Uwe Franke

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning Stixel-based Instance Segmentation	2021	Monty Santarossa Lukas Schneider Claudius Zelenka Lars Schmarje Reinhard Koch Uwe Franke
+	Learning Stixel-based Instance Segmentation	2021	Monty Santarossa Lukas Schneider Claudius Zelenka Lars Schmarje Reinhard Koch Uwe Franke
+	Learning Stixel-based Instance Segmentation	2021	Monty Santarossa Lukas Schneider Claudius Zelenka Lars Schmarje Reinhard Koch Uwe Franke
+	Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection.	2020	Nils Gählert Nicolas Jourdan Marius Cordts Uwe Franke Joachim Denzler
+	Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes	2020	Nils Gählert Niklas Hanselmann Uwe Franke Joachim Denzler
+	Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time	2020	Nils Gählert Jun-Jun Wan Nicolas Jourdan Jan Finkbeiner Uwe Franke Joachim Denzler
+	Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection	2020	Nils Gählert Nicolas Jourdan Marius Cordts Uwe Franke Joachim Denzler
+ PDF Chat	Slanted Stixels: A Way to Represent Steep Streets	2019	Daniel Hernandez-Juarez Lukas Schneider Pau Cebrian Antonio Espinosa David Vázquez Antonio M. López Uwe Franke Marc Pollefeys Juan Carlos Moure
+	Sparsity Invariant CNNs	2017	Jonas Uhrig Nick Schneider Lukas Schneider Uwe Franke Thomas Brox Andreas Geiger
+	Slanted Stixels: Representing San Francisco's Steepest Streets	2017	Daniel Hernandez-Juarez Lukas Schneider Antonio Espinosa David Vázquez Antonio M. López Uwe Franke Marc Pollefeys Juan Carlos Moure
+	RegNet: Multimodal Sensor Registration Using Deep Neural Networks	2017	Nick Schneider Florian Piewak Christoph Stiller Uwe Franke
+ PDF Chat	Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling	2017	Sebastian Ramos Stefan Gehrig Peter Pinggera Uwe Franke Carsten Rother
+ PDF Chat	RegNet: Multimodal sensor registration using deep neural networks	2017	Nick Schneider Florian Piewak Christoph Stiller Uwe Franke
+ PDF Chat	The Stixel World: A medium-level representation of traffic scenes	2017	Marius Cordts Timo Rehfeld Lukas Schneider David Pfeiffer Markus Enzweiler Stefan Roth Marc Pollefeys Uwe Franke
+	Slanted Stixels: Representing San Francisco's Steepest Streets	2017	Daniel Hernandez-Juarez Lukas Schneider Antonio Espinosa Juan Carlos Moure David Vázquez Antonio M. López Uwe Franke Marc Pollefeys
+	Sparsity Invariant CNNs	2017	Jonas Uhrig Nick Schneider Lukas Schneider Uwe Franke Thomas Brox Andreas Geiger
+	RegNet: Multimodal Sensor Registration Using Deep Neural Networks	2017	Nick Schneider Florian Piewak Christoph Stiller Uwe Franke
+	Slanted Stixels: Representing San Francisco's Steepest Streets	2017	Daniel Hernandez-Juarez Lukas Schneider Antonio Espinosa David Vázquez Antonio M. López Uwe Franke Marc Pollefeys Juan Carlos Moure
+	Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling	2016	Sebastian Ramos Stefan Gehrig Peter Pinggera Uwe Franke Carsten Rother
+ PDF Chat	Lost and Found: detecting small road hazards for self-driving vehicles	2016	Peter Pinggera Sebastian Ramos Stefan Gehrig Uwe Franke Carsten Rother Rudolf Mester
+	Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles	2016	Peter Pinggera Sebastian Ramos Stefan Gehrig Uwe Franke Carsten Rother Rudolf Mester
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele
+	Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling	2016	Jonas Uhrig Marius Cordts Uwe Franke Thomas Brox
+	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele
+ PDF Chat	Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling	2016	Jonas Uhrig Marius Cordts Uwe Franke Thomas Brox
