Robinson Piramuthu

2.5k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Robinson Piramuthu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Robinson Piramuthu has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Robinson Piramuthu's work include Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (6 papers) and Multimodal Machine Learning Applications (6 papers). Robinson Piramuthu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (6 papers) and Multimodal Machine Learning Applications (6 papers). Robinson Piramuthu collaborates with scholars based in United States, Ireland and Hong Kong. Robinson Piramuthu's co-authors include Di Wei, Vignesh Jagadeesh, Zhicheng Yan, Dennis DeCoste, Hao Zhang, Yizhou Yu, Qiaosong Wang, Anurag Bhardwaj, Neel Sundaresan and Ming–Hsuan Yang and has published in prestigious journals such as IEEE Transactions on Information Theory, Computer Vision and Image Understanding and The HKU Scholars Hub (University of Hong Kong).

In The Last Decade

Robinson Piramuthu

26 papers receiving 1.2k citations

Hit Papers

HD-CNN: Hierarchical Deep Convolutional Neural Networks f... 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition
    2015 482 citations Zhicheng Yan, Hao Zhang et al. The HKU Scholars Hub (University of Hong Kong) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robinson Piramuthu United States 12 907 424 115 86 65 26 1.3k
Zunlei Feng China 14 762 0.8× 281 0.7× 84 0.7× 65 0.8× 67 1.0× 83 1.3k
Joseph J. Lim United States 17 1.4k 1.5× 632 1.5× 115 1.0× 52 0.6× 100 1.5× 34 1.8k
Keze Wang China 16 874 1.0× 543 1.3× 110 1.0× 75 0.9× 31 0.5× 38 1.3k
Junho Yim South Korea 7 1.4k 1.5× 797 1.9× 110 1.0× 72 0.8× 32 0.5× 12 1.9k
Ivan Krasin United States 5 1.2k 1.4× 808 1.9× 98 0.9× 91 1.1× 27 0.4× 5 1.8k
Jonathan Brandt United States 17 1.9k 2.1× 601 1.4× 111 1.0× 103 1.2× 48 0.7× 32 2.4k
Khoa Luu United States 19 1.1k 1.3× 412 1.0× 64 0.6× 146 1.7× 42 0.6× 94 1.7k
Konstantinos Bousmalis United Kingdom 9 1.0k 1.1× 783 1.8× 126 1.1× 142 1.7× 53 0.8× 16 1.5k
Shiming Ge China 25 1.5k 1.6× 483 1.1× 116 1.0× 94 1.1× 29 0.4× 87 1.9k

Countries citing papers authored by Robinson Piramuthu

Since Specialization
Citations

This map shows the geographic impact of Robinson Piramuthu'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 Robinson Piramuthu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robinson Piramuthu more than expected).

Fields of papers citing papers by Robinson Piramuthu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robinson Piramuthu. 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 Robinson Piramuthu. The network helps show where Robinson Piramuthu may publish in the future.

