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Ming Liang
Ming Liang
Department of Computer Science and Technology, Tsinghua University
Verified email at mails.tsinghua.edu.cn
Title
Cited by
Cited by
Year
Recurrent convolutional neural network for object recognition
M Liang, X Hu
Proceedings of the IEEE conference on computer vision and pattern …, 2015
10932015
Defense against adversarial attacks using high-level representation guided denoiser
F Liao, M Liang, Y Dong, T Pang, X Hu, J Zhu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
6512018
Deep continuous fusion for multi-sensor 3d object detection
M Liang, B Yang, S Wang, R Urtasun
Proceedings of the European conference on computer vision (ECCV), 641-656, 2018
6362018
Multi-task multi-sensor fusion for 3d object detection
M Liang, B Yang, Y Chen, R Hu, R Urtasun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
4772019
Evaluate the malignancy of pulmonary nodules using the 3-d deep leaky noisy-or network
F Liao, M Liang, Z Li, X Hu, S Song
IEEE transactions on neural networks and learning systems 30 (11), 3484-3495, 2019
3502019
Hdnet: Exploiting hd maps for 3d object detection
B Yang, M Liang, R Urtasun
Conference on Robot Learning, 146-155, 2018
2712018
Adversarial attacks and defences competition
A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ...
The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018
2462018
Learning lane graph representations for motion forecasting
M Liang, B Yang, R Hu, Y Chen, R Liao, S Feng, R Urtasun
European Conference on Computer Vision, 541-556, 2020
1842020
Traffic sign detection by ROI extraction and histogram features-based recognition
M Liang, M Yuan, X Hu, J Li, H Liu
The 2013 international joint conference on Neural networks (IJCNN), 1-8, 2013
1082013
Learning joint 2d-3d representations for depth completion
Y Chen, B Yang, M Liang, R Urtasun
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1072019
Physically realizable adversarial examples for lidar object detection
J Tu, M Ren, S Manivasagam, M Liang, B Yang, R Du, F Cheng, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1002020
Pnpnet: End-to-end perception and prediction with tracking in the loop
M Liang, B Yang, W Zeng, Y Chen, R Hu, S Casas, R Urtasun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
912020
V2vnet: Vehicle-to-vehicle communication for joint perception and prediction
TH Wang, S Manivasagam, M Liang, B Yang, W Zeng, R Urtasun
European Conference on Computer Vision, 605-621, 2020
732020
Convolutional neural networks with intra-layer recurrent connections for scene labeling
M Liang, X Hu, B Zhang
Advances in neural information processing systems 28, 2015
732015
End-to-end contextual perception and prediction with interaction transformer
LL Li, B Yang, M Liang, W Zeng, M Ren, S Segal, R Urtasun
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
632020
Radarnet: Exploiting radar for robust perception of dynamic objects
B Yang, R Guo, M Liang, S Casas, R Urtasun
European Conference on Computer Vision, 496-512, 2020
572020
Identifying unknown instances for autonomous driving
K Wong, S Wang, M Ren, M Liang, R Urtasun
Conference on Robot Learning, 384-393, 2020
512020
Lanercnn: Distributed representations for graph-centric motion forecasting
W Zeng, M Liang, R Liao, R Urtasun
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
502021
Feature selection in supervised saliency prediction
M Liang, X Hu
IEEE Transactions on Cybernetics 45 (5), 914-926, 2014
332014
Predicting eye fixations with higher-level visual features
M Liang, X Hu
IEEE Transactions on Image Processing 24 (3), 1178-1189, 2015
242015
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Articles 1–20