Trisha Mittal

I am a 4th year Computer Science PhD student at University of Maryland, College Park. I am a member of the GAMMA Lab and am advised by Prof. Dinesh Manocha. At present my research is in Affective Computing.

Prior to this, I graduated with a Bachelor of Technology (B.Tech) and a Master of Technology (M.Tech) in Information Technology from International Institute of Information Technology, Bangalore (IIIT-B), India. This was a five-year dual-degree undergraduate program (August 2013 - July 2018).


Latest News
  • 08-2021: Invited to participate in the Rising Stars 2021 EECS Workshop. An Academic Career Workshop for Women, hosted virtually at MIT (October'21).
  • 07-2021: I am co-leading a project (~2 weeks) for some of the AI4ALL campers at UMD.
  • 05-2021: I am interning remotely at Adobe Research, San Jose.
  • 03-2021: One paper accepted at CVPR'21 (Poster).

Publications

Affective Computing

Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality

University of Maryland, College Park, USA

Trisha Mittal*, Puneet Mathur, Aniket Bera, Dinesh Manocha

CVPR 2021 (Poster)

Emotion's Don't Lie: A DeepFake Detection Method using Audio-Visual Affective Cues

University of Maryland, College Park, USA

Trisha Mittal*, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha

ACM MM 2020 (Poster)

EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle

University of Maryland, College Park, USA

Trisha Mittal*, Pooja Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha

CVPR 2020 (Poster)

M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues

University of Maryland, College Park, USA

Trisha Mittal*, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha

AAAI 2020 (Oral)

Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping

University of Maryland, College Park, USA

Uttaran Bhattacharya, Christian Roncal, Trisha Mittal*, Rohan Chandra, Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha

ECCV 2020 (Poster)

STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

University of Maryland, College Park, USA

Uttaran Bhattacharya, Trisha Mittal*, Rohan Chandra, Tanmay Randhavane, Aniket Bera, Dinesh Manocha

ECCV 2020 (Poster)

Autonomous Driving

CMetric: A Driving Behavior Measure using Centrality Functions

University of Maryland, College Park, USA

Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal*, Aniket Bera, Dinesh Manocha

IROS 2020 (Oral)

GraphRQI: Classifying Driver Behaviors Using Graph Spectrums

University of Maryland, College Park, USA

Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal*, Aniket Bera, Dinesh Manocha

ICRA 2020

Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs

University of Maryland, College Park, USA

Rohan Chandra, Tianrui Guan, Srujan Panuganti, Uttaran Bhattacharya, Trisha Mittal*, Aniket Bera, Dinesh Manocha

IROS/RAL 2020

Others

Assisted Inverse Reinforcement Learning

MPI, Saarbrucken, Germany

P. Kamalaruban, R. Devidze, T. Yeo, T. Mittal*, V. Cevher, A. Singla

NeurIPS'18, 2018 In Learning by Instruction Workshop

Pictionary-style Word Guessing on Hand-drawn Object Sketches: Dataset, Analysis and Deep Network Models

IISc Bangalore, India

Ravi Kiran Sarvadevbatla, Shiv Surya, Trisha Mittal*, Venkatesh Babu Radhakrishnan

AAAI18 (Poster)
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018

A Logo-Based Approach for Recognising Multiple Products on a Shelf

IIIT Bangalore, India

Trisha Mittal*, B. Laasya, and J. Dinesh Babu

SAI Intellisys 2016 (Oral)

Internships

Multimedia Systems Research Intern at Adobe Research, San Jose (Converted to a Remote Internship).

Data Science Research Intern at Adobe Research, San Jose (Converted to a Remote Internship).

Extended part-time through Fall 2020 and Spring 2021.

Visiting Research Fellow at Max-Planck Institute for Software Systems, Saarbrucken, Germany

Interned under Prof. Adish Singla and worked on problems at the intersection of Inverse Reinforcement Learning and Machine Teaching.

Intern at Video Analytics Lab, Indian Institute of Science, Bangalore, India.

Guided by Prof. Venkatesh Babu in an attempt to train a RL agent to be able to draw sketches.

Intern at Video Analytics Lab, Indian Institute of Science, Bangalore, India.

Guided by Prof. Venkatesh Babu and worked with Ravikiran Sarvadevbatla and Shiv Surya to develop computational models for Pictionary-style word guessing.

Selected Coursework

Graduate Coursework
(University of Maryland, College Park, USA)		 Undergraduate Coursework
(IIIT Bangalore, India)
Fall 2018 Fall 2019 August 2013 - May 2018
CMSC 828D: Interactive Data Analytics
(Prof. Leilani Battle)		 CMSC 726: Machine Learning
(Prof. Soheil Feizi)		 CS/DS 704 Multi-Agent Systems
(Prof. Srinath Srinivasa)
CMSC 723: Computational Linguistics I
(Prof. Jordan Boyd-Graber)		 CMSC 828I: Visual Recognition and Learning
(Prof. Abhinav Shrivastava)		 CS 551 Introduction to Automata Theory & Computability
(Prof. Shrisha Rao)
CMSC 798: Independent Research Project
(Prof. Dinesh Manocha)		 CS/DS 812 Foundations of Big Data Algorithms
(Prof. G Srinivasaraghavan)
Spring 2019 Spring 2020 CS/DS 864 Machine Learning
(Prof. G Srinivasaraghavan)
CMSC 818N: Robotics
(Prof. Dinesh Manocha)		 CMSC 838J: Interactive Technologies in HCI
(Prof. Huaishu Peng)		 DS/NC 866 Advanced Machine Perception
(Prof. Dinesh Babu Jayagopi)
CMSC 764: Advanced Numerical Optimization
(Prof. Tom Goldstein)		 Fall 2020 CS 606 Computer Graphics
(Prof. Jaya Nair and Prof. T K Srikanth)
CMSC 798: Independent Research Project
(Prof. Dinesh Manocha)		 CMSC 828W: Foundations of DL
(Prof. Soheil Feizi)		 DS/NC 821 Automatic Speech Recognition
Prof. V Ramasubramanian

Teaching

Project Co-lead at AI4ALL UMD Camp

Led a 2 week long project on 'Sentiment Analysis of Twitter Data' for 5-6 high school students. Introduced them to various aspects of Machine Learning and Artificial Intelligence.

University of Maryland, College Park

Supervision: Prof. Dinesh Manocha

Girls Who Code, UMD Chapter

Volunteered as a Python TA for the semester for the UMD Chapter of Girls Who Code.

University of Maryland, College Park

CMSC 250

Led a Discussion session of 30 students twice a week covering concepts and discussing questions. Also, hold office hours 4 hrs every week.

University of Maryland, College Park

Course Instructor: Prof. Clyde Kruskal

CMSC 250

Led a Discussion session of 40 students twice a week covering concepts and discussing questions. Also, held office hours 4 hrs every week.

University of Maryland, College Park

Course Instructor: Jason Filippou

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