2026 Karteek Alahari: 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	32	12893	12514	328	318	110	8471

Overview

Karteek Alahari is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. The scientist's research predominantly spans the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition. This is reflected in a total of 102 publications in the field, including 66 specifically dedicated to Computer Vision and Pattern Recognition.

The subfields of study further detail their expertise, including Artificial Intelligence, Media Technology, Signal Processing, and Aerospace Engineering. Karteek Alahari's work covers specific advanced topics within these areas, notably:

Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Advanced Image and Video Retrieval Techniques
Human Pose and Action Recognition
Advanced Neural Network Applications
Video Analysis and Summarization
Advanced Vision and Imaging

Their recent publications include several papers demonstrating applications in computer vision, machine learning, and multimedia processing. Notable papers are:

"Self-Supervised Models are Continual Learners" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Memory-Augmented Reinforcement Learning for Image-Goal Navigation" (2022), published at the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
"LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR" (2022), in Computer Vision and Image Understanding
"The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)", published on arXiv (Cornell University)
"AVATAR: Unconstrained Audiovisual Speech Recognition" (2022), appearing in Interspeech 2022

Throughout the career, frequent co-authors have included Cordelia Schmid, Valentin Gabeur, Sainbayar Sukhbaatar, Piotr Bojanowski, and Xavier Alameda-Pineda, indicating a collaboration pattern across multiple research projects.

The scientist has contributed extensively to well-known venues, with a notable number of publications on arXiv (Cornell University), accounting for 30 papers. Other frequent publication venues include the International Journal of Computer Vision, the IEEE/CVF International Conference on Computer Vision (ICCV), HAL (Le Centre pour la Communication Scientifique Directe), and the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Best Publications

The Visual Object Tracking VOT2015 Challenge Results

Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

1837
Citations
End-to-End Incremental Learning

Francisco M. Castro;Manuel J. Marín-Jiménez;Nicolás Guil;Cordelia Schmid

1102
Citations
Scene Text Recognition using Higher Order Language Priors

Anand Mishra;Karteek Alahari;C.V. Jawahar

859
Citations
Multi-modal Transformer for Video Retrieval

Valentin Gabeur;Valentin Gabeur;Chen Sun;Karteek Alahari;Cordelia Schmid

525
Citations
Incremental Learning of Object Detectors without Catastrophic Forgetting

Konstantin Shmelkov;Cordelia Schmid;Karteek Alahari

495
Citations
Top-down and bottom-up cues for scene text recognition

Anand Mishra;Karteek Alahari;C. V. Jawahar

435
Citations
What, where and how many? combining object detectors and CRFs

L'ubor Ladický;Paul Sturgess;Karteek Alahari;Chris Russell

428
Citations
How Good Is My GAN

Konstantin Shmelkov;Cordelia Schmid;Karteek Alahari

407
Citations
Learning Video Object Segmentation with Visual Memory

Pavel Tokmakov;Karteek Alahari;Cordelia Schmid

367
Citations
Learning Motion Patterns in Videos

Pavel Tokmakov;Karteek Alahari;Cordelia Schmid

291
Citations
MARS: Motion-Augmented RGB Stream for Action Recognition

Nieves Crasto;Philippe Weinzaepfel;Karteek Alahari;Cordelia Schmid

285
Citations
Combining Appearance and Structure from Motion Features for Road Scene Understanding

Unknown

285
Citations
Track to the future: Spatio-temporal video segmentation with long-range motion cues

J. Lezama;K. Alahari;J. Sivic;I. Laptev

259
Citations
Learning Graphs to Match

Minsu Cho;Karteek Alahari;Jean Ponce

210
Citations
Self-Supervised Models are Continual Learners

Unknown

201
Citations
The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

Michael Felsberg;Amanda Berg;Gustav Hager;Jorgen Ahlberg

152
Citations
An MRF Model for Binarization of Natural Scene Text

Anand Mishra;Karteek Alahari;C.V. Jawahar

141
Citations
Mixing Body-Part Sequences for Human Pose Estimation

Anoop Cherian;Julien Mairal;Karteek Alahari;Cordelia Schmid

136
Citations
Exact inference in multi-label CRFs with higher order cliques

S. Ramalingam;P. Kohli;K. Alahari;P. Torr

134
Citations
Actor and Observer: Joint Modeling of First and Third-Person Videos

Gunnar A. Sigurdsson;Abhinav Gupta;Cordelia Schmid;Ali Farhadi

134
Citations
Whole is Greater than Sum of Parts: Recognizing Scene Text Words

Vibhor Goel;Anand Mishra;Karteek Alahari;C. V. Jawahar

129
Citations
Learning to Estimate and Remove Non-uniform Image Blur

Florent Couzinie-Devy;Jian Sun;Jian Sun;Karteek Alahari;Jean Ponce

121
Citations
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos.

Gunnar A. Sigurdsson;Abhinav Gupta;Cordelia Schmid;Ali Farhadi

119
Citations

Frequent Co-Authors

Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA

C. V. Jawahar International Institute of Information Technology, Hyderabad

Jakob Verbeek Facebook AI Research (FAIR) in Paris

Philip H. S. Torr University of Oxford

Chen Sun Google (United States)

Ali Farhadi University of Washington

Ivan Laptev Mohamed bin Zayed University of Artificial Intelligence

Julien Mairal French Institute for Research in Computer Science and Automation - INRIA

Josef Sivic Czech Technical University in Prague

Dhruv Batra Georgia Institute of Technology

External Links

Personal website of Karteek Alahari

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