research
∙
06/11/2021
Survey of Image Based Graph Neural Networks
In this survey paper, we analyze image based graph neural networks and p...
share
research
∙
04/29/2021
Maneuver-Aware Pooling for Vehicle Trajectory Prediction
Autonomous vehicles should be able to predict the future states of its e...
research
∙
04/22/2021
Maneuver-based Anchor Trajectory Hypotheses at Roundabouts
Predicting future behavior of the surrounding vehicles is crucial for se...
research
∙
04/04/2021
Decentralized Statistical Inference with Unrolled Graph Neural Networks
In this paper, we investigate the decentralized statistical inference pr...
research
∙
03/30/2021
Data-Driven Optimization for Police Zone Design
We present a data-driven optimization framework for redesigning police p...
research
∙
03/19/2021
HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction
Character rigging is universally needed in computer graphics but notorio...
research
∙
03/16/2021
Formation Control for UAVs Using a Flux Guided Approach
While multiple studies have proposed methods for the formation control o...
research
∙
03/10/2021
S3: Side-Channel Attack on Stylus Pencil through Sensors
With smart devices being an essential part of our everyday lives, unsupe...
research
∙
03/09/2021
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
Action recognition has been heavily employed in many applications such a...
research
∙
03/09/2021
BASAR:Black-box Attack on Skeletal Action Recognition
Skeletal motion plays a vital role in human activity recognition as eith...
research
∙
02/19/2021
High-order Differentiable Autoencoder for Nonlinear Model Reduction
This paper provides a new avenue for exploiting deep neural networks to ...
research
∙
01/21/2021
MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) estimates the underlying tissu...
research
∙
07/22/2020
FASTSWARM: A Data-driven FrAmework for Real-time Flying InSecT SWARM Simulation
Insect swarms are common phenomena in nature and therefore have been act...
research
∙
06/14/2020
Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data
The scarcity of class-labeled data is a ubiquitous bottleneck in a wide ...
research
∙
04/29/2020
Informative Scene Decomposition for Crowd Analysis, Comparison and Simulation Guidance
Crowd simulation is a central topic in several fields including graphics...
research
∙
04/20/2020
Data-Driven Optimization for Police Beat Design in South Fulton, Georgia
We redesign the police patrol beat in South Fulton, Georgia, in collabor...
research
∙
04/15/2020
MeshingNet: A New Mesh Generation Method based on Deep Learning
We introduce a novel approach to automatic unstructured mesh generation ...
research
∙
02/28/2020
Human-like Planning for Reaching in Cluttered Environments
Humans, in comparison to robots, are remarkably adept at reaching for ob...
research
∙
02/28/2020
Introducing a Human-like Planner for Reaching in Cluttered Environments
Humans, in comparison to robots, are remarkably adept at reaching for ob...
research
∙
11/16/2019
SMART: Skeletal Motion Action Recognition aTtack
Adversarial attack has inspired great interest in computer vision, by sh...
research
∙
08/20/2019
Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling
Data-driven modeling of human motions is ubiquitous in computer graphics...
research
∙
07/17/2019
Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs
We study the problem of repeated play in a zero-sum game in which the pa...
research
∙
05/25/2019
Large Scale Markov Decision Processes with Changing Rewards
We consider Markov Decision Processes (MDPs) where the rewards are unkno...
research
∙
04/23/2019
DADA-2000: Can Driving Accident be Predicted by Driver Attention? Analyzed by A Benchmark
Driver attention prediction is currently becoming the focus in safe driv...
research
∙
10/11/2018
Globally Continuous and Non-Markovian Activity Analysis from Videos
Automatically recognizing activities in video is a classic problem in vi...
research
∙
07/26/2018
Novelty Detection Meets Collider Physics
Novelty detection is the machine learning task to recognize data, which ...
research
∙
06/21/2018