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Qing Rao
ORCID
Publication Activity (10 Years)
Years Active: 2012-2022
Publications (10 Years): 15
Top Topics
Scene Flow Estimation
Object Detection
Convolutional Network
Stereo Vision
Top Venues
ITSC
CoRR
IV
ISMAR
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Publications
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Samarjit Chakraborty
,
Qing Rao
Introduction to the Special Issue on Embedded Systems for Computer Vision.
Leibniz Trans. Embed. Syst.
8 (1) (2022)
Zhen Liu
,
Wenjie Lin
,
Xinpeng Li
,
Qing Rao
,
Ting Jiang
,
Mingyan Han
,
Haoqiang Fan
,
Jian Sun
,
Shuaicheng Liu
ADNet: Attention-Guided Deformable Convolutional Network for High Dynamic Range Imaging.
CVPR Workshops
(2021)
Zhen Liu
,
Wenjie Lin
,
Xinpeng Li
,
Qing Rao
,
Ting Jiang
,
Mingyan Han
,
Haoqiang Fan
,
Jian Sun
,
Shuaicheng Liu
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging.
CoRR
(2021)
Qing Rao
,
Samarjit Chakraborty
In-Vehicle Object-Level 3D Reconstruction of Traffic Scenes.
IEEE Trans. Intell. Transp. Syst.
22 (12) (2021)
Sebastian Schmidt
,
Qing Rao
,
Julian Tatsch
,
Alois C. Knoll
Advanced Active Learning Strategies for Object Detection.
IV
(2020)
Philipp Martinek
,
Gheorghe Pucea
,
Qing Rao
,
Udhayaraj Sivalingam
Lidar-based Deep Neural Network for Reference Lane Generation.
IV
(2020)
Ramy Battrawy
,
René Schuster
,
Oliver Wasenmüller
,
Qing Rao
,
Didier Stricker
deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions.
ITSC
(2020)
Ramy Battrawy
,
René Schuster
,
Oliver Wasenmüller
,
Qing Rao
,
Didier Stricker
LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images.
CoRR
(2019)
Qing Rao
,
Samarjit Chakraborty
Efficient lossless compression for depth information in traffic scenarios.
Multim. Syst.
25 (4) (2019)
Nick Engelhardt
,
Rodrigo Pérez
,
Qing Rao
Occupancy Grids Generation Using Deep Radar Network for Autonomous Driving.
ITSC
(2019)
Ramy Battrawy
,
René Schuster
,
Oliver Wasenmüller
,
Qing Rao
,
Didier Stricker
LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images.
IROS
(2019)
Qing Rao
,
Jelena Frtunikj
Deep Learning for Self-Driving Cars: Chances and Challenges.
SEFAIAS@ICSE
(2018)
Qing Rao
,
Lars Krüger
,
Klaus Dietmayer
3D Shape Reconstruction in Traffic Scenarios Using Monocular Camera and Lidar.
ACCV Workshops (2)
(2016)
Qing Rao
,
Lars Krüger
,
Klaus Dietmayer
Monocular 3D shape reconstruction using deep neural networks.
Intelligent Vehicles Symposium
(2016)
Markus Braun
,
Qing Rao
,
Yikang Wang
,
Fabian Flohr
Pose-RCNN: Joint object detection and pose estimation using 3D object proposals.
ITSC
(2016)
Qing Rao
,
Tobias Tropper
,
Christian Grünler
,
Markus Hammori
,
Samarjit Chakraborty
AR-IVI - Implementation of In-Vehicle Augmented Reality.
ISMAR
(2014)
Qing Rao
,
Christian Grünler
,
Markus Hammori
,
Samarjit Chakraborty
Stixel on the Bus: An Efficient Lossless Compression Scheme for Depth Information in Traffic Scenarios.
MMM (1)
(2014)
Qing Rao
,
Christian Grünler
,
Markus Hammori
,
Samarjit Chakraborty
Design Methods for Augmented Reality In-Vehicle Infotainment Systems.
DAC
(2014)
Nicolas Alt
,
Werner Maier
,
Qing Rao
,
Eckehard G. Steinbach
Semantic Interpretation of Novelty in Images Using Histograms of Oriented Gradients.
ICIRA (3)
(2012)