Adarsh Kowdle

3.9k total citations · 2 hit papers
30 papers, 1.4k citations indexed

About

Adarsh Kowdle is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Adarsh Kowdle has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Adarsh Kowdle's work include Advanced Vision and Imaging (17 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robotics and Sensor-Based Localization (10 papers). Adarsh Kowdle is often cited by papers focused on Advanced Vision and Imaging (17 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robotics and Sensor-Based Localization (10 papers). Adarsh Kowdle collaborates with scholars based in United States, Japan and United Kingdom. Adarsh Kowdle's co-authors include Tsuhan Chen, Dhruv Batra, Devi Parikh, Jiebo Luo, Shahram Izadi, Vladimir Tankovich, Sean Fanello, Christoph Rhemann, Philip Davidson and David Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Adarsh Kowdle

29 papers receiving 1.4k citations

Hit Papers

iCoseg: Interactive co-segmentation with intelligent scri... 2010 2026 2015 2020 2010 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adarsh Kowdle United States 15 1.3k 282 236 223 144 30 1.4k
Christian Richardt United Kingdom 18 1.5k 1.2× 304 1.1× 134 0.6× 477 2.1× 169 1.2× 60 1.7k
Alex Colburn United States 15 1.4k 1.1× 110 0.4× 204 0.9× 267 1.2× 74 0.5× 20 1.7k
Thorsten Thormählen Germany 18 1.1k 0.8× 467 1.7× 191 0.8× 302 1.4× 94 0.7× 44 1.3k
Mathias Eitz Germany 12 1.4k 1.1× 370 1.3× 246 1.0× 215 1.0× 86 0.6× 13 1.5k
J. Oliensis United States 17 795 0.6× 210 0.7× 260 1.1× 223 1.0× 75 0.5× 44 943
Graham Fyffe United States 18 1.4k 1.1× 432 1.5× 71 0.3× 731 3.3× 129 0.9× 41 1.6k
Fang‐Lue Zhang China 17 887 0.7× 123 0.4× 61 0.3× 176 0.8× 119 0.8× 74 1.1k
Koki Nagano United States 19 1.4k 1.1× 531 1.9× 44 0.2× 503 2.3× 97 0.7× 45 1.7k
Stephen Lombardi United States 16 1.5k 1.2× 701 2.5× 67 0.3× 734 3.3× 111 0.8× 22 1.8k
Forrester Cole United States 21 1.2k 1.0× 712 2.5× 113 0.5× 707 3.2× 80 0.6× 39 1.7k

Countries citing papers authored by Adarsh Kowdle

Since Specialization
Citations

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

Fields of papers citing papers by Adarsh Kowdle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adarsh Kowdle

This figure shows the co-authorship network connecting the top 25 collaborators of Adarsh Kowdle. A scholar is included among the top collaborators of Adarsh Kowdle 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 Adarsh Kowdle. Adarsh Kowdle 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.
Du, Ruofei, Michelle Mohr Carney, Yinda Zhang, et al.. (2023). Rapsai: Accelerating Machine Learning Prototyping of Multimedia Applications through Visual Programming. 1–23. 18 indexed citations
2.
Du, Ruofei, et al.. (2023). Experiencing Visual Blocks for ML: Visual Prototyping of AI Pipelines. 1–3. 5 indexed citations
3.
4.
Du, Ruofei, Eric Turner, Jason Dourgarian, et al.. (2020). Experiencing Real-time 3D Interaction with Depth Maps for Mobile Augmented Reality in DepthLab. 108–110. 1 indexed citations
5.
Du, Ruofei, Eric Turner, Jason Dourgarian, et al.. (2020). DepthLab: Real-time 3D Interaction with Depth Maps for Mobile Augmented Reality. 829–843. 90 indexed citations
6.
Martin-Brualla, Ricardo, Rohit Pandey, Jonathan M. Taylor, et al.. (2018). LookinGood. ACM Transactions on Graphics. 37(6). 1–14. 66 indexed citations
7.
Tang, Danhang, Mingsong Dou, Peter Lincoln, et al.. (2018). Real-time compression and streaming of 4D performances. ACM Transactions on Graphics. 37(6). 1–11. 17 indexed citations
8.
Kowdle, Adarsh, Christoph Rhemann, Sean Fanello, et al.. (2018). The need 4 speed in real-time dense visual tracking. ACM Transactions on Graphics. 37(6). 1–14. 23 indexed citations
9.
Tankovich, Vladimir, Sean Fanello, Adarsh Kowdle, et al.. (2018). SOS: Stereo Matching in O(1) with Slanted Support Windows. 6782–6789. 8 indexed citations
10.
Fanello, Sean, Julien Valentin, Adarsh Kowdle, et al.. (2017). Low Compute and Fully Parallel Computer Vision with HashMatch. UCL Discovery (University College London). 3894–3903. 13 indexed citations
11.
Taylor, Jonathan M., Vladimir Tankovich, Danhang Tang, et al.. (2017). Articulated distance fields for ultra-fast tracking of hands interacting. ACM Transactions on Graphics. 36(6). 1–12. 58 indexed citations
12.
Dou, Mingsong, Sameh Khamis, Philip Davidson, et al.. (2016). Fusion4D. ACM Transactions on Graphics. 35(4). 1–13. 317 indexed citations breakdown →
13.
Kowdle, Adarsh, Yao‐Jen Chang, Andrew Gallagher, Dhruv Batra, & Tsuhan Chen. (2014). Putting the User in the Loop for Image-Based Modeling. International Journal of Computer Vision. 108(1-2). 30–48. 4 indexed citations
14.
Kowdle, Adarsh, Andrew Gallagher, & Tsuhan Chen. (2013). Revisiting Depth Layers from Occlusions. National University of Singapore. 2091–2098. 5 indexed citations
15.
Li, Congcong, Adarsh Kowdle, Ashutosh Saxena, & Tsuhan Chen. (2011). Toward Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(7). 1394–1408. 43 indexed citations
16.
Li, Congcong, Adarsh Kowdle, Ashutosh Saxena, & Tsuhan Chen. (2011). Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models. arXiv (Cornell University). 23. 1351–1359. 29 indexed citations
17.
Batra, Dhruv, Adarsh Kowdle, Devi Parikh, Jiebo Luo, & Tsuhan Chen. (2011). Interactive Co-segmentation of Objects in Image Collections. SpringerBriefs in computer science. 2 indexed citations
18.
Batra, Dhruv, Adarsh Kowdle, Devi Parikh, Jiebo Luo, & Tsuhan Chen. (2011). Interactively Co-segmentating Topically Related Images with Intelligent Scribble Guidance. International Journal of Computer Vision. 93(3). 273–292. 74 indexed citations
19.
Batra, Dhruv, Adarsh Kowdle, Devi Parikh, Jiebo Luo, & Tsuhan Chen. (2010). iCoseg: Interactive co-segmentation with intelligent scribble guidance. National University of Singapore. 3169–3176. 331 indexed citations breakdown →
20.
Batra, Dhruv, Devi Parikh, Adarsh Kowdle, Tsuhan Chen, & Jiebo Luo. (2009). Seed Image Selection in interactive cosegmentation. National University of Singapore. 2393–2396. 11 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

Rankless by CCL
2026