Anselm Paulus

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	LPGD: A General Framework for Backpropagation through Embedded Optimization Layers	2024	Anselm Paulus Georg Martius Vít Musil
+	Backpropagation through Combinatorial Algorithms: Identity with Projection Works	2022	Subham Sekhar Sahoo Anselm Paulus Marin Vlastelica Vít Musil Volodymyr Kuleshov Georg Martius
+	CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints	2021	Anselm Paulus Michal Rolínek Vít Musil Brandon Amos Georg Martius
+ PDF Chat	Optimizing Rank-Based Metrics With Blackbox Differentiation	2020	Michal Rolínek Vít Musil Anselm Paulus Marin Vlastelica Claudio Michaelis Georg Martius
+ PDF Chat	Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers	2020	Michal Rolínek Paul Swoboda Dominik Zietlow Anselm Paulus Vít Musil Georg Martius
+	Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers	2020	Michal Rolínek Paul Swoboda Dominik Zietlow Anselm Paulus Vít Musil Georg Martius
+	Differentiation of Blackbox Combinatorial Solvers	2019	Marin Vlastelica Anselm Paulus Vít Musil Georg Martius Michal Rolínek
+	Differentiation of Blackbox Combinatorial Solvers	2019	Marin Vlastelica Anselm Paulus Vít Musil Georg Martius Michal Rolínek
+	Optimizing Rank-based Metrics with Blackbox Differentiation	2019	Michal Rolínek Vít Musil Anselm Paulus Marin Vlastelica Claudio Michaelis Georg Martius

