Sanjeev Satheesh
Impact in
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Artificial Intelligence top 0.05%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
Papers in
-
- Advanced Image and Video Retrieval Techniques 5
- Image Retrieval and Classification Techniques 4
- Video Analysis and Summarization 2
-
- Natural Language Processing Techniques 2
- Topic Modeling 2
- Speech Recognition and Synthesis 2
- Co-authors
- Jia Deng (2 shared papers)Alexander C. Berg (2 shared papers)Li Fei-Fei (2 shared papers)Olga Russakovsky (2 shared papers)Aditya Khosla (2 shared papers)Jonathan Krause (2 shared papers)Zhiheng Huang (2 shared papers)Hao Su (2 shared papers)
- Journals
- Singapore Journal of Tropical Geography (1 paper)International Journal of Computer Vision (1 paper)AIP conference proceedings (1 paper)International Conference on Machine Learning (2 papers)International Journal of Current Microbiology and Applied Sciences (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Sanjeev Satheesh
13 papers receiving 23.6k citations
Sanjeev Satheesh's Hit Papers
Peers
Comparison fields: 5 of 219
- Computer Vision and Pattern Recognition 15.0k
- Artificial Intelligence 9.2k
- Media Technology 1.9k
- Health Informatics 206
- Radiology, Nuclear Medicine and Imaging 2.3k
Countries citing papers authored by Sanjeev Satheesh
This map shows the geographic impact of Sanjeev Satheesh'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 Sanjeev Satheesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Satheesh more than expected).
Fields of papers citing papers by Sanjeev Satheesh
This network shows the impact of papers produced by Sanjeev Satheesh. 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 Sanjeev Satheesh. The network helps show where Sanjeev Satheesh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjeev Satheesh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ImageNet Large Scale Visual Recognition Challenge Hit paper breakdown → | 2015 | 24111 |
| 2 | 2011 | 236 | |
| 3 | Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition | 2011 | 100 |
| 4 | Persistent RNNs: stashing recurrent weights on-chip | 2016 | 36 |
| 5 | 2011 | 23 | |
| 6 | Gram-CTC: automatic unit selection and target decomposition for sequence labelling | 2017 | 18 |
| 7 | Topic compositional neural language model | 2018 | 16 |
| 8 | 2010 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2013 | 5 | |
| 11 | 2009 | 5 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2025 | 0 | |
| 15 | Productivity and Quality Improvement in Telecom Industry | 2018 | 0 |
About Sanjeev Satheesh
Sanjeev Satheesh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Sociology and Political Science and Computer Networks and Communications, having authored 15 papers that have together received 24.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Music and Audio Processing (3 papers), Multimedia Communication and Technology (2 papers), Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Speech Recognition and Synthesis (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (15.0k citations), Artificial Intelligence (9.2k citations), Media Technology (1.9k citations), Health Informatics (206 citations) and Radiology, Nuclear Medicine and Imaging (2.3k citations). Sanjeev Satheesh has collaborated with scholars based in United States, India and China. Frequent co-authors include Jia Deng, Alexander C. Berg, Li Fei-Fei, Olga Russakovsky, Aditya Khosla, Jonathan Krause, Zhiheng Huang, Hao Su, Andrej Karpathy and Michael S. Bernstein. Their work appears in journals such as Singapore Journal of Tropical Geography, International Journal of Computer Vision, AIP conference proceedings, International Conference on Machine Learning and International Journal of Current Microbiology and Applied Sciences.
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.