Research

Stay hungry. Stay foolish.
Marginalized Augmented Few-shot Domain Adaptation
Jing, Taotao, Haifeng Xia, Jihun Hamm, and Zhengming Ding
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 [PDF] [Code] [Data]
Generative Inference Network for Imbalanced Domain Generalization
Xia, Haifeng, Taotao Jing, and Zhengming Ding
IEEE Transactions on Image Processing (TIP), 2023 [PDF] [Code] [Data]
InAction: Interpretable Action Decision Making for Autonomous Driving
Jing, Taotao, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua Domeyer, Rini Sherony, and Zhengming Ding
European Conference on Computer Vision (ECCV), 2022 [PDF] [Code] [Data]
Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation
Xia, Haifeng, Taotao Jing, and Zhengming Ding
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 [PDF] [Code] [Data]
Augmented Multi-Modality Fusion for Generalized Zero-Shot Sketch-based Visual Retrieval
Jing, Taotao, Haifeng Xia, Jihun Hamm, and Zhengming Ding
IEEE Transactions on Image Processing (TIP), 2022 [PDF] [Code] [Data]
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car
Chen, Tina*, Taotao Jing*, Renran Tian, Yaobin Chen, Joshua Domeyer, Heishiro Toyoda, Rini Sherony, and Zhengming Ding
Preprint , 2021 [PDF] [Code] [Data]
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
Jing, Taotao, Bingrong Xu, and Zhengming Ding
IEEE Transactions on Image Processing (TIP), 2021 [PDF] [Code]
Towards Novel Target Discovery Through Open-Set Domain Adaptation
Jing, Taotao, Hongfu Liu, and Zhengming Ding
International Conference on Computer Vision (ICCV) (Oral), 2021 [PDF] [Code]
Semi-supervised Domain Adaptive Retrieval viaDiscriminative Hashing Learning
Xia, Haifeng, Taotao Jing, and Zhengming Ding
ACM International Conference on Multimedia (MM) (Oral), 2021 [PDF] [Code]
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
Jing, Taotao, and Zhengming Ding
IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 [PDF] [Code]
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation
Jing, Taotao, Haifeng Xia, and Zhengming Ding
ACM International Conference on Multimedia (MM), 2020 [PDF] [Code]
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation
Jing, Taotao, Ming Shao, and Zhengming Ding
arXiv preprint arXiv:2008.11360, 2020 [PDF] [code]
EV-Action: Electromyography-Vision Multi-Modal Action Dataset
Wang, Lichen, Bin Sun, Joseph Robinson, Taotao Jing, and Yun Fu
IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2020 [PDF] [code]
FEATURED TAGS
Test Transfer Learning Domain Adaptation Dataset Multimodal Learning Autonomous Driving Interpretable AI
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Scott Jing

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