233 citations · 902 across the 70 of their papers we have counts for
12 papers · 1 filter
StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories
Rohan Chandra, Aniket Bera, Dinesh Manocha
Studies have shown that autonomous vehicles (AVs) behave conservatively in a traffic environment composed of human drivers and do not adapt to local conditions and socio-cultural n…
EWareNet: Emotion Aware Human Intent Prediction and Adaptive Spatial Profile Fusion for Social Robot Navigation
Venkatraman Narayanan, Bala Murali Manoghar, Rama Prashanth RV +1
We present EWareNet, a novel intent and affect-aware social robot navigation algorithm among pedestrians. Our approach predicts the trajectory-based pedestrian intent from gait seq…
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks
Videsh Suman, Phu Pham, Aniket Bera
A key aspect of driving a road vehicle is to interact with other road users, assess their intentions and make risk-aware tactical decisions. An intuitive approach to enabling an in…
Developing an Effective and Automated Patient Engagement Estimator for Telehealth: A Machine Learning Approach
Pooja Guhan, Naman Awasthi, and Kathryn McDonald +4
We discuss MET, a learning-based algorithm proposed for perceiving a patient's level of engagement during telehealth sessions. We leverage latent vectors corresponding to Affective…
SeekNet: Improved Human Instance Segmentation and Tracking via Reinforcement Learning Based Optimized Robot Relocation
Venkatraman Narayanan, Bala Murali Manoghar, Rama Prashanth RV +2
Amodal recognition is the ability of the system to detect occluded objects. Most SOTA Visual Recognition systems lack the ability to perform amodal recognition. Few studies have ac…
Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation
Vishnu Sashank Dorbala, Arjun Srinivasan, Aniket Bera
Humans are known to construct cognitive maps of their everyday surroundings using a variety of perceptual inputs. As such, when a human is asked for directions to a particular loca…
Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression
Uttaran Bhattacharya, Nicholas Rewkowski, Pooja Guhan +4
We present a novel autoregression network to generate virtual agents that convey various emotions through their walking styles or gaits. Given the 3D pose sequences of a gait, our…
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders
Abhishek Banerjee, Uttaran Bhattacharya, Aniket Bera
We present a novel generalized zero-shot algorithm to recognize perceived emotions from gestures. Our task is to map gestures to novel emotion categories not encountered in trainin…
EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle
Trisha Mittal, Pooja Guhan, Uttaran Bhattacharya +3
We present EmotiCon, a learning-based algorithm for context-aware perceived human emotion recognition from videos and images. Motivated by Frege's Context Principle from psychology…
Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues
Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra +2
We present a learning-based method for detecting real and fake deepfake multimedia content. To maximize information for learning, we extract and analyze the similarity between the…
CMetric: A Driving Behavior Measure Using Centrality Functions
Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal +2
We present a new measure, CMetric, to classify driver behaviors using centrality functions. Our formulation combines concepts from computational graph theory and social traffic psy…
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation
Venkatraman Narayanan, Bala Murali Manoghar, Vishnu Sashank Dorbala +2
We present ProxEmo, a novel end-to-end emotion prediction algorithm for socially aware robot navigation among pedestrians. Our approach predicts the perceived emotions of a pedestr…