Semantic Interpretation of Novelty in Images Using Histograms of Oriented Gradients. - Nicolas Alt; Werner Maier 001; Qing Rao; Eckehard G. Steinbach (ICIRA (3), 2012)

Design Methods for Augmented Reality In-Vehicle Infotainment Systems. - Qing Rao; Christian Grünler; Markus Hammori; Samarjit Chakraborty (DAC, 2014)

AR-IVI - Implementation of In-Vehicle Augmented Reality. - Qing Rao; Tobias Tropper; Christian Grünler; Markus Hammori; Samarjit Chakraborty (ISMAR, 2014)

Stixel on the Bus: An Efficient Lossless Compression Scheme for Depth Information in Traffic Scenarios. - Qing Rao; Christian Grünler; Markus Hammori; Samarjit Chakraborty (MMM (1), 2014)

3D Shape Reconstruction in Traffic Scenarios Using Monocular Camera and Lidar. - Qing Rao; Lars Krüger; Klaus Dietmayer (ACCV Workshops (2), 2016)

Pose-RCNN: Joint object detection and pose estimation using 3D object proposals. - Markus Braun 003; Qing Rao; Yikang Wang; Fabian Flohr (ITSC, 2016)

Monocular 3D shape reconstruction using deep neural networks. - Qing Rao; Lars Krüger; Klaus Dietmayer (Intelligent Vehicles Symposium, 2016)

Deep Learning for Self-Driving Cars: Chances and Challenges. - Qing Rao; Jelena Frtunikj (SEFAIAS@ICSE, 2018)

LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images. - Ramy Battrawy; René Schuster; Oliver Wasenmüller; Qing Rao; Didier Stricker (IROS, 2019)

Occupancy Grids Generation Using Deep Radar Network for Autonomous Driving. - Nick Engelhardt; Rodrigo Pérez; Qing Rao (ITSC, 2019)

Efficient lossless compression for depth information in traffic scenarios. - Qing Rao; Samarjit Chakraborty (Multim. Syst., 2019)

deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions. - Ramy Battrawy; René Schuster; Oliver Wasenmüller; Qing Rao; Didier Stricker (ITSC, 2020)

Lidar-based Deep Neural Network for Reference Lane Generation. - Philipp Martinek; Gheorghe Pucea; Qing Rao; Udhayaraj Sivalingam (IV, 2020)

Advanced Active Learning Strategies for Object Detection. - Sebastian Schmidt 006; Qing Rao; Julian Tatsch; Alois C. Knoll (IV, 2020)

ADNet: Attention-Guided Deformable Convolutional Network for High Dynamic Range Imaging. - Zhen Liu 022; Wenjie Lin; Xinpeng Li 002; Qing Rao; Ting Jiang; Mingyan Han; Haoqiang Fan; Jian Sun 001; Shuaicheng Liu (CVPR Workshops, 2021)

In-Vehicle Object-Level 3D Reconstruction of Traffic Scenes. - Qing Rao; Samarjit Chakraborty (IEEE Trans. Intell. Transp. Syst., 2021)

Introduction to the Special Issue on Embedded Systems for Computer Vision. - Samarjit Chakraborty; Qing Rao (Leibniz Trans. Embed. Syst., 2022)