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
7002015
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
2562018
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
2122018
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
1432019
Multi-task multi-sensor fusion for 3d object detection
M Liang, B Yang, Y Chen, R Hu, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
1132019
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
1042018
Hdnet: Exploiting hd maps for 3d object detection
B Yang, M Liang, R Urtasun
Conference on Robot Learning, 146-155, 2018
942018
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
842013
Convolutional neural networks with intra-layer recurrent connections for scene labeling
M Liang, X Hu, B Zhang
Advances in Neural Information Processing Systems, 937-945, 2015
562015
Feature selection in supervised saliency prediction
M Liang, X Hu
IEEE Transactions on Cybernetics 45 (5), 914-926, 2014
222014
Predicting eye fixations with higher-level visual features
M Liang, X Hu
IEEE Transactions on Image Processing 24 (3), 1178-1189, 2015
202015
Learning joint 2d-3d representations for depth completion
Y Chen, B Yang, M Liang, R Urtasun
Proceedings of the IEEE International Conference on Computer Vision, 10023-10032, 2019
182019
A reverse hierarchy model for predicting eye fixations
T Shi, M Liang, X Hu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
132014
Identifying unknown instances for autonomous driving
K Wong, S Wang, M Ren, M Liang, R Urtasun
Conference on Robot Learning, 384-393, 2020
72020
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
72020
Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, and Motoki Abe
A Kurakin, IJ Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ...
Adversarial attacks and defences competition. arXiv, abs/1804.00097, 2018
62018
End-to-end contextual perception and prediction with interaction transformer
LL Li, B Yang, M Liang, W Zeng, M Ren, S Segal, R Urtasun
arXiv preprint arXiv:2008.05927, 2020
42020
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
B Yang, R Guo, M Liang, S Casas, R Urtasun
arXiv preprint arXiv:2007.14366, 2020
32020
Learning lane graph representations for motion forecasting
M Liang, B Yang, R Hu, Y Chen, R Liao, S Feng, R Urtasun
arXiv preprint arXiv:2007.13732, 2020
32020
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
32020
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