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What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
v1v2 (latest)

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

15 March 2017
Alex Kendall
Y. Gal
    BDLOODUDUQCVPER
ArXiv (abs)PDFHTML

Papers citing "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

50 / 2,432 papers shown
CausAdv: A Causal-based Framework for Detecting Adversarial Examples
CausAdv: A Causal-based Framework for Detecting Adversarial Examples
Hichem Debbi
CMLAAML
285
1
0
29 Oct 2024
Long-Tailed Out-of-Distribution Detection via Normalized Outlier
  Distribution Adaptation
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution AdaptationNeural Information Processing Systems (NeurIPS), 2024
Wenjun Miao
Guansong Pang
Jin Zheng
Xiao Bai
OODD
351
5
0
28 Oct 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of
  Large Language Models
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
Mohammad Beigi
Sijia Wang
Ying Shen
Zihao Lin
Adithya Kulkarni
...
Ming Jin
Jin-Hee Cho
Dawei Zhou
Chang-Tien Lu
Lifu Huang
287
3
0
26 Oct 2024
Uncertainty-Error correlations in Evidential Deep Learning models for
  biomedical segmentation
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentationCommunications in Computer and Information Science (CCIS), 2024
Hai Siong Tan
Kuancheng Wang
R. Mcbeth
UQCV
239
0
0
24 Oct 2024
Few-shot NeRF by Adaptive Rendering Loss Regularization
Few-shot NeRF by Adaptive Rendering Loss RegularizationEuropean Conference on Computer Vision (ECCV), 2024
Qingshan Xu
Xuanyu Yi
Jianyao Xu
Wenbing Tao
Yew-Soon Ong
Hanwang Zhang
196
11
0
23 Oct 2024
Agent-to-Sim: Learning Interactive Behavior Models from Casual
  Longitudinal Videos
Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal VideosInternational Conference on Learning Representations (ICLR), 2024
Gengshan Yang
Andrea Bajcsy
Forrest Iandola
Angjoo Kanazawa
VGen
245
3
0
21 Oct 2024
Theoretical Limitations of Ensembles in the Age of Overparameterization
Theoretical Limitations of Ensembles in the Age of Overparameterization
Niclas Dern
John P. Cunningham
Geoff Pleiss
BDLUQCV
341
2
0
21 Oct 2024
Constrained Recurrent Bayesian Forecasting for Crack Propagation
Constrained Recurrent Bayesian Forecasting for Crack Propagation
Sara Yasmine Ouerk
Olivier Vo Van
Mouadh Yagoubi
192
0
0
18 Oct 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
160
1
0
17 Oct 2024
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor
  Fusion
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion
Minkyoung Cho
Yulong Cao
Jiachen Sun
Qingzhao Zhang
Marco Pavone
Jeong Joon Park
Heng Yang
Z. Morley Mao
210
5
0
16 Oct 2024
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward ModelingInternational Conference on Learning Representations (ICLR), 2024
Guiyu Zhang
Huan-ang Gao
Zijian Jiang
Hang Zhao
Zhedong Zheng
EGVM
470
13
0
15 Oct 2024
SAMPa: Sharpness-aware Minimization Parallelized
SAMPa: Sharpness-aware Minimization ParallelizedNeural Information Processing Systems (NeurIPS), 2024
Wanyun Xie
Thomas Pethick
Volkan Cevher
239
1
0
14 Oct 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization
Probabilistic Degeneracy Detection for Point-to-Plane Error MinimizationIEEE Robotics and Automation Letters (RA-L), 2024
Johan Hatleskog
Kostas Alexis
3DPC
408
9
0
14 Oct 2024
Bayesian Sheaf Neural Networks
Bayesian Sheaf Neural Networks
Patrick Gillespie
Vasileios Maroulas
Ioannis Schizas
D. Boothe
Vasileios Maroulas
239
3
0
12 Oct 2024
Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene
  Semantic Segmentation
Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation
Hanieh Shojaei
Qianqian Zou
Max Mehltretter
UQCV
217
3
0
11 Oct 2024
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
Hierarchical Uncertainty Estimation for Learning-based Registration in NeuroimagingInternational Conference on Learning Representations (ICLR), 2024
Xiaoling Hu
Karthik Gopinath
Peirong Liu
Malte Hoffmann
Koen van Leemput
Oula Puonti
J. Iglesias
OODUQCV
283
5
0
11 Oct 2024
Temporal-Difference Variational Continual Learning
Temporal-Difference Variational Continual Learning
Luckeciano C. Melo
Alessandro Abate
Yarin Gal
BDLCLLVLM
611
0
0
10 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Shanshan Han
607
1
0
09 Oct 2024
Robust Domain Generalisation with Causal Invariant Bayesian Neural
  Networks
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
