Brian Okorn

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All published works

Action	Title	Year	Authors
+ PDF Chat	IFOR: Iterative Flow Minimization for Robotic Object Rearrangement	2022	Ankit Goyal Arsalan Mousavian Chris Paxton Yu-Wei Chao Brian Okorn Jia Deng Dieter Fox
+ PDF Chat	OSSID: Online Self-Supervised Instance Detection by (And For) Pose Estimation	2022	Qiao Gu Brian Okorn David Held
+	IFOR: Iterative Flow Minimization for Robotic Object Rearrangement	2022	Ankit Goyal Arsalan Mousavian Chris Paxton Yu-Wei Chao Brian Okorn Jia Deng Dieter Fox
+	TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation	2022	Chuer Pan Brian Okorn Harry Zhang Ben Eisner David Held
+	Deep Projective Rotation Estimation through Relative Supervision	2022	Brian Okorn Chuer Pan Martial Hebert David Held
+	Self-Supervised Point Cloud Completion via Inpainting	2021	Himangi Mittal Brian Okorn Arpit Jangid David Held
+ PDF Chat	ZePHyR: Zero-shot Pose Hypothesis Rating	2021	Brian Okorn Qiao Gu Martial Hebert David Held
+	ZePHyR: Zero-shot Pose Hypothesis Rating	2021	Brian Okorn Qiao Gu Martial Hebert David Held
+	Self-Supervised Point Cloud Completion via Inpainting	2021	Himangi Mittal Brian Okorn Arpit Jangid David Held
+	ZePHyR: Zero-shot Pose Hypothesis Rating	2021	Brian Okorn Qiao Gu Martial Hebert David Held
+ PDF Chat	Cloth Region Segmentation for Robust Grasp Selection	2020	Jianing Qian Thomas Weng Luxin Zhang Brian Okorn David Held
+ PDF Chat	Learning Orientation Distributions for Object Pose Estimation	2020	Brian Okorn Mengyun Xu Martial Hebert David Held
+ PDF Chat	Just Go With the Flow: Self-Supervised Scene Flow Estimation	2020	Himangi Mittal Brian Okorn David Held
+	Robust Instance Tracking via Uncertainty Flow	2020	Jianing Qian Junyu Nan Siddharth Ancha Brian Okorn David Held
+	ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning	2020	Yufei Wang Gautham Narayan Narasimhan Xingyu Lin Brian Okorn David Held
+	Just Go with the Flow: Self-Supervised Scene Flow Estimation	2019	Himangi Mittal Brian Okorn David Held
+	Just Go with the Flow: Self-Supervised Scene Flow Estimation	2019	Himangi Mittal Brian Okorn David Held

