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Weiming (William) Zhi
Weiming (William) Zhi
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Using transfer learning with convolutional neural networks to diagnose breast cancer from histopathological images
W Zhi, HWF Yeung, Z Chen, SM Zandavi, Z Lu, YY Chung
International Conference on Neural Information Processing, 669-676, 2017
702017
Using convolutional neural networks and transfer learning for bone age classification
J Zhou, Z Li, W Zhi, B Liang, D Moses, L Dawes
2017 International Conference on Digital Image Computing: Techniques and …, 2017
482017
Spatiotemporal learning of directional uncertainty in urban environments with kernel recurrent mixture density networks
W Zhi, R Senanayake, L Ott, F Ramos
IEEE Robotics and Automation Letters 4 (4), 4306-4313, 2019
392019
Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps
W Zhi, L Ott, R Senanayake, F Ramos
IEEE International Conference on Robotics and Automation (ICRA), 2019
332019
Parallelised diffeomorphic sampling-based motion planning
T Lai, W Zhi, T Hermans, F Ramos
Conference on Robot Learning, 81-90, 2022
312022
Learning efficient and robust ordinary differential equations via invertible neural networks
W Zhi, T Lai, L Ott, EV Bonilla, F Ramos
International Conference on Machine Learning, 27060-27074, 2022
22*2022
Diffeomorphic Transforms for Generalised Imitation Learning.
W Zhi, T Lai, L Ott, F Ramos
🏆 L4DC, 508-519, 2022
172022
Kernel trajectory maps for multi-modal probabilistic motion prediction
W Zhi, L Ott, F Ramos
Conference on Robot Learning, 1405-1414, 2020
172020
Global and reactive motion generation with geometric fabric command sequences
W Zhi, I Akinola, K Van Wyk, ND Ratliff, F Ramos
2023 IEEE International Conference on Robotics and Automation (ICRA), 939-945, 2023
152023
Trajectory Generation in New Environments from Past Experiences
W Zhi, T Lai, L Ott, F Ramos
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
15*2021
DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark
T Zhang, K Huang, W Zhi, M Johnson-Roberson
IROS 2024 (Selected Long Oral), 2024
102024
Anticipatory navigation in crowds by probabilistic prediction of pedestrian future movements
W Zhi, T Lai, L Ott, F Ramos
2021 IEEE International Conference on Robotics and Automation (ICRA), 8459-8464, 2021
82021
Occ-traj120: Occupancy maps with associated trajectories
T Lai, W Zhi, F Ramos
arXiv preprint arXiv:1909.02333, 2019
82019
V-prism: Probabilistic mapping of unknown tabletop scenes
H Wright, W Zhi, M Johnson-Roberson, T Hermans
IROS 2024, 2024
72024
Instructing Robots by Sketching: Learning from demonstration via probabilistic diagrammatic teaching
W Zhi, T Zhang, M Johnson-Roberson
IEEE International Conference on Robotics and Automation (ICRA) 2024, 2024
7*2024
Probabilistic trajectory prediction with structural constraints
W Zhi, L Ott, F Ramos
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
52021
Using hidden markov model to predict human actions with swarm intelligence
Z Lu, YY Chung, HWF Yeung, SM Zandavi, W Zhi, WC Yeh
Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017
52017
Layer removal for transfer learning with deep convolutional neural networks
W Zhi, Z Chen, HWF Yueng, Z Lu, SM Zandavi, YY Chung
Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017
52017
A novel ant colony detection using multi-region histogram for object tracking
SM Zandavi, F Sha, V Chung, Z Lu, W Zhi
Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017
42017
Recgs: Removing water caustic with recurrent gaussian splatting
T Zhang, W Zhi, K Huang, J Mangelson, C Barbalata, ...
arXiv preprint arXiv:2407.10318, 2024
32024
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Articles 1–20