2026 Tadas Baltrusaitis: 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	31	13333	12932	5334	5077	97	12614

Overview

Tadas Baltrusaitis is a researcher affiliated with Microsoft in the United States, with a focus on fields spanning computer science, engineering, and medicine. Their academic contributions are primarily situated within computer vision and pattern recognition, biomedical engineering, computational mechanics, radiology, nuclear medicine and imaging, as well as signal processing.

Their work encompasses various topics, including:

Face recognition and analysis
Non-Invasive Vital Sign Monitoring
Face and Expression Recognition
3D Shape Modeling and Analysis
Biometric Identification and Security
Generative Adversarial Networks and Image Synthesis
Video Surveillance and Tracking Methods

Tadas Baltrusaitis has contributed to publications in venues such as:

arXiv (Cornell University)
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Plastic & Reconstructive Surgery Global Open
ACM Transactions on Graphics
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Recent papers authored or coauthored by Baltrusaitis include:

DigiFace-1M: 1 Million Digital Face Images for Face Recognition (2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision)
An Artificial Intelligence Approach to the Assessment of Abnormal Lid Position (2020, Plastic & Reconstructive Surgery Global Open)
SCAMPS: Synthetics for Camera Measurement of Physiological Signals (2022, arXiv)
Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars (2020, arXiv)
Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing (2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society)

Frequent coauthors collaborating with Baltrusaitis include:

Charlie Hewitt
Erroll Wood
Daniel McDuff
Virginia Estellers
Jingjing Shen

Best Publications

Multimodal Machine Learning: A Survey and Taxonomy

Tadas Baltrusaitis;Chaitanya Ahuja;Louis-Philippe Morency

3774
Citations
OpenFace: An open source facial behavior analysis toolkit

Tadas Baltrusaitis;Peter Robinson;Louis-Philippe Morency

1882
Citations
OpenFace 2.0: Facial Behavior Analysis Toolkit

Tadas Baltrusaitis;Amir Zadeh;Yao Chong Lim;Louis-Philippe Morency

1810
Citations
Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild

Tadas Baltrusaitis;Peter Robinson;Louis-Philippe Morency

519
Citations
Cross-dataset learning and person-specific normalisation for automatic Action Unit detection

Tadas Baltrusaitis;Marwa Mahmoud;Peter Robinson

493
Citations
3D Constrained Local Model for rigid and non-rigid facial tracking

Tadas Baltrusaitis;Peter Robinson;Louis-Philippe Morency

407
Citations
Learning an appearance-based gaze estimator from one million synthesised images

Erroll Wood;Tadas Baltrušaitis;Louis-Philippe Morency;Peter Robinson

337
Citations
Multimodal sentiment analysis with word-level fusion and reinforcement learning

Minghai Chen;Sen Wang;Paul Pu Liang;Tadas Baltrušaitis

332
Citations
Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection

Amir Zadeh;Yao Chong Lim;Tadas Baltrusaitis;Louis-Philippe Morency

283
Citations
RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion

Unknown

267
Citations
Deep multimodal fusion for persuasiveness prediction

Behnaz Nojavanasghari;Deepak Gopinath;Jayanth Koushik;Tadas Baltrušaitis

242
Citations
Convolutional Experts Constrained Local Model for Facial Landmark Detection

Amir Zadeh;Tadas Baltrusaitis;Louis-Philippe Morency

199
Citations
Fake It Till You Make It: Face analysis in the wild using synthetic data alone

Erroll Wood;Tadas Baltrušaitis;Charlie Hewitt;Sebastian Dziadzio

167
Citations
Continuous Conditional Neural Fields for Structured Regression

Tadas Baltrušaitis;Peter Robinson;Louis-Philippe Morency

151
Citations
DigiFace-1M: 1 Million Digital Face Images for Face Recognition

Unknown

147
Citations
Dimensional affect recognition using Continuous Conditional Random Fields

Tadas Baltrusaitis;Ntombikayise Banda;Peter Robinson

135
Citations
Extending Long Short-Term Memory for Multi-View Structured Learning

Shyam Sundar Rajagopalan;Louis-Philippe Morency;Tadas Baltrus̆aitis;Roland Goecke

130
Citations
Modeling latent discriminative dynamic of multi-dimensional affective signals

Geovany A. Ramirez;Tadas Baltrušaitis;Louis-Philippe Morency

120
Citations
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation

Erroll Wood;Tadas Baltrusaitis;Xucong Zhang;Yusuke Sugano

111
Citations
A 3D Morphable Eye Region Model for Gaze Estimation

Erroll Wood;Tadas Baltrušaitis;Louis-Philippe Morency;Peter Robinson

108
Citations
EmoReact: a multimodal approach and dataset for recognizing emotional responses in children

Behnaz Nojavanasghari;Tadas Baltrušaitis;Charles E. Hughes;Louis-Philippe Morency

103
Citations
Real-time inference of mental states from facial expressions and upper body gestures

Tadas Baltrusaitis;Daniel McDuff;Ntombikayise Banda;Marwa Mahmoud

94
Citations

Frequent Co-Authors

Louis-Philippe Morency Carnegie Mellon University

Peter Robinson University of Cambridge

Andreas Bulling University of Stuttgart

Jamie Shotton Microsoft (United States)

David M. J. Tax Delft University of Technology

Daniel McDuff Microsoft (United States)

Antonio Camurri University of Genoa

Sven Bölte Karolinska Institute

Simon Baron-Cohen University of Cambridge

Ofer Golan Bar-Ilan University

External Links

Personal website of Tadas Baltrusaitis

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring online education opens up a wide array of technology-related degrees that complement a background in computer science. For those looking to accelerate their learning, an accelerated cs degree program can help you earn credentials more quickly and enter the job market faster.

Interested in the intersection of technology and sustainability? Many choose environmental engineering schools online for a career focused on solving environmental challenges through engineering and technology.

If your interests lie in design, robotics, or advanced manufacturing, pursuing an online degree for mechanical engineering is a flexible way to gain practical skills relevant to both traditional and high-tech industries.

Additionally, a strong foundation in science can be built with a physics degree online. This route is ideal for those aiming to work in research, engineering, data analysis, or tech innovation.

These diverse pathways allow students to align their academic goals with rewarding career opportunities, all while maintaining the flexibility and accessibility of online study.