Simon Korman

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All published works

Action	Title	Year	Authors
+ PDF Chat	Unsupervised Representation Learning by Balanced Self Attention Matching	2024	Daniel Shalam Simon Korman
+ PDF Chat	The Balanced-Pairwise-Affinities Feature Transform	2024	Daniel Shalam Simon Korman
+ PDF Chat	Generative adversarial networks via a composite annealing of noise and diffusion	2023	Kensuke Nakamura Simon Korman Byung‐Woo Hong
+ PDF Chat	SeaThru-NeRF: Neural Radiance Fields in Scattering Media	2023	Deborah L. Levy Amit Peleg Naama Pearl Dan Rosenbaum Derya Akkaynak Simon Korman Tali Treibitz
+	SeaThru-NeRF: Neural Radiance Fields in Scattering Media	2023	Deborah L. Levy Amit Peleg Naama Pearl Dan Rosenbaum Derya Akkaynak Simon Korman Tali Treibitz
+ PDF Chat	NAN: Noise-Aware NeRFs for Burst-Denoising	2022	Naama Pearl Tali Treibitz Simon Korman
+	NAN: Noise-Aware NeRFs for Burst-Denoising	2022	Naama Pearl Tali Treibitz Simon Korman
+	The Self-Optimal-Transport Feature Transform	2022	Daniel Shalam Simon Korman
+	Generative Adversarial Networks via a Composite Annealing of Noise and Diffusion	2021	Kensuke Nakamura Simon Korman Byung‐Woo Hong
+ PDF Chat	OATM: Occlusion Aware Template Matching by Consensus Set Maximization	2018	Simon Korman Stefano Soatto Mark B. Milam
+	OATM: Occlusion Aware Template Matching by Consensus Set Maximization	2018	Simon Korman Mark B. Milam Stefano Soatto
+	Latent RANSAC	2018	Simon Korman Roee Litman
+	OATM: Occlusion Aware Template Matching by Consensus Set Maximization	2018	Simon Korman Mark B. Milam Stefano Soatto
+	Latent RANSAC	2018	Simon Korman Roee Litman
+	Testing Pattern-Freeness.	2016	Simon Korman Daniel Reichman
+	Deleting and Testing Forbidden Patterns in Multi-Dimensional Arrays	2016	Omri Ben‐Eliezer Simon Korman Daniel Reichman
+ PDF Chat	Probably Approximately Symmetric: Fast Rigid Symmetry Detection With Global Guarantees	2014	Simon Korman Roee Litman Shai Avidan Alex Bronstein
+	Tight Approximation of Image Matching	2011	Simon Korman Daniel Reichman Gilad Tsur
+	Tight Approximation of Image Matching	2011	Simon Korman Daniel Reichman Gilad Tsur

