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

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

15 March 2017
Alex Kendall
Y. Gal
    BDL
    OOD
    UD
    UQCV
    PER
ArXivPDFHTML

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

50 / 2,208 papers shown
Title
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 Tasks
Grant Wardle
Teo Susnjak
LRM
41
0
0
04 Oct 2024
DecTrain: Deciding When to Train a Monocular Depth DNN Online
DecTrain: Deciding When to Train a Monocular Depth DNN Online
Zih-Sing Fu
Soumya Sudhakar
S. Karaman
Vivienne Sze
46
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
43
1
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
64
0
0
02 Oct 2024
Towards Integrating Epistemic Uncertainty Estimation into the
  Radiotherapy Workflow
Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow
Marvin Tom Teichmann
Manasi Datar
Lisa Kratzke
Fernando Vega
Florin C. Ghesu
UQCV
38
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
41
3
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
AAML
CVBM
30
1
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
43
1
0
25 Sep 2024
UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation
UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation
Ting Yu Tsai
Li Lin
Shu Hu
Connie W. Tsao
Xin Li
Ming-Ching Chang
Hongtu Zhu
Xin Wang
Mamba
48
1
0
22 Sep 2024
End to End Face Reconstruction via Differentiable PnP
End to End Face Reconstruction via Differentiable PnP
Yiren Lu
Huawei Wei
3DH
CVBM
24
0
0
21 Sep 2024
Manifold Sampling for Differentiable Uncertainty in Radiance Fields
Manifold Sampling for Differentiable Uncertainty in Radiance Fields
Linjie Lyu
Ayush Tewari
Marc Habermann
Shunsuke Saito
Michael Zollhöfer
Thomas Leimkühler
Christian Theobalt
UQCV
46
1
0
19 Sep 2024
Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping
Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping
Jaehyung Jung
Simon Boche
Sebastián Barbas Laina
Stefan Leutenegger
184
1
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
UD
PER
UQCV
21
0
0
17 Sep 2024
A Review of Mechanistic Models of Event Comprehension
A Review of Mechanistic Models of Event Comprehension
Tan T. Nguyen
29
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
49
0
0
17 Sep 2024
DEMAU: Decompose, Explore, Model and Analyse Uncertainties
DEMAU: Decompose, Explore, Model and Analyse Uncertainties
A. Hoarau
Vincent Lemaire
UQCV
UD
PER
31
0
0
12 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
Zeke Xie
45
12
0
11 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
48
0
0
11 Sep 2024
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
Nazir Nayal
Youssef Shoeb
Fatma Güney
OODD
38
4
0
10 Sep 2024
Sources of Uncertainty in 3D Scene Reconstruction
Sources of Uncertainty in 3D Scene Reconstruction
Marcus Klasson
Riccardo Mereu
Arno Solin
Arno Solin
3DV
3DGS
33
3
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
O. Engkvist
47
2
0
06 Sep 2024
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression
Ting-Ru Liu
Hsuan-Kung Yang
Jou-Min Liu
Chun-Wei Huang
Tsung-Chih Chiang
Quan Kong
Norimasa Kobori
Chun-Yi Lee
31
1
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
45
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
39
4
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
39
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
41
0
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
43
3
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
50
1
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
DiffM
MedIm
39
3
0
27 Aug 2024
Detailed delineation of the fetal brain in diffusion MRI via multi-task
  learning
Detailed delineation of the fetal brain in diffusion MRI via multi-task learning
Davood Karimi
Camilo Calixto
Haykel Snoussi
M. C. Cortés-Albornoz
C. Velasco-Annis
Caitlin Rollins
Camilo Jaimes
Ali Gholipour
Simon K. Warfield
MedIm
26
3
0
26 Aug 2024
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
Xiaowei Mao
Yan Lin
Shengnan Guo
Yubin Chen
Xingyu Xian
Haomin Wen
Qisen Xu
Youfang Lin
Huaiyu Wan
47
1
0
23 Aug 2024
