Achal Dave
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Human Pose and Action Recognition
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- Interactive and Immersive Displays
Papers in
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- Human Pose and Action Recognition 3
- Multimodal Machine Learning Applications 2
- Video Surveillance and Tracking Methods 2
- Generative Adversarial Networks and Image Synthesis 2
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- Domain Adaptation and Few-Shot Learning 2
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Deva Ramanan (2 shared papers)Bastian Leibe (2 shared papers)Jonathon Luiten (2 shared papers)Laura Leal-Taixé (1 shared paper)Björn Hartmann (1 shared paper)Aljoša Ošep (1 shared paper)Edward A. Lee (1 shared paper)Yang Li (1 shared paper)
- Journals
- npj Digital Medicine (1 paper)Wireless Personal Communications (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesGermanyUganda
In The Last Decade
Achal Dave
13 papers receiving 101 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 68
- Human-Computer Interaction 13
- Health Informatics 2
- Artificial Intelligence 35
- Instrumentation 3
Countries citing papers authored by Achal Dave
This map shows the geographic impact of Achal Dave'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 Achal Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Achal Dave more than expected).
Fields of papers citing papers by Achal Dave
This network shows the impact of papers produced by Achal Dave. 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 Achal Dave. The network helps show where Achal Dave may publish in the future.
Co-authors
The 25 scholars most cited alongside Achal Dave, 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 | 2022 | 27 | |
| 2 | 2023 | 22 | |
| 3 | 2014 | 18 | |
| 4 | Measuring Robustness to Natural Distribution Shifts in Image Classification | 2020 | 11 |
| 5 | 2024 | 10 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 3 | |
| 10 | When Robustness Doesn’t Promote Robustness: Synthetic vs. Natural Distribution Shifts on ImageNet | 2019 | 2 |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 |
About Achal Dave
Achal Dave is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Surgery, Automotive Engineering and Computational Mechanics, having authored 13 papers that have together received 109 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Video Surveillance and Tracking Methods (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Anomaly Detection Techniques and Applications (2 papers), Gaze Tracking and Assistive Technology (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (68 citations), Human-Computer Interaction (13 citations), Health Informatics (2 citations), Artificial Intelligence (35 citations) and Instrumentation (3 citations). Achal Dave has collaborated with scholars based in United States, Germany and Uganda. Frequent co-authors include Deva Ramanan, Bastian Leibe, Jonathon Luiten, Laura Leal-Taixé, Björn Hartmann, Aljoša Ošep, Edward A. Lee, Yang Li, Paul Voigtlaender and Pavel Tokmakov. Their work appears in journals such as npj Digital Medicine, Wireless Personal Communications, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 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.