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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-...
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08/29/2022
Federated Zero-Shot Learning with Mid-Level Semantic Knowledge Transfer
Conventional centralised deep learning paradigms are not feasible when d...
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07/13/2022
Rapid Person Re-Identification via Sub-space Consistency Regularization
Person Re-Identification (ReID) matches pedestrians across disjoint came...
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06/02/2022
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
Domain adaptation (DA) aims to transfer knowledge learned from a labeled...
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05/23/2022
Feature-Distribution Perturbation and Calibration for Generalized Person ReID
Person Re-identification (ReID) has been advanced remarkably over the la...
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03/28/2022
A Framework of Meta Functional Learning for Regularising Knowledge Transfer
Machine learning classifiers' capability is largely dependent on the sca...
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12/01/2021
Ranking Distance Calibration for Cross-Domain Few-Shot Learning
Recent progress in few-shot learning promotes a more realistic cross-dom...
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10/22/2021
Local-Global Associative Frame Assemble in Video Re-ID
Noisy and unrepresentative frames in automatically generated object boun...
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10/21/2021
Decentralised Person Re-Identification with Selective Knowledge Aggregation
Existing person re-identification (Re-ID) methods mostly follow a centra...
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03/03/2021
Deep Clustering by Semantic Contrastive Learning
Whilst contrastive learning has achieved remarkable success in self-supe...
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01/16/2021
Unsupervised Noisy Tracklet Person Re-identification
Existing person re-identification (re-id) methods mostly rely on supervi...
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08/16/2020
Faster Person Re-Identification
Fast person re-identification (ReID) aims to search person images quickl...
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08/11/2020
Transfer Learning for Protein Structure Classification at Low Resolution
Structure determination is key to understanding protein function at a mo...
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06/08/2020
Unsupervised Transfer Learning with Self-Supervised Remedy
Generalising deep networks to novel domains without manual labels is cha...
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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 ...
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06/07/2020
Peer Collaborative Learning for Online Knowledge Distillation
Traditional knowledge distillation uses a two-stage training strategy to...
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12/30/2019
Characteristic Regularisation for Super-Resolving Face Images
Existing facial image super-resolution (SR) methods focus mostly on impr...
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08/27/2019
Intra-Camera Supervised Person Re-Identification: A New Benchmark
Existing person re-identification (re-id) methods rely mostly on a large...
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08/16/2019
Zero-Shot Crowd Behavior Recognition
Understanding crowd behavior in video is challenging for computer vision...
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07/22/2019
Universal Person Re-Identification
Most state-of-the-art person re-identification (re-id) methods depend on...
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04/25/2019
Unsupervised Deep Learning by Neighbourhood Discovery
Deep convolutional neural networks (CNNs) have demonstrated remarkable s...
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03/15/2019
Unsupervised Person Re-identification by Soft Multilabel Learning
Although unsupervised person re-identification (RE-ID) has drawn increas...
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03/01/2019
Unsupervised Tracklet Person Re-Identification
Most existing person re-identification (re-id) methods rely on supervise...
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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...
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11/21/2018
Low-Resolution Face Recognition
Whilst recent face-recognition (FR) techniques have made significant pro...
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11/20/2018
Single-Label Multi-Class Image Classification by Deep Logistic Regression
The objective learning formulation is essential for the success of convo...
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11/19/2018
Self-Referenced Deep Learning
Knowledge distillation is an effective approach to transferring knowledg...
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09/25/2018
Vehicle Re-Identification in Context
Existing vehicle re-identification (re-id) evaluation benchmarks conside...
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09/08/2018
Unsupervised Person Re-identification by Deep Learning Tracklet Association
Mostexistingpersonre-identification(re-id)methods relyon supervised mode...
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08/22/2018
Deep Association Learning for Unsupervised Video Person Re-identification
Deep learning methods have started to dominate the research progress of ...
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07/23/2018
Person Search by Multi-Scale Matching
We consider the problem of person search in unconstrained scene images. ...
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07/05/2018
Open Logo Detection Challenge
Existing logo detection benchmarks consider artificial deployment scenar...
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06/25/2018
Person Re-Identification in Identity Regression Space
Most existing person re-identification (re-id) methods are unsuitable fo...
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06/12/2018
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge distillation is effective to train small and generalisable net...
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04/28/2018
Imbalanced Deep Learning by Minority Class Incremental Rectification
Model learning from class imbalanced training data is a long-standing an...
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04/25/2018
Surveillance Face Recognition Challenge
Face recognition (FR) is one of the most extensively investigated proble...
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03/30/2018
Scalable Deep Learning Logo Detection
Existing logo detection methods usually consider a small number of logo ...
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03/26/2018
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
Most existing person re-identification (re-id) methods require supervise...
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02/22/2018
Harmonious Attention Network for Person Re-Identification
Existing person re-identification (re-id) methods either assume the avai...
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12/08/2017
Class Rectification Hard Mining for Imbalanced Deep Learning
Recognising detailed facial or clothing attributes in images of people i...
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10/13/2017
Recent Advances in Zero-shot Recognition
With the recent renaissance of deep convolution neural networks, encoura...
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09/25/2017
Attribute Recognition by Joint Recurrent Learning of Context and Correlation
Recognising semantic pedestrian attributes in surveillance images is a c...
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07/10/2017
Identity Alignment by Noisy Pixel Removal
Identity alignment models assume precisely annotated images manually. Hu...
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06/29/2017
Actor-Critic Sequence Training for Image Captioning
Generating natural language descriptions of images is an important capab...
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05/30/2017
Discovering Visual Concept Structure with Sparse and Incomplete Tags
Discovering automatically the semantic structure of tagged visual data (...
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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 ...
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12/29/2016
Deep Learning Logo Detection with Data Expansion by Synthesising Context
Logo detection in unconstrained images is challenging, particularly when...
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12/05/2016
Human-In-The-Loop Person Re-Identification
Current person re-identification (re-id) methods assume that (1) pre-lab...
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12/05/2016
Highly Efficient Regression for Scalable Person Re-Identification
Existing person re-identification models are poor for scaling up to larg...
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11/26/2016