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Qingyang Tan
Qingyang Tan
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Variational Autoencoders for Deforming 3D Mesh Models
Q Tan, L Gao, YK Lai, S Xia
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
2182018
Mesh-based Autoencoders for Localized Deformation Component Analysis
Q Tan, L Gao, YK Lai, J Yang, S Xia
AAAI Conference on Artificial Intelligence, 2018
672018
Realtime Simulation of Thin-Shell Deformable Materials Using CNN-Based Mesh Embedding
Q Tan, Z Pan, L Gao, D Manocha
IEEE Robotics and Automation Letters 5 (2), 2325-2332, 2020
252020
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance
Q Tan, T Fan, J Pan, D Manocha
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
222020
Multiscale Mesh Deformation Component Analysis With Attention-Based Autoencoders
J Yang, L Gao, Q Tan, Y Huang, S Xia, YK Lai
IEEE Transactions on Visualization and Computer Graphics, 2020
152020
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints
Q Tan, Z Pan, D Manocha
AAAI Conference on Artificial Intelligence, 2021
122021
A genetically engineered Escherichia coli that senses and degrades tetracycline antibiotic residue
Z Mu, Z Zou, Y Yang, W Wang, Y Xu, J Huang, R Cai, Y Liu, Y Mo, B Wang, ...
Synthetic and Systems Biotechnology 3 (3), 196-203, 2018
72018
A repulsive force unit for garment collision handling in neural networks
Q Tan, Y Zhou, T Wang, D Ceylan, X Sun, D Manocha
European Conference on Computer Vision, 451-467, 2022
62022
N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
Q Tan, Z Pan, B Smith, T Shiratori, D Manocha
International Conference on Machine Learning, 21037-21049, 2022
6*2022
Variational Autoencoders for Localized Mesh Deformation Component Analysis
Q Tan, LX Zhang, J Yang, YK Lai, L Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6297 …, 2021
62021
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