David Jacobs

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All published works

Action	Title	Year	Authors
+ PDF Chat	ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning	2024	David Junhao Zhang Roni Paiss Shiran Zada Nikhil Karnad David Jacobs Yael Pritch Inbar Mosseri Mike Zheng Shou Neal Wadhwa Nataniel Ruiz
+ PDF Chat	RealFill: Reference-Driven Generation for Authentic Image Completion	2024	Luming Tang Nataniel Ruiz Qinghao Chu Yuanzhen Li Aleksander Holynski David Jacobs Bharath Hariharan Yael Pritch Neal Wadhwa Kfir Aberman
+ PDF Chat	GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering	2024	Jiaye Wu Saeed Hadadan Geng Lin Matthias Zwicker David Jacobs Roni Sengupta
+ PDF Chat	Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation	2023	Jiaye Wu Sanjoy Chowdhury Hariharmano Shanmugaraja David Jacobs Soumyadip Sengupta
+ PDF Chat	Computational Long Exposure Mobile Photography	2023	Eric Tabellion Nikhil Karnad Noa Glaser Ben Weiss David Jacobs Yael Pritch
+	Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation	2023	Jiaye Wu Sanjoy Chowdhury Hariharmano Shanmugaraja David Jacobs Soumyadip Sengupta
+	Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach	2023	Phillip E. Pope David Jacobs
+ PDF Chat	Poisons that are learned faster are more effective	2022	Pedro Sandoval-Segura Vasu Singla Liam Fowl Jonas Geiping Micah Goldblum David Jacobs Tom Goldstein
+	Object-Aware Cropping for Self-Supervised Learning	2021	Shlok Mishra Anshul Shah Ankan Bansal Abhyuday Jagannatha Abhishek Sharma David Jacobs Dilip Krishnan
+ PDF Chat	Maneuver Identification Challenge	2021	Kaira Samuel Vijay Gadepally David Jacobs Michael Jones Kyle McAlpin Kyle Palko Ben Paulk Sid Samsi Ho Chit Siu Charles Yee
+	Maneuver Identification Challenge	2021	Kaira Samuel Vijay Gadepally David Jacobs Michael Jones Kyle McAlpin Kyle Palko Ben Paulk Sid Samsi Ho Chit Siu Charles Yee
+	Shift Invariance Can Reduce Adversarial Robustness	2021	Songwei Ge Vasu Singla Ronen Basri David Jacobs
+	Low Curvature Activations Reduce Overfitting in Adversarial Training	2021	Vasu Singla Sahil Singla Soheil Feizi David Jacobs
+	Robust Contrastive Learning Using Negative Samples with Diminished Semantics	2021	Songwei Ge Shlok Mishra Haohan Wang Chun‐Liang Li David Jacobs
+	SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation	2020	Koutilya Pnvr Hao Zhou David Jacobs
+ PDF Chat	SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation	2020	P. N. V. R. Koutilya Hao Zhou David Jacobs
+	Adversarially robust transfer learning	2020	Ali Shafahi Parsa Saadatpanah Chen Zhu Amin Ghiasi Christoph Studer David Jacobs Tom Goldstein
+	Frequency Bias in Neural Networks for Input of Non-Uniform Density	2020	Ronen Basri Meirav Galun Amnon Geifman David Jacobs Yoni Kasten Shira Kritchman
+	On the Similarity between the Laplace and Neural Tangent Kernels	2020	Amnon Geifman Abhay Kumar Yadav Yoni Kasten Meirav Galun David Jacobs Ronen Basri
+	On the Similarity between the Laplace and Neural Tangent Kernels	2020	Amnon Geifman Abhay Kumar Yadav Yoni Kasten Meirav Galun David Jacobs Ronen Basri
+ PDF Chat	Neural Inverse Rendering of an Indoor Scene From a Single Image	2019	Soumyadip Sengupta Jinwei Gu Kihwan Kim Guilin Liu David Jacobs Jan Kautz
+	The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies	2019	Ronen Basri David Jacobs Yoni Kasten Shira Kritchman
+	Adversarially robust transfer learning	2019	Ali Shafahi Parsa Saadatpanah Chen Zhu Amin Ghiasi Christoph Studer David Jacobs Tom Goldstein
+	The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies	2019	Ronen Basri David Jacobs Yoni Kasten Shira Kritchman
