Fabian Timm

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All published works

Action	Title	Year	Authors
+ PDF Chat	Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving	2021	Thomas Michalke Colin Wüst Di Feng Maxim Dolgov Claudius Gläser Fabian Timm
+ PDF Chat	Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection	2021	Di Feng Zining Wang Yiyang Zhou Lars Rosenbaum Fabian Timm Klaus Dietmayer Masayoshi Tomizuka Wei Zhan
+ PDF Chat	DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections	2021	Michael Ulrich Claudius Gläser Fabian Timm
+ PDF Chat	Holistic Filter Pruning for Efficient Deep Neural Networks	2021	Lukas Enderich Fabian Timm Wolfram Burgard
+ PDF Chat	Inferring Spatial Uncertainty in Object Detection	2020	Zining Wang Di Feng Yiyang Zhou Lars Rosenbaum Fabian Timm Klaus Dietmayer Masayoshi Tomizuka Wei Zhan
+	DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections	2020	Michael Ulrich Claudius Gläser Fabian Timm
+ PDF Chat	Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving	2020	Di Feng Yifan Cao Lars Rosenbaum Fabian Timm Klaus Dietmayer
+	Holistic Filter Pruning for Efficient Deep Neural Networks.	2020	Lukas Enderich Fabian Timm Wolfram Burgard
+	Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving.	2020	Thomas Michalke Colin Wüst Di Feng Claudius Gläser Maxim Dolgov Fabian Timm
+	Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving	2020	Thomas Michalke Di Feng Claudius Gläser Fabian Timm
+ PDF Chat	SYMOG: Learning symmetric mixture of Gaussian modes for improved fixed-point quantization	2020	Lukas Enderich Fabian Timm Wolfram Burgard
+ PDF Chat	Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges	2020	Di Feng Christian Schütz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Timm W. Wiesbeck Klaus Dietmayer
+	Inferring Spatial Uncertainty in Object Detection	2020	Zining Wang Di Feng Yiyang Zhou Lars Rosenbaum Fabian Timm Klaus Dietmayer Masayoshi Tomizuka Wei Zhan
+	Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty	2020	Di Feng Lars Rosenbaum Fabian Timm Klaus Dietmayer
+	Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection	2020	Di Feng Zining Wang Yiyang Zhou Lars Rosenbaum Fabian Timm Klaus Dietmayer Masayoshi Tomizuka Wei Zhan
+	Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving	2020	Di Feng Yifan Cao Lars Rosenbaum Fabian Timm Klaus Dietmayer
+	DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections	2020	Michaël Ulrich Claudius Gläser Fabian Timm
+	Holistic Filter Pruning for Efficient Deep Neural Networks	2020	Lukas Enderich Fabian Timm Wolfram Burgard
+	Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving	2020	Thomas Michalke Di Feng Claudius Gläser Fabian Timm
+	Learning Multimodal Fixed-Point Weights using Gradient Descent	2019	Lukas Enderich Fabian Timm Lars Rosenbaum Wolfram Burgard
+ PDF Chat	Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection	2019	Di Feng Lars Rosenbaum Fabian Timm Klaus Dietmayer
+	Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving	2019	Di Feng Lars Rosenbaum Claudius Gläser Fabian Timm Klaus Dietmayer
+	Learning Multimodal Fixed-Point Weights using Gradient Descent	2019	Lukas Enderich Fabian Timm Lars Rosenbaum Wolfram Burgard
+	Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection	2018	Di Feng Lars Rosenbaum Fabian Timm Klaus Dietmayer

