Abhinav Shrivastava
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- Multimodal Machine Learning Applications 19
- Advanced Image and Video Retrieval Techniques 17
- Advanced Neural Network Applications 14
- Generative Adversarial Networks and Image Synthesis 13
- Human Pose and Action Recognition 11
- Advanced Vision and Imaging 9
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning 20
- Anomaly Detection Techniques and Applications 6
- Media Technology top 1%
- Health Informatics top 5%
- Signal Processing top 5%
- Co-authors
- Abhinav GuptaSaurabh SinghChen SunXiaolong WangXinlei ChenSer-Nam LimLarry S. DavisAlexei A. Efros
- Journals
- Nature Machine Intelligence (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Imaging (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Abhinav Shrivastava
67 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 2.1k
- Artificial Intelligence 1.3k
- Media Technology 272
- Health Informatics 35
- Signal Processing 145
Countries citing papers authored by Abhinav Shrivastava
This map shows the geographic impact of Abhinav Shrivastava'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 Abhinav Shrivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Shrivastava more than expected).
Fields of papers citing papers by Abhinav Shrivastava
This network shows the impact of papers produced by Abhinav Shrivastava. 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 Abhinav Shrivastava. The network helps show where Abhinav Shrivastava may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abhinav Shrivastava, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 20 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 1 | |
| 14 | 2019 | 8 | |
| 15 | Revisiting Unreasonable Effectiveness of Data in Deep Learning Erabreakdown → | 2017 | 1326 |
| 16 | A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detectionbreakdown → | 2017 | 425 |
| 17 | 2015 | 4 | |
| 18 | 2013 | 245 | |
| 19 | Exemplar-SVMs for visual object detection, label transfer and image retrieval | 2012 | 6 |
| 20 | 2011 | 18 |
About Abhinav Shrivastava
Abhinav Shrivastava is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 73 papers that have together received 3.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (20 papers), Multimodal Machine Learning Applications (19 papers), Advanced Image and Video Retrieval Techniques (17 papers), Advanced Neural Network Applications (14 papers), Generative Adversarial Networks and Image Synthesis (13 papers), Human Pose and Action Recognition (11 papers), Advanced Vision and Imaging (9 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Artificial Intelligence (1.3k citations) and Media Technology (272 citations). Abhinav Shrivastava has collaborated with scholars based in United States, India and China. Frequent co-authors include Abhinav Gupta, Saurabh Singh, Chen Sun, Xiaolong Wang, Xinlei Chen, Ser-Nam Lim, Larry S. Davis, Alexei A. Efros, Tomasz Malisiewicz and Zuxuan Wu. Their work appears in journals such as Nature Machine Intelligence, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Imaging, Frontiers in Computational Neuroscience and International Journal of Engineering and Advanced Technology.
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.