Learning in an Uncertain World: Representing Ambiguity Through Multiple
Hypotheses

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Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses

1 December 2016

Christian Rupprecht

Maximilian Baust

Federico Tombari

Nassir Navab

Gregory D. Hager

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Papers citing "Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses"

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Title
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 93 88 0 30 May 2019
Learning Representations for Predicting Future Activities Mohammadreza Zolfaghari Özgün Çiçek S. M. Ali F. Mahdisoltani Can Zhang Thomas Brox AI4TS 52 6 0 09 May 2019
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging Samarth Brahmbhatt Cusuh Ham Charles C. Kemp James Hays 104 213 0 15 Apr 2019
Deep Reinforcement Learning with Feedback-based Exploration Jan Scholten Daan Wout C. Celemin Jens Kober 70 4 0 14 Mar 2019
The Visual Centrifuge: Model-Free Layered Video Representations Jean-Baptiste Alayrac João Carreira Andrew Zisserman 94 48 0 04 Dec 2018
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data Fabian Manhardt Diego Martin Arroyo Christian Rupprecht Benjamin Busam Tolga Birdal Nassir Navab Federico Tombari 76 120 0 01 Dec 2018
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions Ghazal Ghazaei Iro Laina Christian Rupprecht Federico Tombari Nassir Navab K. Nazarpour 69 17 0 02 Nov 2018
Anomaly Detection With Multiple-Hypotheses Predictions D. Nguyen Zhongyu Lou Michael Klar Thomas Brox 61 1 0 31 Oct 2018
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks Henggang Cui Vladan Radosavljevic Fang-Chieh Chou Tsung-Han Lin Thi Nguyen Tzu-Kuo Huang J. Schneider Nemanja Djuric 113 618 0 18 Sep 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 99 578 0 13 Jun 2018
Improving Regression Performance with Distributional Losses Ehsan Imani Martha White UQCV 79 67 0 12 Jun 2018
Visual Robot Task Planning Chris Paxton Yotam Barnoy Kapil D. Katyal R. Arora Gregory Hager 82 53 0 30 Mar 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow Eddy Ilg Özgün Çiçek Silvio Galesso Aaron Klein Osama Makansi Frank Hutter Thomas Brox UQCV 106 223 0 20 Feb 2018
Learning to Imagine Manipulation Goals for Robot Task Planning Chris Paxton Kapil D. Katyal Christian Rupprecht R. Arora Gregory Hager SSL 50 1 0 08 Nov 2017