Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with
Noisy Supervision

Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision

4 November 2019

Adrien Gaidon

Juan Carlos Niebles

Papers citing "Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision"

7 / 7 papers shown

Title
SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving Honghao Fu Libo Sun Yilang Shen Yiwen Wu 12 0 0 06 Jun 2023
Adversarial Attention for Human Motion Synthesis Matthew Malek-Podjaski F. Deligianni AAML 14 2 0 25 Apr 2022
Joint Forecasting of Panoptic Segmentations with Difference Attention Colin Graber Cyril Jazra Wenjie Luo Liangyan Gui A. Schwing AI4TS 16 1 0 14 Apr 2022
Under the Hood of Transformer Networks for Trajectory Forecasting Luca Franco Leonardo Placidi Francesco Giuliari Irtiza Hasan Marco Cristani Fabio Galasso 6 19 0 22 Mar 2022
"If you could see me through my eyes": Predicting Pedestrian Perception Julian Petzold Mostafa Wahby F. Stark Ulrich Behrje Heiko Hamann 34 3 0 28 Feb 2022
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction Junwei Liang Lu Jiang Alexander G. Hauptmann 26 18 0 04 Apr 2020
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction Bingbin Liu Ehsan Adeli Zhangjie Cao Kuan-Hui Lee Abhijeet Shenoi Adrien Gaidon Juan Carlos Niebles 14 147 0 20 Feb 2020