Common Coauthors

Coauthor	Papers Together
Di Feng	14
Lars Rosenbaum	13
Klaus Dietmayer	11
Claudius Gläser	9
Wolfram Burgard	6
Lukas Enderich	6
Yiyang Zhou	4
Masayoshi Tomizuka	4
Thomas Michalke	4
Wei Zhan	4
Zining Wang	3
Colin Wüst	2
Michael Ulrich	2
Yifan Cao	2
Maxim Dolgov	2
Christian Schütz	1
Di Feng	1
Michaël Ulrich	1
W. Wiesbeck	1
Zining Wang	1
Heinz Hertlein	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection	2019	Di Feng Lars Rosenbaum Fabian Timm Klaus Dietmayer	9
+ PDF Chat	Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection	2018	Di Feng Lars Rosenbaum Klaus Dietmayer	9
+ PDF Chat	PIXOR: Real-time 3D Object Detection from Point Clouds	2018	Bin Yang Wenjie Luo Raquel Urtasun	9
+ PDF Chat	Dropout Sampling for Robust Object Detection in Open-Set Conditions	2018	Dimity Miller Lachlan Nicholson Feras Dayoub Niko Sünderhauf	7
+ PDF Chat	Joint 3D Proposal Generation and Object Detection from View Aggregation	2018	Jason S. Ku Melissa Mozifian Jungwook Lee Ali Harakeh Steven L. Waslander	7
+ PDF Chat	BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors	2020	Ali Harakeh Michael Smart Steven L. Waslander	6
+ PDF Chat	nuScenes: A Multimodal Dataset for Autonomous Driving	2020	Holger Caesar Varun Bankiti Alex Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yu Pan Giancarlo Baldan Oscar Beijbom	6
+	Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving	2019	Di Feng Lars Rosenbaum Claudius Gläser Fabian Timm Klaus Dietmayer	6
+ PDF Chat	LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving	2019	Gregory P. Meyer Ankit Laddha Eric Kee Carlos Vallespi-Gonzalez Carl Wellington	6
+ PDF Chat	VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection	2018	Yin Zhou Oncel Tuzel	6
+ PDF Chat	Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection	2019	Dimity Miller Feras Dayoub Michael Milford Niko Sünderhauf	5
+ PDF Chat	Multi-view 3D Object Detection Network for Autonomous Driving	2017	Xiaozhi Chen Huimin Ma Ji Wan Bo Li Tian Xia	5
+	Learning Multimodal Fixed-Point Weights using Gradient Descent	2019	Lukas Enderich Fabian Timm Lars Rosenbaum Wolfram Burgard	5
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	5
+ PDF Chat	Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector	2019	Di Feng Wei Xiao Lars Rosenbaum Atsuto Maki Klaus Dietmayer	5
+ PDF Chat	Capturing Object Detection Uncertainty in Multi-Layer Grid Maps	2019	Sascha Wirges Marcel Reith‐Braun Martin Lauer Christoph Stiller	5
+ PDF Chat	Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges	2020	Di Feng Christian Schütz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Timm W. Wiesbeck Klaus Dietmayer	5
+ PDF Chat	PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud	2019	Shaoshuai Shi Xiaogang Wang Hongsheng Li	4
+ PDF Chat	Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression	2019	Hamid Rezatofighi Nathan Tsoi JunYoung Gwak Amir Sadeghian Ian Reid Silvio Savarese	4
+	Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights	2017	Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen	4
+ PDF Chat	Bounding Box Regression With Uncertainty for Accurate Object Detection	2019	Yihui He Chenchen Zhu Jianren Wang Marios Savvides Xiangyu Zhang	4
+ PDF Chat	IoU Loss for 2D/3D Object Detection	2019	Dingfu Zhou Jin Fang Xibin Song Chenye Guan Junbo Yin Yuchao Dai Ruigang Yang	4
+ PDF Chat	Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression	2020	Zhaohui Zheng Ping Wang Wei Liu Jinze Li Rongguang Ye Dongwei Ren	4
+ PDF Chat	Localization Recall Precision (LRP): A New Performance Metric for Object Detection	2018	Kemal Öksüz Barış Can Çam Emre Akbaş Sinan Kalkan	4
+ PDF Chat	Acquisition of Localization Confidence for Accurate Object Detection	2018	Borui Jiang Ruixuan Luo Jiayuan Mao Tete Xiao Yuning Jiang	4
+ PDF Chat	STD: Sparse-to-Dense 3D Object Detector for Point Cloud	2019	Zetong Yang Yanan Sun Shu Liu Xiaoyong Shen Jiaya Jia	4
+ PDF Chat	Efficient Processing of Deep Neural Networks: A Tutorial and Survey	2017	Vivienne Sze Yu‐Hsin Chen Tien-Ju Yang Joel Emer	4
+ PDF Chat	Tracking Multiple Vehicles Using a Variational Radar Model	2018	Alexander Scheel Klaus Dietmayer	4
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	4
+ PDF Chat	Maximally Consistent Sampling and the Jaccard Index of Probability Distributions	2018	Ryan Moulton Yunjiang Jiang	3
+ PDF Chat	Probabilistic Object Detection: Definition and Evaluation	2020	David Hall Feras Dayoub John Skinner Haoyang Zhang Dimity Miller Peter Corke Gustavo Carneiro Anelia Angelova Niko Sünderhauf	3
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	3
+	Variational Inference: A Review for Statisticians	2017	David M. Blei Alp Kucukelbir Jon McAuliffe	3
+	Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art	2020	Joel Janai Fatma Güney Aseem Behl Andreas Geiger	3
+ PDF Chat	Real time detection of lane markers in urban streets	2008	Mohamed Aly	3
+ PDF Chat	Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving	2019	Ji-Woong Choi Dayoung Chun Hyun Kim Hyuk‐Jae Lee	3
+ PDF Chat	Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles	2020	Hujie Pan Zining Wang Wei Zhan Masayoshi Tomizuka	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	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
+ PDF Chat	Learning an Uncertainty-Aware Object Detector for Autonomous Driving	2020	Gregory P. Meyer Niranjan Thakurdesai	3
+	Dynamic Network Surgery for Efficient DNNs	2016	Yiwen Guo Anbang Yao Yurong Chen	2
+	Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures	2016	Hengyuan Hu Rui Tao Peng Yu‐Wing Tai Chi-Keung Tang	2
+	DropNeuron: Simplifying the Structure of Deep Neural Networks	2016	Wei Pan Hao Dong Yike Guo	2
+	Vehicle Detection from 3D Lidar Using Fully Convolutional Network	2016	Bo Li Tianlei Zhang Tian Xia	2
+ PDF Chat	NISP: Pruning Networks Using Neuron Importance Score Propagation	2018	Ruichi Yu Ang Li Chun-Fu Chen Jui-Hsin Lai Vlad I. Morariu Xintong Han Mingfei Gao Ching‐Yung Lin Larry S. Davis	2
+ PDF Chat	PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation	2018	Danfei Xu Dragomir Anguelov Ashesh Jain	2
+ PDF Chat	SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud	2018	Bichen Wu Alvin Wan Xiangyu Yue Kurt Keutzer	2
+ PDF Chat	Argoverse: 3D Tracking and Forecasting With Rich Maps	2019	Ming-Fang Chang Deva Ramanan James Hays John Lambert Patsorn Sangkloy Jagjeet Singh Sławomir Bąk Andrew T. Hartnett Wang De Peter Carr	2
+ PDF Chat	Fast LIDAR-based road detection using fully convolutional neural networks	2017	Luca Caltagirone Samuel Scheidegger Lennart Svensson Mattias Wahde	2