Vibhav Vineet
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- Advanced Image and Video Retrieval Techniques 14
- Advanced Neural Network Applications 10
- Advanced Vision and Imaging 10
- Human Pose and Action Recognition 7
- Multimodal Machine Learning Applications 6
- Visual Attention and Saliency Detection 4
- Sensory Systems top 2%
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization 11
- Geology top 5%
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- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- Ming‐Ming ChengPhilip H. S. TorrP. J. NarayananStuart GolodetzStephen L. HicksAmir SaffariSam HareJonathan Warrell
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)ACM Transactions on Graphics (2 papers)International Journal of Computer Vision (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Vibhav Vineet
41 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 2.0k
- Sensory Systems 161
- Aerospace Engineering 554
- Computer Graphics and Computer-Aided Design 70
- Geology 104
Countries citing papers authored by Vibhav Vineet
This map shows the geographic impact of Vibhav Vineet'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 Vibhav Vineet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vibhav Vineet more than expected).
Fields of papers citing papers by Vibhav Vineet
This network shows the impact of papers produced by Vibhav Vineet. 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 Vibhav Vineet. The network helps show where Vibhav Vineet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vibhav Vineet, 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 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 3 | |
| 10 | 2020 | 12 | |
| 11 | Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing. | 2019 | 2 |
| 12 | 2016 | 97 | |
| 13 | The Semantic Paintbrush | 2015 | 2 |
| 14 | SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips | 2015 | 57 |
| 15 | 2015 | 131 | |
| 16 | 2015 | 9 | |
| 17 | Distributed Non-convex ADMM-based inference in large-scale random fields. | 2014 | 14 |
| 18 | Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation | 2013 | 4 |
| 19 | Large Graph Algorithms for Massively Multithreaded Architectures | 2009 | 56 |
| 20 | 2009 | 73 |
About Vibhav Vineet
Vibhav Vineet is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Robotics and Sensor-Based Localization (11 papers), Advanced Neural Network Applications (10 papers), Advanced Vision and Imaging (10 papers), Human Pose and Action Recognition (7 papers), Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Visual Attention and Saliency Detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Sensory Systems (161 citations) and Aerospace Engineering (554 citations). Vibhav Vineet has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Ming‐Ming Cheng, Philip H. S. Torr, P. J. Narayanan, Stuart Golodetz, Stephen L. Hicks, Amir Saffari, Sam Hare, Jonathan Warrell, Shuai Zheng and Wen-Yan Lin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.
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.