Common Coauthors

Coauthor	Papers Together
David Held	15
Himangi Mittal	5
Martial Hebert	5
Qiao Gu	3
Chris Paxton	2
Jianing Qian	2
Chuer Pan	2
Dieter Fox	2
Ankit Goyal	2
Arsalan Mousavian	2
Arpit Jangid	2
Yu-Wei Chao	2
Siddharth Ancha	1
Gautham Narayan Narasimhan	1
Ben Eisner	1
Mengyun Xu	1
Thomas Weng	1
Yufei Wang	1
Qiao Gu	1
Jia Deng	1
Jia Deng	1
Luxin Zhang	1
Xingyu Lin	1
Harry Zhang	1
Junyu Nan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion	2019	Chen Wang Danfei Xu Yuke Zhu Roberto Martín-Martín Cewu Lu Li Fei-Fei Silvio Savarese	5
+	PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes	2018	Xiang Yu Tanner Schmidt Venkatraman Narayanan Dieter Fox	4
+ PDF Chat	CosyPose: Consistent Multi-view Multi-object 6D Pose Estimation	2020	Yann Labbé Justin Carpentier Mathieu Aubry Josef Šivic	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	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	4
+ PDF Chat	HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds	2019	Xiuye Gu Yijie Wang Chongruo Wu Yong Jae Lee Panqu Wang	3
+ PDF Chat	Photorealistic Image Synthesis for Object Instance Detection	2019	Tomáš Hodaň Vibhav Vineet Ran Gal Emanuel Shalev Jon Hanzelka Treb Connell Pedro Urbina Sudipta N. Sinha Brian Guenter	3
+ PDF Chat	FlowNet3D: Learning Scene Flow in 3D Point Clouds	2019	Xingyu Liu Charles R. Qi Leonidas Guibas	3
+ PDF Chat	LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation	2020	Keunhong Park Arsalan Mousavian Xiang Yu Dieter Fox	3
+ PDF Chat	Multi-Path Learning for Object Pose Estimation Across Domains	2020	Martin Sundermeyer Maximilian Durner En Yen Puang Zoltán-Csaba Márton Narunas Vaškevičius Kai O. Arras Rudolph Triebel	3
+ PDF Chat	DeepIM: Deep Iterative Matching for 6D Pose Estimation	2018	Yi Li Gu Wang Xiangyang Ji Yu Xiang Dieter Fox	3
+ PDF Chat	Learning Robotic Assembly from CAD	2018	Garrett Thomas Melissa Chien Aviv Tamar Juan Aparicio Ojea Pieter Abbeel	3
+ PDF Chat	Deep Lidar CNN to Understand the Dynamics of Moving Vehicles	2018	V. Vaquero Alberto Sanfeliu Francesc Moreno-Noguer	2
+ PDF Chat	Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification	2016	Ishan Misra C. Lawrence Zitnick Martial Hebert	2
+ PDF Chat	KPAM: KeyPoint Affordances for Category-Level Robotic Manipulation	2022	Lucas Manuelli Wei Gao Pete Florence Russ Tedrake	2
+ PDF Chat	Deep Parametric Continuous Convolutional Neural Networks	2018	Shenlong Wang Simon Su Wei-Chiu Ma Andrei Pokrovsky Raquel Urtasun	2
+ PDF Chat	Unsupervised Multi-Task Feature Learning on Point Clouds	2019	Kaveh Hassani Mike Haley	2
+ PDF Chat	Fast Online Object Tracking and Segmentation: A Unifying Approach	2019	Qiang Wang Li Zhang Luca Bertinetto Weiming Hu Philip H. S. Torr	2
+ PDF Chat	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images	2018	Martin Sundermeyer Zoltán-Csaba Márton Maximilian Durner Manuel Brucker Rudolph Triebel	2
+ PDF Chat	BOP: Benchmark for 6D Object Pose Estimation	2018	Tomáš Hodaň Frank Michel Eric Brachmann Wadim Kehl Anders Glent Buch Dirk Kraft Bertram Drost Joel Vidal Stephan Ihrke Xenophon Zabulis	2
+ PDF Chat	Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation	2019	He Wang Srinath Sridhar Jingwei Huang Julien Valentin Shuran Song Leonidas Guibas	2
+	Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors	2020	Lucas Brynte Fredrik Kahl	2
+ PDF Chat	Going Further with Point Pair Features	2016	Stefan Hinterstoißer Vincent Lepetit Naresh Rajkumar Kurt Konolige	2
+	Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects	2018	Jonathan Tremblay Thang To Balakumar Sundaralingam Xiang Yu Dieter Fox Stan Birchfield	2
+ PDF Chat	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation	2016	N. Michael Mayer Eddy Ilg Philip Häusser Philipp Fischer Daniel Cremers Alexey Dosovitskiy Thomas Brox	2
+ PDF Chat	Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation	2019	Kiru Park Timothy Patten Markus Vincze	2
+ PDF Chat	PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds	2019	Aseem Behl Despoina Paschalidou Simon Donné Andreas Geiger	2
+ PDF Chat	Learning Correspondence From the Cycle-Consistency of Time	2019	Xiaolong Wang Allan Jabri Alexei A. Efros	2
+ PDF Chat	Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection	2017	Debidatta Dwibedi Ishan Misra Martial Hebert	2
+ PDF Chat	DSAC — Differentiable RANSAC for Camera Localization	2017	Eric Brachmann Alexander Krull Sebastian Nowozin Jamie Shotton Frank Michel Stefan Gumhold Carsten Rother	2
+ PDF Chat	PERCH: Perception via search for multi-object recognition and localization	2016	Venkatraman Narayanan Maxim Likhachev	2
+	Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects	2019	Yang Xiao Xuchong Qiu Pierre-Alain Langlois Mathieu Aubry Renaud Marlet	2
+ PDF Chat	Unsupervised Learning of Visual Representations Using Videos	2015	Xiaolong Wang Abhinav Gupta	2
+	Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects	2018	Jonathan Tremblay Thang To Balakumar Sundaralingam Yu Xiang Dieter Fox Stan Birchfield	2
+ PDF Chat	Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation	2018	Jonathan Tremblay Thang To Stan Birchfield	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	2017	Eddy Ilg N. Michael Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox	2
+	SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again	2017	Wadim Kehl Fabian Manhardt Federico Tombari Slobodan Ilić Nassir Navab	1
+	Learning Robust Bed Making using Deep Imitation Learning with DART	2017	Michael Laskey Chris Powers Ruta Joshi Arshan Poursohi Ken Goldberg	1
+ PDF Chat	Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking	2016	Martin Danelljan Andreas Robinson Fahad Shahbaz Khan Michael Felsberg	1
+	Asymmetric Actor Critic for Image-Based Robot Learning	2017	Lerrel Pinto Marcin Andrychowicz Peter Welinder Wojciech Zaremba Pieter Abbeel	1
+	Self-Supervised Visual Planning with Temporal Skip Connections	2017	Frederik Ebert Chelsea Finn Alex X. Lee Sergey Levine	1
+ PDF Chat	High-Speed Tracking with Kernelized Correlation Filters	2014	João F. Henriques Rui Caseiro Pedro Martins Jorge Batista	1
+	Hindsight Experience Replay	2017	Marcin Andrychowicz Filip Wolski Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Josh Tobin Pieter Abbeel Wojciech Zaremba	1
+	Critical Hyper-Parameters: No Random, No Cry	2017	Olivier Bousquet Sylvain Gelly Karol Kurach Olivier Teytaud Damien Vincent	1
+ PDF Chat	Siamese Instance Search for Tracking	2016	Ran Tao Efstratios Gavves A.W.M. Smeulders	1
+	Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views	2015	Hao Su Charles R. Qi Yangyan Li Leonidas Guibas	1
+ PDF Chat	A self-supervised learning system for object detection using physics simulation and multi-view pose estimation	2017	Chaitanya Mitash Kostas E. Bekris Abdeslam Boularias	1
+	Reinforcement Learning without Ground-Truth State	2019	Xingyu Lin Harjatin Singh Baweja David Held	1
+	COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration	2019	Nicholas Watters Löıc Matthey Matko Bošnjak Christopher Burgess Alexander Lerchner	1