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Learning in an Uncertain World: Representing Ambiguity Through Multiple
  Hypotheses
v1v2v3 (latest)

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses

1 December 2016
Christian Rupprecht
Iro Laina
R. DiPietro
Maximilian Baust
Federico Tombari
Nassir Navab
Gregory D. Hager
ArXiv (abs)PDFHTML

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

50 / 114 papers shown
Title
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution
Yingda Yin
Jiangran Lyu
Yang Wang
Heru Wang
Hongan Wang
Bin Chen
OOD
264
4
0
24 Feb 2025
Conditional Distribution Quantization in Machine Learning
Conditional Distribution Quantization in Machine Learning
Blaise Delattre
Sylvain Delattre
Alexandre Verine
Alexandre Allauzen
218
0
0
11 Feb 2025
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
David Perera
Victor Letzelter
Théo Mariotte
Adrien Cortés
Mickaël Chen
S. Essid
Ga¨el Richard
193
4
0
20 Jan 2025
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
Adrien Lafage
Mathieu Barbier
Gianni Franchi
David Filliat
92
4
0
08 Jan 2025
Multiple Choice Learning for Efficient Speech Separation with Many
  Speakers
Multiple Choice Learning for Efficient Speech Separation with Many Speakers
David Perera
François Derrida
Théo Mariotte
Gaël Richard
S. Essid
125
0
0
27 Nov 2024
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
Jiayuan Zhu
Junde Wu
Cheng Ouyang
Konstantinos Kamnitsas
Alison Noble
117
0
0
23 Nov 2024
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware
  Segmentations of Images
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images
Jiyoung Park
Günay Doğan
UQCV
60
0
0
17 Oct 2024
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
Xiaoling Hu
Karthik Gopinath
Peirong Liu
Malte Hoffmann
Koen van Leemput
Oula Puonti
J. Iglesias
OODUQCV
120
1
0
11 Oct 2024
Annealed Winner-Takes-All for Motion Forecasting
Annealed Winner-Takes-All for Motion Forecasting
Yihong Xu
Victor Letzelter
Mickaël Chen
Éloi Zablocki
Matthieu Cord
473
1
0
17 Sep 2024
Segmentation Style Discovery: Application to Skin Lesion Images
Segmentation Style Discovery: Application to Skin Lesion Images
Kumar Abhishek
J. Kawahara
Ghassan Hamarneh
102
0
0
05 Aug 2024
Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose
  Inference
Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
Shayan Shekarforoush
David B. Lindell
Marcus A. Brubaker
David J. Fleet
69
2
0
15 Jun 2024
Winner-takes-all learners are geometry-aware conditional density
  estimators
Winner-takes-all learners are geometry-aware conditional density estimators
Victor Letzelter
David Perera
Cédric Rommel
Mathieu Fontaine
S. Essid
Gael Richard
Patrick Pérez
59
4
0
07 Jun 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
E. Nehme
Rotem Mulayoff
T. Michaeli
UQCV
86
2
0
24 May 2024
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal
  Output Distributions
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
David D. Nguyen
David Liebowitz
Surya Nepal
S. Kanhere
OODUQCV
62
0
0
18 Dec 2023
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
Cédric Rommel
Victor Letzelter
Nermin Samet
Renaud Marlet
Matthieu Cord
Patrick Pérez
Eduardo Valle
3DH
56
0
0
11 Dec 2023
Resilient Multiple Choice Learning: A learned scoring scheme with
  application to audio scene analysis
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
Victor Letzelter
Mathieu Fontaine
Mickaël Chen
Patrick Pérez
S. Essid
Ga¨el Richard
55
8
0
02 Nov 2023
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
101
27
0
09 Oct 2023
Structured Radial Basis Function Network: Modelling Diversity for
  Multiple Hypotheses Prediction
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction
Alejandro Rodriguez Dominguez
Muhammad Shahzad
Xia Hong
62
1
0
02 Sep 2023
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic
  Segmentation
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation
Andre Ye
Quan Ze Chen
Amy X. Zhang
UQCV
77
1
0
15 Aug 2023
No Regularization is Needed: An Efficient and Effective Model for
  Incomplete Label Distribution Learning
No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning
Xiang Li
Songcan Chen
OffRL
61
1
0
14 Aug 2023
Investigating and Improving Latent Density Segmentation Models for
  Aleatoric Uncertainty Quantification in Medical Imaging
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
M. Valiuddin
Christiaan Viviers
R. V. Sloun
Peter H. N. de With
Fons van der Sommen
UQCV
104
2
0
31 Jul 2023
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory
  Forecasting
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting
Inhwan Bae
Jean Oh
Hae-Gon Jeon
92
36
0
18 Jul 2023
Topology-Aware Uncertainty for Image Segmentation
Topology-Aware Uncertainty for Image Segmentation
Saumya Gupta
Yikai Zhang
Xiaoling Hu
Prateek Prasanna
Chao Chen
94
30
0
09 Jun 2023
Stochastic Multi-Person 3D Motion Forecasting
Stochastic Multi-Person 3D Motion Forecasting
Sirui Xu
Yu-Xiong Wang
Liangyan Gui
DiffM
84
25
0
08 Jun 2023
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds
  for Human Pose and Shape Distribution Estimation
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
A. Sengupta
Ignas Budvytis
R. Cipolla
3DH
112
20
0
11 May 2023
Distributional Instance Segmentation: Modeling Uncertainty and High
  Confidence Predictions with Latent-MaskRCNN
