Vijay Badrinarayanan

5.2k total citations
17 papers, 888 citations indexed

About

Vijay Badrinarayanan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Vijay Badrinarayanan has authored 17 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Vijay Badrinarayanan's work include Advanced Image and Video Retrieval Techniques (9 papers), Video Surveillance and Tracking Methods (5 papers) and Video Analysis and Summarization (3 papers). Vijay Badrinarayanan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Video Surveillance and Tracking Methods (5 papers) and Video Analysis and Summarization (3 papers). Vijay Badrinarayanan collaborates with scholars based in United Kingdom, France and United States. Vijay Badrinarayanan's co-authors include Roberto Cipolla, Andrew Rabinovich, Chen‐Yu Lee, Ankur Handa, Alex Kendall, Ignas Budvytis, Chen Zhao, Fabio Galasso, Viorica Pătrăucean and Simon Stent and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE/ACM Transactions on Networking.

In The Last Decade

Vijay Badrinarayanan

17 papers receiving 843 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vijay Badrinarayanan United Kingdom	13	666	189	146	90	68	17	888
Tengteng Huang China	7	930 1.4×	188 1.0×	203 1.4×	69 0.8×	85 1.3×	7	1.1k
Songzhi Su China	14	548 0.8×	265 1.4×	142 1.0×	80 0.9×	22 0.3×	73	873
Tianjian Meng United States	3	459 0.7×	193 1.0×	133 0.9×	47 0.5×	43 0.6×	4	587
Holger Caesar Netherlands	7	772 1.2×	324 1.7×	106 0.7×	37 0.4×	31 0.5×	19	948
Delong Zhu Hong Kong	16	601 0.9×	138 0.7×	461 3.2×	107 1.2×	60 0.9×	42	892
Mingyu Ding China	15	682 1.0×	280 1.5×	236 1.6×	36 0.4×	45 0.7×	38	902
Danda Pani Paudel Switzerland	16	742 1.1×	190 1.0×	289 2.0×	34 0.4×	34 0.5×	62	917
Fabio Poiesi Italy	14	336 0.5×	146 0.8×	157 1.1×	171 1.9×	21 0.3×	52	595
Raoul de Charette France	11	589 0.9×	122 0.6×	171 1.2×	80 0.9×	121 1.8×	23	816
Wei-Chen Chiu Taiwan	16	873 1.3×	242 1.3×	145 1.0×	50 0.6×	25 0.4×	55	1.1k

Countries citing papers authored by Vijay Badrinarayanan

Since Specialization

Citations

This map shows the geographic impact of Vijay Badrinarayanan'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 Vijay Badrinarayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Badrinarayanan more than expected).

Fields of papers citing papers by Vijay Badrinarayanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vijay Badrinarayanan. 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 Vijay Badrinarayanan. The network helps show where Vijay Badrinarayanan may publish in the future.

Co-authorship network of co-authors of Vijay Badrinarayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Badrinarayanan. A scholar is included among the top collaborators of Vijay Badrinarayanan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vijay Badrinarayanan. Vijay Badrinarayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Hu, Anthony, Zak Murez, Nikhil Mohan, et al.. (2021). FIERY: Future Instance Prediction in Bird’s-Eye View from Surround Monocular Cameras. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15253–15262. 147 indexed citations

Badrinarayanan, Vijay, et al.. (2019). EyeNet: A Multi-Task Deep Network for Off-Axis Eye Gaze Estimation. 3683–3687. 22 indexed citations

Zhao, Chen, Vijay Badrinarayanan, Chen‐Yu Lee, & Andrew Rabinovich. (2018). GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. International Conference on Machine Learning. 794–803. 122 indexed citations

Lee, Chen‐Yu, Vijay Badrinarayanan, Tomasz Malisiewicz, & Andrew Rabinovich. (2017). RoomNet: End-to-End Room Layout Estimation. 4875–4884. 101 indexed citations

Kendall, Alex, Vijay Badrinarayanan, & Roberto Cipolla. (2017). Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. Apollo (University of Cambridge). 60 indexed citations

Handa, Ankur, Viorica Pătrăucean, Vijay Badrinarayanan, Simon Stent, & Roberto Cipolla. (2016). Understanding RealWorld Indoor Scenes with Synthetic Data. 4077–4085. 135 indexed citations

Badrinarayanan, Vijay, Ankur Handa, & Roberto Cipolla. (2015). SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling. arXiv (Cornell University). 46 indexed citations

Nencioni, Gianfranco, Nishanth Sastry, Gareth Tyson, et al.. (2015). SCORE: Exploiting Global Broadcasts to Create Offline Personal Channels for On-Demand Access. IEEE/ACM Transactions on Networking. 24(4). 2429–2442. 13 indexed citations

Badrinarayanan, Vijay, Ignas Budvytis, & Roberto Cipolla. (2013). Semi-Supervised Video Segmentation Using Tree Structured Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(11). 2751–2764. 42 indexed citations

10.

Badrinarayanan, Vijay, Ignas Budvytis, & Roberto Cipolla. (2013). Mixture of Trees Probabilistic Graphical Model for Video Segmentation. International Journal of Computer Vision. 110(1). 14–29. 10 indexed citations

11.

Budvytis, Ignas, Vijay Badrinarayanan, & Roberto Cipolla. (2012). MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation. 72.1–72.11. 7 indexed citations

12.

Budvytis, Ignas, Vijay Badrinarayanan, & Roberto Cipolla. (2011). Semi-supervised video segmentation using tree structured graphical models. 2257–2264. 30 indexed citations

13.

Badrinarayanan, Vijay, Fabio Galasso, & Roberto Cipolla. (2010). Label propagation in video sequences. Max Planck Digital Library. 3265–3272. 88 indexed citations

14.

Budvytis, Ignas, Vijay Badrinarayanan, & Roberto Cipolla. (2010). Label propagation in complex video sequences using semi-supervised learning. 27.1–27.12. 18 indexed citations

15.

Badrinarayanan, Vijay, et al.. (2008). Geometric Layout Based Graphical Model for Multi-Part Object Tracking. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

16.

Badrinarayanan, Vijay, et al.. (2007). Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues. 1–8. 41 indexed citations

17.

Badrinarayanan, Vijay, et al.. (2007). On Uncertainties, Random Features and Object Tracking. V – 61. 4 indexed citations

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.

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