b'Shaogang Gong'

research

∙ 03/16/2023

GridCLIP: One-Stage Object Detection by Grid-Level CLIP Representation Learning

A vision-language foundation model pretrained on very large-scale image-...

0 Jiayi Lin, et al. ∙

research

∙ 08/29/2022

Federated Zero-Shot Learning with Mid-Level Semantic Knowledge Transfer

Conventional centralised deep learning paradigms are not feasible when d...

0 Shitong Sun, et al. ∙

research

∙ 07/13/2022

Rapid Person Re-Identification via Sub-space Consistency Regularization

Person Re-Identification (ReID) matches pedestrians across disjoint came...

0 Qingze Yin, et al. ∙

research

∙ 06/02/2022

Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling

Domain adaptation (DA) aims to transfer knowledge learned from a labeled...

0 Jian Hu, et al. ∙

research

∙ 05/23/2022

Feature-Distribution Perturbation and Calibration for Generalized Person ReID

Person Re-identification (ReID) has been advanced remarkably over the la...

0 Qilei Li, et al. ∙

research

∙ 03/28/2022

A Framework of Meta Functional Learning for Regularising Knowledge Transfer

Machine learning classifiers' capability is largely dependent on the sca...

7 Pan Li, et al. ∙

research

∙ 12/01/2021

Ranking Distance Calibration for Cross-Domain Few-Shot Learning

Recent progress in few-shot learning promotes a more realistic cross-dom...

0 Pan Li, et al. ∙

research

∙ 10/22/2021

Local-Global Associative Frame Assemble in Video Re-ID

Noisy and unrepresentative frames in automatically generated object boun...

0 Qilei Li, et al. ∙

research

∙ 10/21/2021

Decentralised Person Re-Identification with Selective Knowledge Aggregation

Existing person re-identification (Re-ID) methods mostly follow a centra...

0 Shitong Sun, et al. ∙

research

∙ 03/03/2021

Deep Clustering by Semantic Contrastive Learning

Whilst contrastive learning has achieved remarkable success in self-supe...

0 Jiabo Huang, et al. ∙

research

∙ 01/16/2021

Unsupervised Noisy Tracklet Person Re-identification

Existing person re-identification (re-id) methods mostly rely on supervi...

4 Minxian Li, et al. ∙

research

∙ 08/16/2020

Faster Person Re-Identification

Fast person re-identification (ReID) aims to search person images quickl...

0 Guan'an Wang, et al. ∙

research

∙ 08/11/2020

Transfer Learning for Protein Structure Classification at Low Resolution

Structure determination is key to understanding protein function at a mo...

0 Alexander Hudson, et al. ∙

research

∙ 06/08/2020

Unsupervised Transfer Learning with Self-Supervised Remedy

Generalising deep networks to novel domains without manual labels is cha...

21 Jiabo Huang, et al. ∙

research

∙ 06/07/2020

Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification

Deep learning has been successful for many computer vision tasks due to ...

0 Guile Wu, et al. ∙

research

∙ 06/07/2020

Peer Collaborative Learning for Online Knowledge Distillation

Traditional knowledge distillation uses a two-stage training strategy to...

0 Guile Wu, et al. ∙

research

∙ 12/30/2019

Characteristic Regularisation for Super-Resolving Face Images

Existing facial image super-resolution (SR) methods focus mostly on impr...

5 Zhiyi Cheng, et al. ∙

research

∙ 08/27/2019

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

Existing person re-identification (re-id) methods rely mostly on a large...

14 Xiangping Zhu, et al. ∙

research

∙ 08/16/2019

Zero-Shot Crowd Behavior Recognition

Understanding crowd behavior in video is challenging for computer vision...

4 Xun Xu, et al. ∙

research

∙ 07/22/2019

Universal Person Re-Identification

Most state-of-the-art person re-identification (re-id) methods depend on...

6 Xu Lan, et al. ∙

research

∙ 04/25/2019

Unsupervised Deep Learning by Neighbourhood Discovery

Deep convolutional neural networks (CNNs) have demonstrated remarkable s...

0 Jiabo Huang, et al. ∙

research

∙ 03/15/2019

Unsupervised Person Re-identification by Soft Multilabel Learning

Although unsupervised person re-identification (RE-ID) has drawn increas...

0 Hong-Xing Yu, et al. ∙

research

∙ 03/01/2019

Unsupervised Tracklet Person Re-Identification

Most existing person re-identification (re-id) methods rely on supervise...

4 Minxian Li, et al. ∙

research

∙ 11/28/2018

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

Sketch has been employed as an effective communicative tool to express t...

0 Peng Lu, et al. ∙

research

∙ 11/21/2018

Low-Resolution Face Recognition

Whilst recent face-recognition (FR) techniques have made significant pro...

