Kishore Konda
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Signal Processing top 10%
- Co-authors
- Roland MemisevicVincent MichalskiSamira Ebrahimi KahouChristopher PalPascal LamblinAaron CourvilleYann DauphinYoshua Bengio
- Topics
- Advanced Vision and Imaging (4 papers)Human Pose and Action Recognition (3 papers)Emotion and Mood Recognition (2 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionSignal Processing
- Journals
- Journal on Multimodal User InterfacesarXiv (Cornell University)Neural Information Processing Systems
In The Last Decade
Kishore Konda
9 papers receiving 653 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 440
- Experimental and Cognitive Psychology 342
- Artificial Intelligence 159
- Aerospace Engineering 98
- Signal Processing 90
Countries citing papers authored by Kishore Konda
This map shows the geographic impact of Kishore Konda'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 Kishore Konda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kishore Konda more than expected).
Fields of papers citing papers by Kishore Konda
This network shows the impact of papers produced by Kishore Konda. 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 Kishore Konda. The network helps show where Kishore Konda may publish in the future.
Co-authorship network of co-authors of Kishore Konda
This figure shows the co-authorship network connecting the top 25 collaborators of Kishore Konda. A scholar is included among the top collaborators of Kishore Konda 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 Kishore Konda. Kishore Konda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Real-time activity recognition via deep learning of motion features | 1 |
| 2 | 103 | |
| 3 | 263 | |
| 4 | 250 | |
| 5 | Modeling Deep Temporal Dependencies with Recurrent Grammar Cells | 39 |
| 6 | Learning to encode motion using spatio-temporal synchrony | 6 |
| 7 | 1 | |
| 8 | The role of spatio-temporal synchrony in the encoding of motion | 1 |
| 9 | 21 |
About Kishore Konda
Kishore Konda is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 9 papers that have together received 685 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Human Pose and Action Recognition (3 papers) and Emotion and Mood Recognition (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (342 citations), Computer Vision and Pattern Recognition (440 citations) and Signal Processing (90 citations). Kishore Konda has collaborated with scholars based in Germany and Canada. Frequent co-authors include Roland Memisevic, Vincent Michalski, Samira Ebrahimi Kahou, Christopher Pal, Pascal Lamblin, Aaron Courville, Yann Dauphin, Yoshua Bengio, Pascal Vincent and Xavier Bouthillier. Their work appears in journals such as Journal on Multimodal User Interfaces, arXiv (Cornell University) and Neural Information Processing Systems.
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.