Trisha Mittal

Orcid: 0000-0003-3558-6518

According to our database1, Trisha Mittal authored at least 24 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2023
Towards Multimodal and Context-Aware Emotion Perception.
PhD thesis, 2023

Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Naturalistic Head Motion Generation from Speech.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Estimating Emotion Contagion on Social Media via Localized Diffusion in Dynamic Graphs.
CoRR, 2022

3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Multimodal and Context-Aware Emotion Perception Model With Multiplicative Fusion.
IEEE Multim., 2021

BOhance: Bayesian Optimization for Content Enhancement.
Proceedings of the IEEE International Symposium on Multimedia, 2021

Dynamic Graph Modeling Of Simultaneous EEG And Eye-Tracking Data For Reading Task Identification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs.
IEEE Robotics Autom. Lett., 2020

Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

MCQA: Multimodal Co-attention Based Network for Question Answering.
CoRR, 2020

Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues.
CoRR, 2020

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method using Affective Cues.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression.
Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, 2020

CMetric: A Driving Behavior Measure using Centrality Functions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

GraphRQI: Classifying Driver Behaviors Using Graph Spectrums.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping.
Proceedings of the Computer Vision - ECCV 2020, 2020

EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping.
CoRR, 2019

2018
Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
A Logo-Based Approach for Recognising Multiple Products on a Shelf.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016


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