Rameswar Panda

4.4k total citations · 1 hit paper
56 papers, 2.1k citations indexed

About

Rameswar Panda is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Rameswar Panda has authored 56 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Rameswar Panda's work include Domain Adaptation and Few-Shot Learning (19 papers), Multimodal Machine Learning Applications (16 papers) and Human Pose and Action Recognition (14 papers). Rameswar Panda is often cited by papers focused on Domain Adaptation and Few-Shot Learning (19 papers), Multimodal Machine Learning Applications (16 papers) and Human Pose and Action Recognition (14 papers). Rameswar Panda collaborates with scholars based in United States, India and Germany. Rameswar Panda's co-authors include Chun-Fu Richard Chen, Quanfu Fan, Amit K. Roy–Chowdhury, Rogério Feris, Ananda S. Chowdhury, Leonid Karlinsky, Abir Das, Aude Oliva, Kate Saenko and Niluthpol Chowdhury Mithun and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Cybernetics and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Rameswar Panda

54 papers receiving 2.1k citations

Hit Papers

CrossViT: Cross-Attention Multi-Scale Vision Transformer ... 2021 2026 2022 2024 2021 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rameswar Panda United States 18 1.4k 663 245 216 177 56 2.1k
Quanfu Fan United States 18 1.3k 0.9× 587 0.9× 140 0.6× 251 1.2× 157 0.9× 48 2.1k
Matthieu Cord France 27 1.8k 1.3× 1.1k 1.7× 171 0.7× 234 1.1× 130 0.7× 102 2.6k
Abhinav Shrivastava United States 20 2.1k 1.5× 1.3k 2.0× 145 0.6× 272 1.3× 218 1.2× 73 3.2k
Shohreh Kasaei Iran 19 1.4k 1.0× 494 0.7× 202 0.8× 313 1.4× 202 1.1× 167 1.9k
Víctor Sánchez United Kingdom 22 1.2k 0.8× 531 0.8× 398 1.6× 92 0.4× 134 0.8× 128 1.8k
Seong Joon Oh Germany 14 2.6k 1.9× 1.8k 2.7× 211 0.9× 344 1.6× 284 1.6× 24 3.8k
Maxime Oquab France 4 1.2k 0.8× 790 1.2× 106 0.4× 208 1.0× 194 1.1× 9 2.1k
Zhong Ji China 29 1.8k 1.3× 1.2k 1.8× 381 1.6× 169 0.8× 242 1.4× 176 2.8k
Jian Shao China 19 1.8k 1.3× 828 1.2× 109 0.4× 211 1.0× 120 0.7× 66 2.5k

Countries citing papers authored by Rameswar Panda

Since Specialization
Citations

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

Fields of papers citing papers by Rameswar Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rameswar Panda

This figure shows the co-authorship network connecting the top 25 collaborators of Rameswar Panda. A scholar is included among the top collaborators of Rameswar Panda 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 Rameswar Panda. Rameswar Panda 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.
Pan, Bowen, Rameswar Panda, Rogério Feris, et al.. (2024). LangNav: Language as a Perceptual Representation for Navigation. 950–974. 5 indexed citations
2.
Sun, Ximeng, Rameswar Panda, Chun-Fu Richard Chen, et al.. (2024). Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. 946–956. 2 indexed citations
3.
He, Zexue, et al.. (2023). Synthetic Pre-Training Tasks for Neural Machine Translation. 8080–8098. 3 indexed citations
4.
Arbelle, Assaf, Sivan Harary, Eli Schwartz, et al.. (2023). Teaching Structured Vision & Language Concepts to Vision & Language Models. 2657–2668. 19 indexed citations
5.
Panda, Rameswar, et al.. (2023). Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4199–4208. 13 indexed citations
6.
Panda, Rameswar, et al.. (2023). Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 402–411. 3 indexed citations
7.
Lee, Joshua, Prasanna Sattigeri, Rameswar Panda, et al.. (2022). A Maximal Correlation Framework for Fair Machine Learning. Entropy. 24(4). 461–461. 2 indexed citations
8.
Li, Yi, Rameswar Panda, Yoon Kim, et al.. (2022). VALHALLA: Visual Hallucination for Machine Translation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5206–5216. 17 indexed citations
9.
Chen, Brian, Andrew Rouditchenko, Hilde Kuehne, et al.. (2021). Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7992–8001. 46 indexed citations
10.
Chen, Chun-Fu Richard, Rameswar Panda, Rogério Feris, et al.. (2021). Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. 6161–6171. 67 indexed citations
11.
Panda, Rameswar & Amit K. Roy–Chowdhury. (2021). Person Re-identification with Limited Supervision. 1 indexed citations
12.
Chen, Chun-Fu Richard, Quanfu Fan, & Rameswar Panda. (2021). CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 347–356. 1194 indexed citations breakdown →
13.
Sun, Ximeng, Rameswar Panda, Chun-Fu Richard Chen, et al.. (2021). Dynamic Network Quantization for Efficient Video Inference. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7355–7365. 31 indexed citations
14.
Wang, Xueping, Rameswar Panda, Min Liu, Yaonan Wang, & Amit K. Roy–Chowdhury. (2020). Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 31(10). 4020–4030. 33 indexed citations
15.
Sun, Ximeng, Rameswar Panda, Rogério Feris, & Kate Saenko. (2019). AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. arXiv (Cornell University). 9 indexed citations
16.
Panda, Rameswar, et al.. (2019). Factors Associated with Embryonic Mortality of Eggs of Vanaraja Breeder Chicken Reared on Deep Litter System. International Journal of Current Microbiology and Applied Sciences. 8(4). 525–532. 5 indexed citations
17.
Panda, Rameswar, et al.. (2018). Studies on growth parameters of black Bengal goats in coastal Sundarban of West Bengal. International Journal of Fauna and Biological Studies. 5(6). 1–4. 3 indexed citations
18.
Panda, Rameswar, et al.. (2017). Nyström Approximated Temporally Constrained Multisimilarity Spectral Clustering Approach for Movie Scene Detection. IEEE Transactions on Cybernetics. 48(3). 836–847. 17 indexed citations
19.
Panda, Rameswar, et al.. (2016). A study on rumination and resting behaviour of Osmanabadi kids housed in katcha housing system under different floor space.. 32. 63–66.
20.
Panda, Rameswar, et al.. (2013). Video key frame extraction through dynamic Delaunay clustering with a structural constraint. Journal of Visual Communication and Image Representation. 24(7). 1212–1227. 75 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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