Assessing the Uncertainty and Robustness of Object Detection Models for
  Detecting Stickers on Laptops
Assessing the Uncertainty and Robustness of Object Detection Models for Detecting Stickers on Laptops
Chengjie Lu
Jiahui Wu
Shaukat Ali
Mikkel Labori Olsen
UQCV
32
3
0
22 Aug 2024
How disentangled are your classification uncertainties?
How disentangled are your classification uncertainties?
Ivo Pascal de Jong
A. Sburlea
Matias Valdenegro-Toro
UQCV
UD
PER
33
2
0
22 Aug 2024
Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles
Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles
Zi-Xiang Xia
Sudeep Fadadu
Yi Shi
Louis Foucard
AAML
55
0
0
20 Aug 2024
Deep Generative Classification of Blood Cell Morphology
Deep Generative Classification of Blood Cell Morphology
Simon Deltadahl
J. Gilbey
C. V. Laer
Nancy Boeckx
M. Leers
...
Nicholas S. Gleadall
Carola-Bibiane Schönlieb
S. Sivapalaratnam
Michael Roberts
P. Nachev
DiffM
MedIm
44
0
0
16 Aug 2024
Lifelong Reinforcement Learning via Neuromodulation
Lifelong Reinforcement Learning via Neuromodulation
Sebastian Lee
Samuel Liebana Garcia
Claudia Clopath
Will Dabney
49
0
0
15 Aug 2024
UAHOI: Uncertainty-aware Robust Interaction Learning for HOI Detection
UAHOI: Uncertainty-aware Robust Interaction Learning for HOI Detection
Mu Chen
Minghan Chen
Yi Yang
54
4
0
14 Aug 2024
Optical Music Recognition in Manuscripts from the Ricordi Archive
Optical Music Recognition in Manuscripts from the Ricordi Archive
Federico Simonetta
Rishav Mondal
L. A. Ludovico
Stavros Ntalampiras
28
0
0
14 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to
  Tail
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
Yina He
Lei Peng
Yongcun Zhang
Juanjuan Weng
Zhiming Luo
Shaozi Li
OODD
42
0
0
13 Aug 2024
Embodied Uncertainty-Aware Object Segmentation
Embodied Uncertainty-Aware Object Segmentation
Xiaolin Fang
Leslie Pack Kaelbling
Tomás Lozano-Pérez
27
5
0
08 Aug 2024
Gaussian Mixture based Evidential Learning for Stereo Matching
Gaussian Mixture based Evidential Learning for Stereo Matching
Weide Liu
Xingxing Wang
Lu Wang
Jun Cheng
Fayao Liu
Xulei Yang
26
0
0
05 Aug 2024
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic
  Approach to Enhance Accuracy and Interpretability
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability
Masoud Muhammed Hassan
41
2
0
05 Aug 2024
Source-Free Domain-Invariant Performance Prediction
Source-Free Domain-Invariant Performance Prediction
Ekaterina Khramtsova
Mahsa Baktashmotlagh
Guido Zuccon
Xi Wang
Mathieu Salzmann
UQCV
48
1
0
05 Aug 2024
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning
Seyeon Kim
Joonhun Lee
Namhoon Cho
Sungjun Han
Seungeon Baek
47
0
0
05 Aug 2024
Bayesian Active Learning for Semantic Segmentation
Bayesian Active Learning for Semantic Segmentation
Sima Didari
Wenjun Hu
Jae Oh Woo
Heng Hao
Hankyu Moon
Seungjai Min
56
0
0
03 Aug 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI
  Self-Assessment
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Charles Oredola
Vladimir Leung
Adnan Ashraf
Eric Heim
I-Jeng Wang
46
1
0
02 Aug 2024
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for
  Handling Noisy Contexts
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
Youna Kim
Hyuhng Joon Kim
Cheonbok Park
Choonghyun Park
Hyunsoo Cho
Junyeob Kim
Kang Min Yoo
Sang-goo Lee
Taeuk Kim
36
5
0
02 Aug 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object
  Detection
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
A. Benfenati
P. Causin
Hang Yu
Zhedong Zheng
3DPC
46
2
0
01 Aug 2024
Optimizing Long-tailed Link Prediction in Graph Neural Networks through
  Structure Representation Enhancement
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement
Yakun Wang
Daixin Wang
Hongrui Liu
Bin Hu
Yingcui Yan
Qiyang Zhang
Qing Cui
35
6
0
30 Jul 2024
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific
  Fitting
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting
Zhao Mingyang
Jia Xiaohong
Lei Ma
Yuke Shi
Jingen Jiang
Qizhai Li
Ming-Hsuan Yang
Huang Tiejun
39
1
0
27 Jul 2024
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