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07/26/2023
Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models
Blind video quality assessment (BVQA) plays an indispensable role in mon...
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06/08/2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Although graph neural networks (GNNs) have achieved impressive achieveme...
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06/05/2023
MotionTrack: Learning Motion Predictor for Multiple Object Tracking
Significant advancements have been made in multi-object tracking (MOT) w...
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05/11/2023
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator
Classifier-free guidance is an effective sampling technique in diffusion...
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03/23/2023
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
The advent of open-source AI communities has produced a cornucopia of po...
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02/18/2023
Towards Radar Emitter Recognition in Changing Environments with Domain Generalization
Analyzing radar signals from complex Electronic Warfare (EW) environment...
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06/11/2022
Bilateral Dependency Optimization: Defending Against Model-inversion Attacks
Through using only a well-trained classifier, model-inversion (MI) attac...
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04/21/2022
Multi-scale Knowledge Distillation for Unsupervised Person Re-Identification
Unsupervised person re-identification is a challenging and promising tas...
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04/12/2022
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation
Nuclear norm maximization has shown the power to enhance the transferabi...
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06/11/2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
In few-shot domain adaptation (FDA), classifiers for the target domain a...
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02/08/2021
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
In learning to discover novel classes(L2DNC), we are given labeled data ...
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12/28/2020
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy
Reducing feature redundancy has shown beneficial effects for improving t...
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07/01/2020
