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Journal Articles
- 2022
[j3]Samarjit Chakraborty, Qing Rao:
Introduction to the Special Issue on Embedded Systems for Computer Vision. Leibniz Trans. Embed. Syst. 8(1): 00:1-00:8 (2022)- 2021
- [j2]Qing Rao
, Samarjit Chakraborty:
In-Vehicle Object-Level 3D Reconstruction of Traffic Scenes. IEEE Trans. Intell. Transp. Syst. 22(12): 7747-7759 (2021) - 2019
- [j1]Qing Rao, Samarjit Chakraborty:
Efficient lossless compression for depth information in traffic scenarios. Multim. Syst. 25(4): 293-306 (2019)
Conference and Workshop Papers
- 2021
- [c14]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: 463-470 - 2020
- [c13]Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker:
deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions. ITSC 2020: 1-8 - [c12]Philipp Martinek, Gheorghe Pucea, Qing Rao, Udhayaraj Sivalingam:
Lidar-based Deep Neural Network for Reference Lane Generation. IV 2020: 89-94 - [c11]Sebastian Schmidt, Qing Rao, Julian Tatsch, Alois C. Knoll:
Advanced Active Learning Strategies for Object Detection. IV 2020: 871-876 - 2019
- [c10]Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker:
LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images. IROS 2019: 7762-7769 - [c9]Nick Engelhardt, Rodrigo Pérez, Qing Rao:
Occupancy Grids Generation Using Deep Radar Network for Autonomous Driving. ITSC 2019: 2866-2871 - 2018
- [c8]Qing Rao, Jelena Frtunikj:
Deep Learning for Self-Driving Cars: Chances and Challenges. SEFAIAS@ICSE 2018: 35-38 - 2016
- [c7]Qing Rao, Lars Krüger, Klaus Dietmayer:
3D Shape Reconstruction in Traffic Scenarios Using Monocular Camera and Lidar. ACCV Workshops (2) 2016: 3-18 - [c6]Markus Braun, Qing Rao, Yikang Wang, Fabian Flohr:
Pose-RCNN: Joint object detection and pose estimation using 3D object proposals. ITSC 2016: 1546-1551 - [c5]Qing Rao, Lars Krüger, Klaus Dietmayer:
Monocular 3D shape reconstruction using deep neural networks. Intelligent Vehicles Symposium 2016: 310-315 - 2014
- [c4]Qing Rao, Christian Grünler, Markus Hammori, Samarjit Chakraborty:
Design Methods for Augmented Reality In-Vehicle Infotainment Systems. DAC 2014: 72:1-72:6 - [c3]Qing Rao, Tobias Tropper, Christian Grünler, Markus Hammori, Samarjit Chakraborty:
AR-IVI - Implementation of In-Vehicle Augmented Reality. ISMAR 2014: 3-8 - [c2]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: 568-579 - 2012
- [c1]Nicolas Alt, Werner Maier, Qing Rao, Eckehard G. Steinbach:
Semantic Interpretation of Novelty in Images Using Histograms of Oriented Gradients. ICIRA (3) 2012: 427-436
Informal and Other Publications
- 2021
- [i2]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 abs/2105.10697 (2021) - 2019
- [i1]Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker:
LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images. CoRR abs/1910.14453 (2019)
Coauthor Index
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