Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting

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Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting

11 July 2022

Ulrich Neumann

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Papers citing "Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting"

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Title
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction Tianyang Zhao Yifei Xu Mathew Monfort Wongun Choi Chris L. Baker Yibiao Zhao Yizhou Wang Ying Nian Wu 54 400 0 09 Apr 2019
nuScenes: A multimodal dataset for autonomous driving Holger Caesar Varun Bankiti Alex H. Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yuxin Pan G. Baldan Oscar Beijbom 3DPC 303 5,790 0 26 Mar 2019
Peeking into the Future: Predicting Future Person Activities and Locations in Videos Junwei Liang Lu Jiang Juan Carlos Niebles Alexander G. Hauptmann Li Fei-Fei 64 379 0 11 Feb 2019
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang Wenqi Li Michael Aertsen Jan Deprest Sebastien Ourselin Tom Vercauteren UQCV MedIm OOD 167 593 0 19 Jul 2018
MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses Irtiza Hasan Francesco Setti T. Tsesmelis Alessio Del Bue Fabio Galasso Marco Cristani 60 120 0 02 May 2018
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection Di Feng Lars Rosenbaum Klaus C. J. Dietmayer 3DPC UQCV 74 247 0 13 Apr 2018
Structured Uncertainty Prediction Networks Garoe Dorta Sara Vicente Lourdes Agapito Neill D. F. Campbell Ivor J. A. Simpson UQCV 86 63 0 20 Feb 2018
Future Person Localization in First-Person Videos Takuma Yagi K. Mangalam Ryo Yonetani Yoichi Sato EgoV 98 166 0 30 Nov 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 274 3,136 0 19 May 2017
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee Wongun Choi Paul Vernaza Chris Choy Philip Torr Manmohan Chandraker AI4TS 105 996 0 14 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,724 0 15 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 894 9,364 0 06 Jun 2015