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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
A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI
A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI
Nicola Casali
Alessandro Brusaferri
Giuseppe Baselli
Stefano Fumagalli
Edoardo Micotti
Gianluigi Forloni
Riaz Hussein
Giovanna Rizzo
Alfonso Mastropietro
224
0
0
06 Aug 2025
RadProPoser: A Framework for Human Pose Estimation with Uncertainty Quantification from Raw Radar Data
RadProPoser: A Framework for Human Pose Estimation with Uncertainty Quantification from Raw Radar Data
Jonas Leo Mueller
Lukas Engel
Eva Dorschky
Daniel Krauss
Ingrid Ullmann
Martin Vossiek
Bjoern M. Eskofier
175
1
0
05 Aug 2025
Uncertainty-Guided Face Matting for Occlusion-Aware Face Transformation
Uncertainty-Guided Face Matting for Occlusion-Aware Face Transformation
Hyebin Cho
Jaehyup Lee
CVBM
158
0
0
05 Aug 2025
Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning
Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning
Muhammad Aqeel
Shakiba Sharifi
Marco Cristani
Francesco Setti
159
7
0
04 Aug 2025
Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images
Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images
Philipp Wulff
Felix Wimbauer
Dominik Muhle
Daniel Cremers
MDE
152
0
0
04 Aug 2025
Semi-Supervised Dual-Threshold Contrastive Learning for Ultrasound Image Classification and Segmentation
Semi-Supervised Dual-Threshold Contrastive Learning for Ultrasound Image Classification and Segmentation
Peng Zhang
Zhihui Lai
Heng Kong
124
0
0
04 Aug 2025
Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation
Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation
S. Kirchhoff
Meritxell Riera-Marin
Adrian Galdran
Javier Garcia-Lopez
Julia Rodriguez-Comas
Gemma Piella
M. A. G. Ballester
UQCV
150
7
0
02 Aug 2025
OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS
OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS
Han Ling
Xian Xu
Yinghui Sun
Quansen Sun
121
0
0
02 Aug 2025
CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry
CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry
Jingchao Xie
Oussema Dhaouadi
Weirong Chen
Johannes Meier
Jacques Kaiser
Daniel Cremers
120
0
0
01 Aug 2025
Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty
Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty
Jiayu Li
Ziyi Ye
Guohao Jian
Zhiqiang Guo
Weizhi Ma
Jiaxin Mao
Min Zhang
187
0
0
31 Jul 2025
Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow Matching
Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow Matching
Phi Van Nguyen
Ngoc Huynh Trinh
Duy Minh Lam Nguyen
Phu Loc Nguyen
Quoc Long Tran
DiffMMedIm
140
4
0
30 Jul 2025
In-Situ Soil-Property Estimation and Bayesian Mapping with a Simulated Compact Track Loader
In-Situ Soil-Property Estimation and Bayesian Mapping with a Simulated Compact Track Loader
W. J. Wagner
A. Soylemezoglu
Katherine Driggs-Campbell
84
1
0
30 Jul 2025
LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process
LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process
Xiaodong Feng
Ling Guo
Xiaoliang Wan
Hao Wu
Tao Zhou
Wenwen Zhou
AI4CE
230
1
0
30 Jul 2025
Bayesian-Driven Graph Reasoning for Active Radio Map Construction
Bayesian-Driven Graph Reasoning for Active Radio Map Construction
Wenlihan Lu
Shijian Gao
Miaowen Wen
Yuxuan Liang
Liuqing Yang
Chan-Byoung Chae
H. Vincent Poor
137
2
0
29 Jul 2025
Shapley Uncertainty in Natural Language Generation
Shapley Uncertainty in Natural Language Generation
Meilin Zhu
Gaojie Jin
Xiaowei Huang
Lijun Zhang
151
0
0
29 Jul 2025
Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts
Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts
Sang-Woo Lee
Sohee Yang
Donghyun Kwak
Noah Y. Siegel
OffRLAI4TS
210
2
0
25 Jul 2025
Flow Stochastic Segmentation Networks
Flow Stochastic Segmentation Networks
Fabio De Sousa Ribeiro
Omar Todd
Charles Jones
Avinash Kori
Raghav Mehta
Ben Glocker
230
0
0
24 Jul 2025
Distributional Uncertainty for Out-of-Distribution Detection
Distributional Uncertainty for Out-of-Distribution DetectionAdvanced Video and Signal Based Surveillance (AVSS), 2025
JinYoung Kim
DaeUng Jo
Kimin Yun
Jeonghyo Song
Y. Yoo
UQCV
155
1
0
24 Jul 2025
Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
Da Fan
David John Gagne II
S. Greybush
E. Clothiaux
John S. Schreck
Chaopeng Shen
UQCVBDL
187
0
0
22 Jul 2025
Evaluating Uncertainty and Quality of Visual Language Action-enabled Robots
Evaluating Uncertainty and Quality of Visual Language Action-enabled Robots
Pablo Valle
Chengjie Lu
Shaukat Ali
Aitor Arrieta
247
2
0
22 Jul 2025
CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction
CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction
Jisu Shin
Richard Shaw
Seunghyun Shin
Zhensong Zhang
Hae-Gon Jeon
Hae-Gon Jeon
280
0
0
21 Jul 2025
Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
Kyung-Hwan Lee
Kyung-Tae Kim
207
0
0
21 Jul 2025
Theoretical Foundations and Mitigation of Hallucination in Large Language Models
Theoretical Foundations and Mitigation of Hallucination in Large Language Models