+	Stabilizing Adversarial Nets With Prediction Methods	2017	Abhay Kumar Yadav Sohil Shah Zheng Xu David Jacobs Tom Goldstein
+	Biconvex Relaxation for Semidefinite Programming in Computer Vision	2016	Sohil Shah Abhay Kumar Carlos Castillo David Jacobs Christoph Studer Tom Goldstein
+ PDF Chat	Learning 3D Deformation of Animals from 2D Images	2016	Angjoo Kanazawa Shahar Z. Kovalsky Ronen Basri David Jacobs
+	Efficient Representation of Low-Dimensional Manifolds using Deep Networks	2016	Ronen Basri David Jacobs
+	A Hyperelastic Two-Scale Optimization Model for Shape Matching	2015	Konrad Simon Sameer Sheorey David Jacobs Ronen Basri
+ PDF Chat	What Makes Viewpoint Invariant Properties Perceptually Salient?: A Computational Perspective	2000	David Jacobs
+	Determining the similarity of deformable shapes	1998	Ronen Basri Luiz Costa Davi Geiger David Jacobs

Common Coauthors

Coauthor	Papers Together
Ronen Basri	10
Tom Goldstein	5
Yoni Kasten	5
Amnon Geifman	3
Meirav Galun	3
Christoph Studer	3
Vasu Singla	3
Soumyadip Sengupta	3
Yael Pritch	3
Shira Kritchman	3
Abhay Kumar Yadav	3
Jiaye Wu	3
Chen Zhu	2
Hao Zhou	2
Shlok Mishra	2
Ben Paulk	2
Michael Jones	2
Nataniel Ruiz	2
Ali Shafahi	2
Kyle McAlpin	2
Jeremy Kepner	2
Nikhil Karnad	2
Charles Yee	2
Kaira Samuel	2
Amin Ghiasi	2
Ho Chit Siu	2
Vijay Gadepally	2
Kyle Palko	2
Sid Samsi	2
Neal Wadhwa	2
Songwei Ge	2
Hariharmano Shanmugaraja	2
Parsa Saadatpanah	2
Sanjoy Chowdhury	2
Koutilya Pnvr	1
Abhay Kumar	1
Yuanzhen Li	1
P. N. V. R. Koutilya	1
Jinwei Gu	1
Kihwan Kim	1
Guilin Liu	1
Bharath Hariharan	1
Zheng Xu	1
Haohan Wang	1
Luiz Costa	1
Sohil Shah	1
Roni Sengupta	1
Chun‐Liang Li	1
Dilip Krishnan	1
Carlos Castillo	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	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	4
+	Neural Tangent Kernel: Convergence and Generalization in Neural Networks	2018	Arthur Paul Jacot Franck Gabriel Clément Hongler	3
+ PDF Chat	Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture	2015	David Eigen Rob Fergus	3
+	On Exact Computation with an Infinitely Wide Neural Net	2019	Sanjeev Arora Simon S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang	3
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	3
+	The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies	2019	Ronen Basri David Jacobs Yoni Kasten Shira Kritchman	3
+ PDF Chat	On the Inductive Bias of Neural Tangent Kernels	2019	Alberto Bietti Julien Mairal	3
+	Adversarial Machine Learning at Scale	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	3
+	Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks	2019	Sanjeev Arora Simon S. Du Wei Hu Zhiyuan Li Ruosong Wang	3
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	3
+	A Convergence Theory for Deep Learning via Over-Parameterization	2018	Zeyuan Allen-Zhu Yuanzhi Li Zhao Song	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ PDF Chat	Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks	2020	Zhi-Qin John Xu Zhi-Qin John Xu Yaoyu Zhang Yaoyu Zhang T. Luo Yanyang Xiao Zheng Ma Zheng	2
+ PDF Chat	CGIntrinsics: Better Intrinsic Image Decomposition Through Physically-Based Rendering	2018	Zhengqi Li Noah Snavely	2
+ PDF Chat	Is Robustness the Cost of Accuracy? – A Comprehensive Study on the Robustness of 18 Deep Image Classification Models	2018	Dong Su Huan Zhang Hongge Chen Jinfeng Yi Pin‐Yu Chen Yupeng Gao	2
+	Robustness May Be at Odds with Accuracy	2018	Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Mądry	2
+	Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue	2016	Ravi Garg Vijay Kumar Bg Gustavo Carneiro Ian Reid	2