Gaël Gendron
Michael Witbrock
Gillian Dobbie
CMLBDLOOD
221
0
0
08 Oct 2024
TapType: Ten-finger text entry on everyday surfaces via Bayesian
  inference
TapType: Ten-finger text entry on everyday surfaces via Bayesian inferenceInternational Conference on Human Factors in Computing Systems (CHI), 2022
Paul Streli
Jiaxi Jiang
A. Fender
Manuel Meier
Hugo Romat
Christian Holz
207
43
0
08 Oct 2024
Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at
  Right Ventricle Base
Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle BaseInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Yidong Zhao
Yi Zhang
Orlando Simonetti
Yuchi Han
Qian Tao
232
1
0
04 Oct 2024
Image First or Text First? Optimising the Sequencing of Modalities in
  Large Language Model Prompting and Reasoning Tasks
Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning TasksBig Data and Cognitive Computing (BDCC), 2024
Grant Wardle
Teo Susnjak
LRM
376
15
0
04 Oct 2024
DecTrain: Deciding When to Train a Monocular Depth DNN Online
DecTrain: Deciding When to Train a Monocular Depth DNN OnlineIEEE Robotics and Automation Letters (RA-L), 2024
Zih-Sing Fu
Soumya Sudhakar
S. Karaman
Vivienne Sze
258
0
0
03 Oct 2024
Uncertainty Quantification with Bayesian Higher Order ReLU KANs
Uncertainty Quantification with Bayesian Higher Order ReLU KANs
J. Giroux
Cristiano Fanelli
UQCV
213
4
0
02 Oct 2024
Uncertainty-aware Human Mobility Modeling and Anomaly Detection
Uncertainty-aware Human Mobility Modeling and Anomaly Detection
Haomin Wen
Shurui Cao
Z. Rasheed
Khurram Hassan-Shafique
Leman Akoglu
333
0
0
02 Oct 2024
Towards Integrating Epistemic Uncertainty Estimation into the
  Radiotherapy Workflow
Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy WorkflowInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Marvin Tom Teichmann
Manasi Datar
Lisa Kratzke
Fernando Vega
Florin C. Ghesu
UQCV
211
1
0
27 Sep 2024
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty
  Learning
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning
Song Wang
Zhongdao Wang
Jiawei Yu
Wentong Li
Bailan Feng
Junbo Chen
Jianke Zhu
UQCV
273
5
0
26 Sep 2024
Face Forgery Detection with Elaborate Backbone
Face Forgery Detection with Elaborate Backbone
Zonghui Guo
Y. Liu
Jie Zhang
Haiyong Zheng
Shiguang Shan
AAMLCVBM
257
2
0
25 Sep 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles
Tongfei
Guo
Rui Liu
Lili Su
321
4
0
25 Sep 2024
An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentation
An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentation
Ting Yu Tsai
Li Lin
Yineng Chen
Connie W. Tsao
Shu Hu
...
Hongtu Zhu
Shao Lin
Ming-Ching Chang
Hongtu Zhu
Xin Wang
Mamba
293
5
0
22 Sep 2024
End to End Face Reconstruction via Differentiable PnP
End to End Face Reconstruction via Differentiable PnP
Yiren Lu
Huawei Wei
3DHCVBM
137
0
0
21 Sep 2024
Manifold Sampling for Differentiable Uncertainty in Radiance Fields
Manifold Sampling for Differentiable Uncertainty in Radiance FieldsACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2024
Linjie Lyu
Ayush Tewari
Marc Habermann
Shunsuke Saito
Michael Zollhöfer
Thomas Leimkühler
Christian Theobalt
UQCV
268
7
0
19 Sep 2024
Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping
Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy MappingIEEE International Conference on Robotics and Automation (ICRA), 2024
Jaehyung Jung
Simon Boche
Sebastián Barbas Laina
Stefan Leutenegger
977
2
0
18 Sep 2024
Uncertainty Decomposition and Error Margin Detection of Homodyned-K
  Distribution in Quantitative Ultrasound
Uncertainty Decomposition and Error Margin Detection of Homodyned-K Distribution in Quantitative Ultrasound
Dorsa Ameri
A. Tehrani
I. Rosado-Méndez
H. Rivaz
UDPERUQCV
179
0
0
17 Sep 2024
A Review of Mechanistic Models of Event Comprehension
A Review of Mechanistic Models of Event Comprehension
Tan T. Nguyen
165
0
0
17 Sep 2024
Uncertainty and Prediction Quality Estimation for Semantic Segmentation
  via Graph Neural Networks
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks
Edgar Heinert
Stephan Tilgner
Timo Palm
Matthias Rottmann
UQCV
347
1
0
17 Sep 2024
DEMAU: Decompose, Explore, Model and Analyse Uncertainties
DEMAU: Decompose, Explore, Model and Analyse Uncertainties
A. Hoarau
Vincent Lemaire
UQCVUDPER
190
0
0
12 Sep 2024
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI
Chenjun Li
Dian Yang
Shun Yao
Shuyue Wang
Ye Wu
...
