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09/21/2023
MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic Segmentation
Multi-modal unsupervised domain adaptation (MM-UDA) for 3D semantic segm...
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09/11/2023
Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data
Multivariate Time-Series (MTS) data is crucial in various application fi...
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09/11/2023
Graph Contextual Contrasting for Multivariate Time Series Classification
Contrastive learning, as a self-supervised learning paradigm, becomes po...
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05/30/2023
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels? A Metric for Unsupervised Evaluation of Domain Adaptation
Unsupervised domain adaptation (UDA) involves adapting a model trained o...
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05/12/2023
MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
4D human perception plays an essential role in a myriad of applications,...
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03/18/2023
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation
Continual Test-Time Adaptation (CTTA) generalizes conventional Test-Time...
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03/18/2023
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
Continuous Video Domain Adaptation (CVDA) is a scenario where a source m...
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03/18/2023
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation
For video models to be transferred and applied seamlessly across video t...
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11/17/2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
Video analysis tasks such as action recognition have received increasing...
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08/10/2022
EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation
To enable video models to be applied seamlessly across video tasks in di...
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04/13/2022
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation
Assuming the source label space subsumes the target one, Partial Video D...
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03/09/2022
Learning Temporal Consistency for Source-Free Video Domain Adaptation
Video-based Unsupervised Domain Adaptation (VUDA) methods improve the ro...
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02/19/2022
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study
While action recognition (AR) has gained large improvements with the int...
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09/26/2021
Self-Supervised Video Representation Learning by Video Incoherence Detection
This paper introduces a novel self-supervised method that leverages inco...
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09/21/2021
Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment
Multi-Source Domain Adaptation (MSDA) is a more practical domain adaptat...
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07/11/2021
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network
Partial Domain Adaptation (PDA) is a practical and general domain adapta...
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07/11/2021
Aligning Correlation Information for Domain Adaptation in Action Recognition
Domain adaptation (DA) approaches address domain shift and enable networ...
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08/26/2020
Effective Action Recognition with Embedded Key Point Shifts
Temporal feature extraction is an essential technique in video-based act...
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06/09/2020
PNL: Efficient Long-Range Dependencies Extraction with Pyramid Non-Local Module for Action Recognition
Long-range spatiotemporal dependencies capturing plays an essential role...
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06/06/2020
ARID: A New Dataset for Recognizing Action in the Dark
The task of action recognition in dark videos is useful in various scena...
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05/06/2020