+ PDF Chat	Semantically Guided Depth Upsampling	2016	Nick Schneider Lukas Schneider Peter Pinggera Uwe Franke Marc Pollefeys Christoph Stiller
+	Semantically Guided Depth Upsampling	2016	Nick Schneider Lukas Schneider Peter Pinggera Uwe Franke Marc Pollefeys Christoph Stiller
+	Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles	2016	Peter Pinggera Sebastián Ramos Stefan Gehrig Uwe Franke Carsten Rother Rudolf Mester
+	Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling	2016	Sebastián Ramos Stefan Gehrig Peter Pinggera Uwe Franke Carsten Rother
+	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastián Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele
+	Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling	2016	Jonas Uhrig Marius Cordts Uwe Franke Thomas Brox

Common Coauthors

Coauthor	Papers Together
Lukas Schneider	12
Marius Cordts	9
Peter Pinggera	8
Nick Schneider	7
Marc Pollefeys	7
Stefan Gehrig	6
Carsten Rother	6
Sebastian Ramos	6
Thomas Brox	5
Jonas Uhrig	5
Christoph Stiller	5
Nils Gählert	4
Daniel Hernandez-Juarez	4
Antonio Espinosa	4
Timo Rehfeld	4
Antonio M. López	4
Stefan Roth	4
Markus Enzweiler	4
Juan Carlos Moure	4
Joachim Denzler	4
Rodrigo Benenson	3
David Vázquez	3
Sebastián Ramos	3
Lars Schmarje	3
Reinhard Koch	3
Claudius Zelenka	3
Rudolf Mester	3
Bernt Schiele	3
Florian Piewak	3
Monty Santarossa	3
Andreas Geiger	2
Mohamed Omran	2
Nicolas Jourdan	2
Niklas Hanselmann	1
David Vázquez	1
Mohamed Omran	1
Nicolas Jourdan	1
Jan Finkbeiner	1
Jun-Jun Wan	1
David Pfeiffer	1
Pau Cebrian	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	8
+	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	6
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	6
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	4
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	4
+	Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs	2014	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	4
+ PDF Chat	Conditional Random Fields as Recurrent Neural Networks	2015	Shuai Zheng Sadeep Jayasumana Bernardino Romera‐Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip H. S. Torr	4
+ PDF Chat	The Stixel World: A medium-level representation of traffic scenes	2017	Marius Cordts Timo Rehfeld Lukas Schneider David Pfeiffer Markus Enzweiler Stefan Roth Marc Pollefeys Uwe Franke	3
+ PDF Chat	Semantic Image Segmentation via Deep Parsing Network	2015	Ziwei Liu Xiaoxiao Li Ping Luo Chen Change Loy Xiaoou Tang	3
+ PDF Chat	Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors	2017	Jonathan Huang Vivek Rathod Chen Sun Menglong Zhu Anoop Korattikara Alireza Fathi Ian Fischer Zbigniew Wojna Yang Song Sergio Guadarrama	3
+ PDF Chat	Hypercolumns for object segmentation and fine-grained localization	2015	Bharath Hariharan Pablo Arbeláez Ross Girshick Jitendra Malik	3
+ PDF Chat	Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation	2016	Guosheng Lin Chunhua Shen Anton van den Hengel Ian Reid	3
+ PDF Chat	Frustum PointNets for 3D Object Detection from RGB-D Data	2018	Charles R. Qi Wei Liu Chenxia Wu Hao Su Leonidas Guibas	3
+	Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing	2018	Magnus Wrenninge Jonas Unger	3
+	ParseNet: Looking Wider to See Better	2015	Wei Liu Andrew Rabinovich Alexander C. Berg	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	2
+ PDF Chat	ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape	2019	Fabian Manhardt Wadim Kehl Adrien Gaidon	2
+	Volumetric and Multi-View CNNs for Object Classification on 3D Data	2016	Charles R. Qi Hao Su Matthias Nießner Angela Dai Mengyuan Yan Leonidas Guibas	2
