About Me

Welcome to my homepage! I am a Research Scientist at Adobe Inc. I recently defended my Ph.D. in Computer Science at the University of Maryland, College Park, USA, where I was advised by Dr. Dinesh Manocha. My research interests span the domains of affective computing and human motion recognition and synthesis. I am currently working on automated techniques to generate and edit multimodal content consisting of text, image, and videos. During my previous internship at Google Research in Mountain View, I have developed automated techniques to generate 3D animations of co-speech human facial expressions and body getures corresponding to different emotions in a variety of social contexts. I have also worked as an intern at Adobe Research in San Jose, on the bleeding edge of automated video editing and highlight detection from videos. Before coming to Maryland, I completed my Master of Engineering and then worked one year as a research associate with Dr. Venu Madhav Govindu at the Department of Electrical Engineering, Indian Institute of Science, where I developed efficient and robust algorithms for robust large-scale 3D reconstructions of objects and scenes from RGB images and raw depth maps.

Latest News

November 2022
Best paper award at ACM MIG 2022

September 2022
Starting at Adobe Inc. as a Research Scientist

July 2022
One paper at ACMMM 2022

March 2021
Best paper award at IEEE VR 2021

February 2021
Research fellowship from Adobe Inc.

Media Coverage

April 05, 2021
Graduate Student Bhattacharya Receives Adobe Research Fellowship

July 12, 2019
Identifying perceived emotions from people's walking style

April 04, 2019
UMD professor builds simulator to train self-driving cars

Education

Ph.D. in Computer Science

2018 - 2022

University of Maryland, College Park, USA

Advisor: Dinesh Manocha

M.E. in System Science and Automation

2015 - 2017

Indian Institute of Science, Bengaluru, India

Advisor: Venu Madhav Govindu

B.Tech. in Computer Science and Engineering

2011 - 2015

West Bengal University of Technology, Kolkata, India

Professional Experience

Research Scientist

September 2022 - Present

Adobe Inc., San Jose, CA, USA

Research Intern

May 2022 - August 2022

Google Inc., Mountain View, CA, USA

Multimedia Systems Research Intern (Remote)

May 2021 - August 2021

Adobe Inc., San Jose, CA, USA

Data Science Research Intern (Remote)

May 2020 - March 2021

Adobe Inc., San Jose, CA, USA

Research Assistant

January 2019 - May 2022

University of Maryland, College Park, USA

Teaching Assistant

August 2018 - December 2018

University of Maryland, College Park, USA

Research Associate

July 2017 - May 2018

Indian Institute of Science, Bengaluru, India

Teaching Assistant

August 2016 - December 2016

Indian Institute of Science, Bengaluru, India

Software Engineer Intern

June 2014 - July 2014

Tata Consultancy Services Innovations Lab, Kolkata, India

Services

Conference Senior Program Committee Member

AAAI 2023.

Journal Reviewer

ACM SIGGRAPH Asia 2022. ACM SIGGRAPH 2022. AIRE 2021. CVIU 2020. RA-L 2021. IEEE ToM 2022.

Conference Reviewer

AAAI 2022, 2021. ACCV 2020. CVPR 2023, 2022, 2021, 2020. ECCV 2022. ICCV 2021. ICLR 2023, 2022. ICML 2022. ICRA 2020. IEEEVR 2023. IROS 2020. NeurIPS 2022, 2021, 2020. WACV 2022, 2021.

Conference/Journal External Reviewer

ACM SIGGRAPH 2020. ICRA 2020. IEEEVR 2020. IROS 2019.

Conference Volunteer

AAAI 2020. CVPR 2019. SPCOM 2016.

Awards and Nominations

ACM MIG 2022 Best Paper Award
"Learning Gait Emotions Using Affective and Deep Features" by Tanmay Randhavane, Uttaran Bhattacharya, Pooja Kabra, Kyra Kapsaskis, Kurt Gray, Dinesh Manocha, and Aniket Bera.

UMD Invention of the Year Award 2022 Nominee
"Deepfake Detection Tool" by Trisha Mittal, Aniket Bera, Uttaran Bhattacharya, Rohan Chandra, and Dinesh Manocha.

UMD Invention of the Year Award 2021 Nominee
"M3ER: Multiplicative Multimodal Emotion Recognition" by Trisha Mittal, Aniket Bera, Uttaran Bhattacharya, Rohan Chandra, and Dinesh Manocha.

ACMMM 2021 Best Paper Award Nominee
"Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning" by Uttaran Bhattacharya, Elizabeth Childs, Nicholas Rewkowski, and Dinesh Manocha.

IEEE VR 2021 Best Paper Award
"Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents" by Uttaran Bhattacharya, Nicholas Rewkowski, Abhishek Banerjee, Pooja Guhan, Aniket Bera, and Dinesh Manocha.

Adobe Research Fellowship, 2021
Adobe Inc.

ACM SAP 2019 Best Poster Award
"Identifying Emotions from Walking Using Affective and Deep Features" by Tanmay Randhavane, Uttaran Bhattacharya, Aniket Bera, Kyra Kapsaskis, Kurt Gray, and Dinesh Manocha.

Dean's Fellowship, 2018
University of Maryland, College Park, USA.

Outstanding Student Award, 2013
Institute of Engineering and Management under the West Bengal University of Technology, Kolkata, India.

