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01/09/2023
Deep Planar Parallax for Monocular Depth Estimation
Depth estimation is a fundamental problem in the perception system of au...
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07/22/2022
Robust and Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics
Stability and safety are critical properties for successful deployment o...
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01/27/2022
Prediction of GPU Failures Under Deep Learning Workloads
Graphics processing units (GPUs) are the de facto standard for processin...
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12/09/2021
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics
Safe autonomous navigation in unknown environments is an important probl...
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11/18/2021
SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
3D multi-object tracking (MOT) has witnessed numerous novel benchmarks a...
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09/18/2021
Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem
Multi-Instance GPU (MIG) is a new feature introduced by NVIDIA A100 GPUs...
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06/24/2021
Comparison between safety methods control barrier function vs. reachability analysis
This report aims to compare two safety methods: control barrier function...
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05/25/2021
Unsupervised Scale-consistent Depth Learning from Video
We propose a monocular depth estimator SC-Depth, which requires only unl...
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03/29/2021
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
LiDAR-based 3D detection in point cloud is essential in the perception s...
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03/10/2021
Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences
Estimating the states of surrounding traffic participants stays at the c...
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05/14/2020
Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor
This paper considers the problem of safe autonomous navigation in unknow...
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04/08/2020
DMLO: Deep Matching LiDAR Odometry
LiDAR odometry is a fundamental task for various areas such as robotics,...
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02/05/2020
Fast and Safe Path-Following Control using a State-Dependent Directional Metric
This paper considers the problem of fast and safe autonomous navigation ...
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08/28/2019
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Recent work has shown that CNN-based depth and ego-motion estimators can...
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07/12/2019
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing
In this paper, we propose a novel network design mechanism for efficient...
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04/16/2018
BigDL: A Distributed Deep Learning Framework for Big Data
In this paper, we present BigDL, a distributed deep learning framework f...
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07/14/2017
Temporal Modeling Approaches for Large-scale Youtube-8M Video Understanding
This paper describes our solution for the video recognition task of the ...
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03/30/2017