Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow

20 February 2018

Thomas Brox

Papers citing "Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow"

50 / 55 papers shown

Title
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation Shipeng Liu Ziliang Xiong Bastian Wandt Per-Erik Forssén 45 0 0 04 May 2025
POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality Joey Wilson Marcelino Almeida Sachit Mahajan Martin Labrie Maani Ghaffari Omid Ghasemalizadeh Min Sun Cheng-Hao Kuo Arnab Sen 3DGS 60 0 0 10 Mar 2025
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution Yingda Yin Jiangran Lyu Yang Wang Heru Wang H. Wang Bin Chen OOD 105 4 0 24 Feb 2025
Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior Lee Hyoseok Kyeong Seon Kim Kwon Byung-Ki Tae-Hyun Oh MDE 206 0 0 10 Feb 2025
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 59 0 0 09 Feb 2025
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 77 3 0 20 Jan 2025
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter Yitian Shi Edgar Welte Maximilian Gilles Rania Rayyes 40 3 0 06 Nov 2024
LatentBKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces with Quantifiable Uncertainty Joey Wilson Ruihan Xu Yile Sun Parker Ewen Minghan Zhu Kira Barton Maani Ghaffari 43 0 0 15 Oct 2024
Annealed Winner-Takes-All for Motion Forecasting Yihong Xu Victor Letzelter Mickaël Chen Éloi Zablocki Matthieu Cord 209 1 0 17 Sep 2024
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network Tianyu Xiong Skylar W. Wurster Hanqi Guo Tom Peterka Han-Wei Shen UQCV 58 1 0 26 Jul 2024
IOVS4NeRF:Incremental Optimal View Selection for Large-Scale NeRFs Jingpeng Xie Shiyu Tan Yuanlei Wang Yizhen Lao Yifei Xue Yizhen Lao 56 0 0 26 Jul 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees E. Nehme Rotem Mulayoff T. Michaeli UQCV 48 2 0 24 May 2024
Uncertainty Quantification Metrics for Deep Regression Simon Kristoffersson Lind Ziliang Xiong Per-Erik Forssén Volker Kruger UQCV 34 3 0 07 May 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 53 5 0 25 Mar 2024
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation M. Dreissig Florian Piewak Joschka Boedecker UQCV 21 6 0 04 Aug 2023
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond Junyu Chen Yihao Liu Shuwen Wei Zhangxing Bian Shalini Subramanian A. Carass Jerry L. Prince Yong Du OOD 48 36 0 28 Jul 2023
Integrating Uncertainty into Neural Network-based Speech Enhancement Hu Fang Dennis Becker S. Wermter Timo Gerkmann UQCV 32 2 0 15 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 35 75 0 07 May 2023
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation Liyan Chen Weihan Wang Philippos Mordohai UQCV 13 27 0 31 Mar 2023
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation Yingda Yin Yang Wang He Wang Bin Chen 17 12 0 03 Mar 2023
Bayesian Deep Learning for Affordance Segmentation in images Lorenzo Mur-Labadia Ruben Martinez-Cantin Jose J. Guerrero BDL UQCV 16 11 0 02 Mar 2023
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines Michael Weiss Paolo Tonella BDL UQCV 30 11 0 14 Dec 2022
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios Liangzu Peng Jun Li Wenbo Shao Hong Wang 37 9 0 07 Nov 2022
Unsupervised confidence for LiDAR depth maps and applications Andrea Conti Matteo Poggi Filippo Aleotti S. Mattoccia 3DV 31 12 0 06 Oct 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 21 4 0 30 Aug 2022
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial Odometry Ying Xu Guido de Croon BDL 41 5 0 30 Aug 2022
Latent Discriminant deterministic Uncertainty Gianni Franchi Xuanlong Yu Andrei Bursuc Emanuel Aldea Séverine Dubuisson David Filliat UQCV 26 18 0 20 Jul 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 37 52 0 16 Jun 2022
Learning Probabilistic Topological Representations Using Discrete Morse Theory Xiaoling Hu Dimitris Samaras Chao Chen 21 20 0 03 Jun 2022
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty Liqian Ma Stamatios Georgoulis Xu Jia Luc Van Gool 32 6 0 04 Apr 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks Gianni Franchi Xuanlong Yu Andrei Bursuc Ángel Tena Rémi Kazmierczak Séverine Dubuisson Emanuel Aldea David Filliat UQCV 26 28 0 02 Mar 2022
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging Anastasios Nikolas Angelopoulos Amit Kohli Stephen Bates Michael I. Jordan Jitendra Malik T. Alshaabi S. Upadhyayula Yaniv Romano UQCV OOD 16 94 0 10 Feb 2022
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection Bo Sun Jiaxu Xing Hermann Blum Roland Siegwart Cesar Cadena 41 12 0 06 Oct 2021
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation Gwangbin Bae Ignas Budvytis R. Cipolla 32 113 0 20 Sep 2021
A framework for benchmarking uncertainty in deep regression F. Schmähling Jörg Martin Clemens Elster UQCV 40 8 0 10 Sep 2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty Chao Qu Wenxin Liu Camillo J Taylor UQCV BDL 22 31 0 29 Mar 2021
Learning to Segment Rigid Motions from Two Frames Gengshan Yang Deva Ramanan 119 56 0 11 Jan 2021
Learning Accurate Dense Correspondences and When to Trust Them Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 3DH 3DPC 79 129 0 05 Jan 2021
Volumetric Occupancy Mapping With Probabilistic Depth Completion for Robotic Navigation Marija Popović Florian Thomas Sotiris Papatheodorou Nils Funk Teresa Vidal-Calleja Stefan Leutenegger 3DV 50 20 0 05 Dec 2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 24 223 0 20 Nov 2020
Deep Multi-view Depth Estimation with Predicted Uncertainty Tong Ke Tien Do Khiem Vuong K. Sartipi S. Roumeliotis UQCV 3DPC 16 16 0 19 Nov 2020
AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild Zhe Zhang Chunyu Wang Weichao Qiu Wenhu Qin Wenjun Zeng 3DH 24 87 0 26 Oct 2020
Uncertainty Estimation and Sample Selection for Crowd Counting Viresh Ranjan Boyu Wang M. Shah Minh Hoai UQCV 24 25 0 30 Sep 2020
On the uncertainty of self-supervised monocular depth estimation Matteo Poggi Filippo Aleotti Fabio Tosi S. Mattoccia UQCV MDE 33 263 0 13 May 2020
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood Abhinav Kumar Tim K. Marks Wenxuan Mou Ye Wang Michael J. Jones A. Cherian T. Koike-Akino Xiaoming Liu Chen Feng CVBM 3DV 25 150 0 06 Apr 2020
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi Hao Wang Yonglong Tian Hao He Nir Shavit UQCV 21 30 0 28 Sep 2019
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images Christiane Zimmermann Duygu Ceylan Jimei Yang Bryan C. Russell Max Argus Thomas Brox 3DH 189 399 0 10 Sep 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz Jakob Verbeek VLM 30 22 0 19 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 36 192 0 09 Jun 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 41 989 0 21 Feb 2019