Maximilian Jaritz

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All published works

Action	Title	Year	Authors
+ PDF Chat	LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts	2024	Anh-Quan Cao Maximilian Jaritz Matthieu Guillaumin Raoul de Charette Loris Bazzani
+ PDF Chat	Cross-Modal Learning for Domain Adaptation in 3D Semantic Segmentation	2022	Maximilian Jaritz Tuan-Hung Vu Raoul de Charette Émilie Wirbel Patrick Pérez
+ PDF Chat	xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation	2020	Maximilian Jaritz Tuan-Hung Vu Raoul de Charette Émilie Wirbel Patrick Pérez
+ PDF Chat	Multi-View PointNet for 3D Scene Understanding	2019	Maximilian Jaritz Jiayuan Gu Hao Su
+	Multi-view PointNet for 3D Scene Understanding	2019	Maximilian Jaritz Jiayuan Gu Hao Su
+	xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation	2019	Maximilian Jaritz Tuan-Hung Vu Raoul de Charette Émilie Wirbel Patrick Pérez
+ PDF Chat	Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation	2018	Maximilian Jaritz Raoul de Charette Émilie Wirbel Xavier Perrotton Fawzi Nashashibi
+	Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation	2018	Maximilian Jaritz Raoul de Charette Émilie Wirbel Xavier Perrotton Fawzi Nashashibi
+ PDF Chat	End-to-End Race Driving with Deep Reinforcement Learning	2018	Maximilian Jaritz Raoul de Charette Marin Toromanoff Etienne Pérot Fawzi Nashashibi
+	Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation	2018	Maximilian Jaritz Raoul de Charette Émilie Wirbel Xavier Perrotton Fawzi Nashashibi

Common Coauthors

Coauthor	Papers Together
Raoul de Charette	8
Émilie Wirbel	6
Fawzi Nashashibi	4
Xavier Perrotton	3
Patrick Pérez	3
Tuan-Hung Vu	3
Hao Su	2
Jiayuan Gu	2
Etienne Pérot	1
Anh-Quan Cao	1
Loris Bazzani	1
Marin Toromanoff	1
Matthieu Guillaumin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	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	3D Semantic Segmentation with Submanifold Sparse Convolutional Networks	2018	Benjamin Graham Martin Engelcke Laurens van der Maaten	4
+ PDF Chat	ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes	2017	Angela Dai Anne Lynn S. Chang Manolis Savva Maciej Halber Thomas Funkhouser Matthias Nießner	4
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas	4
+ PDF Chat	Pyramid Scene Parsing Network	2017	Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia	4
+ PDF Chat	SPLATNet: Sparse Lattice Networks for Point Cloud Processing	2018	Hang Su Varun Jampani Deqing Sun Subhransu Maji Evangelos Kalogerakis Ming–Hsuan Yang Jan Kautz	3
+ PDF Chat	Deep Parametric Continuous Convolutional Neural Networks	2018	Shenlong Wang Simon Su Wei-Chiu Ma Andrei Pokrovsky Raquel Urtasun	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	OctNet: Learning Deep 3D Representations at High Resolutions	2017	Gernot Riegler Ali Osman Ulusoy Andreas Geiger	3
+ PDF Chat	Deep Continuous Fusion for Multi-sensor 3D Object Detection	2018	Ming Liang Bin Yang Shenlong Wang Raquel Urtasun	3
+ PDF Chat	Confidence Regularized Self-Training	2019	Yang Zou Zhiding Yu Xiaofeng Liu B. V. K. Vijaya Kumar Jinsong Wang	2
+ PDF Chat	KPConv: Flexible and Deformable Convolution for Point Clouds	2019	Hugues Thomas Charles R. Qi Jean‐Emmanuel Deschaud Beatriz Marcotegui François Goulette Leonidas Guibas	2
+ PDF Chat	DADA: Depth-Aware Domain Adaptation in Semantic Segmentation	2019	Tuan-Hung Vu Himalaya Jain Maxime Bucher Matthieu Cord Patrick Perez Perez	2
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	2
+ PDF Chat	SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud	2019	Bichen Wu Xuanyu Zhou Sicheng Zhao Xiangyu Yue Kurt Keutzer	2
+ PDF Chat	Bidirectional Learning for Domain Adaptation of Semantic Segmentation	2019	Yunsheng Li Lu Yuan Nuno Vasconcelos	2
+ PDF Chat	SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences	2019	Jens Behley Martin Garbade Andres Milioto Jan Quenzel Sven Behnke Cyrill Stachniss Jürgen Gall	2
+ PDF Chat	SEGCloud: Semantic Segmentation of 3D Point Clouds	2017	Lyne P. Tchapmi Christopher Choy Iro Armeni JunYoung Gwak Silvio Savarese	2
+ PDF Chat	Deeper Depth Prediction with Fully Convolutional Residual Networks	2016	Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab	2
+ PDF Chat	4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks	2019	Christopher Choy JunYoung Gwak Silvio Savarese	2
+ PDF Chat	Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation	2019	Gregory P. Meyer Jake Charland Darshan Hegde Ankit Laddha Carlos Vallespi-Gonzalez	2
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	2
+	Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation	2017	Pietro Morerio Jacopo Cavazza Vittorio Murino	2
+	Rethinking Atrous Convolution for Semantic Image Segmentation	2017	Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam	2
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	2
+ PDF Chat	Unsupervised Monocular Depth Estimation with Left-Right Consistency	2017	Clément Godard Oisin Mac Aodha Gabriel Brostow	2
+ PDF Chat	Dynamic Graph CNN for Learning on Point Clouds	2019	Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma Michael M. Bronstein Justin Solomon	2
+ PDF Chat	SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation	2018	Weiyue Wang Ronald Yu Qiangui Huang Ulrich Neumann	2
+ PDF Chat	Multi-view 3D Object Detection Network for Autonomous Driving	2017	Xiaozhi Chen Huimin Ma Ji Wan Bo Li Tian Xia	2
+	FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation	2016	Judy Hoffman Dequan Wang Fisher Yu Trevor Darrell	2
+ PDF Chat	SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters	2018	Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao	2
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	2
+ PDF Chat	3DMV: Joint 3D-Multi-view Prediction for 3D Semantic Scene Segmentation	2018	Angela Dai Matthias Nießner	2
+ PDF Chat	Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation	2018	Maximilian Jaritz Raoul de Charette Émilie Wirbel Xavier Perrotton Fawzi Nashashibi	2
+ PDF Chat	ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation	2019	Tuan-Hung Vu Himalaya Jain Maxime Bucher Matthieu Cord Patrick Pérez	2
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+	Deep Continuous Fusion for Multi-Sensor 3D Object Detection	2020	Ming Liang Bin Yang Shenlong Wang Raquel Urtasun	2
+ PDF Chat	Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models	2017	Roman Klokov Victor Lempitsky	2
+ 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	2
+	Joint 2D-3D-Semantic Data for Indoor Scene Understanding	2017	Iro Armeni Sasha Sax Amir Zamir Silvio Savarese	2
+	MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation	2019	Chen Liu Yasutaka Furukawa	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Learning Rich Features from RGB-D Images for Object Detection and Segmentation	2014	Saurabh Gupta Ross Girshick Pablo Arbeláez Jitendra Malik	2
+	CyCADA: Cycle-Consistent Adversarial Domain Adaptation	2017	Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell	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
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+ PDF Chat	Multi-Task Multi-Sensor Fusion for 3D Object Detection	2019	Ming Liang Bin Yang Yun Chen Rui Hu Raquel Urtasun	2
+ PDF Chat	Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image	2018	Fangchang Ma Sertaç Karaman	2