About

Taotao(Scott) Jing, Ph.D. Computer Vision Engineer, Senior Multimedia R&D, Qualcomm Inc. San Diego, CA 92121, USA Email (work): tjing [AT] qti [DOT] qualcomm [DOT] com Email (personal): scottjingtt [AT] gmail [DOT] com [CV ] [ Google Scholar ] [ DBLP ] [ WOS ] [ Research Gate ] [ LinkedIn ] [ Github ] [ Semantic Scholar ]

Biography

I am a Senior Computer Vision Engineer in the Multimedia R&D Team at Qualcomm Inc. I obtained my Ph.D. in Computer Science from Tulane University, USA, under the guidance of Prof. Zhengming Allan Ding. My research expertise lies in Computer Vision, Transfer Learning, and Interpretable AI, encompassing diverse areas such as Image Classification, Domain Adaptation, and Interpretable Autonomous Vehicle tasks. Prior to my doctoral studies, I earned my Master’s degree in Computer System Engineering from Northeastern University, USA, where I had the privilege of collaborating with Professor Yun Raymond Fu at SMILE Lab. I initiated my academic journey with a Bachelor’s degree from Xi’an Jiaotong University, China. My academic endeavors have endowed me with a resilient groundwork in state-of-the-art technologies and advanced research methodologies in the field of computer science. My fervent commitment to research is centered around cultivating transparent and dependable AI systems, thereby effectively narrowing the divide between human capabilities and artificial intelligence.

News 🔖

• Oct. 2023: Our paper about panorama indoor room layout estimation is accepted by WACV 2024.
• Aug. 2023: Start a new position as Senior Computer Vision Engineer at Qualcomm Inc. 💻
• July 2023: Successfully defended my Ph.D. dissertation. 🎉 🎓
• June 2023: 🔥 We’re thrilled to announce the release of the 🚶🚗Pedestrian Situated Intent Dataset (PSI 2.0) and the upcoming 🏆 IEEE ITSS Student Competition in Pedestrian and Driver Behavior Prediction for automated driving! 🛎 🤖
• Mar. 2023: Our paper about few-shot domain adaptation is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
• Feb. 2023: Our paper about domain generalization is accepted by IEEE Transactions on Image Processing (TIP).
• July 2022: Our paper about interpretable driving decision prediction is accepted by ECCV 2022.
• June 2022: I will be serving as a volunteer mentor for CVPR 2022 welcoming students from underrepresented groups and first-time attendees to the world of artificial intelligence and computer vision. It is an honor to contribute to improving the diversity of the CV community.
• June 2022: I start a new position as a Computer Vision Intern at Zillow Group, Inc.
• May 2022: We get one paper on domain adaptation accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Congratulations to Haifeng.
• May 2022: Our paper about sketch-based image retrieval is accepted by IEEE Transactions on Image Processing (TIP).
• Apr. 2022: I passed the oral qualifying exam and became a Ph.D. candidate officially.
• Mar. 2022: Our Pedestrian Situated Intention Dataset is now available for use.
• Sep. 2021: We get one paper accepted by IEEE Transactions on Image Processing (TIP).
• July 2021: We get one paper accepted by ICCV 2021 (Oral).
• July 2021: We get one paper accepted by ACM MM 2021 (Oral).
• Jan. 2021: Start my new journey as a Ph.D. student at Tulane University, USA
• Aug. 2020: We get one paper accepted by WACV 2021.
• July 2020: We get one paper accepted by ACM MM 2020.
• Jan. 2020: We get one paper accepted by FG 2020.
• Jan. 2019: Begin my new journey as a Ph.D. student at Purdue University, USA.
• Sep. 2018: Start working as Research Assistant at Purdue University, USA

Work Experience

Qualcomm Technologies, Inc., San Diego, USA Position: Computer Vision Engineer, Senior    (Aug. 2023 - Present) Group: Multimedia R&D

Publications

Journal Paper

• Jing, Taotao, Haifeng Xia, Jihun Hamm, and Zhengming Ding. “Marginalized Augmented Few-shot Domain Adaptation.” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. [Paper][Code]
• Xia, Haifeng, Taotao Jing, and Zhengming Ding. “Generative Inference Network for Imbalanced Domain Generalization.” IEEE Transactions on Image Processing (TIP), 2023. [Paper][Code]
• Xia, Haifeng, Taotao Jing, and Zhengming Ding. “Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation.” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [Paper][Code]
• Jing, Taotao, Haifeng Xia, Jihun Hamm, and Zhengming Ding. “Augmented Multi-Modality Fusion for Generalized Zero-Shot Sketch-based Visual Retrieval.” IEEE Transactions on Image Processing (TIP), 2022. [Paper][Code]
• Jing, Taotao, Bingrong Xu, and Zhengming Ding. “Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation.” IEEE Transactions on Image Processing (TIP), 2021. [Paper][Code]

