v1v2v3 (latest)

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses

1 December 2016

Christian Rupprecht

Nassir Navab

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

50 / 114 papers shown

Title
Context-Aware Scene Prediction Network (CASPNet) Maximilian Schäfer Kun-li Zhao Markus Bühren A. Kummert 92 11 0 18 Jan 2022
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Yi Li Yiqun Duan Zhanghui Kuang Yimin Chen Wayne Zhang Xiaomeng Li 113 75 0 14 Dec 2021
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels Sun-Beom Hong A. Bonkhoff Andrew Hoopes Martin Bretzner M. Schirmer A. Giese Adrian Dalca Polina Golland N. Rost UQCV 67 7 0 13 Dec 2021
Direct multi-modal inversion of geophysical logs using deep learning S. Alyaev A. Elsheikh AI4CE 60 10 0 29 Nov 2021
Learning Proposals for Practical Energy-Based Regression L. Kumar Martin Danelljan Thomas B. Schon 76 4 0 22 Oct 2021
Learning High-Speed Flight in the Wild Antonio Loquercio Elia Kaufmann René Ranftl Matthias Muller V. Koltun Davide Scaramuzza 139 303 0 11 Oct 2021
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling Tobias Leemann Moritz Sackmann J. Thielecke U. Hofmann 38 1 0 06 Oct 2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation Dwarikanath Mahapatra SSL 72 6 0 01 Oct 2021
Using Soft Labels to Model Uncertainty in Medical Image Segmentation Joao Lourencco Silva Arlindo L. Oliveira UQCV 101 19 0 26 Sep 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 124 61 0 01 Jul 2021
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty Lin Wang Lie Ju Xin Wang Wanji He Donghao Zhang ... Zhiwen Yang Xuan-Liang Yao Xin Zhao Xiufen Ye Z. Ge 79 3 0 18 Jun 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis Dwarikanath Mahapatra Ankur Singh 88 8 0 15 Jun 2021
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds Parth Kothari Brian Sifringer Alexandre Alahi HAI AI4TS 77 60 0 07 May 2021
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes Dan Xu Andrea Vedaldi Joao F. Henriques 76 14 0 05 May 2021
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras Anthony Hu Zak Murez Nikhil C. Mohan Sofía Dudas Jeffrey Hawke Vijay Badrinarayanan R. Cipolla Alex Kendall 248 265 0 21 Apr 2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction Sriram Narayanan Ramin Moslemi Francesco Pittaluga Buyu Liu Manmohan Chandraker 103 59 0 16 Apr 2021
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness A. Kulkarni Shuo Han Nandi O. Leslie Charles A. Kamhoua Jie Fu 57 2 0 01 Apr 2021
Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild A. Sengupta Ignas Budvytis R. Cipolla 3DH 103 61 0 19 Mar 2021
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors Mohammadhossein Bahari Ismail Nejjar Alexandre Alahi 86 50 0 08 Mar 2021
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering Ruochen Jiao Hengyi Liang Takami Sato Junjie Shen Qi Alfred Chen Qi Zhu AAML 135 14 0 27 Feb 2021
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation Haowen Deng Mai Bui Nassir Navab Leonidas Guibas Slobodan Ilic Tolga Birdal 3DH 134 58 0 20 Dec 2020
Uncertainty-Aware Deep Calibrated Salient Object Detection Jing Zhang Yuchao Dai Xin Yu Mehrtash Harandi Nick Barnes Leonid Sigal UQCV EDL 89 6 0 10 Dec 2020
RegFlow: Probabilistic Flow-based Regression for Future Prediction Maciej Ziȩba Marcin Przewiȩźlikowski Marek Śmieja Jacek Tabor Tomasz Trzciñski Przemysław Spurek AI4TS AI4CE 133 11 0 30 Nov 2020
Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast Srikanth Malla Chiho Choi Behzad Dariush AI4TS 68 9 0 10 Nov 2020
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data Benjamin Biggs Sébastien Ehrhardt Hanbyul Joo Benjamin Graham Andrea Vedaldi David Novotny 3DH 109 69 0 02 Nov 2020
