Conditional Entropy Coding for Efficient Video Compression

no code implementations • ECCV 2020 • Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun

We propose a very simple and efficient video compression framework that only focuses on modeling the conditional entropy between frames.

MS-SSIM SSIM +1

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

no code implementations • ECCV 2020 • Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun

In this paper we propose a novel end-to-end learnable network that performs joint perception, prediction and motion planning for self-driving vehicles and produces interpretable intermediate representations.

Motion Planning