Conference Paper

• Jing, Taotao, Lichen Wang, Naji Khosravan, Zhiqiang Wan, Zachary Bessinger, Zhengming Ding, and Sing Bing Kang. “iBARLE: imBalance-Aware Room Layout Estimation” In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. [Paper][Code]
• Jing, Taotao, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua Domeyer, Rini Sherony, and Zhengming Ding. “InAction: Interpretable Action Decision Making for Autonomous Driving” In Proceedings of the European Conference on Computer Vision (ECCV), 2022. [Paper(Comming soon)][Code]
• Jing, Taotao, Hongfu Liu, and Zhengming Ding. “Towards Novel Target Discovery Through Open-Set Domain Adaptation.” In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (Oral), 2021. [Paper][Code]
• Xia, Haifeng, Taotao Jing, and Zhengming Ding “Semi-supervised Domain Adaptation Retrieval via Discriminative Hashing Learning.” In Proceedings of the ACM International Conference on Multimedia (MM) (Oral), 2021. [Paper]
• Jing, Taotao, and Zhengming Ding. “Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation.” In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021. [Paper]
• Jing, Taotao, Haifeng Xia, and Zhengming Ding, “Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation,” In Proceedings of the ACM International Conference on Multimedia (MM), 2020. [Paper]
• Wang, Lichen, Bin Sun, Joseph Robinson, Taotao Jing, and Yun Fu. “EV-Action: Electromyography-Vision Multi-Modal Action Dataset.” In IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2020.  [Code] [Paper]

Preprint

• Chen, Tina*, Taotao Jing*, Renran Tian, Yaobin Chen, Joshua Domeyer, Heishiro Toyoda, Rini Sherony, and Zhengming Ding. “PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car.” Preprint (Arxiv), 2022.  [Code] [Paper][Homepage]

Education

Ph.D. Student in Computer Science   (Jan. 2021 - Aug. 2023) Department of Computer Science Tulane University, New Orleans, USA
Ph.D. Student in Electrical and Computer Engineering   (Jan. 2019 - Dec. 2020) (transferred out) Department of Electrical and Computer Engineering Purdue University, Indianapolis, USA
M.S. Degree in Computer System Engineering  (Sep. 2016 - Jul. 2018) Department of Electrical and Computer Engineering Northeastern University, Boston, USA
B.S. Degree in Electronic Science and Technology   (Sep. 2012 - Jul. 2016) Department of Electronic Science School of Electronic and Information Engineering Xi'an Jiaotong University, Xi'an, China

Research Experience

Tulane University, New Orleans, USA Research Assistant    (Jan. 2021 - Aug. 2023) Supervisor: Prof. Zhengming (Allan) Ding Topic: Interpretable Machine Learning, Domain Adaptation, Multi-view Learning
Zillow Group, Seattle, USA Computer Vision Intern    (June 2022 - Dec. 2022) Supervisor: Dr. Lichen Wang Dr. Sing Bing Kang Topic: Transfer Learning, Indoor Visual Analysis
Purdue University, Indianapolis, USA Research Assistant    (Sep. 2018 - Dec. 2020) Supervisor: Prof. Zhengming (Allan) Ding Topic: Transfer Learning, Domain Adaptation, Fairness Learning
SmileLab, Northeastern University, Boston, USA Research Assistant    (Jan. 2018 - Jul. 2018) Supervisor: Prof. Yun Raymond Fu Topic: Multi-view Learning, Action Recognition
Xi'an Jiaotong University, Xi'an, China Research Assistant    (Sep. 2015 - Jul. 2016)

Presentations & Talks

• Oral: “Towards Novel Target Discovery Through Open-Set Domain Adaptation”    (ICCV 2021)
  
• Poster: “PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car”    (CVPR 2022)
  
• Poster: “Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation.”    (WACV 2021)
  
• Poster: “Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation”    (ACM MM 2020)
  

Academic Service

Conference Reviewer

• Neural Information Processing Systems (NeurIPS)
• International Joint Conference on Artificial Intelligence (IJCAI)
• European Conference on Computer Vision (ECCV)
• Conference on Computer Vision and Pattern Recognition (CVPR)
• Winter Conference on Applications of Computer Vision (WACV)
• European Conference on Artificial Intelligence (ECAI)
• IEEE Intelligent Transportation Systems Society Conference (ITSC)

Journal Reviewer

• Neurocomputing
• IEEE Transactions on Neural Networks and Learning System (TNNLS)
• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• IET Image Processig
• Journal of Electronic Imaging (JEI)
• Information Sciences (INS)
• Cognitive Computation

Volunteer

• Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans, USA
• Conference on Neural Information Processing Systems (NeurIPS), 2022, New Orleans, USA