Research Interests

  • All
  • Emotive Motion Synthesis
  • Perceived Emotion Recognition
  • Large-Scale 3D Reconstruction
Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning
Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents
Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Efficient and Robust Registration on the 3D Special Euclidean Group
Fast Multiview 3D Scan Registration Using Planar Structures

Bibliography

Refereed Publications

  1. Tanmay Randhavane, Uttaran Bhattacharya, Pooja Kabra, Kyra Kapsaskis, Kurt Gray, Dinesh Manocha, and Aniket Bera. "Learning Gait Emotions Using Affective and Deep Features". ACM SIGGRAPH Conference on Motion, Interaction and Games (MIG), 2022.
    Conference OralBest Paper Paper Google Scholar
  2. Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli, Viswanathan Swaminathan, and Dinesh Manocha. "Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention". ACM International Conference on Multimedia (ACMMM), 2022.
    Conference Poster Paper Google Scholar
  3. Abhishek Banerjee, Uttaran Bhattacharya, and Aniket Bera. "Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders". Association for the Advancement of Artificial Intelligence (AAAI), 2022.
    Conference Oral Paper Project Google Scholar
  4. Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli, Viswanathan Swaminathan, and Dinesh Manocha. "HighlightMe: Detecting Highlights from Human-Centric Videos". IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
    Conference Poster Paper Google Scholar
  5. Uttaran Bhattacharya, Elizabeth Childs, Nicholas Rewkowski, and Dinesh Manocha. "Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning". ACM International Conference on Multimedia (ACMMM), 2021.
    Conference OralBest Paper Nominee Paper Project Code Google Scholar
  6. Uttaran Bhattacharya, Nicholas Rewkowski, Abhishek Banerjee, Pooja Guhan, Aniket Bera, and Dinesh Manocha. "Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents". IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), 2021.
    Conference OralBest Paper Paper Project Code Google Scholar
  7. Uttaran Bhattacharya, Nicholas Rewkowski, Pooja Guhan, Niall L. Williams, Trisha Mittal, Aniket Bera, and Dinesh Manocha. "Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression". International Symposium on Mixed and Augmented Reality (ISMAR), 2020.
    Conference Oral Paper Project Code Google Scholar
  8. Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, and Dinesh Manocha. "Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues". ACM International Conference on Multimedia (ACMMM), 2020.
    Conference Poster Paper Project Google Scholar
  9. Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra, Kyra Kapsaskis, Kurt Gray, Aniket Bera, and Dinesh Manocha. "Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping". European Conference on Computer Vision (ECCV), 2020.
    Conference Poster Paper Project Code Google Scholar
  10. Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Aniket Bera, and Dinesh Manocha. "CMetric: A Driving Behavior Measure Using Centrality Functions". IEEE/RSJ International Conference on Intelligence Robots and Systems (IROS), 2020.
    Conference Oral Paper Project Code Google Scholar
  11. Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, and Dinesh Manocha. "Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs". Robotics and Automation Letters (RA-L), 2020, IEEE/RSJ International Conference on Intelligence Robots and Systems (IROS), 2020.
    Journal Conference Oral Paper Project Code Google Scholar
  12. Trisha Mittal, Pooja Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, and Dinesh Manocha. "EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle". IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2020.
    Conference Poster Paper Project Data Google Scholar
  13. Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Aniket Bera, and Dinesh Manocha. "GraphRQI: Classifying Driver Behaviors Using Graph Spectrums". International Conference on Robotics and Automation (ICRA), 2020.
    Conference Oral Paper Project Code Google Scholar
  14. Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, and Dinesh Manocha. "RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments". International Conference on Robotics and Automation (ICRA), 2020.
    Conference Oral Paper Project Code Google Scholar
  15. Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, and Dinesh Manocha. "STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits". Association for the Advancement of Artificial Intelligence (AAAI), 2020.
    Conference Spotlight Paper Project Code Google Scholar
  16. Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, and Dinesh Manocha. "M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues". Association for the Advancement of Artificial Intelligence (AAAI), 2020.
    Conference Oral Paper Project Google Scholar
  17. Uttaran Bhattacharya, and Venu Madhav Govindu. "Efficient and Robust Registration on The 3D Special Euclidean Group". IEEE/CVF International Conference on Computer Vision (ICCV), 2019.
    Conference Poster Paper Google Scholar
  18. Rohan Chandra, Uttaran Bhattacharya, Christian Roncal, Aniket Bera, and Dinesh Manocha. "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". ACM Computer Science in Cars Symposium (CSCS), 2019.
    Conference Oral Paper Project Code Google Scholar
  19. Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, and Dinesh Manocha. "DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features". IEEE/RSJ International Conference on Intelligence Robots and Systems (IROS), 2019.
    Conference Oral Paper Project Data Google Scholar
  20. Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, and Dinesh Manocha. "TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions". IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2019.
    Conference Poster Paper Project Code Data Google Scholar
  21. Uttaran Bhattacharya, Sumit Veerawal, and Venu Madhav Govindu. "Fast Multiview Registration of 3D Scans using Planar Structures". International Conference on 3D Vision (3DV), 2017.
    Conference Spotlight Paper Google Scholar
  22. Uttaran Bhattacharya, and Dipannita Dey. "Comparative Analysis of Scheduling Algorithms in Computational Grid Environment". International Journal of Computer Applications (IJCA), December 2014.
    Journal Paper Google Scholar

Contact

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San Jose, CA, USA