Esmail Gumaan
HILM
125
2
0
20 Jul 2025
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
Ilia Azizi
Juraj Bodik
Jakob Heiss
Bin Yu
UQCVUD
410
2
0
10 Jul 2025
BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields
BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields
Rushil Desai
3DVAI4CE
304
0
0
08 Jul 2025
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Ji-Hun Oh
Kianoush Falahkheirkhah
Rohit Bhargava
279
0
0
01 Jul 2025
Planning under Uncertainty to Goal Distributions
Planning under Uncertainty to Goal Distributions
Adam Conkey
Tucker Hermans
388
3
0
01 Jul 2025
Low-rank variational dropout: Rank selection and uncertainty in adapters
Low-rank variational dropout: Rank selection and uncertainty in adapters
Cooper Doyle
Rebecca Chan
Andy Hu
Anna Leontjeva
UQCVBDL
178
0
0
28 Jun 2025
Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation
Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity EstimationFusion (Fusion), 2025
Prashant Rai
Elham Kowsari
N. Strokina
R. Ghabcheloo
126
0
0
17 Jun 2025
Uncertainty-Aware Remaining Lifespan Prediction from Images
Uncertainty-Aware Remaining Lifespan Prediction from Images
Tristan Kenneweg
Philip Kenneweg
Barbara Hammer
MedIm
225
0
0
16 Jun 2025
Decadal sink-source shifts of forest aboveground carbon since 1988
Decadal sink-source shifts of forest aboveground carbon since 1988
Zhen Qian
S. Bathiany
Teng Liu
Lana L. Blaschke
Hoong Chen Teo
Niklas Boers
135
0
0
13 Jun 2025
Improving Group Robustness on Spurious Correlation via Evidential Alignment
Improving Group Robustness on Spurious Correlation via Evidential Alignment
Wenqian Ye
Guangtao Zheng
Aidong Zhang
340
3
0
12 Jun 2025
End-to-End Probabilistic Framework for Learning with Hard Constraints
End-to-End Probabilistic Framework for Learning with Hard Constraints
Utkarsh Utkarsh
Danielle C. Maddix
Ruijun Ma
Michael W. Mahoney
Yuyang Wang
AI4TSBDL
354
1
0
08 Jun 2025
TRUST: Test-time Resource Utilization for Superior Trustworthiness
TRUST: Test-time Resource Utilization for Superior Trustworthiness
Haripriya Harikumar
Santu Rana
173
0
0
06 Jun 2025
Quantifying Adversarial Uncertainty in Evidential Deep Learning using Conflict Resolution
Quantifying Adversarial Uncertainty in Evidential Deep Learning using Conflict Resolution
Charmaine Barker
Daniel Bethell
Simos Gerasimou
AAML
334
0
0
06 Jun 2025
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric VideosComputer Vision and Pattern Recognition (CVPR), 2025
Vadim Tschernezki
Diane Larlus
Andrea Vedaldi
Iro Laina
266
0
0
05 Jun 2025
Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth
Jinyoung Jun
Lei Chu
Jiahao Li
Yan Lu
Chang-Su Kim
MDE
323
0
0
05 Jun 2025
Compositional Generalisation for Explainable Hate Speech Detection
Compositional Generalisation for Explainable Hate Speech Detection
Agostina Calabrese
Tom Sherborne
Bjorn Ross
Mirella Lapata
242
1
0
04 Jun 2025
Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
Yue Gong
Raul Castro Fernandez
127
1
0
03 Jun 2025
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and AttitudesAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Meng Li
Michael Vrazitulis
David Schlangen
229
0
0
02 Jun 2025
STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain
STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain
Ziwon Yoon
Lawrence Y. Zhu
Jingxi Lu
Lu Gan
Ye Zhao
319
0
0
01 Jun 2025
Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks
Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks
Lennart Bramlage
Cristóbal Curio
UQCV
268
1
0
01 Jun 2025
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty
Sebastián Jiménez
Mira Jürgens
Willem Waegeman
UDPER
725
2
0
29 May 2025
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
Yinong Oliver Wang
N. Sivakumar
Falaah Arif Khan
Rin Metcalf Susa
Adam Goliñski
Natalie Mackraz
B. Theobald
Luca Zappella
N. Apostoloff
290
1
0
29 May 2025
DIP-R1: Deep Inspection and Perception with RL Looking Through and Understanding Complex Scenes
DIP-R1: Deep Inspection and Perception with RL Looking Through and Understanding Complex Scenes
Sungjune Park
Hyunjun Kim
J. Kim
S. T. Kim
Y. Ro
LRM
367
6
0
29 May 2025
Hierarchical Material Recognition from Local Appearance
Hierarchical Material Recognition from Local Appearance
Matthew Beveridge
Shree K. Nayar
346
3
0
28 May 2025
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents
Michael Kirchhof
Gjergji Kasneci
Enkelejda Kasneci
LLMAG
318
11
0
28 May 2025
Revisiting Bayesian Model Averaging in the Era of Foundation Models
Revisiting Bayesian Model Averaging in the Era of Foundation Models
Mijung Park
UQCVMoMe
201
0
0
28 May 2025
An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction
An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction
Henryk Mustroph
Michel Kunkler
Stefanie Rinderle-Ma
288
2
0
27 May 2025
FlashMD: long-stride, universal prediction of molecular dynamics
FlashMD: long-stride, universal prediction of molecular dynamics
Filippo Bigi
Sanggyu Chong
Agustinus Kristiadi
Michele Ceriotti
AI4CE
234
6
0
25 May 2025
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