Hamed Pirsiavash

7.8k total citations · 2 hit papers
54 papers, 2.8k citations indexed

About

Hamed Pirsiavash is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Hamed Pirsiavash has authored 54 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 4 papers in Sociology and Political Science. Recurrent topics in Hamed Pirsiavash's work include Domain Adaptation and Few-Shot Learning (14 papers), Human Pose and Action Recognition (12 papers) and Multimodal Machine Learning Applications (11 papers). Hamed Pirsiavash is often cited by papers focused on Domain Adaptation and Few-Shot Learning (14 papers), Human Pose and Action Recognition (12 papers) and Multimodal Machine Learning Applications (11 papers). Hamed Pirsiavash collaborates with scholars based in United States, Iran and Switzerland. Hamed Pirsiavash's co-authors include Deva Ramanan, Antonio Torralba, Charless C. Fowlkes, Carl Vondrick, Paolo Favaro, Mehdi Noroozi, Joseph J. Lim, Luc Van Gool, Ali Diba and Ali Mohammad Pazandeh and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and The American Journal of Gastroenterology.

In The Last Decade

Hamed Pirsiavash

51 papers receiving 2.7k citations

Hit Papers

Globally-optimal greedy algorithms for tracking a variabl... 2011 2026 2016 2021 2011 2012 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hamed Pirsiavash United States 21 2.3k 1.0k 269 181 175 54 2.8k
Dima Damen United Kingdom 22 1.9k 0.8× 692 0.7× 185 0.7× 149 0.8× 323 1.8× 89 2.5k
Ariadna Quattoni Spain 12 1.8k 0.8× 1.1k 1.1× 196 0.7× 178 1.0× 180 1.0× 29 2.6k
Haizhou Ai China 24 2.3k 1.0× 548 0.5× 189 0.7× 189 1.0× 135 0.8× 99 2.5k
Feng Zheng China 31 2.7k 1.2× 965 1.0× 247 0.9× 127 0.7× 524 3.0× 133 3.6k
Sen-ching S. Cheung United States 25 1.9k 0.8× 448 0.4× 241 0.9× 239 1.3× 134 0.8× 105 2.6k
Roland Memisevic Canada 22 2.0k 0.8× 1.5k 1.5× 138 0.5× 229 1.3× 246 1.4× 43 3.0k
Xiaoshuai Sun China 34 3.2k 1.4× 1.2k 1.2× 111 0.4× 135 0.7× 135 0.8× 163 3.7k
Gangshan Wu China 28 2.9k 1.2× 882 0.9× 266 1.0× 111 0.6× 223 1.3× 156 3.7k
Luigi Cinque Italy 26 1.3k 0.5× 571 0.6× 169 0.6× 112 0.6× 181 1.0× 159 2.3k
Yanghao Li China 17 2.5k 1.1× 1.2k 1.2× 188 0.7× 115 0.6× 508 2.9× 36 3.2k

Countries citing papers authored by Hamed Pirsiavash

Since Specialization
Citations

This map shows the geographic impact of Hamed Pirsiavash's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hamed Pirsiavash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamed Pirsiavash more than expected).

Fields of papers citing papers by Hamed Pirsiavash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamed Pirsiavash. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hamed Pirsiavash. The network helps show where Hamed Pirsiavash may publish in the future.

Co-authorship network of co-authors of Hamed Pirsiavash

This figure shows the co-authorship network connecting the top 25 collaborators of Hamed Pirsiavash. A scholar is included among the top collaborators of Hamed Pirsiavash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hamed Pirsiavash. Hamed Pirsiavash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Koohpayegani, Soroush Abbasi & Hamed Pirsiavash. (2024). SimA: Simple Softmax-free Attention for Vision Transformers. Maryland Shared Open Access Repository (USMAI Consortium). 2595–2605. 8 indexed citations
2.
Chin, Elizabeth L., et al.. (2023). Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment. Nutrients. 15(23). 4972–4972. 5 indexed citations
3.
Wu, Zihao, et al.. (2023). Is Multi-Task Learning an Upper Bound for Continual Learning?. 1–5. 4 indexed citations
4.
Kolouri, Soheil, et al.. (2023). Multi-Agent Lifelong Implicit Neural Learning. IEEE Signal Processing Letters. 30. 1812–1816. 2 indexed citations
6.
Zolfaghari, Mohammadreza, et al.. (2020). COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. Maryland Shared Open Access Repository (USMAI Consortium). 33. 22605–22618. 11 indexed citations
7.
Pirsiavash, Hamed, et al.. (2018). Towards Hiding Adversarial Examples from Network Interpretation. arXiv (Cornell University). 1 indexed citations
8.
Houmansadr, Amir, Hamed Pirsiavash, & Shahrokh Ghaemmaghami. (2018). ROBUST CONTENT-BASED VIDEO WATERMARKING EXPLOITING MOTION ENTROPY MASKING EFFECT. 252–259.
9.
Diba, Ali, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, & Luc Van Gool. (2017). Weakly Supervised Cascaded Convolutional Networks. Lirias (KU Leuven). 5131–5139. 193 indexed citations
10.
Vondrick, Carl, Hamed Pirsiavash, & Antonio Torralba. (2016). Anticipating Visual Representations from Unlabeled Video. 98–106. 270 indexed citations
11.
Mousavian, Arsalan, Hamed Pirsiavash, & Jana Košecká. (2016). Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks. Maryland Shared Open Access Repository (USMAI Consortium). 33 indexed citations
12.
Diba, Ali, Ali Mohammad Pazandeh, Hamed Pirsiavash, & Luc Van Gool. (2016). DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns. Lirias (KU Leuven). 3557–3565. 19 indexed citations
13.
Pirsiavash, Hamed & Deva Ramanan. (2014). Parsing Videos of Actions with Segmental Grammars. Maryland Shared Open Access Repository (USMAI Consortium). 612–619. 93 indexed citations
14.
Pirsiavash, Hamed & Deva Ramanan. (2012). Steerable part models. 3226–3233. 31 indexed citations
15.
Adcock, John, Matthew Cooper, Laurent Denoue, Hamed Pirsiavash, & Lawrence A. Rowe. (2010). TalkMiner. 1507–1508. 6 indexed citations
16.
Pirsiavash, Hamed, Deva Ramanan, & Charless C. Fowlkes. (2009). Bilinear classifiers for visual recognition. Maryland Shared Open Access Repository (USMAI Consortium). 22. 1482–1490. 98 indexed citations
17.
Negahdaripour, S., et al.. (2009). Opti-Acoustic Stereo Imaging: On System Calibration and 3-D Target Reconstruction. IEEE Transactions on Image Processing. 18(6). 1203–1214. 58 indexed citations
18.
Singh, Vivek K., et al.. (2009). Towards Environment-to-Environment (E2E) multimedia communication systems. Multimedia Tools and Applications. 44(3). 361–388. 3 indexed citations
19.
Negahdaripour, S., et al.. (2007). Opti-Acoustic Stereo Imaging, System Calibration and 3-D Reconstruction. Maryland Shared Open Access Repository (USMAI Consortium). 1–8. 18 indexed citations
20.
Mehran, Ramin, Hamed Pirsiavash, & Farbod Razzazi. (2005). A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents. 2. 56–56. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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