Shannon, in his seminal paper introducing information theory, divided th...
We present DanceAnyWay, a hierarchical generative adversarial learning m...
We present a generative adversarial network to synthesize 3D pose sequen...
We present Text2Gestures, a transformer-based learning method to
interac...
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 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 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 an accurate, robust and fast method for registration of 3D sc...
We present a new algorithm for predicting the near-term trajectories of
...