Common Coauthors

Coauthor	Papers Together
Georg Martius	9
Vít Musil	9
Michal Rolínek	7
Marin Vlastelica	5
Paul Swoboda	2
Dominik Zietlow	2
Claudio Michaelis	2
Subham Sekhar Sahoo	1
Volodymyr Kuleshov	1
Brandon Amos	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	Efficient Optimization for Rank-Based Loss Functions	2018	Pritish Mohapatra Michal Rolínek C. V. Jawahar Vladimir Kolmogorov Manish Kumar	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+	Gated Graph Sequence Neural Networks	2015	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel	3
+	Exact Combinatorial Optimization with Graph Convolutional Neural Networks	2019	Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi	3
+	Differentiation of Blackbox Combinatorial Solvers	2019	Marin Vlastelica Anselm Paulus Vít Musil Georg Martius Michal Rolínek	3
+	Neural Combinatorial Optimization with Reinforcement Learning	2017	Irwan Bello Hieu Pham Quoc V. Le Mohammad Norouzi Samy Bengio	3
+ PDF Chat	FaceNet: A unified embedding for face recognition and clustering	2015	Florian Schroff Dmitry Kalenichenko James Philbin	3
+	Training Deep Neural Networks via Direct Loss Minimization	2015	Yang Song Alexander G. Schwing Richard S. Zemel Raquel Urtasun	2
+ PDF Chat	End-to-End Training of Object Class Detectors for Mean Average Precision	2017	Paul Henderson Vittorio Ferrari	2
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	2
+ PDF Chat	Hard-Aware Deeply Cascaded Embedding	2017	Yuhui Yuan Kuiyuan Yang Chao Zhang	2
+ PDF Chat	End-to-End Training of Hybrid CNN-CRF Models for Stereo	2017	Patrick Knöbelreiter Christian Reinbacher Alexander Shekhovtsov Thomas Pock	2
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	2
+	A Survey on Metric Learning for Feature Vectors and Structured Data	2013	Aurélien Bellet Amaury Habrard Marc Sebban	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	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	2
+	Learning Deep Structured Models	2014	Liang-Chieh Chen Alexander G. Schwing Alan Yuille Raquel Urtasun	2
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	2
+ PDF Chat	DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation	2016	Leonid Pishchulin Eldar Insafutdinov Siyu Tang Bjoern Andres Mykhaylo Andriluka Peter Gehler Bernt Schiele	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
+	OptNet: Differentiable Optimization as a Layer in Neural Networks	2017	Brandon Amos J. Zico Kolter	2
+ PDF Chat	Deep Direct Regression for Multi-oriented Scene Text Detection	2017	Wenhao He Xu-Yao Zhang Fei Yin Cheng‐Lin Liu	2
+ PDF Chat	No Fuss Distance Metric Learning Using Proxies	2017	Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh	2
+ PDF Chat	Smart Mining for Deep Metric Learning	2017	Ben Harwood Vijay Kumar B G Gustavo Carneiro Ian Reid Tom Drummond	2
+ PDF Chat	Deep Metric Learning via Facility Location	2017	Hyun Oh Song Stefanie Jegelka Vivek Rathod Kevin Murphy	2
+ PDF Chat	RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials	2018	Despoina Paschalidou Ali Osman Ulusoy Carolin Schmitt Luc Van Gool Andreas Geiger	2
+ PDF Chat	Focal Loss for Dense Object Detection	2018	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	2
+ PDF Chat	Deep Randomized Ensembles for Metric Learning	2018	Hong Xuan Richard Souvenir Robert Pless	2
+ PDF Chat	Deep Metric Learning with Hierarchical Triplet Loss	2018	Weifeng Ge Weilin Huang Dengke Dong Matthew R. Scott	2
+ PDF Chat	Guiding High-Performance SAT Solvers with Unsat-Core Predictions	2019	Daniel Selsam Nikolaj Bjørner	2
+ PDF Chat	Attention-Based Ensemble for Deep Metric Learning	2018	Wonsik Kim Bhavya Goyal Kunal Chawla Jung-Min Lee Keunjoo Kwon	2
+ 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	2
+ PDF Chat	Deep Metric Learning via Lifted Structured Feature Embedding	2016	Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese	2
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	2
+ PDF Chat	Semantic Image Segmentation via Deep Parsing Network	2015	Ziwei Liu Xiaoxiao Li Ping Luo Chen Change Loy Xiaoou Tang	2
+ PDF Chat	Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly	2018	Michael Opitz Georg Waltner Horst Possegger Horst Bischof	2
+ PDF Chat	Local Descriptors Optimized for Average Precision	2018	Kun He Yan Lu Stan Sclaroff	2
+ PDF Chat	Hashing as Tie-Aware Learning to Rank	2018	Kun He Fatih Çakir Sarah Adel Bargal Stan Sclaroff	2
+ PDF Chat	Sampling Matters in Deep Embedding Learning	2017	Chao-Yuan Wu R. Manmatha Alexander J. Smola Philipp Krähenbühl	2
+ PDF Chat	Deep Metric Learning Using Triplet Network	2015	Elad Hoffer Nir Ailon	2
+ PDF Chat	Single-Shot Refinement Neural Network for Object Detection	2018	Shifeng Zhang Longyin Wen Xiao Bian Zhen Lei Stan Z. Li	2
+ PDF Chat	Deep Network Flow for Multi-object Tracking	2017	Samuel Schulter Paul Vernaza Wongun Choi Manmohan Chandraker	2
+ PDF Chat	Deep Metric Learning with Angular Loss	2017	Jian Wang Feng Zhou Shilei Wen Xiao Liu Yuanqing Lin	2
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	2
+ PDF Chat	NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection	2019	Golnaz Ghiasi Tsung-Yi Lin Quoc V. Le	2
+ PDF Chat	Towards Accurate One-Stage Object Detection With AP-Loss	2019	Kean Chen Jianguo Li Weiyao Lin John See Ji Wang Ling‐Yu Duan Zhibo Chen Changwei He Junni Zou	2
+ PDF Chat	Precise Detection in Densely Packed Scenes	2019	Eran Goldman Roei Herzig Aviv Eisenschtat Jacob Goldberger Tal Hassner	2
+ PDF Chat	Beyond Gradient Descent for Regularized Segmentation Losses	2019	Dmitrii Marin Meng Tang Ismail Ben Ayed Yuri Boykov	2
+ PDF Chat	SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates	2019	Martin Engilberge Louis Chevallier Patrick Pérez Matthieu Cord	2