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06/26/2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Prototype-based meta-learning has emerged as a powerful technique for ad...
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04/18/2023
POCE: Pose-Controllable Expression Editing
Facial expression editing has attracted increasing attention with the ad...
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03/30/2023
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation
Generative Adversarial Networks (GANs) rely heavily on large-scale train...
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02/22/2023
Energy-Based Test Sample Adaptation for Domain Generalization
In this paper, we propose energy-based sample adaptation at test time fo...
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07/14/2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Most existing few-shot learning (FSL) methods require a large amount of ...
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07/08/2022
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection
This paper presents a Refinement Pyramid Transformer (RePFormer) for rob...
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04/06/2022
Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification
Recently, large-scale synthetic datasets are shown to be very useful for...
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01/10/2022
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond
Pedestrian detection is the cornerstone of many vision based application...
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12/05/2021
Global-Local Context Network for Person Search
Person search aims to jointly localize and identify a query person from ...
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11/29/2021
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification
Domain generalizable person re-identification aims to apply a trained mo...
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09/01/2021
Efficient Person Search: An Anchor-Free Approach
Person search aims to simultaneously localize and identify a query perso...
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08/19/2021
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction
While single-view 3D reconstruction has made significant progress benefi...
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07/10/2021
Local-to-Global Self-Attention in Vision Transformers
Transformers have demonstrated great potential in computer vision tasks....
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06/19/2021
Exploring Visual Context for Weakly Supervised Person Search
Person search has recently emerged as a challenging task that jointly ad...
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06/10/2021
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection
Unsupervised domain adaptation for object detection is a challenging pro...
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05/30/2021
Transformer-Based Deep Image Matching for Generalizable Person Re-identification
Transformers have recently gained increasing attention in computer visio...
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05/27/2021
When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model
In recent years, significant progress has been made in the research of f...
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04/04/2021
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification
Generalizable person re-identification has recently got increasing atten...
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03/22/2021
Anchor-Free Person Search
Person search aims to simultaneously localize and identify a query perso...
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11/24/2020
DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations
Existing person re-identification methods often have low generalization ...
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06/23/2020
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification
Person re-identification has seen significant advancement in recent year...
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06/11/2020
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification
Unsupervised domain adaptation (UDA) for person re-identification is cha...
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03/19/2020
Pedestrian Detection: The Elephant In The Room
Pedestrian detection is used in many vision based applications ranging f...
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03/08/2020
Pixel-In-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild
Recently, heatmap regression based models become popular because of thei...
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04/23/2019
Interpretable and Generalizable Deep Image Matching with Adaptive Convolutions
For image matching tasks, like face recognition and person re-identifica...
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04/05/2019
High-level Semantic Feature Detection:A New Perspective for Pedestrian Detection
Object detection generally requires sliding-window classifiers in tradit...
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03/24/2019
Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution
Spectral super-resolution (SSR) aims at generating a hyperspectral image...
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11/13/2018
Vehicle Re-identification Using Quadruple Directional Deep Learning Features
In order to resist the adverse effect of viewpoint variations for improv...
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07/07/2017
Learning Efficient Image Representation for Person Re-Identification
Color names based image representation is successfully used in person re...
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05/09/2017
Deep Person Re-Identification with Improved Embedding and Efficient Training
Person re-identification task has been greatly boosted by deep convoluti...
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11/01/2016
Embedding Deep Metric for Person Re-identication A Study Against Large Variations
Person re-identification is challenging due to the large variations of p...
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11/28/2014
Learning Face Representation from Scratch
Pushing by big data and deep convolutional neural network (CNN), the per...
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08/06/2014
A Fast and Accurate Unconstrained Face Detector
We propose a method to address challenges in unconstrained face detectio...
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08/05/2014
Open-set Person Re-identification
Person re-identification is becoming a hot research for developing both ...
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06/17/2014
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning
Person re-identification is an important technique towards automatic sea...
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06/05/2014