Tejas D. Kulkarni
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computational Mechanics top 10%
- Control and Systems Engineering top 10%
- Computer Graphics and Computer-Aided Design top 2%
- Co-authors
- Joshua B. TenenbaumPushmeet KohliKarthik NarasimhanArdavan SaeediWILLIAM F. WHITNEYJiajun WuHaibin HuangVikash K. Mansinghka
- Topics
- Advanced Vision and Imaging (4 papers)Reinforcement Learning in Robotics (4 papers)Computer Graphics and Visualization Techniques (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- Industrial & Engineering Chemistry ResearchCognitive SciencearXiv (Cornell University)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Tejas D. Kulkarni
11 papers receiving 850 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 454
- Artificial Intelligence 366
- Computational Mechanics 130
- Control and Systems Engineering 110
- Computer Graphics and Computer-Aided Design 109
Countries citing papers authored by Tejas D. Kulkarni
This map shows the geographic impact of Tejas D. Kulkarni'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 Tejas D. Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tejas D. Kulkarni more than expected).
Fields of papers citing papers by Tejas D. Kulkarni
This network shows the impact of papers produced by Tejas D. Kulkarni. 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 Tejas D. Kulkarni. The network helps show where Tejas D. Kulkarni may publish in the future.
Co-authorship network of co-authors of Tejas D. Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of Tejas D. Kulkarni. A scholar is included among the top collaborators of Tejas D. Kulkarni 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 Tejas D. Kulkarni. Tejas D. Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Unsupervised Learning of Object Keypoints for Perception and Control | 14 |
| 2 | 21 | |
| 3 | Self-Supervised Intrinsic Image Decomposition | 26 |
| 4 | 106 | |
| 5 | Hierarchical deep reinforcement learning: integrating temporal abstraction and intrinsic motivationbreakdown → | 318 |
| 6 | Learning to Perform Physics Experiments via Deep Reinforcement Learning. | 2 |
| 7 | Efficient analysis-by-synthesis in vision: A computational framework, behavioral tests, and modeling neuronal representations. | 12 |
| 8 | 47 | |
| 9 | Deep Convolutional Inverse Graphics Networkbreakdown → | 288 |
| 10 | 30 | |
| 11 | 21 |
About Tejas D. Kulkarni
Tejas D. Kulkarni is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 11 papers that have together received 885 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Reinforcement Learning in Robotics (4 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (109 citations), Computer Vision and Pattern Recognition (454 citations) and Artificial Intelligence (366 citations). Tejas D. Kulkarni has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Joshua B. Tenenbaum, Pushmeet Kohli, Karthik Narasimhan, Ardavan Saeedi, WILLIAM F. WHITNEY, Jiajun Wu, Haibin Huang, Vikash K. Mansinghka, Ilker Yildirim and Catalin Ionescu. Their work appears in journals such as Industrial & Engineering Chemistry Research, Cognitive Science and arXiv (Cornell University).
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.