+ PDF Chat	UPSNet: A Unified Panoptic Segmentation Network	2019	Yuwen Xiong Renjie Liao Hengshuang Zhao Rui Hu Min Bai Ersin Yumer Raquel Urtasun	2
+ PDF Chat	Deep Snake for Real-Time Instance Segmentation	2020	Sida Peng Wen Jiang Huaijin Pi Xiuli Li Hujun Bao Xiaowei Zhou	2
+ PDF Chat	SEGCloud: Semantic Segmentation of 3D Point Clouds	2017	Lyne P. Tchapmi Christopher Choy Iro Armeni JunYoung Gwak Silvio Savarese	2
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2015	Vijay Badrinarayanan Alex Kendall Roberto Cipolla	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Deep hierarchical parsing for semantic segmentation	2015	Abhishek Sharma Oncel Tuzel David W. Jacobs	2
+	Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds	2019	Bo Yang Jianan Wang Ronald Clark Qingyong Hu Sen Wang Andrew Markham Niki Trigoni	2
+ PDF Chat	What Makes for Effective Detection Proposals?	2015	Jan Hosang Rodrigo Benenson Piotr Dollár Bernt Schiele	2
+	Fully Connected Deep Structured Networks	2015	Alexander G. Schwing Raquel Urtasun	2
+ PDF Chat	GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud	2019	Li Yi Wang Zhao He Wang Minhyuk Sung Leonidas Guibas	2
+ PDF Chat	Convolutional feature masking for joint object and stuff segmentation	2015	Jifeng Dai Kaiming He Jian Sun	2
+	ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes	2017	Angela Dai Anne Lynn S. Chang Manolis Savva Maciej Halber Thomas Funkhouser Matthias Nießner	2
+	YOLOv3: An Incremental Improvement.	2018	Joseph Redmon Ali Farhadi	2
+	BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.	2018	Fisher Yu Wenqi Xian Yingying Chen Fangchen Liu Mike Liao Vashisht Madhavan Trevor Darrell	2
+	Multi-Scale Context Aggregation by Dilated Convolutions	2015	Fisher Yu Vladlen Koltun	2
+ PDF Chat	DeMoN: Depth and Motion Network for Learning Monocular Stereo	2017	Benjamin Ummenhofer Huizhong Zhou Jonas Uhrig N. Michael Mayer Eddy Ilg Alexey Dosovitskiy Thomas Brox	2
+ PDF Chat	STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation	2016	Yunchao Wei Xiaodan Liang Yunpeng Chen Xiaohui Shen Ming‐Ming Cheng Jiashi Feng Yao Zhao Shuicheng Yan	2
+ PDF Chat	Feedforward semantic segmentation with zoom-out features	2015	Mohammadreza Mostajabi Payman Yadollahpour Gregory Shakhnarovich	2
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	2
+ PDF Chat	Monocular Object Instance Segmentation and Depth Ordering with CNNs	2015	Ziyu Zhang Alexander G. Schwing Sanja Fidler Raquel Urtasun	2
+	Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation	2015	George Papandreou Liang-Chieh Chen Kevin Murphy Alan Yuille	2
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+	Semantic Image Segmentation via Deep Parsing Network	2015	Ziwei Liu Xiaoxiao Li Ping Luo Chen Change Loy Xiaoou Tang	2
+ PDF Chat	OctNet: Learning Deep 3D Representations at High Resolutions	2017	Gernot Riegler Ali Osman Ulusoy Andreas Geiger	2
+ PDF Chat	Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction	2019	Jason S. Ku Alex D. Pon Steven L. Waslander	2
+ PDF Chat	3D Bounding Box Estimation Using Deep Learning and Geometry	2017	Arsalan Mousavian Dragomir Anguelov John P. Flynn Jana Košecká	2
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas	2
+	Path Aggregation Network for Instance Segmentation	2018	Shu Liu Lu Qi Haifang Qin Jianping Shi Jiaya Jia	2
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	2
+	Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	2017	Alex Kendall Vijay Badrinarayanan Roberto Cipolla	1
+ PDF Chat	Multi-modal sensor registration for vehicle perception via deep neural networks	2015	Michael Giering Vivek Venugopalan Kishore Reddy	1