Subarna Tripathi

952 total citations
21 papers, 310 citations indexed

About

Subarna Tripathi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Subarna Tripathi has authored 21 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Subarna Tripathi's work include Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (5 papers) and Video Analysis and Summarization (5 papers). Subarna Tripathi is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (5 papers) and Video Analysis and Summarization (5 papers). Subarna Tripathi collaborates with scholars based in United States, India and United Kingdom. Subarna Tripathi's co-authors include Truong Q. Nguyen, Byeongkeun Kang, Xiang Zhang, Zhuowen Tu, Brian Guenter, Shaowei Liu, Xiaolong Wang, Kyle Min, Tanaya Guha and Kien Nguyen and has published in prestigious journals such as IEEE Access, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Warwick Research Archive Portal (University of Warwick).

In The Last Decade

Subarna Tripathi

19 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subarna Tripathi United States 10 234 96 75 47 35 21 310
G. K. Kharate India 9 134 0.6× 104 1.1× 54 0.7× 45 1.0× 28 0.8× 44 267
Nam Le Switzerland 4 237 1.0× 182 1.9× 91 1.2× 42 0.9× 110 3.1× 6 360
Farhad Dadgostar New Zealand 9 160 0.7× 95 1.0× 83 1.1× 55 1.2× 14 0.4× 25 307
Ram Kumar Karsh India 11 249 1.1× 153 1.6× 27 0.4× 59 1.3× 84 2.4× 39 413
Charul Bhatnagar India 10 228 1.0× 62 0.6× 73 1.0× 38 0.8× 39 1.1× 39 315
Pradyumna Narayana United States 9 165 0.7× 136 1.4× 84 1.1× 27 0.6× 60 1.7× 18 257
Lionel Pigou Belgium 3 256 1.1× 226 2.4× 73 1.0× 67 1.4× 133 3.8× 3 379
Javed Imran India 8 293 1.3× 86 0.9× 175 2.3× 22 0.5× 110 3.1× 12 366
Bong-Kee Sin South Korea 9 266 1.1× 156 1.6× 90 1.2× 20 0.4× 73 2.1× 28 392
Byeongkeun Kang South Korea 10 186 0.8× 99 1.0× 24 0.3× 47 1.0× 43 1.2× 20 265

Countries citing papers authored by Subarna Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Subarna Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subarna Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Subarna Tripathi. A scholar is included among the top collaborators of Subarna Tripathi 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 Subarna Tripathi. Subarna Tripathi 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.
Furnari, Antonino, et al.. (2024). Action Scene Graphs for Long-Form Understanding of Egocentric Videos. 18622–18632. 1 indexed citations
3.
Tripathi, Subarna, et al.. (2024). VideoSAGE: Video Summarization with Graph Representation Learning. 2527–2534. 3 indexed citations
4.
Mostafa, Hesham, et al.. (2023). Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5119–5128. 9 indexed citations
5.
Li, Yi, Kyle Min, Subarna Tripathi, & Nuno Vasconcelos. (2023). SViTT: Temporal Learning of Sparse Video-Text Transformers. 18919–18929. 10 indexed citations
6.
Min, Kyle, et al.. (2023). Unbiased Scene Graph Generation in Videos. 22803–22813. 17 indexed citations
7.
Nguyen, Kien, et al.. (2022). In defense of scene graphs for image captioning \n. Warwick Research Archive Portal (University of Warwick). 37 indexed citations
8.
Zhang, Xiang, et al.. (2022). Text Spotting Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9509–9518. 56 indexed citations
9.
Liu, Shaowei, et al.. (2022). Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3272–3282. 35 indexed citations
10.
Tripathi, Subarna, et al.. (2019). Compact Scene Graphs for Layout Composition and Patch Retrieval. 676–683. 6 indexed citations
11.
Tripathi, Subarna, et al.. (2019). Heuristics for Image Generation from Scene Graphs. 3 indexed citations
12.
Tripathi, Subarna & Brian Guenter. (2017). A Statistical Approach to Continuous Self-Calibrating Eye Gaze Tracking for Head-Mounted Virtual Reality Systems. 862–870. 22 indexed citations
13.
Kang, Byeongkeun, et al.. (2017). Low-complexity object detection with deep convolutional neural network for embedded systems. 60–60. 11 indexed citations
14.
Tripathi, Subarna, et al.. (2016). Detecting temporally consistent objects in videos through object class label propagation. 1–9. 10 indexed citations
15.
Kang, Byeongkeun, Subarna Tripathi, & Truong Q. Nguyen. (2015). Real-time sign language fingerspelling recognition using convolutional neural networks from depth map. 136–140. 76 indexed citations
16.
Tripathi, Subarna, Youngbae Hwang, Serge Belongie, & Truong Thao Nguyen. (2014). Improving streaming video segmentation with early and mid-level visual processing. 1. 477–484. 4 indexed citations
17.
Tripathi, Subarna, Santanu Chaudhury, & Sumantra Dutta Roy. (2009). Online Improved Eigen Tracking. 278–281. 2 indexed citations
18.
Chaudhury, Santanu, Subarna Tripathi, & Sumantra Dutta Roy. (2008). Parametric video compression using appearance space. Proceedings - International Conference on Pattern Recognition. 1–4.
19.
20.
Tripathi, Subarna, et al.. (2007). Pre-Coded Video Transcoding into H.264 with Arbitrary Resolution Change. 356–359. 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.

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