Common Coauthors

Coauthor	Papers Together
Tali Treibitz	4
Daniel Reichman	4
Naama Pearl	4
Stefano Soatto	3
Mark B. Milam	3
Roee Litman	3
Daniel Shalam	3
Deborah L. Levy	2
Derya Akkaynak	2
Dan Rosenbaum	2
Amit Peleg	2
Gilad Tsur	2
Byung‐Woo Hong	2
Shai Avidan	1
Omri Ben‐Eliezer	1
Kensuke Nakamura	1
Kensuke Nakamura	1
Alex Bronstein	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Deep Image Homography Estimation	2016	Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich	3
+ PDF Chat	Template Matching with Deformable Diversity Similarity	2017	Itamar Talmi Roey Mechrez Lihi Zelnik‐Manor	2
+ PDF Chat	State of the Art on Neural Rendering	2020	Ayush Tewari Ohad Fried Justus Thies Vincent Sitzmann Stephen Lombardi Kalyan Sunkavalli Ricardo Martin-Brualla Tomas Simon Jason Saragih Matthias Nießner	2
+ PDF Chat	NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis	2020	Ben Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron Ravi Ramamoorthi Ren Ng	2
+ PDF Chat	NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images	2022	Ben Mildenhall Peter Hedman Ricardo Martin-Brualla Pratul P. Srinivasan Jonathan T. Barron	2
+ PDF Chat	NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections	2021	Ricardo Martin-Brualla Noha Radwan Mehdi S. M. Sajjadi Jonathan T. Barron Alexey Dosovitskiy Daniel Duckworth	2
+	Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection	2017	Pierre Baqué François Fleuret Pascal Fua	1
+ PDF Chat	Generative adversarial network in medical imaging: A review	2019	Yi Xin Ekta Walia Paul Babyn	1
+	Proceedings of the 25th international conference on Machine learning	2008	William W. Cohen Andrew McCallum Sam T. Roweis	1
+	Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines	2019	Ben Mildenhall Pratul P. Srinivasan Rodrigo Ortiz-Cayon Nima Khademi Kalantari Ravi Ramamoorthi Ren Ng Abhishek Kar	1
+ PDF Chat	Self-Supervised GANs via Auxiliary Rotation Loss	2019	Ting Chen Xiaohua Zhai Marvin Ritter Mario Lučić Neil Houlsby	1
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	1
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	1
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	1
+	ANSAC: Adaptive Non-Minimal Sample and Consensus	2017	Victor Fragoso Christopher J. Sweeney Pradeep Sen Matthew Turk	1
+ PDF Chat	Burst Denoising with Kernel Prediction Networks	2018	Ben Mildenhall Jonathan T. Barron Jiawen Chen Dillon Sharlet Ren Ng Robert E. Carroll	1
+	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	2016	Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel	1
+	Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model	2018	Ty Nguyen Steven W. Chen Shreyas S. Shivakumar Camillo J. Taylor Vijay Kumar	1
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	1
+ PDF Chat	Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence	2017	Dylan Campbell Lars Petersson Laurent Kneip Hongdong Li	1
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	1
+ PDF Chat	HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors	2017	Vassileios Balntas Karel Lenc Andrea Vedaldi Krystian Mikolajczyk	1
+ PDF Chat	Iterative Residual CNNs for Burst Photography Applications	2019	Filippos Kokkinos Stamatis Lefkimmiatis	1
+ PDF Chat	Haze visibility enhancement: A Survey and quantitative benchmarking	2017	Yu Li Shaodi You Michael S. Brown Robby T. Tan	1
+ PDF Chat	PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume	2018	Deqing Sun Xiaodong Yang Ming-Yu Liu Jan Kautz	1
+ PDF Chat	Deep Occlusion Reasoning for Multi-camera Multi-target Detection	2017	Pierre Baqué François Fleuret Pascal Fua	1
+ PDF Chat	StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks	2017	Han Zhang Tao Xu Hongsheng Li Shaoting Zhang Xiaogang Wang Xiaolei Huang Dimitris Metaxas	1
+ PDF Chat	MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation	2017	Junhwa Hur Stefan Roth	1
+ PDF Chat	On Stabilizing Generative Adversarial Training With Noise	2019	Simon Jenni Paolo Favaro	1
+ PDF Chat	Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation	2019	Christos Sakaridis Dengxin Dai Luc Van Gool	1
+ PDF Chat	Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset	2020	Dana Berman Deborah L. Levy Shai Avidan Tali Treibitz	1
+	Training Generative Adversarial Networks with Limited Data	2020	Tero Karras Miika Aittala Janne Hellsten Samuli Laine Jaakko Lehtinen Timo Aila	1
+ PDF Chat	MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks	2020	Animesh Karnewar Oliver Wang	1
+ PDF Chat	Basis Prediction Networks for Effective Burst Denoising With Large Kernels	2020	Zhihao Xia Federico Perazzi Michaël Gharbi Kalyan Sunkavalli Ayan Chakrabarti	1
+ PDF Chat	Diving deeper into underwater image enhancement: A survey	2020	Saeed Anwar Chongyi Li	1
+ PDF Chat	DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement	2020	Mohamed Ali Souibgui Yousri Kessentini	1
+	Differentiable Augmentation for Data-Efficient GAN Training	2020	Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han	1
+ PDF Chat	Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent	2020	Dong Wang Xiaoqian Qin Fengyi Song Li Cheng	1
+ PDF Chat	On Data Augmentation for GAN Training	2021	Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Trung‐Kien Nguyen Ngai‐Man Cheung	1
+ PDF Chat	PlenOctrees for Real-time Rendering of Neural Radiance Fields	2021	Alex Yu Ruilong Li Matthew Tancik Hao Li Ren Ng Angjoo Kanazawa	1
+	Understanding deep learning requires rethinking generalization	2016	Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals	1
+ PDF Chat	D-NeRF: Neural Radiance Fields for Dynamic Scenes	2021	Albert Pumarola Enric Corona Gerard Pons‐Moll Francesc Moreno-Noguer	1
+ PDF Chat	A survey on text generation using generative adversarial networks	2021	Gustavo Henrique de Rosa João Paulo Papa	1
+ PDF Chat	Underwater Image Restoration via Contrastive Learning and a Real-World Dataset	2022	Junlin Han Mehrdad Shoeiby Tim Malthus Elizabeth Botha Janet Anstee Saeed Anwar Ran Wei Mohammad Ali Armin Hongdong Li Lars Petersson	1
+ PDF Chat	GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields	2021	Michael Niemeyer Andreas Geiger	1
+ PDF Chat	pixelNeRF: Neural Radiance Fields from One or Few Images	2021	Alex Yu Vickie Ye Matthew Tancik Angjoo Kanazawa	1
+ PDF Chat	Advances in neural rendering	2021	Ayush Tewari Ohad Fried Justus Thies Vincent Sitzmann Stephen Lombardi Zifeng Xu Tomas Simon Matthias Nießner Edgar Tretschk L. Liu	1
+ PDF Chat	IBRNet: Learning Multi-View Image-Based Rendering	2021	Qianqian Wang Zhicheng Wang Kyle Genova Pratul P. Srinivasan Howard Zhou Jonathan T. Barron Ricardo Martin-Brualla Noah Snavely Thomas Funkhouser	1
+ PDF Chat	Deep Reparametrization of Multi-Frame Super-Resolution and Denoising	2021	Goutam Bhat Martin Danelljan Fisher Yu Luc Van Gool Radu Timofte	1
+ PDF Chat	Neural Radiance Flow for 4D View Synthesis and Video Processing	2021	Yilun Du Yinan Zhang Hong-Xing Yu Joshua B. Tenenbaum Jiajun Wu	1