for Super-Resolving Face Images

Existing facial image super-resolution (SR) methods focus mostly on impr...
12/30/2019 ∙ by Zhiyi Cheng, et al. ∙ 5 ∙ share

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Person Re-Identification in Identity Regression Space

Most existing person re-identification (re-id) methods are unsuitable fo...
06/25/2018 ∙ by Hanxiao Wang, et al. ∙ 4 ∙ share

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Unsupervised Tracklet Person Re-Identification

Most existing person re-identification (re-id) methods rely on supervise...
03/01/2019 ∙ by Minxian Li, et al. ∙ 4 ∙ share

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Zero-Shot Crowd Behavior Recognition

Understanding crowd behavior in video is challenging for computer vision...
08/16/2019 ∙ by Xun Xu, et al. ∙ 4 ∙ share

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Open Logo Detection Challenge

Existing logo detection benchmarks consider artificial deployment scenar...
07/05/2018 ∙ by Hang Su, et al. ∙ 2 ∙ share

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Deep Association Learning for Unsupervised Video Person Re-identification

Deep learning methods have started to dominate the research progress of ...
08/22/2018 ∙ by Yanbei Chen, et al. ∙ 2 ∙ share

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Surveillance Face Recognition Challenge

Face recognition (FR) is one of the most extensively investigated proble...
04/25/2018 ∙ by Zhiyi Cheng, et al. ∙ 1 ∙ share

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Attribute Recognition by Joint Recurrent Learning of Context and Correlation

Recognising semantic pedestrian attributes in surveillance images is a c...
09/25/2017 ∙ by Jingya Wang, et al. ∙ 0 ∙ share

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Identity Alignment by Noisy Pixel Removal

Identity alignment models assume precisely annotated images manually. Hu...
07/10/2017 ∙ by Xu Lan, et al. ∙ 0 ∙ share

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Actor-Critic Sequence Training for Image Captioning

Generating natural language descriptions of images is an important capab...
06/29/2017 ∙ by Li Zhang, et al. ∙ 0 ∙ share

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Discovering Visual Concept Structure with Sparse and Incomplete Tags

Discovering automatically the semantic structure of tagged visual data (...
05/30/2017 ∙ by Jingya Wang, et al. ∙ 0 ∙ share

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Person Re-Identification by Deep Joint Learning of Multi-Loss Classification

Existing person re-identification (re-id) methods rely mostly on either ...
05/12/2017 ∙ by Wei Li, et al. ∙ 0 ∙ share

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Deep Learning Logo Detection with Data Expansion by Synthesising Context

Logo detection in unconstrained images is challenging, particularly when...
12/29/2016 ∙ by Hang Su, et al. ∙ 0 ∙ share

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Human-In-The-Loop Person Re-Identification

Current person re-identification (re-id) methods assume that (1) pre-lab...
12/05/2016 ∙ by Hanxiao Wang, et al. ∙ 0 ∙ share

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Highly Efficient Regression for Scalable Person Re-Identification

Existing person re-identification models are poor for scaling up to larg...
12/05/2016 ∙ by Hanxiao Wang, et al. ∙ 0 ∙ share

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Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation

Zero-Shot Learning (ZSL) promises to scale visual recognition by bypassi...
11/26/2016 ∙ by Xun Xu, et al. ∙ 0 ∙ share

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Person Re-Identification by Unsupervised Video Matching

Most existing person re-identification (ReID) methods rely only on the s...
11/25/2016 ∙ by Xiaolong Ma, et al. ∙ 0 ∙ share

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Learning a Deep Embedding Model for Zero-Shot Learning

Zero-shot learning (ZSL) models rely on learning a joint embedding space...
11/15/2016 ∙ by Li Zhang, et al. ∙ 0 ∙ share

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Deep Learning Prototype Domains for Person Re-Identification

Person re-identification (re-id) is the task of matching multiple occurr...
10/17/2016 ∙ by Arne Schumann, et al. ∙ 0 ∙ share

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Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes

Recognising detailed clothing characteristics (fine-grained attributes) ...
10/12/2016 ∙ by Qi Dong, et al. ∙ 0 ∙ share

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Learning a Discriminative Null Space for Person Re-identification

Most existing person re-identification (re-id) methods focus on learning...
03/07/2016 ∙ by Li Zhang, et al. ∙ 0 ∙ share

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Person Re-Identification by Discriminative Selection in Video Ranking

Current person re-identification (ReID) methods typically rely on single...
01/23/2016 ∙ by Taiqing Wang, et al. ∙ 0 ∙ share

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Transductive Zero-Shot Action Recognition by Word-Vector Embedding

The number of categories for action recognition is growing rapidly and i...
11/13/2015 ∙ by Xun Xu, et al. ∙ 0 ∙ share

