2026 Gabriel J. Brostow: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	39	9493	9219	592	584	97	14613

Overview

Gabriel J. Brostow is affiliated with University College London in the United Kingdom. Their research spans multiple disciplines within computer science and engineering, with significant contributions to computer vision and pattern recognition.

The main fields of study associated with Brostow include:

Computer Science
Engineering

Brostow's work covers several subfields such as:

Computer Vision and Pattern Recognition
Aerospace Engineering
Artificial Intelligence
Media Technology
Molecular Biology

The scientist's research topics are diverse, focusing on areas including:

Advanced Vision and Imaging
Advanced Image and Video Retrieval Techniques
Robotics and Sensor-Based Localization
Domain Adaptation and Few-Shot Learning
Remote-Sensing Image Classification
Advanced Neural Network Applications
3D Surveying and Cultural Heritage

Recent notable papers authored by Brostow are:

"Shazam for bats: Internet of Things for continuous real-time biodiversity monitoring" (2021), published in IET Smart Cities
"Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring" (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models" (2022), available on arXiv (Cornell University)
"Image Stylization for Robust Features" (2020), available on arXiv (Cornell University)
"LookOut! Interactive Camera Gimbal Controller for Filming Long Takes" (2022), published in ACM Transactions on Graphics

Frequent co-authors collaborating with Brostow include:

Shai Avidan
Moustapha Cissé
Giovanni Maria Farinella
Tal Hassner
Oisin Mac Aodha

Brostow has published extensively in venues such as:

arXiv (Cornell University)
Lecture notes in computer science
IET Smart Cities
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

The scientist has also contributed books published by Springer Science+Business Media, with a significant number of chapters in "Computer Vision - ECCV 2022".

Best Publications

Unsupervised Monocular Depth Estimation with Left-Right Consistency

Clement Godard;Oisin Mac Aodha;Gabriel J. Brostow

3284
Citations
Digging Into Self-Supervised Monocular Depth Estimation

Clement Godard;Oisin Mac Aodha;Michael Firman;Gabriel Brostow

1950
Citations
Semantic object classes in video: A high-definition ground truth database

Gabriel J. Brostow;Julien Fauqueur;Roberto Cipolla

1622
Citations
Segmentation and Recognition Using Structure from Motion Point Clouds

Gabriel J. Brostow;Jamie Shotton;Julien Fauqueur;Roberto Cipolla

1208
Citations
Harmonic Networks: Deep Translation and Rotation Equivariance

Daniel E. Worrall;Stephan J. Garbin;Daniyar Turmukhambetov;Gabriel J. Brostow

642
Citations
Unsupervised Bayesian Detection of Independent Motion in Crowds

G.J. Brostow;R. Cipolla

596
Citations
Deep blending for free-viewpoint image-based rendering

Peter Hedman;Julien Philip;True Price;Jan-Michael Frahm

486
Citations
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

Jamie Watson;Oisin Mac Aodha;Victor Prisacariu;Gabriel Brostow

294
Citations
Automatic Joint Parameter Estimation from Magnetic Motion Capture Data

James F. O'Brien;Robert E. Bodenheimer;Gabriel Julian Brostow;Jessica K. Hodgins

270
Citations
Bat detective—Deep learning tools for bat acoustic signal detection

Oisin Mac Aodha;Rory Gibb;Kate E. Barlow;Ella Browning;Ella Browning

255
Citations
Patch based synthesis for single depth image super-resolution

Oisin Mac Aodha;Neill D. F. Campbell;Arun Nair;Gabriel J. Brostow

247
Citations
Non-rigid Photometric Stereo with Colored Lights

C. Hernandez;G. Vogiatzis;G.J. Brostow;B. Stenger

219
Citations
Self-Supervised Monocular Depth Hints

Jamie Watson;Michael Firman;Gabriel Brostow;Daniyar Turmukhambetov

213
Citations
Structured Prediction of Unobserved Voxels from a Single Depth Image

Michael Firman;Oisin Mac Aodha;Simon Julier;Gabriel J. Brostow

208
Citations
Unstructured video-based rendering: interactive exploration of casually captured videos

Luca Ballan;Gabriel J. Brostow;Jens Puwein;Marc Pollefeys

207
Citations
RAPter: rebuilding man-made scenes with regular arrangements of planes

Aron Monszpart;Nicolas Mellado;Gabriel J. Brostow;Niloy J. Mitra

194
Citations
Hierarchical Subquery Evaluation for Active Learning on a Graph

Oisin Mac Aodha;Neill D. F. Campbell;Jan Kautz;Gabriel J. Brostow

170
Citations
Scalable inside-out image-based rendering

Peter Hedman;Tobias Ritschel;George Drettakis;Gabriel Brostow

159
Citations
Learning to Remove Soft Shadows

Maciej Gryka;Michael Terry;Gabriel J. Brostow

149
Citations
CubeNet: Equivariance to 3D Rotation and Translation

Daniel E. Worrall;Gabriel J. Brostow

147
Citations
Capturing Time-of-Flight data with confidence

Malcolm Reynolds;Jozef Dobos;Leto Peel;Tim Weyrich

141
Citations

Frequent Co-Authors

Roberto Cipolla University of Cambridge

Marc Pollefeys ETH Zurich

Irfan Essa Georgia Institute of Technology

Jamie Shotton Microsoft (United States)

Daniel C. Alexander University College London

Mark Girolami University of Cambridge

Fredrik Kahl Chalmers University of Technology

Danail Stoyanov University College London

Jan Kautz Nvidia (United States)

George Drettakis French Institute for Research in Computer Science and Automation - INRIA

External Links

Personal website of Gabriel J. Brostow Google Scholar page

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