no code implementations • 18 Jan 2021 • Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer
An intelligent agent operating in the real-world must balance achieving its goal with maintaining the safety and comfort of not only itself, but also other participants within the surrounding scene.
no code implementations • NeurIPS 2020 • Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun
Our model exploits spatio-temporal relationships across multiple LiDAR sweeps to reduce the bitrate of both geometry and intensity values.
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.
no code implementations • WS 2020 • Jerry Liu, Nathan O{'}Hara, Alex Rubin, er, Rachel Draelos, Cynthia Rudin
The detection of metaphors can provide valuable information about a given text and is crucial to sentiment analysis and machine translation.
6 code implementations • CVPR 2020 • Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun
We present a novel deep compression algorithm to reduce the memory footprint of LiDAR point clouds.
1 code implementation • ICCV 2019 • Jerry Liu, Shenlong Wang, Raquel Urtasun
In this paper we tackle the problem of stereo image compression, and leverage the fact that the two images have overlapping fields of view to further compress the representations.
no code implementations • 16 Jun 2017 • Jerry Liu, Fisher Yu, Thomas Funkhouser
This paper proposes the idea of using a generative adversarial network (GAN) to assist a novice user in designing real-world shapes with a simple interface.