Learning in an Uncertain World: Representing Ambiguity Through Multiple
Hypotheses

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses

1 December 2016

Christian Rupprecht

Maximilian Baust

Federico Tombari

Nassir Navab

Gregory D. Hager

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

16 / 16 papers shown

Title
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution Yingda Yin Jiangran Lyu Yang Wang Heru Wang H. Wang B. Chen OOD 75 3 0 24 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 50 2 0 20 Jan 2025
Annealed Winner-Takes-All for Motion Forecasting Yihong Xu Victor Letzelter Mickaël Chen Éloi Zablocki Matthieu Cord 23 1 0 17 Sep 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees E. Nehme Rotem Mulayoff T. Michaeli UQCV 21 2 0 24 May 2024
No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning Xiang Li Songcan Chen OffRL 18 1 0 14 Aug 2023
Topology-Aware Uncertainty for Image Segmentation Saumya Gupta Yikai Zhang Xiaoling Hu Prateek Prasanna Chao Chen 13 27 0 09 Jun 2023
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 12 19 0 08 Nov 2022
MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views H. Zeng Xin Yu Jiaxu Miao Yezhou Yang 3DV 12 8 0 19 Jul 2022
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss Sanmin Kim Hyeongseok Jeon Junwon Choi Dongsuk Kum 17 21 0 17 Jun 2022
Bootstrap Motion Forecasting With Self-Consistent Constraints Maosheng Ye Jiamiao Xu Xun Xu Tengfei Wang Tongyi Cao Qifeng Chen 20 19 0 12 Apr 2022
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction Inhwan Bae Jin-Hwi Park Hae-Gon Jeon 4 53 0 25 Mar 2022
Context-Aware Scene Prediction Network (CASPNet) Maximilian Schäfer Kun-li Zhao Markus Bühren A. Kummert 22 8 0 18 Jan 2022
Learning High-Speed Flight in the Wild Antonio Loquercio Elia Kaufmann René Ranftl Matthias Muller V. Koltun Davide Scaramuzza 18 284 0 11 Oct 2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction Sriram Narayanan Ramin Moslemi Francesco Pittaluga Buyu Liu Manmohan Chandraker 11 55 0 16 Apr 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 9,042 0 06 Jun 2015
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 176 2,943 0 15 Dec 2014