Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes

4 August 2017

Hassan Abu Alhaija

Siva Karthik Mustikovela

Papers citing "Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes"

22 / 72 papers shown

Title
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 54 83 0 10 Jun 2020
Can Synthetic Data Improve Object Detection Results for Remote Sensing Images? Weixing Liu Jun Liu B. Luo 21 9 0 09 Jun 2020
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data Felix Nobis Fabian Brunhuber Simon Janssen Johannes Betz Markus Lienkamp 3DPC 38 4 0 15 May 2020
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus Florian Kluger Eric Brachmann H. Ackermann Carsten Rother M. Yang Bodo Rosenhahn 46 58 0 08 Jan 2020
A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments using Depth Sensor Data Linh Kästner Vlad Catalin Frasineanu Jens Lambrecht 26 29 0 27 Dec 2019
SENSE: a Shared Encoder Network for Scene-flow Estimation Huaizu Jiang Deqing Sun Varun Jampani Zhaoyang Lv Erik Learned-Miller Jan Kautz 3DPC VOS 27 74 0 27 Oct 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 51 349 0 25 Sep 2019
PST900: RGB-Thermal Calibration, Dataset and Segmentation Network Shreyas S. Shivakumar Neil Rodrigues Alex Zhou Ian D. Miller Vijay Kumar Camillo J Taylor 13 176 0 20 Sep 2019
How much real data do we actually need: Analyzing object detection performance using synthetic and real data F. Nowruzi Prince Kapoor Dhanvin Kolhatkar Fahed Al Hassanat R. Laganière Julien Rebut 36 77 0 16 Jul 2019
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation Tom Bruls Horia Porav Lars Kunze Paul Newman 18 6 0 10 Jul 2019
Exploring Temporal Information for Improved Video Understanding Yi Zhu 25 0 0 25 May 2019
Texture Fields: Learning Texture Representations in Function Space Michael Oechsle L. Mescheder Michael Niemeyer Thilo Strauss Andreas Geiger 3DH 3DV 50 296 0 17 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 34 116 0 10 May 2019
Meta-Sim: Learning to Generate Synthetic Datasets Amlan Kar Aayush Prakash Ming Liu Eric Cameracci Justin Yuan Matt Rusiniak David Acuna Antonio Torralba Sanja Fidler 22 248 0 25 Apr 2019
Learning to Calibrate Straight Lines for Fisheye Image Rectification Zhucun Xue Nan Xue Gui-Song Xia Weiming Shen 33 75 0 22 Apr 2019
Learning Across Tasks and Domains Pierluigi Zama Ramirez A. Tonioni Samuele Salti Luigi Di Stefano 24 32 0 09 Apr 2019
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach Amir Atapour-Abarghouei T. Breckon MDE 33 34 0 26 Mar 2019
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression S. Hamid Rezatofighi Nathan Tsoi JunYoung Gwak Amir Sadeghian Ian Reid Silvio Savarese 74 4,074 0 25 Feb 2019
Improving Semantic Segmentation via Video Propagation and Label Relaxation Yi Zhu Karan Sapra F. Reda Kevin J. Shih Shawn D. Newsam Andrew Tao Bryan Catanzaro 56 382 0 04 Dec 2018
Anytime Stereo Image Depth Estimation on Mobile Devices Yan Wang Zihang Lai Gao Huang Brian H. Wang Laurens van der Maaten M. Campbell Kilian Q. Weinberger 27 184 0 26 Oct 2018
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation Radek Mackowiak Philip Lenz Omair Ghori Ferran Diego O. Lange Carsten Rother 42 108 0 23 Oct 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 29 123 0 10 Sep 2018