Yangyan Li
Yangyan Li
Alibaba Group
Verified email at - Homepage
Cited by
Cited by
PointCNN: Convolution on -Transformed Points
Y Li, R Bu, M Sun, W Wu, X Di, B Chen
Advances in Neural Information Processing Systems, 820-830, 2018
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
H Su, CR Qi, Y Li, L Guibas
2015 IEEE International Conference on Computer Vision, 2015
Globfit: Consistently fitting primitives by discovering global relations
Y Li, X Wu, Y Chrysathou, A Sharf, D Cohen-Or, NJ Mitra
ACM SIGGRAPH 2011 papers, 1-12, 2011
FPNN: Field Probing Neural Networks for 3D Data
Y Li, S Pirk, H Su, CR Qi, LJ Guibas
2016 Neural Information Processing Systems, 2016
Synthesizing Training Images for Boosting Human 3D Pose Estimation
W Chen, H Wang, Y Li, H Su, D Lischinsk, D Cohen-Or, B Chen
2016 International Conference on 3D Vision, 2016
Database-Assisted Object Retrieval for Real-Time 3D Reconstruction
Y Li, A Dai, L Guibas, M Nie▀ner
Computer Graphics Forum 34 (2), 435-446, 2015
Joint embeddings of shapes and images via CNN image purification
Y Li, H Su, CR Qi, N Fish, D Cohen-Or, LJ Guibas
ACM Transactions on Graphics (TOG) 34 (6), 234, 2015
DO-Conv: Depthwise over-parameterized convolutional layer
J Cao, Y Li, M Sun, Y Chen, D Lischinski, D Cohen-Or, B Chen, C Tu
IEEE Transactions on Image Processing, 2022
Non-local scan consolidation for 3D urban scenes
Q Zheng, A Sharf, G Wan, Y Li, NJ Mitra, D Cohen-Or, B Chen
ACM Trans. Graph. 29 (4), 94:1-94:9, 2010
SHREC’16 Track Large-Scale 3D Shape Retrieval from ShapeNet Core55
M Savva, F Yu, H Su, M Aono, B Chen, D Cohen-Or, W Deng, H Su, S Bai, ...
2016 Eurographics Workshop on 3D Object Retrieval, 2016
Face identity disentanglement via latent space mapping
Y Nitzan, A Bermano, Y Li, D Cohen-Or
arXiv preprint arXiv:2005.07728, 2020
Analyzing growing plants from 4D point cloud data
Y Li, X Fan, NJ Mitra, D Chamovitz, D Cohen-Or, B Chen
ACM Transactions on Graphics (TOG) 32 (6), 1-10, 2013
Activity-centric scene synthesis for functional 3D scene modeling
M Fisher, M Savva, Y Li, P Hanrahan, M Nie▀ner
ACM Transactions on Graphics (TOG) 34 (6), 179, 2015
Shapeconv: Shape-aware convolutional layer for indoor rgb-d semantic segmentation
J Cao, H Leng, D Lischinski, D Cohen-Or, C Tu, Y Li
Proceedings of the IEEE/CVF international conference on computer visioná…, 2021
Estimating image depth using shape collections
H Su, Q Huang, NJ Mitra, Y Li, L Guibas
ACM Transactions on Graphics (TOG) 33 (4), 1-11, 2014
2D-3D fusion for layer decomposition of urban facades
Y Li, Q Zheng, A Sharf, D Cohen-Or, B Chen, NJ Mitra
2011 International Conference on Computer Vision, 882-889, 2011
Large-scale 3d shape reconstruction and segmentation from shapenet core55
L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ...
arXiv preprint arXiv:1710.06104, 2017
Dida: Disentangled synthesis for domain adaptation
J Cao, O Katzir, P Jiang, D Lischinski, D Cohen-Or, C Tu, Y Li
arXiv preprint arXiv:1805.08019, 2018
Knowledge-based trajectory completion from sparse GPS samples
Y Li, Y Li, D Gunopulos, L Guibas
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advancesá…, 2016
Selecting precise reference normal tissue samples for cancer research using a deep learning approach
WZD Zeng, BS Glicksberg, Y Li, B Chen
BMC Medical Genomics 12, 179-189, 2019
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