Vineet Gandhi

699 total citations
37 papers, 284 citations indexed

About

Vineet Gandhi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Vineet Gandhi has authored 37 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Vineet Gandhi's work include Video Analysis and Summarization (6 papers), Music and Audio Processing (6 papers) and Advanced Vision and Imaging (6 papers). Vineet Gandhi is often cited by papers focused on Video Analysis and Summarization (6 papers), Music and Audio Processing (6 papers) and Advanced Vision and Imaging (6 papers). Vineet Gandhi collaborates with scholars based in India, United States and France. Vineet Gandhi's co-authors include Ramanathan Subramanian, Rahul Sharma, C. V. Jawahar, Rémi Ronfard, Samyak Jain, P. J. Narayanan, Kanishk Jain, Visesh Chari, K. Madhava Krishna and Michael Gleicher and has published in prestigious journals such as Computer Graphics Forum, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Signal Image and Video Processing.

In The Last Decade

Vineet Gandhi

33 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vineet Gandhi India 10 229 54 24 20 15 37 284
Sarina Mansor Malaysia 10 130 0.6× 103 1.9× 37 1.5× 20 1.0× 15 1.0× 55 296
T. Mita Japan 4 258 1.1× 30 0.6× 35 1.5× 8 0.4× 33 2.2× 5 288
Graciela Ramírez-Alonso Mexico 9 126 0.6× 80 1.5× 17 0.7× 40 2.0× 27 1.8× 39 269
Ce Ju Singapore 6 83 0.4× 109 2.0× 28 1.2× 10 0.5× 4 0.3× 8 247
Yinglin Zheng China 7 311 1.4× 125 2.3× 35 1.5× 12 0.6× 11 0.7× 14 373
Farkhod Akhmedov South Korea 8 87 0.4× 44 0.8× 26 1.1× 6 0.3× 12 0.8× 14 260
Amir Tamrakar United States 9 254 1.1× 105 1.9× 29 1.2× 6 0.3× 14 0.9× 22 343
Alicja Wieczorkowska Poland 9 71 0.3× 45 0.8× 107 4.5× 10 0.5× 6 0.4× 26 208
Fazliddin Makhmudov South Korea 8 93 0.4× 61 1.1× 25 1.0× 5 0.3× 4 0.3× 15 256
Dongliang Zhou China 9 152 0.7× 60 1.1× 18 0.8× 3 0.1× 11 0.7× 17 243

Countries citing papers authored by Vineet Gandhi

Since Specialization
Citations

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

Fields of papers citing papers by Vineet Gandhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vineet Gandhi

This figure shows the co-authorship network connecting the top 25 collaborators of Vineet Gandhi. A scholar is included among the top collaborators of Vineet Gandhi 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 Vineet Gandhi. Vineet Gandhi 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
3.
Shah, Neil, Shirish Karande, & Vineet Gandhi. (2025). Advancing NAM-to-Speech Conversion with Novel Methods and the MultiNAM Dataset. 1–5.
4.
Subramanian, Ramanathan, et al.. (2024). StethoSpeech: Speech Generation Through a Clinical Stethoscope Attached to the Skin. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(3). 1–21. 3 indexed citations
5.
Shah, Neil, Shirish Karande, & Vineet Gandhi. (2024). Towards Improving NAM-to-Speech Synthesis Intelligibility using Self-Supervised Speech Models. 2470–2474. 2 indexed citations
6.
Sundar, Krishna M., Shubham Toshniwal, Makarand Tapaswi, & Vineet Gandhi. (2024). Major Entity Identification: A Generalizable Alternative to Coreference Resolution. 11679–11695.
7.
Jain, Kanishk, et al.. (2023). Instance-Level Semantic Maps for Vision Language Navigation. Hasan Kalyoncu University Institutional Repository (Hasan Kalyoncu University). 2 indexed citations
8.
Shah, Neil, et al.. (2023). RobustL2S: Speaker-Specific Lip-to-Speech Synthesis exploiting Self-Supervised Representations. 1492–1499. 1 indexed citations
9.
Gandhi, Vineet, et al.. (2022). Salient Face Prediction without Bells and Whistles. 29. 1–8. 1 indexed citations
10.
Gandhi, Vineet, et al.. (2022). Comprehensive Multi-Modal Interactions for Referring Image Segmentation. Findings of the Association for Computational Linguistics: ACL 2022. 3427–3435. 8 indexed citations
11.
Gandhi, Vineet, et al.. (2022). Does Audio help in deep Audio-Visual Saliency prediction models?. 48–56. 1 indexed citations
12.
Jain, Samyak, et al.. (2021). ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3520–3527. 51 indexed citations
13.
Prabhu, Ameya, et al.. (2021). No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks. arXiv (Cornell University). 1 indexed citations
14.
Gandhi, Vineet, et al.. (2020). TextureToMTF: predicting spatial frequency response in the wild. Signal Image and Video Processing. 14(6). 1163–1170. 1 indexed citations
15.
16.
Gandhi, Vineet, et al.. (2019). Talk to the Vehicle: Language Conditioned Autonomous Navigation of Self Driving Cars. 5284–5290. 14 indexed citations
17.
Gandhi, Vineet, et al.. (2018). An Iterative Approach for Shadow Removal in Document Images. 1892–1896. 14 indexed citations
18.
Gandhi, Vineet, et al.. (2017). Small obstacle detection using stereo vision for autonomous ground vehicle. 1–6. 3 indexed citations
19.
Gandhi, Vineet, et al.. (2017). Zooming On All Actors: Automatic Focus+Context Split Screen Video Generation. Computer Graphics Forum. 36(2). 455–465. 7 indexed citations
20.
Gandhi, Vineet, et al.. (2016). Document blur detection using edge profile mining. 1–7. 4 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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