C. Westin
L. O’Donnell
N. Sochen
O. Pasternak
Fan Zhang
UQCV
255
0
0
11 Sep 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Buhua Liu
Shitong Shao
Bao Li
Lichen Bai
Zhiqiang Xu
Haoyi Xiong
James Kwok
Sumi Helal
Bo Han
467
23
0
11 Sep 2024
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
A Likelihood Ratio-Based Approach to Segmenting Unknown ObjectsInternational Journal of Computer Vision (IJCV), 2024
Nazir Nayal
Youssef Shoeb
Fatma Güney
OODD
265
8
0
10 Sep 2024
Sources of Uncertainty in 3D Scene Reconstruction
Sources of Uncertainty in 3D Scene Reconstruction
Talal Alrawajfeh
Riccardo Mereu
Arno Solin
Mikko Heikkilä
3DV3DGS
312
7
0
10 Sep 2024
Enhancing Uncertainty Quantification in Drug Discovery with Censored
  Regression Labels
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels
Emma Svensson
Hannah Rosa Friesacher
S. Winiwarter
Lewis H. Mervin
Adam Arany
Ola Engkvist
280
3
0
06 Sep 2024
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression
Reprojection Errors as Prompts for Efficient Scene Coordinate RegressionEuropean Conference on Computer Vision (ECCV), 2024
Ting-Ru Liu
Hsuan-Kung Yang
Jou-Min Liu
Chun-Wei Huang
Tsung-Chih Chiang
Quan Kong
Norimasa Kobori
Chun-Yi Lee
206
5
0
06 Sep 2024
CUQ-GNN: Committee-based Graph Uncertainty Quantification using
  Posterior Networks
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks
C. Damke
Eyke Hüllermeier
BDL
342
0
0
06 Sep 2024
Towards Social AI: A Survey on Understanding Social Interactions
Towards Social AI: A Survey on Understanding Social Interactions
Sangmin Lee
Minzhi Li
Bolin Lai
Wenqi Jia
Fiona Ryan
...
Ozgur Kara
Bikram Boote
Weiyan Shi
Diyi Yang
James M. Rehg
350
12
0
05 Sep 2024
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose
  Estimation
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation
Philipp Quentin
Daniel Goehring
311
0
0
05 Sep 2024
Prediction Accuracy & Reliability: Classification and Object
  Localization under Distribution Shift
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift
Fabian Diet
Moussa Kassem Sbeyti
Michelle Karg
211
2
0
05 Sep 2024
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable
  MedSAM
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM
N. Zhou
Ke Zou
Kai Ren
Mengting Luo
Linchao He
Ming Wang
Yidi Chen
Yi Zhang
Hu Chen
Huazhu Fu
MedIm
212
16
0
02 Sep 2024
Str-L Pose: Integrating Point and Structured Line for Relative Pose
  Estimation in Dual-Graph
Str-L Pose: Integrating Point and Structured Line for Relative Pose Estimation in Dual-Graph
Zherong Zhang
Chunyu Lin
Shujuan Huang
Shangrong Yang
Yao Zhao
3DPC
216
2
0
28 Aug 2024
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from
  Few Planar X-Rays
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays
Yiran Sun
Hana Baroudi
Tucker Netherton
Laurence Court
Osama Mawlawi
Ashok Veeraraghavan
Guha Balakrishnan
DiffMMedIm
225
6
0
27 Aug 2024
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