The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Hamed Pirsiavash sits on this spectrum.
This scientist: 117 publications — 14th percentile
14% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Hamed Pirsiavash sits on this spectrum.
This scientist: 33 D-Index — 13th percentile
13% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Hamed Pirsiavash is affiliated with the University of California, Davis in the United States. Their research primarily falls within the field of Computer Science, with a significant focus on Artificial Intelligence and Computer Vision and Pattern Recognition as leading subfields. Additional areas of study include Radiology, Nuclear Medicine and Imaging, Biophysics, and Cancer Research.
The scientist's work encompasses several key topics, notably Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, and Adversarial Robustness in Machine Learning. Further research themes include Advanced Neural Network Applications, Human Pose and Action Recognition, Advanced Image and Video Retrieval Techniques, and applications of AI in COVID-19 diagnosis.
Hamed Pirsiavash has contributed extensively to the academic literature, with publications appearing predominantly in venues such as arXiv (Cornell University), Maryland Shared Open Access Repository (USMAI Consortium), and major conferences including the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and the IEEE/CVF International Conference on Computer Vision (ICCV). The Proceedings of the AAAI Conference on Artificial Intelligence also counts among the frequent platforms of publication.
Their frequent co-authors include Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Soheil Kolouri, K L Navaneet, and Ali Abbasi, reflecting established collaborative networks within the research community.
Hamed Pirsiavash's contributions cover a broad spectrum of machine learning and artificial intelligence research, with a distinct emphasis on self-supervised learning methods, video and image analysis, and the robustness and security of AI models. Their work extends to the development and application of advanced neural network techniques as well as multimodal approaches integrating visual and textual data.
Carl Vondrick;Hamed Pirsiavash;Antonio Torralba
Hamed Pirsiavash;Deva Ramanan;Charless C. Fowlkes
Sangmin Oh;Anthony Hoogs;Amitha Perera;Naresh Cuntoor
Hamed Pirsiavash;Deva Ramanan
Carl Vondrick;Hamed Pirsiavash;Antonio Torralba
Carl Vondrick;Hamed Pirsiavash;Antonio Torralba
Mehdi Noroozi;Hamed Pirsiavash;Paolo Favaro
Aniruddha Saha;Akshayvarun Subramanya;Hamed Pirsiavash
Ali Diba;Vivek Sharma;Ali Pazandeh;Hamed Pirsiavash
Joseph J. Lim;Hamed Pirsiavash;Antonio Torralba
Mehdi Noroozi;Ananth Vinjimoor;Paolo Favaro;Hamed Pirsiavash
Unknown
Hamed Pirsiavash;Carl Vondrick;Antonio Torralba
Unknown
Hamed Pirsiavash;Deva Ramanan
Lluis Castrejon;Yusuf Aytar;Carl Vondrick;Hamed Pirsiavash
Hamed Pirsiavash;Deva Ramanan;Charless C. Fowlkes
Carl Vondrick;Hamed Pirsiavash;Antonio Torralba
Arsalan Mousavian;Hamed Pirsiavash;Jana Kosecka
Soheil Kolouri;Aniruddha Saha;Hamed Pirsiavash;Heiko Hoffmann
Yusuf Aytar;Lluis Castrejon;Carl Vondrick;Hamed Pirsiavash
John Adcock;Matthew Cooper;Laurent Denoue;Hamed Pirsiavash
Simon Ging;Mohammadreza Zolfaghari;Hamed Pirsiavash;Thomas Brox
Arsalan Mousavian;Hamed Pirsiavash;Jana Kosecka
Sangmin Oh;Anthony Hoogs;Amitha Perera;Naresh Cuntoor
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Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 38
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