activity
20172021
most citedInteractive 3D Modeling with a Generative Adversarial Network

21 citations · 56 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021★ 1 cited

Deep Structured Reactive Planning

Jerry Liu, Wenyuan Zeng, Raquel Urtasun +1

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…

eess.IV2020★ 14 cited

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

Sourav Biswas, Jerry Liu, Kelvin Wong +2

We present a novel compression algorithm for reducing the storage of LiDAR sensor data streams. Our model exploits spatio-temporal relationships across multiple LiDAR sweeps to red…

eess.IV2020★ 4 cited

Conditional Entropy Coding for Efficient Video Compression

Jerry Liu, Shenlong Wang, Wei-Chiu Ma +4

We propose a very simple and efficient video compression framework that only focuses on modeling the conditional entropy between frames. Unlike prior learning-based approaches, we…

eess.IV2020★ 14 cited

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

Lila Huang, Shenlong Wang, Kelvin Wong +2

We present a novel deep compression algorithm to reduce the memory footprint of LiDAR point clouds. Our method exploits the sparsity and structural redundancy between points to red…

eess.IV2019★ 2 cited

DSIC: Deep Stereo Image Compression

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.…

cs.CV2017★ 21 cited

Interactive 3D Modeling with a Generative Adversarial Network

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. The user edits a voxel…