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Free-hand Sketch Synthesis with Deformable Stroke Models

We present a generative model which can automatically summarize the stro...
10/09/2015 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization

The growing rate of public space CCTV installations has generated a need...
07/27/2015 ∙ by Xun Xu, et al. ∙ 0 ∙ share

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Transductive Multi-class and Multi-label Zero-shot Learning

Recently, zero-shot learning (ZSL) has received increasing interest. The...
03/26/2015 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Transductive Multi-label Zero-shot Learning

Zero-shot learning has received increasing interest as a means to allevi...
03/26/2015 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Semantic Embedding Space for Zero-Shot Action Recognition

The number of categories for action recognition is growing rapidly. It i...
02/05/2015 ∙ by Xun Xu, et al. ∙ 0 ∙ share

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Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels

The problem of estimating subjective visual properties from image and vi...
01/25/2015 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Transductive Multi-view Zero-Shot Learning

Most existing zero-shot learning approaches exploit transfer learning vi...
01/19/2015 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Learning from Multiple Sources for Video Summarisation

Many visual surveillance tasks, e.g.video summarisation, is conventional...
01/13/2015 ∙ by Xiatian Zhu, et al. ∙ 0 ∙ share

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Semantic Graph for Zero-Shot Learning

Zero-shot learning aims to classify visual objects without any training ...
06/16/2014 ∙ by Zhen-Yong Fu, et al. ∙ 0 ∙ share

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Class Rectification Hard Mining for Imbalanced Deep Learning

Recognising detailed facial or clothing attributes in images of people i...
12/08/2017 ∙ by Qi Dong, et al. ∙ 0 ∙ share

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Harmonious Attention Network for Person Re-Identification

Existing person re-identification (re-id) methods either assume the avai...
02/22/2018 ∙ by Wei Li, et al. ∙ 0 ∙ share

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Scalable Deep Learning Logo Detection

Existing logo detection methods usually consider a small number of logo ...
03/30/2018 ∙ by Hang Su, et al. ∙ 0 ∙ share

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Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification

Most existing person re-identification (re-id) methods require supervise...
03/26/2018 ∙ by Jingya Wang, et al. ∙ 0 ∙ share

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Imbalanced Deep Learning by Minority Class Incremental Rectification

Model learning from class imbalanced training data is a long-standing an...
04/28/2018 ∙ by Qi Dong, et al. ∙ 0 ∙ share

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Knowledge Distillation by On-the-Fly Native Ensemble

Knowledge distillation is effective to train small and generalisable net...
06/12/2018 ∙ by Xu Lan, et al. ∙ 0 ∙ share

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Person Search by Multi-Scale Matching

We consider the problem of person search in unconstrained scene images. ...
07/23/2018 ∙ by Xu Lan, et al. ∙ 0 ∙ share

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Recent Advances in Zero-shot Recognition

With the recent renaissance of deep convolution neural networks, encoura...
10/13/2017 ∙ by Yanwei Fu, et al. ∙ 0 ∙ share

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Unsupervised Person Re-identification by Deep Learning Tracklet Association

Mostexistingpersonre-identification(re-id)methods relyon supervised mode...
09/08/2018 ∙ by Minxian Li, et al. ∙ 0 ∙ share

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Vehicle Re-Identification in Context

Existing vehicle re-identification (re-id) evaluation benchmarks conside...
09/25/2018 ∙ by Aytac Kanaci, et al. ∙ 0 ∙ share

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Self-Referenced Deep Learning

Knowledge distillation is an effective approach to transferring knowledg...
11/19/2018 ∙ by Xu Lan, et al. ∙ 0 ∙ share

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Single-Label Multi-Class Image Classification by Deep Logistic Regression

The objective learning formulation is essential for the success of convo...
11/20/2018 ∙ by Qi Dong, et al. ∙ 0 ∙ share

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Low-Resolution Face Recognition

Whilst recent face-recognition (FR) techniques have made significant pro...
11/21/2018 ∙ by Zhiyi Cheng, et al. ∙ 0 ∙ share

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Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network

Sketch has been employed as an effective communicative tool to express t...
11/28/2018 ∙ by Peng Lu, et al. ∙ 0 ∙ share

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Unsupervised Person Re-identification by Soft Multilabel Learning

Although unsupervised person re-identification (RE-ID) has drawn increas...
03/15/2019 ∙ by Hong-Xing Yu, et al. ∙ 0 ∙ share

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Unsupervised Deep Learning by Neighbourhood Discovery

Deep convolutional neural networks (CNNs) have demonstrated remarkable s...
04/25/2019 ∙ by Jiabo Huang, et al. ∙ 0 ∙ share

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Shaogang Gong

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