Beelines: Motion Prediction Metrics for Self-Driving Safety and Comfort Skanda Shridhar Yuhang Ma T. Stentz Zhengdi Shen G. C. Haynes Neil Traft 42 1 0 01 Nov 2020
Ensembling Low Precision Models for Binary Biomedical Image Segmentation Tianyu Ma Hang Zhang Hanley Ong Amar Vora Thanh D. Nguyen Ajay Gupta Yi Wang M. Sabuncu UQCV 49 13 0 16 Oct 2020
Goal-Directed Occupancy Prediction for Lane-Following Actors Poornima Kaniarasu G. C. Haynes Micol Marchetti-Bowick 39 4 0 06 Sep 2020
DONet: Dual Objective Networks for Skin Lesion Segmentation Yaxiong Wang Yunchao Wei Xueming Qian Li Zhu Yi Yang MedIm 73 6 0 19 Aug 2020
Multi-Modal Trajectory Prediction of NBA Players Sandro Hauri Nemanja Djuric Vladan Radosavljevic Slobodan Vučetić 50 25 0 18 Aug 2020
Modal Uncertainty Estimation via Discrete Latent Representation Di Qiu L. Lui UQCV 49 5 0 25 Jul 2020
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling Keisuke Fujii Naoya Takeishi Yoshinobu Kawahara K. Takeda 75 9 0 07 Jul 2020
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation Elias Kassapis G. Dikov D. K. Gupta C. Nugteren 92 17 0 23 Jun 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty Miguel A. B. Monteiro Loic Le Folgoc Daniel Coelho De Castro Nick Pawlowski Bernardo Marques Konstantinos Kamnitsas Mark van der Wilk Ben Glocker UQCV BDL 58 115 0 10 Jun 2020
Uncertainty quantification in medical image segmentation with normalizing flows Raghavendra Selvan F. Faye Jon Middleton A. Pai MedIm 110 31 0 04 Jun 2020
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation Hong Joo Lee S. T. Kim Hakmin Lee Nassir Navab Yong Man Ro UQCV 88 7 0 21 May 2020
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions Michael Danielczuk A. Angelova Vincent Vanhoucke Ken Goldberg 72 41 0 20 Apr 2020
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders Jing Zhang Deng-Ping Fan Yuchao Dai Saeed Anwar F. Saleh Tong Zhang Nick Barnes UQCV 98 324 0 13 Apr 2020
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference Mai Bui Tolga Birdal Haowen Deng Shadi Albarqouni Leonidas Guibas Slobodan Ilic Nassir Navab 74 26 0 09 Apr 2020
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran Ling Shao 96 30 0 31 Mar 2020
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models A. Berlati Oliver Scheel Luigi Di Stefano Federico Tombari 72 5 0 10 Mar 2020
A Multi-Hypothesis Approach to Color Constancy D. Juárez Sarah Parisot Benjamin Busam A. Leonardis Greg Slabaugh Jingyu Sun 68 43 0 28 Feb 2020
Inferring Distributions Over Depth from a Single Image Gengshan Yang Peiyun Hu Deva Ramanan UQCV 78 20 0 12 Dec 2019
Mixture Dense Regression for Object Detection and Human Pose Estimation Ali Varamesh Tinne Tuytelaars 89 51 0 02 Dec 2019
Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network Yeonghyeon Park Wonseok Park Yeong Beom Kim 40 14 0 02 Dec 2019
Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning Kerstin Kläser Thomas Varsavsky P. Markiewicz Tom Vercauteren David Atkinson K. Thielemans B. Hutton M. Jorge Cardoso Sebastien Ourselin MedIm OOD 46 14 0 21 Aug 2019
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation Janis Postels Francesco Ferroni Huseyin Coskun Nassir Navab Federico Tombari UQCV UD PER BDL 170 140 0 01 Aug 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction Osama Makansi Eddy Ilg Özgün Çiçek Thomas Brox 152 191 0 09 Jun 2019
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks Aryan Mobiny H. Nguyen S. Moulik Naveen Garg Carol C. Wu UQCV BDL 84 163 0 07 Jun 2019
PHiSeg: Capturing Uncertainty in Medical Image Segmentation Christian F. Baumgartner K. Tezcan K. Chaitanya A. Hötker Urs J. Muehlematter K. Schawkat Anton S. Becker O. Donati E. Konukoglu UQCV 91 204 0 07 Jun 2019