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09/21/2023
CPR-Coach: Recognizing Composite Error Actions based on Single-class Training
The fine-grained medical action analysis task has received considerable ...
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07/30/2023
Open-Set Domain Adaptation with Visual-Language Foundation Models
Unsupervised domain adaptation (UDA) has proven to be very effective in ...
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06/02/2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
We present a novel vision-language prompt learning approach for few-shot...
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04/20/2023
Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition
To transfer the knowledge learned from a labeled source domain to an unl...
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04/10/2023
Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models
Removing out-of-distribution (OOD) images from noisy images scraped from...
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10/23/2022
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
Rotation is frequently listed as a candidate for data augmentation in co...
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04/20/2022
A Survey of Video-based Action Quality Assessment
Human action recognition and analysis have great demand and important ap...
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10/20/2021
Noisy Annotation Refinement for Object Detection
Supervised training of object detectors requires well-annotated large-sc...
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04/01/2021
Divergence Optimization for Noisy Universal Domain Adaptation
Universal domain adaptation (UniDA) has been proposed to transfer knowle...
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11/03/2020
The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals
We propose a new optimization framework for aleatoric uncertainty estima...
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07/22/2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Semi-supervised learning (SSL) has been proposed to leverage unlabeled d...
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08/14/2019