no code implementations • 1 Dec 2021 • Sammy Sidhu, Linda Wang, Tayyab Naseer, Ashish Malhotra, Jay Chia, Aayush Ahuja, Ella Rasmussen, Qiangui Huang, Ray Gao
This paves the way for the industry to jointly design hardware and software architectures as well as large fleets with heterogeneous configurations.
no code implementations • 28 Sep 2021 • Matt Vitelli, Yan Chang, Yawei Ye, Maciej Wołczyk, Błażej Osiński, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska
To combat this, our approach uses a simple yet effective rule-based fallback layer that performs sanity checks on an ML planner's decisions (e. g. avoiding collision, assuring physical feasibility).
2 code implementations • CVPR 2018 • Qiangui Huang, Weiyue Wang, Ulrich Neumann
The key component of the RSNet is a lightweight local dependency module.
Ranked #46 on Semantic Segmentation on S3DIS
no code implementations • 23 Jan 2018 • Qiangui Huang, Kevin Zhou, Suya You, Ulrich Neumann
Specifically, we introduce a "try-and-learn" algorithm to train pruning agents that remove unnecessary CNN filters in a data-driven way.
1 code implementation • CVPR 2018 • Weiyue Wang, Ronald Yu, Qiangui Huang, Ulrich Neumann
Experimental results on various 3D scenes show the effectiveness of our method on 3D instance segmentation, and we also evaluate the capability of SGPN to improve 3D object detection and semantic segmentation results.
Ranked #1 on 3D Semantic Instance Segmentation on ScanNetV1
1 code implementation • ICCV 2017 • Weiyue Wang, Qiangui Huang, Suya You, Chao Yang, Ulrich Neumann
The 3D-ED-GAN is a 3D convolutional neural network trained with a generative adversarial paradigm to fill missing 3D data in low-resolution.
no code implementations • 17 May 2017 • Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, S. Kevin Zhou, Zhoubing Xu, Jin-Hyeong Park, Mingqing Chen, Trac. D. Tran, Sang Peter Chin, Dimitris Metaxas, Dorin Comaniciu
In this paper, we propose an automatic and fast algorithm to localize and label the vertebra centroids in 3D CT volumes.
no code implementations • 22 Nov 2016 • Qiangui Huang, Weiyue Wang, Kevin Zhou, Suya You, Ulrich Neumann
A novel neural network architecture is built for scene labeling tasks where one of the variants of the new RNN unit, Gated Recurrent Unit with Explicit Long-range Conditioning (GRU-ELC), is used to model multi scale contextual dependencies in images.