+ PDF Chat	Streaming graph challenge: Stochastic block partition	2017	Edward K. Kao Vijay Gadepally M. Hurley Michael Jones Jeremy Kepner Sanjeev Mohindra Paul Monticciolo Albert Reuther Siddharth Samsi William Song	2
+	Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation	2018	Dan Xu Wei Wang Hao Tang Hong Liu Nicu Sebe Elisa Ricci	2
+ PDF Chat	Neural Face Editing with Intrinsic Image Disentangling	2017	Zhixin Shu Ersin Yumer Sunil Hadap Kalyan Sunkavalli Eli Shechtman Dimitris Samaras	2
+ PDF Chat	Learning Depth From Single Images With Deep Neural Network Embedding Focal Length	2018	Lei He Guanghui Wang Zhanyi Hu	2
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	T$$^2$$Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks	2018	Chuanxia Zheng Tat‐Jen Cham Jianfei Cai	2
+ PDF Chat	Deep learning for detecting robotic grasps	2015	Ian Lenz Honglak Lee Ashutosh Saxena	2
+ PDF Chat	Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions	2018	Matteo Poggi Fabio Tosi Stefano Mattoccia	2
+ PDF Chat	Semi-Supervised Deep Learning for Monocular Depth Map Prediction	2017	Yevhen Kuznietsov Jörg Stückler Bastian Leibe	2
+	Research and Simulation Implementation of Airplane Target Typical Motion Model	2013	Chu Wei Lili Liu	2
+	Diverse Neural Network Learns True Target Functions	2016	Bo Xie Yingyu Liang Le Song	2
+	Theoretically Principled Trade-off between Robustness and Accuracy	2019	Hongyang Zhang Yaodong Yu Jiantao Jiao Eric P. Xing Laurent El Ghaoui Michael I. Jordan	2
+ PDF Chat	Nonlinear 3D Face Morphable Model	2018	Luan Tran Xiaoming Liu	2
+	Unsupervised Cross-Domain Image Generation	2016	Yaniv Taigman Adam Polyak Lior Wolf	2
+ PDF Chat	Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition	2015	Tinghui Zhou Philipp Krähenbühl Alexei A. Efros	2
+ PDF Chat	Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields	2015	Fayao Liu Chunhua Shen Guosheng Lin Ian Reid	2
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	2
+ PDF Chat	Generalized Deep Image to Image Regression	2017	Venkataraman Santhanam Vlad I. Morariu Larry S. Davis	2
+	Learning without Forgetting	2017	Zhizhong Li Derek Hoiem	2
+ PDF Chat	Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling	2014	Kevin Karsch Ce Liu Sing Bing Kang	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+ PDF Chat	Reflectance Adaptive Filtering Improves Intrinsic Image Estimation	2017	Thomas Nestmeyer Peter Gehler	2
+ PDF Chat	Enabling on-demand database computing with MIT SuperCloud database management system	2015	Andrew Prout Jeremy Kepner Peter Michaleas William Arcand David Bestor Bill Bergeron Chansup Byun Lauren Edwards Vijay Gadepally Matthew Hubbell	2
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	2
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	2
+ PDF Chat	Shape, Illumination, and Reflectance from Shading	2014	Jonathan T. Barron Jitendra Malik	2
+ PDF Chat	Big data dimensional analysis	2014	Vijay Gadepally Jeremy Kepner	2
+	Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples	2018	Anish Athalye Nicholas Carlini David Wagner	2
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	2
+ PDF Chat	Unsupervised Training for 3D Morphable Model Regression	2018	Kyle Genova Forrester Cole Aaron Maschinot Aaron Sarna Daniel Vlasic William T. Freeman	2
+ PDF Chat	Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis	2018	Albert Reuther Jeremy Kepner Chansup Byun Siddharth Samsi William Arcand David Bestor Bill Bergeron Vijay Gadepally Michael E. Houle Matthew Hubbell	2
+ PDF Chat	Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression	2015	Takuya Narihira Michael Maire Stella X. Yu	2