Avinash Ravichandran

2.4k total citations · 2 hit papers
18 papers, 1.1k citations indexed

About

Avinash Ravichandran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Avinash Ravichandran has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Avinash Ravichandran's work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Human Pose and Action Recognition (4 papers). Avinash Ravichandran is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Human Pose and Action Recognition (4 papers). Avinash Ravichandran collaborates with scholars based in United States, India and United Kingdom. Avinash Ravichandran's co-authors include Renè Vidal, Rizwan Chaudhry, Gregory D. Hager, Paolo Favaro, Stefano Soatto, René Víctor Valqui Vidal, Dongqing Zhang, Jongheon Jeong, Onkar Dabeer and Taewan Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Networks and Clinical Epigenetics.

In The Last Decade

Avinash Ravichandran

17 papers receiving 1.1k citations

Hit Papers

Histograms of oriented optical flow and Binet-Cauchy kern... 2009 2026 2014 2020 2009 2023 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. Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions
    2009 412 citations Rizwan Chaudhry, Avinash Ravichandran et al. 2009 IEEE Conference on Computer Vision and Pattern Recognition profile →
  2. WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
    2023 125 citations Jongheon Jeong, Taewan Kim et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Avinash Ravichandran United States 11 831 465 142 123 118 18 1.1k
Anoop Cherian United States 21 836 1.0× 425 0.9× 60 0.4× 75 0.6× 141 1.2× 68 1.2k
M.G. Strintzis Greece 16 573 0.7× 197 0.4× 98 0.7× 43 0.3× 131 1.1× 72 1.1k
Rohit Girdhar United States 13 794 1.0× 388 0.8× 149 1.0× 29 0.2× 70 0.6× 19 1.2k
Vojtěch Franc Czechia 15 378 0.5× 333 0.7× 65 0.5× 36 0.3× 204 1.7× 31 927
Guocan Feng China 19 886 1.1× 242 0.5× 46 0.3× 143 1.2× 54 0.5× 76 1.3k
Gaoyun An China 19 778 0.9× 276 0.6× 58 0.4× 72 0.6× 106 0.9× 115 956
Hakan Çevıkalp Türkiye 17 768 0.9× 327 0.7× 52 0.4× 150 1.2× 83 0.7× 65 1.1k
Tae-Hyun Oh South Korea 20 1.0k 1.2× 264 0.6× 240 1.7× 178 1.4× 67 0.6× 80 1.4k
Baoyuan Wang China 20 1.3k 1.6× 175 0.4× 103 0.7× 220 1.8× 52 0.4× 48 1.6k
Lin Qi China 12 459 0.6× 164 0.4× 31 0.2× 71 0.6× 111 0.9× 116 821

Countries citing papers authored by Avinash Ravichandran

Since Specialization
Citations

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

Fields of papers citing papers by Avinash Ravichandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avinash Ravichandran

This figure shows the co-authorship network connecting the top 25 collaborators of Avinash Ravichandran. A scholar is included among the top collaborators of Avinash Ravichandran 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 Avinash Ravichandran. Avinash Ravichandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Jeong, Jongheon, et al.. (2023). WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. 19606–19616. 125 indexed citations breakdown →
2.
Jain, Achin, Paolo Favaro, Yang Hao, et al.. (2023). A Meta-Learning Approach to Predicting Performance and Data Requirements. 3623–3632. 5 indexed citations
3.
Ravichandran, Avinash, et al.. (2023). Learning Expressive Prompting With Residuals for Vision Transformers. 3366–3377. 9 indexed citations
4.
Li, Hao, Alessandro Achille, Avinash Ravichandran, et al.. (2022). Task Adaptive Parameter Sharing for Multi-Task Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7551–7560. 36 indexed citations
5.
Gurumurthy, Swaminathan, Zhizhong Li, Avinash Ravichandran, et al.. (2022). Class-Incremental Learning with Strong Pre-trained Models. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9591–9600. 37 indexed citations
6.
Cai, Zhaowei, Avinash Ravichandran, Subhransu Maji, et al.. (2021). Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. 194–203. 63 indexed citations
7.
Liu, Xialei, Hao Yang, Avinash Ravichandran, Rahul Bhotika, & Stefano Soatto. (2020). Continual Universal Object Detection. arXiv (Cornell University). 1 indexed citations
8.
Deshpande, Sharvari, et al.. (2020). High-fat diet-induced and genetically inherited obesity differentially alters DNA methylation profile in the germline of adult male rats. Clinical Epigenetics. 12(1). 179–179. 22 indexed citations
9.
Ravichandran, Avinash, et al.. (2014). Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation. 2131–2138. 10 indexed citations
10.
Ravichandran, Avinash, Rizwan Chaudhry, & René Víctor Valqui Vidal. (2012). Categorizing Dynamic Textures Using a Bag of Dynamical Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(2). 342–353. 75 indexed citations
11.
Perrone, Daniele, Avinash Ravichandran, Renè Vidal, & Paolo Favaro. (2012). Image Priors for Image Deblurring with Uncertain Blur. 114.1–114.11. 6 indexed citations
12.
Favaro, Paolo, Renè Vidal, & Avinash Ravichandran. (2011). A closed form solution to robust subspace estimation and clustering. 1801–1807. 226 indexed citations
13.
Chaudhry, Rizwan, Avinash Ravichandran, Gregory D. Hager, & Renè Vidal. (2009). Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1932–1939. 412 indexed citations breakdown →
14.
Ravichandran, Avinash, Rizwan Chaudhry, & Renè Vidal. (2009). View-invariant dynamic texture recognition using a bag of dynamical systems. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1651–1657. 90 indexed citations
15.
Ravichandran, Avinash, Renè Vidal, & Henry R. Halperin. (2006). Segmenting a beating heart using polysegment and Spatial GPCA. 1990. 634–637. 4 indexed citations
16.
Yegnanarayana, B., R. Ramaseshan, & Avinash Ravichandran. (2002). An algorithm for thinning noisy images. International Conference on Acoustics, Speech, and Signal Processing. 2217–2220.
17.
Ravichandran, Avinash & B. Yegnanarayana. (1995). Studies on object recognition from degraded images using neural networks. Neural Networks. 8(3). 481–488. 17 indexed citations
18.
Ravichandran, Avinash & B. Yegnanarayana. (1991). A two-stage neural network for translation, rotation and size-invariant visual pattern recognition. 1. 2393–2396 vol.4. 3 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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