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN
YuXuan Liu
Nikhil Mishra
Pieter Abbeel
Xi Chen
ISegUQCV
128
4
0
03 May 2023
Effect of latent space distribution on the segmentation of images with
  multiple annotations
Effect of latent space distribution on the segmentation of images with multiple annotations
Ishaan Bhat
J. Pluim
M. Viergever
Hugo J. Kuijf
44
6
0
26 Apr 2023
That Label's Got Style: Handling Label Style Bias for Uncertain Image
  Segmentation
That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation
Kilian Zepf
Eike Petersen
J. Frellsen
Aasa Feragen
61
7
0
28 Mar 2023
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from
  Spatial Aleatoric Uncertainty
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty
Kilian Zepf
Selma Wanna
M. Miani
Juston Moore
J. Frellsen
Søren Hauberg
Aasa Feragen
Frederik Warburg
UQCV
66
4
0
23 Mar 2023
Object-based SLAM utilizing unambiguous pose parameters considering
  general symmetry types
Object-based SLAM utilizing unambiguous pose parameters considering general symmetry types
Tae-Kyeong Lee
Youngseok Jang
H. J. Kim
53
4
0
13 Mar 2023
Transmission-Guided Bayesian Generative Model for Smoke Segmentation
Transmission-Guided Bayesian Generative Model for Smoke Segmentation
Siyuan Yan
Jing Zhang
Nick Barnes
MedIm
46
18
0
02 Mar 2023
Cosmic Microwave Background Recovery: A Graph-Based Bayesian
  Convolutional Network Approach
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach
Jadie Adams
S. Lu
K. Gorski
G. Rocha
K. Wagstaff
45
1
0
24 Feb 2023
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly
  Estimating Complex SO(3) Distributions
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions
Michael A. Alcorn
56
0
0
21 Jan 2023
Diverse Multimedia Layout Generation with Multi Choice Learning
Diverse Multimedia Layout Generation with Multi Choice Learning
David D. Nguyen
Surya Nepal
S. Kanhere
63
15
0
16 Jan 2023
Masked Vector Quantization
David D. Nguyen
David Leibowitz
Surya Nepal
S. Kanhere
MQ
61
0
0
16 Jan 2023
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture
  of Stochastic Experts
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
Zhitong Gao
Yucong Chen
Chuyu Zhang
Xuming He
UQCV
67
5
0
14 Dec 2022
Multi-rater Prism: Learning self-calibrated medical image segmentation
  from multiple raters
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters
Junde Wu
Huihui Fang
Yehui Yang
Yuanpei Liu
Jing Gao
Lixin Duan
Weihua Yang
Yanwu Xu
76
2
0
01 Dec 2022
Theoretical analysis and experimental validation of volume bias of soft
  Dice optimized segmentation maps in the context of inherent uncertainty
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
J. Bertels
D. Robben
Dirk Vandermeulen
P. Suetens
64
19
0
08 Nov 2022
An Action Is Worth Multiple Words: Handling Ambiguity in Action
  Recognition
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition
Kiyoon Kim
Davide Moltisanti
Oisin Mac Aodha
Laura Sevilla-Lara
60
0
0
10 Oct 2022
Safety-compliant Generative Adversarial Networks for Human Trajectory
  Forecasting
Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting
Parth Kothari
Alexandre Alahi
108
26
0
25 Sep 2022
Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in
  Dynamic Environments
Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments
J. Tordesillas
Jonathan P. How
79
30
0
02 Sep 2022
ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries
ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries
Junru Gu
Chenxu Hu
Tian-Yi Zhang
Xuanyao Chen
Yilun Wang
Yue Wang
Hang Zhao
101
104
0
02 Aug 2022
MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D
  Views
MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views
H. Zeng
Xin Yu
Jiaxu Miao
Yezhou Yang
3DV
98
8
0
19 Jul 2022
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction
  Network Trained with Lane Loss
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss
Sanmin Kim
Hyeongseok Jeon
Junwon Choi
Dongsuk Kum
130
21
0
17 Jun 2022
Learning Probabilistic Topological Representations Using Discrete Morse
  Theory
Learning Probabilistic Topological Representations Using Discrete Morse Theory
Xiaoling Hu
Dimitris Samaras
Chao Chen
97
21
0
03 Jun 2022
Application of belief functions to medical image segmentation: A review
Application of belief functions to medical image segmentation: A review
Ling Huang
S. Ruan
Thierry Denoeux
EDLMedIm
101
31
0
03 May 2022
Bootstrap Motion Forecasting With Self-Consistent Constraints
Bootstrap Motion Forecasting With Self-Consistent Constraints
Maosheng Ye
Jiamiao Xu
Xun Xu
Tengfei Wang
Tongyi Cao
Qifeng Chen
122
21
0
12 Apr 2022
Non-Probability Sampling Network for Stochastic Human Trajectory
  Prediction
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction
Inhwan Bae
Jin-Hwi Park
Hae-Gon Jeon
109
57
0
25 Mar 2022
Transframer: Arbitrary Frame Prediction with Generative Models
Transframer: Arbitrary Frame Prediction with Generative Models
C. Nash
João Carreira
Jacob Walker
Iain Barr
Andrew Jaegle
Mateusz Malinowski
Peter W. Battaglia
ViT
126
38
0
17 Mar 2022
Data variation-aware medical image segmentation
Data variation-aware medical image segmentation
A. Dushatskiy
G. Lowe
Peter A. N. Bosman
Tanja Alderliesten
OOD
36
2
0
24 Feb 2022
123
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