Multi-Agent Path Finding (MAPF) in crowded environments presents a
chall...
Predicting pedestrian movements remains a complex and persistent challen...
We introduce a new approach to address the task allocation problem in a
...
Mass casualty incidents (MCIs) pose a formidable challenge to emergency
...
With the rise in manipulated media, deepfake detection has become an
imp...
Affect is an emotional characteristic encompassing valence, arousal, and...
A major challenge to deploying robots widely is navigation in human-popu...
We present a novel optimization algorithm called DroNeRF for the autonom...
With the increasing availability and affordability of personal robots, t...
We propose a novel approach for aerial video action recognition. Our met...
Numerical approximations of partial differential equations (PDEs) are
ro...
We present DanceAnyWay, a hierarchical generative adversarial learning m...
We address the problem of generating 3D human motions in dyadic activiti...
We present, NIO - Neural Interpolation Operator, a lightweight efficient...
We present a novel method for placing a 3D human animation into a 3D sce...
We present a computational approach for estimating emotion contagion on
...
We present 3MASSIV, a multilingual, multimodal and multi-aspect,
expertl...
We present a novel metric to analyze the similarity between the physical...
Studies have shown that autonomous vehicles (AVs) behave conservatively ...
We present a new approach for redirected walking in static and dynamic s...
We present Affect2MM, a learning method for time-series emotion predicti...
We present Text2Gestures, a transformer-based learning method to
interac...
We present a novel redirected walking controller based on alignment that...
We present EWareNet, a novel intent-aware social robot navigation algori...
A key aspect of driving a road vehicle is to interact with the other roa...
We present ABC-Net, a novel semi-supervised multimodal GAN framework to
...
Amodal recognition is the ability of the system to detect occluded objec...
Studies have shown that autonomous vehicles (AVs) behave conservatively ...
Humans are known to construct cognitive maps of their everyday surroundi...
We present a novel autoregression network to generate virtual agents tha...
We present a novel generalized zero-shot algorithm to recognize perceive...
We present a learning-based multimodal method for detecting real and dee...
We present EmotiCon, a learning-based algorithm for context-aware percei...
We present a new measure, CMetric, to classify driver behaviors using
ce...
We present ProxEmo, a novel end-to-end emotion prediction algorithm for
...
We present a data-driven deep neural algorithm for detecting deceptive
w...
We present a novel approach for traffic forecasting in urban traffic
sce...
We present an autoencoder-based semi-supervised approach to classify
per...
We present M3ER, a learning-based method for emotion recognition from
mu...
We present a novel classifier network called STEP, to classify perceived...
We present a novel algorithm (GraphRQI) to identify driver behaviors fro...
We present RobustTP, an end-to-end algorithm for predicting future
traje...
We present a novel, real-time algorithm, EVA, for generating virtual age...
We present a new approach for improving the friendliness and warmth of a...
We present a realtime tracking algorithm, RoadTrack, to track heterogene...
We present an algorithm to track traffic agents in dense videos. Our app...
We present a pedestrian tracking algorithm, DensePeds, that tracks
indiv...
We present a new data-driven model and algorithm to identify the perceiv...
We present a real-time algorithm for emotion-aware navigation of a robot...
We present a data-driven algorithm for generating gaits of virtual chara...