Aditya Khosla
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Visual Attention and Saliency Detection
- Artificial Intelligence top 0.01%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
-
- Visual Attention and Saliency Detection 13
- Advanced Image and Video Retrieval Techniques 12
- Image Retrieval and Classification Techniques 7
- Advanced Neural Network Applications 5
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- Gaze Tracking and Assistive Technology 3
- Co-authors
- Antonio TorralbaLi Fei-FeiAude OlivaJonathan KrauseOlga RussakovskySanjeev SatheeshAndrej KarpathyHao Su
- Journals
- International Journal of Computer Vision (2 papers)Scientific Reports (1 paper)Cancer Research (1 paper)Journal of Vision (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- United StatesGermanyIreland
In The Last Decade
Aditya Khosla
33 papers receiving 38.6k citations
Hit Papers
Peers
Comparison fields: 5 of 224
- Computer Vision and Pattern Recognition 23.8k
- Artificial Intelligence 14.5k
- Health Informatics 457
- Media Technology 2.5k
- Geology 1.5k
Countries citing papers authored by Aditya Khosla
This map shows the geographic impact of Aditya Khosla'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 Aditya Khosla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Khosla more than expected).
Fields of papers citing papers by Aditya Khosla
This network shows the impact of papers produced by Aditya Khosla. 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 Aditya Khosla. The network helps show where Aditya Khosla may publish in the future.
Co-authors
The 25 scholars most cited alongside Aditya Khosla, 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 | 2025 | 0 | |
| 2 | 2022 | 36 | |
| 3 | 2017 | 53 | |
| 4 | Learning Deep Features for Discriminative Localization Hit paper breakdown → | 2016 | 6518 |
| 5 | 2016 | 117 | |
| 6 | Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence Hit paper breakdown → | 2016 | 427 |
| 7 | Eye Tracking for Everyone Hit paper breakdown → | 2016 | 535 |
| 8 | 3D ShapeNets: A deep representation for volumetric shapes Hit paper breakdown → | 2015 | 2728 |
| 9 | Object Detectors Emerge in Deep Scene CNNs | 2015 | 275 |
| 10 | Where are they looking | 2015 | 60 |
| 11 | ImageNet Large Scale Visual Recognition Challenge Hit paper breakdown → | 2015 | 23680 |
| 12 | 2015 | 74 | |
| 13 | 2015 | 5 | |
| 14 | 3D ShapeNets for 2.5D Object Recognition and Next-Best-View Prediction | 2014 | 52 |
| 15 | 2014 | 217 | |
| 16 | 2013 | 145 | |
| 17 | 2013 | 187 | |
| 18 | 2013 | 2 | |
| 19 | Memorability of Image Regions | 2012 | 75 |
| 20 | Multimodal Deep Learning Hit paper breakdown → | 2011 | 1422 |
About Aditya Khosla
Aditya Khosla is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Health Information Management, Cognitive Neuroscience and Signal Processing, having authored 34 papers that have together received 40.0k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (13 papers), Advanced Image and Video Retrieval Techniques (12 papers), Image Retrieval and Classification Techniques (7 papers), Advanced Neural Network Applications (5 papers), Face Recognition and Perception (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Gaze Tracking and Assistive Technology (3 papers) and Visual perception and processing mechanisms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (23.8k citations), Artificial Intelligence (14.5k citations), Health Informatics (457 citations), Media Technology (2.5k citations) and Geology (1.5k citations). Aditya Khosla has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Antonio Torralba, Li Fei-Fei, Aude Oliva, Jonathan Krause, Olga Russakovsky, Sanjeev Satheesh, Andrej Karpathy, Hao Su, Zhiheng Huang and Alexander C. Berg. Their work appears in journals such as International Journal of Computer Vision, Scientific Reports, Cancer Research, Journal of Vision and Journal of Hepatology.
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.