We present an approach to ensure safe and deadlock-free navigation for
d...
A major challenge to deploying robots widely is navigation in human-popu...
This paper presents a fully decentralized approach for realtime
non-coop...
Navigating safely and efficiently in dense and heterogeneous traffic
sce...
We present SocialGym 2, a multi-agent navigation simulator for social ro...
We propose an extension to the MAPF formulation, called SocialMAPF, to
a...
We present a computational approach for estimating emotion contagion on
...
We present a novel approach for risk-aware planning with human agents in...
We propose GameOpt: a novel hybrid approach to cooperative intersection
...
Studies have shown that autonomous vehicles (AVs) behave conservatively ...
We present a new and complex traffic dataset, METEOR, which captures tra...
We present a new method for multi-agent planning involving human drivers...
We present a novel architecture for 3D object detection, M3DeTR, which
c...
We present a new learning-based method for identifying safe and navigabl...
Studies have shown that autonomous vehicles (AVs) behave conservatively ...
We present a novel learning algorithm for action prediction and local
na...
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 DenseCAvoid, a novel navigation algorithm for navigating a ro...
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 algorithm for predicting the near-term trajectories of
...
We propose a recurrent variational auto-encoder for texture synthesis. A...
Phase retrieval deals with the estimation of complex-valued signals sole...
"Phase retrieval" refers to the recovery of signals from the magnitudes ...