Uttaran Bhattacharya joined Adobe Research as a Research Scientist in September 2022. His current research focuses on generative models and techniques to evaluate their performance for applications in 2D and 3D motion synthesis, editing, and video understanding in general.

Uttaran completed his Ph.D. in Computer Science at the University of Maryland, College Park, where he was advised by Prof. Dinesh Manocha in the GAMMA Lab and was partially supported by an Adobe Research Fellowship. With a research focus on affective human motion detection and synthesis, he worked on automated techniques to detect emotions from 3D human body expressions such as gaits and gestures, and to generate animated 3D body expressions corresponding to different emotions in a variety of social contexts. He also interned at Adobe Research between 2020 and 2021, where he worked on novel problems in human-centric and user-specific video highlight detection.

More information about Uttaran can be found on his website.

Publications

TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing

Guhan, P., Bhattacharya, U., Sarkhel, S., Azizi, V., Chen, X., Mitra, S., Bera, A., Manocha, D. (Aug. 16, 2024)

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024

HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances

Narasimhaswamy, S., Bhattacharya, U., Chen, X., Dasgupta, I., Mitra, S., Hoai, M. (Jun. 19, 2024)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Speech2UnifiedExpressions: Synchronous Synthesis of Co-Speech Affective Face and Body Expressions from Affordable Inputs

Bhattacharya, U., Bera, A., Manocha, D. (Jun. 18, 2024)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Workshop on Human Motion Generation (HuMoGen)

DanceAnyWay: Synthesizing Beat-Guided 3D Dances With Randomized Temporal Contrastive Learning

Bhattacharya, A., Paranjape, M., Bhattacharya, U., Bera, A. (Feb. 27, 2024)

The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024

Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention

Bhattacharya, U., Wu, G., Petrangeli, S., Swaminathan, V., Manocha, D. (Oct. 10, 2022)

ACM International Conference on Multimedia (ACMMM), 2022

HighlightMe: Detecting Highlights From Human-Centric Videos

Bhattacharya, U., Wu, G., Petrangeli, S., Swaminathan, V., Manocha, D. (Oct. 10, 2021)

IEEE/CVF International Conference on Computer Vision (ICCV), 2021