Qing Rao

According to our database, Qing Rao authored at least 17 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Introduction to the Special Issue on Embedded Systems for Computer Vision.

Samarjit Chakraborty, Qing Rao

Leibniz Trans. Embed. Syst., 2022

2021

In-Vehicle Object-Level 3D Reconstruction of Traffic Scenes.

Qing Rao, Samarjit Chakraborty

IEEE Trans. Intell. Transp. Syst., 2021

ADNet: Attention-Guided Deformable Convolutional Network for High Dynamic Range Imaging.

Zhen Liu, Wenjie Lin, Xinpeng Li, Qing Rao, Ting Jiang, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Advanced Active Learning Strategies for Object Detection.

Sebastian Schmidt, Qing Rao, Julian Tatsch, Alois C. Knoll

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Lidar-based Deep Neural Network for Reference Lane Generation.

Philipp Martinek, Gheorghe Pucea, Qing Rao, Udhayaraj Sivalingam

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions.

Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Efficient lossless compression for depth information in traffic scenarios.

Qing Rao, Samarjit Chakraborty

Multim. Syst., 2019

Occupancy Grids Generation Using Deep Radar Network for Autonomous Driving.

Nick Engelhardt, Rodrigo Pérez, Qing Rao

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images.

Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Deep Learning for Self-Driving Cars: Chances and Challenges.

Qing Rao, Jelena Frtunikj

Proceedings of the 1st IEEE/ACM International Workshop on Software Engineering for AI in Autonomous Systems, 2018

2016

Monocular 3D shape reconstruction using deep neural networks.

Qing Rao, Lars Krüger, Klaus Dietmayer

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Pose-RCNN: Joint object detection and pose estimation using 3D object proposals.

Markus Braun, Qing Rao, Yikang Wang, Fabian Flohr

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

3D Shape Reconstruction in Traffic Scenarios Using Monocular Camera and Lidar.

Qing Rao, Lars Krüger, Klaus Dietmayer

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2014

Stixel on the Bus: An Efficient Lossless Compression Scheme for Depth Information in Traffic Scenarios.

Qing Rao, Christian Grünler, Markus Hammori, Samarjit Chakraborty

Proceedings of the MultiMedia Modeling - 20th Anniversary International Conference, 2014

AR-IVI - Implementation of In-Vehicle Augmented Reality.

Qing Rao, Tobias Tropper, Christian Grünler, Markus Hammori, Samarjit Chakraborty

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2014

Design Methods for Augmented Reality In-Vehicle Infotainment Systems.

Qing Rao, Christian Grünler, Markus Hammori, Samarjit Chakraborty

Proceedings of the 51st Annual Design Automation Conference 2014, 2014

2012

Semantic Interpretation of Novelty in Images Using Histograms of Oriented Gradients.

Nicolas Alt, Werner Maier, Qing Rao, Eckehard G. Steinbach

Proceedings of the Intelligent Robotics and Applications - 5th International Conference, 2012