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2020 – today
- 2022
[c7]Matt Vitelli, Yan Chang, Yawei Ye, Ana Ferreira, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska:
SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies. ICRA 2022: 897-904- 2021
- [i8]Matt Vitelli, Yan Chang, Yawei Ye, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska:
SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies. CoRR abs/2109.13602 (2021) - [i7]Sammy Sidhu, Linda Wang, Tayyab Naseer, Ashish Malhotra, Jay Chia, Aayush Ahuja, Ella Rasmussen, Qiangui Huang, Ray Gao:
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles. CoRR abs/2112.00219 (2021)
2010 – 2019
- 2018
- [c6]Weiyue Wang, Ronald Yu, Qiangui Huang, Ulrich Neumann:
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation. CVPR 2018: 2569-2578 - [c5]Qiangui Huang, Weiyue Wang, Ulrich Neumann:
Recurrent Slice Networks for 3D Segmentation of Point Clouds. CVPR 2018: 2626-2635 - [c4]Qiangui Huang, Shaohua Kevin Zhou, Suya You, Ulrich Neumann:
Learning to Prune Filters in Convolutional Neural Networks. WACV 2018: 709-718 - [i6]Qiangui Huang, Shaohua Kevin Zhou, Suya You, Ulrich Neumann:
Learning to Prune Filters in Convolutional Neural Networks. CoRR abs/1801.07365 (2018) - [i5]Qiangui Huang, Weiyue Wang, Ulrich Neumann:
Recurrent Slice Networks for 3D Segmentation on Point Clouds. CoRR abs/1802.04402 (2018) - 2017
- [c3]Weiyue Wang, Qiangui Huang, Suya You, Chao Yang, Ulrich Neumann:
Shape Inpainting Using 3D Generative Adversarial Network and Recurrent Convolutional Networks. ICCV 2017: 2317-2325 - [c2]Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu
:
Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. IPMI 2017: 633-644 - [c1]Zhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou:
Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning. MICCAI (3) 2017: 338-346 - [i4]Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu:
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. CoRR abs/1705.05998 (2017) - [i3]Weiyue Wang, Qiangui Huang, Suya You, Chao Yang, Ulrich Neumann:
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks. CoRR abs/1711.06375 (2017) - [i2]Weiyue Wang, Ronald Yu, Qiangui Huang, Ulrich Neumann:
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation. CoRR abs/1711.08588 (2017) - 2016
- [j2]Qiangui Huang, Boya Hao, Sheng Chang:
Adaptive digital ridgelet transform and its application in image denoising. Digit. Signal Process. 52: 45-54 (2016) - [i1]Qiangui Huang, Weiyue Wang, Shaohua Kevin Zhou, Suya You, Ulrich Neumann:
Scene Labeling using Recurrent Neural Networks with Explicit Long Range Contextual Dependency. CoRR abs/1611.07485 (2016) - 2015
- [j1]Qiangui Huang, Sheng Chang, Chun Liu, Binbin Niu, Meng Tang, Zhe Zhou:
An evaluation of fake fingerprint databases utilizing SVM classification. Pattern Recognit. Lett. 60-61: 1-7 (2015)
Coauthor Index
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