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Pan He
Assistant Professor, Auburn University
Dept. of Comp. Sci. and Soft. Eng.
Samuel Ginn College of Engineering
Contact Information:
3101T Shelby Center
357-359 W Magnolia Ave
Auburn, AL 36832
Phone: +1 (334) 844-6389
Email: pan.he@auburn.edu
I am an assistant professor at Department of Computer Science and Software Engineering, Auburn University. I received my Ph.D. in Computer Science at Department of Computer & Information Science & Engineering, University of Florida. I received B.E. degree from Department of Software Engineering, Sichuan University in June, 2015. From 2014-2016, I worked as a Research Assistant at the Multimedia Lab, Department of Information Engineering, Chinese University of Hong Kong (MMLab, CUHK) and Multimedia Research Center, Shenzhen Institute of Advanced Technology (MMLab, SIAT).
I am interested in developing the essential AI techniques and seamlessly integrating them for creating or empowering real-time downstream applications in next-generation infrastructure systems.
Openings: I am currently searching for highly-talented students (PhDs, Masters, and Undergraduates) to work or remotely work with me. More details click.
Links: Resume | Google Scholar | GitHub | LinkedIn | Twitter | Facebook | ResearchGate | Semantic ScholarLatest News
| 04/2024: | Our paper "An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation" has been accepted in T-ITS |
| 04/2024: | Our paper "BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection" has been accepted in IJCAI |
| 03/2024: | Our paper "A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation" is publicly available arxiv |
| 02/2024: | Congratuations to Isaiah Gallardo for being selected as 2024 Wolotsz Graduate Student Fellow. |
| 12/2023: | Invited to serve as Associate Editor in IEEE Transactions on Neural Networks and Learning Systems (TNNLS). |
| 12/2023: | Congratuations to Isaiah Gallardo. His research proposal to the AAAI-24 Undergraduate Consortium has been accepted (with awarded travel funding) |
| 11/2023: | My PhD dissertation is publicly available dissertation |
| 11/2023: | Our paper "BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection" has been accepted in Backdoors in Deep Learning @ NeurIPS 2023 |
| 10/2023: | Our paper "Towards Improving the Generation Quality of Autoregressive Slot VAEs" has been accepted in Neural Computation |
| 08/2023: | Our paper "Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations" has been accepted in TPAMI |
| 08/2023: | Joined Auburn University as a tenure-track assistant professor. War Eagle! |
| 07/2023: | Our paper "A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications" has been accepted in ITSC |
| 07/2023: | Finished my PhD defense. Dissertation Title "Deep Learning on Spatiotemporal Point Cloud Modeling for Motion and Correspondence" |
| 03/2023: | Our paper "An Efficient Semi-Automated Scheme for LiDAR Annotation and A Benchmark Infrastructure Dataset" has been accepted in ICLR ML4IoT |
| 04/2022: | Our paper "Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks" has been accepted in IJTSR |
| 04/2022: | Received the CVPR'22 Doctoral Consortium Award |
| 03/2022: | Our paper "Machine Learning based Real-time Multi-Camera Vehicle Tracking and Travel Time Estimation" has been accepted in J. Imaging |
| 02/2022: | Our paper "Machine Learning-based Highway Truck Commodity Classification Using Logo Data" has been accepted in Appl. Sci. |
| 12/2021: | Our paper "Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions" has been accepted in AAAI |
| 11/2021: | Our paper "Learning Scene Dynamics from Point Cloud Sequences" has been accepted in IJCV |
| 10/2021: | Received the ICCV'21 Doctoral Consortium Award |
| 10/2021: | Our paper "Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection" has been accepted in TNNLS |
| 10/2021: | Our paper "Ego-Deliver: A Large-Scale Dataset for Egocentric Video Analysis" has been accepted in ACM-MM |
| 05/2021: | Our paper "Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations" has been accepted in ICML |
| 12/2020: | Our paper "SparsePipe: Parallel Deep Learning for 3D Point Clouds" has been accepted in HiPC |
Experience
| Research Intern: | Megvii Research US. May. 2017 - Aug. 2017 |
| Research Assistant: | MaltLab, University of Florida. Aug. 2017 - Present |
| NSF Center for Big Learning, University of Florida. Aug. 2016 - Jul. 2017 | |
| MMLab, The Chinese University of Hong Kong. Oct. 2015 - Jul. 2016 | |
| Multimedia Lab, SIAT, Chinese Academy of Sciences. Sept. 2014 - Jul. 2016 | |
| Summer Intern: | National University of Singapore, Jul. 2014 - Sept. 2014 |
| Project Developer: | Facebook Open Academy, Sept. 2013 - May. 2014 |
Selected Awards
| International Award: | Doctoral Consortium @ CVPR, 2022. Mentor: Prof. Fernando De la Torre |
| Doctoral Consortium @ ICCV, 2021. Mentor: Prof. James Hays | |
| UFL Award: | UF International Center Outstanding Achievement Awards, 2021 |
| Gartner Group Graduate Fellowship, 2022 | |
| Gartner Group Graduate Fellowship, 2021 | |
| Gartner Group Graduate Fellowship, 2020 | |
| SIAT-CAS Award: | Dean’s Award for Innovation and Creativity, 2016 |
| SCU Award: | Outstanding Graduate Award, 2015 |
| Best Bachelor Thesis Award, 2015 (only 2 recipients in SE department) |
Patents
METHODS AND APPARATUS FOR RECOGNIZING TEXT IN AN IMAGE [pdf][pdf2]
International Patent WO2016/197381Al with Xiaoou Tang, Yu Qiao, Chen Change Loy and Weilin Huang
APPARATUS AND METHOD FOR DETECTING SCENE TEXT [pdf]
US Patent US10679085 with Xiaolin Li
TEXT DETECTION METHOD AND DEVICE FOR SCENE IMAGE [pdf]
Chinese Patent: 201610878795.5. with Yu Qiao, Tong He, Weilin Huang and Zhi Tian