Co-authorship network of co-authors of Robinson Piramuthu

This figure shows the co-authorship network connecting the top 25 collaborators of Robinson Piramuthu. A scholar is included among the top collaborators of Robinson Piramuthu 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 Robinson Piramuthu. Robinson Piramuthu 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.
2.
He, Zhanpeng, Sandip Pravin Patel, Gunnar A. Sigurdsson, et al.. (2024). Decision Making for Human-in-the-loop Robotic Agents via Uncertainty-Aware Reinforcement Learning. 7939–7945. 4 indexed citations
3.
Sigurdsson, Gunnar A., et al.. (2024). Zero-Shot Controllable Image-to-Video Animation via Motion Decomposition. 3332–3341. 1 indexed citations
4.
Sigurdsson, Gunnar A., Jesse Thomason, Gaurav S. Sukhatme, & Robinson Piramuthu. (2023). RREx-BoT: Remote Referring Expressions with a Bag of Tricks. 5203–5210. 6 indexed citations
5.
Shrivastava, Ayush, Karthik Gopalakrishnan, Yang Liu, et al.. (2022). VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator. Findings of the Association for Computational Linguistics: ACL 2022. 1984–1994. 6 indexed citations
6.
Chen, Yunchun, Marco Piccirilli, Robinson Piramuthu, & Ming–Hsuan Yang. (2021). Self-attentive 3D human pose and shape estimation from videos. Computer Vision and Image Understanding. 213. 103305–103305. 7 indexed citations
7.
Chang, Yu-Ting, Qiaosong Wang, Wei-Chih Hung, et al.. (2020). Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization. 1 indexed citations
8.
Chang, Yu-Ting, Qiaosong Wang, Wei-Chih Hung, et al.. (2020). Weakly-Supervised Semantic Segmentation via Sub-Category Exploration. 8988–8997. 214 indexed citations
9.
Plummer, Bryan A., M. Hadi Kiapour, Shuai Zheng, & Robinson Piramuthu. (2019). Give Me a Hint! Navigating Image Databases Using Human-in-the-Loop Feedback. 2048–2057. 7 indexed citations
10.
Lin, Kevin, Fan Yang, Qiaosong Wang, & Robinson Piramuthu. (2019). Adversarial Learning for Fine-Grained Image Search. 490–495. 4 indexed citations
11.
Zheng, Shuai, Fan Yang, M. Hadi Kiapour, & Robinson Piramuthu. (2018). ModaNet. 1670–1678. 63 indexed citations
12.
Wang, Qiaosong, Wen Zheng, & Robinson Piramuthu. (2016). GraB: Visual Saliency via Novel Graph Model and Background Priors. 535–543. 80 indexed citations
13.
Wang, Qiaosong, et al.. (2016). Im2Fit: Fast 3D Model Fitting and Anthropometrics using Single Consumer Depth Camera and Synthetic Data. Electronic Imaging. 28(21). 3DIPM–045.1. 3 indexed citations
14.
Yan, Zhicheng, Hao Zhang, Robinson Piramuthu, et al.. (2015). HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition. The HKU Scholars Hub (University of Hong Kong). 2740–2748. 482 indexed citations breakdown →
15.
Kiapour, M. Hadi, Di Wei, Vignesh Jagadeesh, & Robinson Piramuthu. (2015). Mine the fine: Fine-grained fragment discovery. 3555–3559. 1 indexed citations
16.
Pandey, Rohit, Di Wei, Vignesh Jagadeesh, Robinson Piramuthu, & Anurag Bhardwaj. (2014). Cascaded sparse color-localized matching for logo retrieval. 2. 2207–2211. 1 indexed citations
17.
Jagadeesh, Vignesh, et al.. (2014). Im2depth: Scalable exemplar based depth transfer. 145–152. 13 indexed citations
18.
Wei, Di, Neel Sundaresan, Robinson Piramuthu, & Anurag Bhardwaj. (2014). Is a picture really worth a thousand words?. 633–642. 22 indexed citations
19.
Wei, Di, Catherine Wah, Anurag Bhardwaj, Robinson Piramuthu, & Neel Sundaresan. (2013). Style Finder: Fine-Grained Clothing Style Detection and Retrieval. 89 indexed citations
20.
Hero, Alfred O., et al.. (1999). Minimax emission computed tomography using high-resolution anatomical side information and B-spline models. IEEE Transactions on Information Theory. 45(3). 920–938. 25 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zunlei Feng Breakdown of academic impact, for papers by Joseph J. Lim Breakdown of academic impact, for papers by Keze Wang Breakdown of academic impact, for papers by Junho Yim Breakdown of academic impact, for papers by Ivan Krasin Breakdown of academic impact, for papers by Jonathan Brandt Breakdown of academic impact, for papers by Khoa Luu Breakdown of academic impact, for papers by Konstantinos Bousmalis Breakdown of academic impact, for papers by Shiming Ge
Rankless by CCL
2026