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Li Nanbo
Li Nanbo
Bestätigte E-Mail-Adresse bei kaust.edu.sa - Startseite
Titel
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Jahr
Learning object-centric representations of multi-object scenes from multiple views
L Nanbo, C Eastwood, R Fisher
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
45*2020
SDF-MAN: Semi-Supervised Disparity Fusion with Multi-Scale Adversarial Networks
C Pu, R Song, R Tylecek, N Li, RB Fisher
Remote Sensing 11 (5), 487, 2019
152019
Hybrid multi-camera visual servoing to moving target
H Cuevas-Velasquez, N Li, R Tylecek, M Saval-Calvo, RB Fisher
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
152018
DUGMA: Dynamic uncertainty-based Gaussian mixture alignment
C Pu, N Li, R Tylecek, B Fisher
2018 International Conference on 3D Vision (3DV), 766-774, 2018
12*2018
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
L Nanbo, MA Raza, H Wenbin, Z Sun, RB Fisher
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
10*2021
TiV-ODE: A Neural ODE-based Approach for Controllable Video Generation From Text-Image Pairs
Y Xu, L Nanbo, A Goel, Z Yao, Z Guo, H Kasaei, M Kasaei, A Li
2024 IEEE International Conference on Robotics and Automation, 2024
3*2024
A Robust Deformable Linear Object Perception Pipeline in 3D: From Segmentation to Reconstruction
S Zhaole, H Zhou, L Nanbo, L Chen, J Zhu, RB Fisher
IEEE Robotics and Automation Letters 9 (1), 843-850, 2023
32023
Duplicate Latent Representation Suppression for Multi-object Variational Autoencoders
L Nanbo, RB Fisher
The 32nd British Machine Vision Conference, 2021
22021
EatSense: Human centric, action recognition and localization dataset for understanding eating behaviors and quality of motion assessment
MA Raza, L Chen, L Nanbo, RB Fisher
Image and Vision Computing 137, 104762, 2023
12023
Align-Deform-Subtract: An Interventional Framework for Explaining Object Differences
C Eastwood, L Nanbo, CKI Williams
arXiv preprint arXiv:2203.04694, 2022
2022
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