ORCID as entered in ROS
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Select Publications
2024, Mood as a Contextual Cue for Improved Emotion Inference, , http://arxiv.org/abs/2402.08413v1
,2023, Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning, , http://arxiv.org/abs/2308.02173v1
,2023, Explainable Depression Detection via Head Motion Patterns, , http://arxiv.org/abs/2307.12241v1
,2023, A Weakly Supervised Approach to Emotion-change Prediction and Improved Mood Inference, , http://arxiv.org/abs/2306.06979v2
,2023, Focus on Change: Mood Prediction by Learning Emotion Changes via Spatio-Temporal Attention, , http://arxiv.org/abs/2303.06632v1
,2023, Explainable Human-centered Traits from Head Motion and Facial Expression Dynamics, , http://arxiv.org/abs/2302.09817v2
,2022, To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion, , http://arxiv.org/abs/2210.00719v1
,2022, Affective Computational Advertising Based on Perceptual Metrics, , http://arxiv.org/abs/2207.07297v1
,2022, Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals, , http://arxiv.org/abs/2202.12936v1
,2020, Characterizing Hirability via Personality and Behavior, , http://arxiv.org/abs/2006.12041v1
,2019, Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, , http://arxiv.org/abs/1904.00887v4
,2018, A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation, , http://arxiv.org/abs/1809.03313v1
,2018, EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction, , http://arxiv.org/abs/1808.07773v1
,2016, Analyzing the Affect of a Group of People Using Multi-modal Framework, , http://arxiv.org/abs/1610.03640v2
,2015, Harnessing the Deep Net Object Models for Enhancing Human Action Recognition, , http://arxiv.org/abs/1512.06498v2
,2015, Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees, , http://arxiv.org/abs/1512.01055v1
,Resanet: Residual Aggregation Networks for Dense Prediction, , http://dx.doi.org/10.2139/ssrn.4212324
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