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Hamed Pirsiavash
Self-supervised Representation Learning
Adversarial Robustness
Deep Models
Computer Vision
About
Hamed Pirsiavash is an associate professor at the University of California, Davis. Prior to this, he was an associate professor at the University of Maryland Baltimore County and a postdoctoral research associate at MIT. He obtained his PhD at the University of California Irvine. He does research in the intersection of computer vision and machine learning. More specifically, he is interested in self-supervised representation learning and adversarial robustness of deep models.
Research Performance Summary
2005-2026
Active Research Span
First Recorded Paper
A front-end OCR for omni-font Persian/Arabic cursive printed documents
Year:
2005
Citations:
43
Venue:
Digital Image Computing: Techniques and Applications (DICTA'05)
Latest Recorded Paper
LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models
Year:
2026
Citations:
0
Venue:
arXiv preprint arXiv:2601.14674
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Pirsiavash
Koohpayegani
Research Impact by Period
Papers
5
Citations
11
Avg. Citations / Paper
2.2
H-Index
1
Papers
48
Citations
3000
Avg. Citations / Paper
62.5
H-Index
22
Papers
20
Citations
5742
Avg. Citations / Paper
287.1
H-Index
16
Papers
12
Citations
4315
Avg. Citations / Paper
359.6
H-Index
11
Papers
16
Citations
524
Avg. Citations / Paper
32.8
H-Index
10
Contact and Professional Links
Detected Research Keywords
Efficient Vision Transformers
Opti Acoustic Stereo
Acoustic Stereo Imaging
Constrained Mean Shift
Sampling Efficient Vision
Backdoor Attacks Supervised
Attacks Supervised Learning
Stereo Imaging System
Imaging System Calibration
Ocr Omni Font