Samarth Sinha

502 total citations
11 papers, 85 citations indexed

About

Samarth Sinha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Samarth Sinha has authored 11 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Ocean Engineering. Recurrent topics in Samarth Sinha's work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Vision and Imaging (3 papers). Samarth Sinha is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Vision and Imaging (3 papers). Samarth Sinha collaborates with scholars based in Canada, United States and Germany. Samarth Sinha's co-authors include Animesh Garg, Homanga Bharadhwaj, Andrea Tagliasacchi, Francesco Locatello, David B. Lindell, Haoyu Xiong, Bernt Schiele, Peter Gehler, Igor Gilitschenski and Jason Zhang and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Samarth Sinha

10 papers receiving 82 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samarth Sinha Canada 6 53 29 21 13 11 11 85
Sungheon Park South Korea 6 117 2.2× 28 1.0× 5 0.2× 10 0.8× 13 1.2× 10 139
Arunkumar Byravan United States 5 71 1.3× 38 1.3× 45 2.1× 28 2.2× 7 0.6× 6 105
Fuwen Tan United States 7 173 3.3× 47 1.6× 14 0.7× 19 1.5× 16 1.5× 11 201
Omer Bar-Tal Israel 3 90 1.7× 14 0.5× 15 0.7× 3 0.2× 23 2.1× 6 119
Tomáš Jakab United Kingdom 6 95 1.8× 11 0.4× 15 0.7× 16 1.2× 31 2.8× 9 122
Dario Pavllo Switzerland 6 67 1.3× 16 0.6× 32 1.5× 3 0.2× 23 2.1× 10 91
Mel Vecerík United Kingdom 4 54 1.0× 28 1.0× 49 2.3× 17 1.3× 4 0.4× 4 110
Hsiao-Yu Fish Tung United States 6 73 1.4× 32 1.1× 28 1.3× 4 0.3× 4 0.4× 16 128
Vighnesh Birodkar United States 4 141 2.7× 60 2.1× 7 0.3× 6 0.5× 6 0.5× 4 168
Wendong Zhang China 6 128 2.4× 26 0.9× 11 0.5× 3 0.2× 11 1.0× 16 147

Countries citing papers authored by Samarth Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Samarth Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samarth Sinha

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

All Works

11 of 11 papers shown
1.
Sinha, Samarth, Роман Шаповалов, Jeremy Reizenstein, et al.. (2023). Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. 4881–4891. 7 indexed citations
2.
Sinha, Samarth, Peter Gehler, Francesco Locatello, & Bernt Schiele. (2023). TeST: Test-time Self-Training under Distribution Shift. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2758–2768. 14 indexed citations
3.
Sinha, Samarth, Jason Zhang, Andrea Tagliasacchi, Igor Gilitschenski, & David B. Lindell. (2023). SparsePose: Sparse-View Camera Pose Regression and Refinement. 21349–21359. 19 indexed citations
4.
Novotný, David, Ignacio Rocco, Samarth Sinha, et al.. (2022). KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5585–5594. 6 indexed citations
5.
Sinha, Samarth, Karsten Roth, Anirudh Goyal, et al.. (2022). Uniform Priors for Data-Efficient Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4016–4027. 1 indexed citations
6.
Chen, John, Samarth Sinha, & Anastasios Kyrillidis. (2021). ImCLR: Implicit Contrastive Learning for Image Classification. arXiv (Cornell University). 3 indexed citations
7.
Xiong, Haoyu, et al.. (2021). Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 7827–7834. 21 indexed citations
8.
Sinha, Samarth, Homanga Bharadhwaj, Anirudh Goyal, et al.. (2021). DIBS: Diversity Inducing Information Bottleneck in Model Ensembles. Proceedings of the AAAI Conference on Artificial Intelligence. 35(11). 9666–9674. 8 indexed citations
9.
Sinha, Samarth, Anirudh Goyal, Colin Raffel, & Augustus Odena. (2020). Top-K Training of GANs: Improving Generators by Making Critics Less Critical. arXiv (Cornell University). 1 indexed citations
10.
Ebrahimi, Sayna, et al.. (2019). Generalized Zero-Shot Learning via Aligned Variational Autoencoders. Computer Vision and Pattern Recognition. 54–57. 4 indexed citations
11.
Ebrahimi, Sayna, et al.. (2019). Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning. 1 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 Sungheon Park Breakdown of academic impact, for papers by Arunkumar Byravan Breakdown of academic impact, for papers by Fuwen Tan Breakdown of academic impact, for papers by Omer Bar-Tal Breakdown of academic impact, for papers by Tomáš Jakab Breakdown of academic impact, for papers by Dario Pavllo Breakdown of academic impact, for papers by Mel Vecerík Breakdown of academic impact, for papers by Hsiao-Yu Fish Tung Breakdown of academic impact, for papers by Vighnesh Birodkar Breakdown of academic impact, for papers by Wendong Zhang
Rankless by CCL
2026