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08/29/2023
Exploring Model Transferability through the Lens of Potential Energy
Transfer learning has become crucial in computer vision tasks due to the...
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01/16/2023
Modeling Uncertain Feature Representation for Domain Generalization
Though deep neural networks have achieved impressive success on various ...
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06/16/2022
Switchable Representation Learning Framework with Self-compatibility
Real-world visual search systems involve deployments on multiple platfor...
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03/29/2022
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
Image BERT pre-training with masked image modeling (MIM) becomes a popul...
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03/17/2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
Federated Learning (FL) is an emerging distributed learning paradigm und...
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03/03/2022
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains
Cross-domain person re-identification (re-ID), such as unsupervised doma...
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02/08/2022
Uncertainty Modeling for Out-of-Distribution Generalization
Though remarkable progress has been achieved in various vision tasks, de...
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12/28/2021
Towards Low Light Enhancement with RAW Images
In this paper, we make the first benchmark effort to elaborate on the su...
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10/18/2021
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics
Video Coding for Machines (VCM) is committed to bridging to an extent se...
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08/06/2021
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning
Visual retrieval system faces frequent model update and deployment. It i...
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08/05/2021
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
Unsupervised domain adaptive person re-identification (UDA re-ID) aims a...
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05/19/2021
Generalizable Person Re-identification with Relevance-aware Mixture of Experts
Domain generalizable (DG) person re-identification (ReID) is a challengi...
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12/26/2020
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
Unsupervised domain adaptive (UDA) person re-identification (re-ID) is a...
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12/11/2020
Market2Dish: Health-aware Food Recommendation
With the rising incidence of some diseases, such as obesity and diabetes...
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01/10/2020
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
Video coding, which targets to compress and reconstruct the whole frame,...
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01/09/2020
An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal
In this paper, we study a new problem arising from the emerging MPEG sta...
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01/09/2020
Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach
The past decades have witnessed the rapid development of image and video...
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07/31/2019
Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm
The digital retina in smart cities is to select what the City Eye tells ...
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05/12/2019
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Research on depth-based human activity analysis achieved outstanding per...
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05/10/2019
SPLINE-Net: Sparse Photometric Stereo through Lighting Interpolation and Normal Estimation Networks
This paper solves the Sparse Photometric stereo through Lighting Interpo...
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03/03/2019
Face Image Reflection Removal
Face images captured through the glass are usually contaminated by refle...
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02/08/2019
Skeleton-Based Online Action Prediction Using Scale Selection Network
Action prediction is to recognize the class label of an ongoing activity...
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01/15/2019
Feature Boosting Network For 3D Pose Estimation
In this paper, a feature boosting network is proposed for estimating 3D ...
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05/30/2018
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network
Removing the undesired reflections from images taken through the glass i...
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07/18/2017
Skeleton Based Human Action Recognition with Global Context-Aware Attention LSTM Networks
Human action recognition in 3D skeleton sequences has attracted a lot of...
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03/01/2017
Improving Object Detection with Region Similarity Learning
Object detection aims to identify instances of semantic objects of a cer...
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03/01/2017
