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Unsupervised Noisy Tracklet Person Re-identification
Existing person re-identification (re-id) methods mostly rely on supervi...
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Faster Person Re-Identification
Fast person re-identification (ReID) aims to search person images quickl...
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Transfer Learning for Protein Structure Classification at Low Resolution
Structure determination is key to understanding protein function at a mo...
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Unsupervised Transfer Learning with Self-Supervised Remedy
Generalising deep networks to novel domains without manual labels is cha...
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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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Peer Collaborative Learning for Online Knowledge Distillation
Traditional knowledge distillation uses a two-stage training strategy to...
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Characteristic Regularisation for Super-Resolving Face Images
Existing facial image super-resolution (SR) methods focus mostly on impr...
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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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Zero-Shot Crowd Behavior Recognition
Understanding crowd behavior in video is challenging for computer vision...
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Universal Person Re-Identification
Most state-of-the-art person re-identification (re-id) methods depend on...
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Unsupervised Deep Learning by Neighbourhood Discovery
Deep convolutional neural networks (CNNs) have demonstrated remarkable s...
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Unsupervised Person Re-identification by Soft Multilabel Learning
Although unsupervised person re-identification (RE-ID) has drawn increas...
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Unsupervised Tracklet Person Re-Identification
Most existing person re-identification (re-id) methods rely on supervise...
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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...
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Low-Resolution Face Recognition
Whilst recent face-recognition (FR) techniques have made significant pro...
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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...
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Self-Referenced Deep Learning
Knowledge distillation is an effective approach to transferring knowledg...
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Vehicle Re-Identification in Context
Existing vehicle re-identification (re-id) evaluation benchmarks conside...
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Unsupervised Person Re-identification by Deep Learning Tracklet Association
Mostexistingpersonre-identification(re-id)methods relyon supervised mode...
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Deep Association Learning for Unsupervised Video Person Re-identification
Deep learning methods have started to dominate the research progress of ...
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Person Search by Multi-Scale Matching
We consider the problem of person search in unconstrained scene images. ...
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Open Logo Detection Challenge
Existing logo detection benchmarks consider artificial deployment scenar...
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Person Re-Identification in Identity Regression Space
Most existing person re-identification (re-id) methods are unsuitable fo...
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Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge distillation is effective to train small and generalisable net...
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Imbalanced Deep Learning by Minority Class Incremental Rectification
Model learning from class imbalanced training data is a long-standing an...
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Surveillance Face Recognition Challenge
Face recognition (FR) is one of the most extensively investigated proble...
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Scalable Deep Learning Logo Detection
Existing logo detection methods usually consider a small number of logo ...
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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...
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Harmonious Attention Network for Person Re-Identification
Existing person re-identification (re-id) methods either assume the avai...
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Class Rectification Hard Mining for Imbalanced Deep Learning
Recognising detailed facial or clothing attributes in images of people i...
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Recent Advances in Zero-shot Recognition
With the recent renaissance of deep convolution neural networks, encoura...
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Attribute Recognition by Joint Recurrent Learning of Context and Correlation
Recognising semantic pedestrian attributes in surveillance images is a c...
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Identity Alignment by Noisy Pixel Removal
Identity alignment models assume precisely annotated images manually. Hu...
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Actor-Critic Sequence Training for Image Captioning
Generating natural language descriptions of images is an important capab...
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Discovering Visual Concept Structure with Sparse and Incomplete Tags
Discovering automatically the semantic structure of tagged visual data (...
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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 ...
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Deep Learning Logo Detection with Data Expansion by Synthesising Context
Logo detection in unconstrained images is challenging, particularly when...
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Human-In-The-Loop Person Re-Identification
Current person re-identification (re-id) methods assume that (1) pre-lab...
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Highly Efficient Regression for Scalable Person Re-Identification
Existing person re-identification models are poor for scaling up to larg...
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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...
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Person Re-Identification by Unsupervised Video Matching
Most existing person re-identification (ReID) methods rely only on the s...
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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...
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Deep Learning Prototype Domains for Person Re-Identification
Person re-identification (re-id) is the task of matching multiple occurr...
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Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes
Recognising detailed clothing characteristics (fine-grained attributes) ...
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Learning a Discriminative Null Space for Person Re-identification
Most existing person re-identification (re-id) methods focus on learning...
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Person Re-Identification by Discriminative Selection in Video Ranking
Current person re-identification (ReID) methods typically rely on single...
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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...
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Free-hand Sketch Synthesis with Deformable Stroke Models
We present a generative model which can automatically summarize the stro...
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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...
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Transductive Multi-class and Multi-label Zero-shot Learning
Recently, zero-shot learning (ZSL) has received increasing interest. The...
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