0 Zhiyi Cheng, et al. ∙

research

∙ 11/20/2018

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

The objective learning formulation is essential for the success of convo...

0 Qi Dong, et al. ∙

research

∙ 11/19/2018

Self-Referenced Deep Learning

Knowledge distillation is an effective approach to transferring knowledg...

0 Xu Lan, et al. ∙

research

∙ 09/25/2018

Vehicle Re-Identification in Context

Existing vehicle re-identification (re-id) evaluation benchmarks conside...

0 Aytac Kanaci, et al. ∙

research

∙ 09/08/2018

Unsupervised Person Re-identification by Deep Learning Tracklet Association

Mostexistingpersonre-identification(re-id)methods relyon supervised mode...

0 Minxian Li, et al. ∙

research

∙ 08/22/2018

Deep Association Learning for Unsupervised Video Person Re-identification

Deep learning methods have started to dominate the research progress of ...

3 Yanbei Chen, et al. ∙

research

∙ 07/23/2018

Person Search by Multi-Scale Matching

We consider the problem of person search in unconstrained scene images. ...

0 Xu Lan, et al. ∙

research

∙ 07/05/2018

Open Logo Detection Challenge

Existing logo detection benchmarks consider artificial deployment scenar...

2 Hang Su, et al. ∙

research

∙ 06/25/2018

Person Re-Identification in Identity Regression Space

Most existing person re-identification (re-id) methods are unsuitable fo...

4 Hanxiao Wang, et al. ∙

research

∙ 06/12/2018

Knowledge Distillation by On-the-Fly Native Ensemble

Knowledge distillation is effective to train small and generalisable net...

0 Xu Lan, et al. ∙

research

∙ 04/28/2018

Imbalanced Deep Learning by Minority Class Incremental Rectification

Model learning from class imbalanced training data is a long-standing an...

0 Qi Dong, et al. ∙

research

∙ 04/25/2018

Surveillance Face Recognition Challenge

Face recognition (FR) is one of the most extensively investigated proble...

1 Zhiyi Cheng, et al. ∙

research

∙ 03/30/2018

Scalable Deep Learning Logo Detection

Existing logo detection methods usually consider a small number of logo ...

0 Hang Su, et al. ∙

research

∙ 03/26/2018

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

Most existing person re-identification (re-id) methods require supervise...

0 Jingya Wang, et al. ∙

research

∙ 02/22/2018

Harmonious Attention Network for Person Re-Identification

Existing person re-identification (re-id) methods either assume the avai...

0 Wei Li, et al. ∙

research

∙ 12/08/2017

Class Rectification Hard Mining for Imbalanced Deep Learning

Recognising detailed facial or clothing attributes in images of people i...

0 Qi Dong, et al. ∙

research

∙ 10/13/2017

Recent Advances in Zero-shot Recognition

With the recent renaissance of deep convolution neural networks, encoura...

0 Yanwei Fu, et al. ∙

research

∙ 09/25/2017

Attribute Recognition by Joint Recurrent Learning of Context and Correlation

Recognising semantic pedestrian attributes in surveillance images is a c...

0 Jingya Wang, et al. ∙

research

∙ 07/10/2017

Identity Alignment by Noisy Pixel Removal

Identity alignment models assume precisely annotated images manually. Hu...

0 Xu Lan, et al. ∙

research

∙ 06/29/2017

Actor-Critic Sequence Training for Image Captioning

Generating natural language descriptions of images is an important capab...

0 Li Zhang, et al. ∙

research

∙ 05/30/2017

Discovering Visual Concept Structure with Sparse and Incomplete Tags

Discovering automatically the semantic structure of tagged visual data (...

0 Jingya Wang, et al. ∙

research

∙ 05/12/2017

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

Existing person re-identification (re-id) methods rely mostly on either ...

0 Wei Li, et al. ∙

research

∙ 12/29/2016

Deep Learning Logo Detection with Data Expansion by Synthesising Context

Logo detection in unconstrained images is challenging, particularly when...

0 Hang Su, et al. ∙

research

∙ 12/05/2016

Human-In-The-Loop Person Re-Identification

Current person re-identification (re-id) methods assume that (1) pre-lab...

0 Hanxiao Wang, et al. ∙

research

∙ 12/05/2016

Highly Efficient Regression for Scalable Person Re-Identification

Existing person re-identification models are poor for scaling up to larg...

0 Hanxiao Wang, et al. ∙

research

∙ 11/26/2016

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

Zero-Shot Learning (ZSL) promises to scale visual recognition by bypassi...

0 Xun Xu, et al. ∙

Shaogang Gong

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