Meet the Team
Dawei Du, Ph.D.
Senior R&D Engineer
Kitware New York
Clifton Park, NY
Ph.D. in Applied Computer Technology
University of Chinese Academy of Sciences
M.S. in Engineering
University of Electronic Science and Technology of China
B.S. in Engineering
University of Electronic Science and Technology of China
Dawei Du is a senior R&D engineer on Kitware’s Computer Vision Team located in Clifton Park, New York. His research interests include computer vision and machine learning topics, such as visual tracking, object detection, semantic segmentation, crowd counting, activity recognition, person search, domain adaptation, and image inpainting.
On the Defense Advanced Research Projects Agency (DARPA) SAIL-ON program, Dawei built a series of activity recognition-based novelty detection methods. For the Air Force Research Laboratory (AFRL) DIY-AI effort, Dawei worked on image and video-based person search methods by exploiting cross-attention information between different identities. He was also involved in another government-funded project where he helped design a BERT-based text classification algorithm to detect emergency posts on social media.
Dawei is also a frequent journal reviewer for numerous IEEE publications, including Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Transactions on Neural Networks and Learning Systems (TNNLS), Transactions on Information Forensics and Security (TIFS), and Transactions on Knowledge and Data Engineering (TKDE). He has also served as a conference reviewer for the International Conference on Image Processing (ICIP), the International Joint Conference on Artificial Intelligence (IJCAI), the Conference on Computer Vision and Pattern Recognition (CVPR), ICCV, ECCV, and others.
Prior to joining Kitware, Dawei was a post-doctoral researcher at the University at Albany, State University of New York, where he primarily worked on UA-DETRAC object detection and tracking platforms and VisDrone video analysis.
Dawei received his Ph.D. in applied computer technology from the University of Chinese Academy of Sciences in 2018. He received his master’s and bachelor’s degrees in engineering from the University of Electronic Science and Technology of China in 2013 and 2010, respectively.
Professional Associations & Service
Senior Program Committee Member for the International Journal of Computer Vision (IJCV), 2021
Workshop organizer for the European Conference on Computer Vision (ECCV), 2020
Area Chair for the International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2019
Workshop organizer for the International Conference on Computer Vision (ICCV), 2019
Workshop organizer for AVSS, 2018
Publications
- D. Du, A. Shringi, A. Hoogs, and C. Funk, "Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition," in 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. [URL]
- D. Davila, D. Du, B. Lewis, C. Funk, J. Van Pelt, R. Collins, K. Corona, M. Brown, S. McCloskey, A. Hoogs, and B. Clipp, "MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification," in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. [URL]
- D. Du, C. Funk, and A. Hoogs, "Novelty Detection in Remote Sensing Imagery," in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022. [URL]
- R. Yu, D. Du, R. LaLonde, D. Davila, C. Funk, A. Hoogs, and B. Clipp, "Cascade Transformers for End-to-End Person Search," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022. [URL]