b'Jianfei Yang'

research

∙ 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...

0 Haozhi Cao, et al. ∙

research

∙ 09/11/2023

Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data

Multivariate Time-Series (MTS) data is crucial in various application fi...

0 Yucheng Wang, et al. ∙

research

∙ 09/11/2023

Graph Contextual Contrasting for Multivariate Time Series Classification

Contrastive learning, as a self-supervised learning paradigm, becomes po...

0 Yucheng Wang, et al. ∙

research

∙ 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...

0 Jianfei Yang, et al. ∙

research

∙ 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,...

0 Jianfei Yang, et al. ∙

research

∙ 03/18/2023

Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation

Continual Test-Time Adaptation (CTTA) generalizes conventional Test-Time...

0 Haozhi Cao, et al. ∙

research

∙ 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...

0 Xiyu Wang, et al. ∙

research

∙ 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...

0 Yuecong Xu, et al. ∙

research

∙ 09/21/2022

AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen Environment via Domain Generalization

WiFi-based smart human sensing technology enabled by Channel State Infor...

0 Dazhuo Wang, et al. ∙

research

∙ 08/30/2022

GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning

As an important biomarker for human identification, human gait can be co...

4 Lang Deng, et al. ∙

research

∙ 08/22/2022

MetaFi: Device-Free Pose Estimation via Commodity WiFi for Metaverse Avatar Simulation

Avatar refers to a representative of a physical user in the virtual worl...

0 Jianfei Yang, et al. ∙

research

∙ 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...

0 Yuecong Xu, et al. ∙

research

∙ 07/16/2022

Deep Learning and Its Applications to WiFi Human Sensing: A Benchmark and A Tutorial

WiFi sensing has been evolving rapidly in recent years. Empowered by pro...

14 Jianfei Yang, et al. ∙

research

∙ 05/28/2022

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

Domain Adaptation of Black-box Predictors (DABP) aims to learn a model o...

0 Jianfei Yang, et al. ∙

research

∙ 04/30/2022

Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels

Learning with noisy labels has aroused much research interest since data...

0 Kai Wang, et al. ∙

research

∙ 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...

0 Xiyu Wang, et al. ∙

research

∙ 04/12/2022

AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised Learning

WiFi sensing technology has shown superiority in smart homes among vario...

0 Jianfei Yang, et al. ∙

research

∙ 04/08/2022

EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression

WiFi technology has been applied to various places due to the increasing...

0 Jianfei Yang, et al. ∙

research

∙ 04/04/2022

RobustSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition

Deep neural networks have empowered accurate device-free human activity ...

0 Jianfei Yang, et al. ∙

research

∙ 03/11/2022

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications

A critical step in virtual dental treatment planning is to accurately de...

0 Jin Hao, et al. ∙

research

∙ 03/09/2022

Learning Temporal Consistency for Source-Free Video Domain Adaptation

Video-based Unsupervised Domain Adaptation (VUDA) methods improve the ro...

0 Yuecong Xu, et al. ∙

research

∙ 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...

0 Yuecong Xu, et al. ∙

research

∙ 01/28/2022

Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA), a branch of transfer learning wher...

0 Changwei Xu, et al. ∙

research

∙ 12/03/2021

Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation

The integration of Vector Quantised Variational AutoEncoder (VQ-VAE) wit...

2 Minghui Hu, et al. ∙

research

∙ 09/26/2021

Self-Supervised Video Representation Learning by Video Incoherence Detection

This paper introduces a novel self-supervised method that leverages inco...

0 Haozhi Cao, et al. ∙

research

∙ 09/21/2021

Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment

Multi-Source Domain Adaptation (MSDA) is a more practical domain adaptat...

7 Yuecong Xu, et al. ∙

research

∙ 07/11/2021

Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network

Partial Domain Adaptation (PDA) is a practical and general domain adapta...

0 Yuecong Xu, et al. ∙

research

∙ 07/11/2021

Aligning Correlation Information for Domain Adaptation in Action Recognition

Domain adaptation (DA) approaches address domain shift and enable networ...

0 Yuecong Xu, et al. ∙

research

∙ 10/29/2020

Suppressing Mislabeled Data via Grouping and Self-Attention

Deep networks achieve excellent results on large-scale clean data but de...

0 Xiaojiang Peng, et al. ∙

research

∙ 08/26/2020

Effective Action Recognition with Embedded Key Point Shifts

Temporal feature extraction is an essential technique in video-based act...

0 Haozhi Cao, et al. ∙

research

∙ 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...

0 Yuecong Xu, et al. ∙

research

∙ 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...

0 Yuecong Xu, et al. ∙

research

∙ 05/06/2020

Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition

Temporal feature extraction is an important issue in video-based action ...

9 Yuecong Xu, et al. ∙

research

∙ 03/30/2020

Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training

Domain adaptation tackles the problem of transferring knowledge from a l...

0 Jianfei Yang, et al. ∙

research

∙ 02/24/2020

Suppressing Uncertainties for Large-Scale Facial Expression Recognition

Annotating a qualitative large-scale facial expression dataset is extrem...

0 Kai Wang, et al. ∙

research

∙ 07/08/2019

Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression

This paper presents our approach for the engagement intensity regression...

0 Kai Wang, et al. ∙

research

∙ 05/10/2019

Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition

Occlusion and pose variations, which can change facial appearance signif...

0 Kai Wang, et al. ∙

research

∙ 04/08/2019

Kervolutional Neural Networks

Convolutional neural networks (CNNs) have enabled the state-of-the-art p...

18 Chen Wang, et al. ∙

Jianfei Yang

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