Dr. Jing

Say what I think. Do what I say.

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

Abstract Autonomous driving attracts lots of interest in interpretable action decision models that mimic human cognition. Existing interpretable autonomous driving models explore static human expla...

Posted by Scott on July 3, 2022

Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation

Xia, Haifeng, Taotao Jing, and Zhengming Ding

Abstract Unsupervised domain adaptation (UDA) has recently become an appealing research topic in visual recognition, since it exploits all accessible well-labeled source data to train a model with ...

Posted by Scott on June 3, 2022

Augmented Multi-Modality Fusion for Generalized Zero-Shot Sketch-based Visual Retrieval

Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding

Abstract Zero-shot sketch-based image retrieval (ZS-SBIR) has attracted great attention recently, due to the potential application of sketch-based retrieval under zero-shot scenarios, where the cat...

Posted by Scott on May 2, 2022

Milestone! - Ph.D. Oral Qualifying Exam

Became a Ph.D. candidate officially

Sincerely appreciate the time of all my Ph.D. committee members! We had a great and inspiring discussion about transfer learning and domain adaptation. Finally, I passed the oral qualifying exam a...

Posted by Scott on April 27, 2022

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation

Taotao Jing, Bingrong Xu, Zhengming Ding

TFKT Citation If you think this work is interesting, feel free to cite 1 2 3 4 5 6 7 8 9 @article{jing2021towards, title={Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation}, a...

Posted by Scott on March 11, 2022

Towards Novel Target Discovery Through Open-Set Domain Adaptation

Taotao Jing, Hongfu Liu, Zhengming Ding

TFKT Citation If you think this work is interesting, feel free to cite 1 2 3 4 5 6 7 8 @inproceedings{jing2021towards, title={Towards novel target discovery through open-set domain adaptation}...

Posted by Scott on March 11, 2022

PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car

Tina Chen&ast, Taotao Jing, Renran Tian, Yaobin Chen, Joshua Domeyer, Heishiro Toyoda, Rini Sherony, Zhengming Ding

Abstract Prediction of pedestrian behavior is critical for fully autonomous vehicles to drive in busy city streets safely and efficiently. The future autonomous cars need to fit into mixed conditio...

Posted by Scott on March 11, 2022

EV-Action: Electromyography-Vision Multi-Modal Action Dataset

Lichen Wang, Bin Sun, Joseph Robinson, Taotao Jing, Yun Fu

TFKT Citation If you think this work is interesting, feel free to cite 1 2 3 4 5 6 7 8 @inproceedings{wang2020ev, title={Ev-action: Electromyography-vision multi-modal action dataset}, autho...

Posted by Scott on March 11, 2022

Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation

Taotao Jing, Zhengming Ding

TFKT Citation If you think this work is interesting, feel free to cite 1 2 3 4 5 6 7 @inproceedings{jing2021adversarial, title={Adversarial dual distinct classifiers for unsupervised domain ad...

Posted by Scott on March 11, 2022

Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation

Taotao Jing, Haifeng Xia, Zhengming Ding

TFKT Citation If you think this work is interesting, feel free to cite 1 2 3 4 5 6 7 @inproceedings{jing2020adaptively, title={Adaptively-accumulated knowledge transfer for partial domain adap...

Posted by Scott on March 11, 2022

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Test Transfer Learning Domain Adaptation Dataset Multimodal Learning Autonomous Driving Interpretable AI
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