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Dong Lao
Dong Lao
Postdoctoral Research Fellow, UCLA
在 ucla.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Phase consistent ecological domain adaptation
Y Yang*, D Lao*, G Sundaramoorthi, S Soatto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1302020
Extending layered models to 3d motion
D Lao, G Sundaramoorthi
Proceedings of the European conference on computer vision (ECCV), 435-451, 2018
412018
Minimum delay moving object detection
D Lao, G Sundaramoorthi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
212017
Flow-Guided Video Inpainting with Scene Templates
D Lao, P Zhu, P Wonka, G Sundaramoorthi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
122021
Minimum delay object detection from video
D Lao, G Sundaramoorthi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
122019
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
Y Sun, D Lao, G Sundaramoorthi, A Yezzi
Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022
92022
Complex and coupled complex negative order AKNS equation
GF Yu, D Lao
Communications in Nonlinear Science and Numerical Simulation 30 (1-3), 196-206, 2016
92016
On the viability of monocular depth pre-training for semantic segmentation
D Lao, A Wong, S Lu, S Soatto
6*2022
Augundo: Scaling up augmentations for unsupervised depth completion
Y Wu, TY Liu, H Park, S Soatto, D Lao, A Wong
arXiv preprint arXiv:2310.09739, 2023
42023
Accelerated pdes for construction and theoretical analysis of an sgd extension
Y Sun, D Lao, G Sundaramoorthi, A Yezzi
The Symbiosis of Deep Learning and Differential Equations, 2021
42021
Channel-directed gradients for optimization of convolutional neural networks
D Lao, P Zhu, P Wonka, G Sundaramoorthi
arXiv preprint arXiv:2008.10766, 2020
32020
WorDepth: Variational Language Prior for Monocular Depth Estimation
Z Zeng, D Wang, F Yang, H Park, Y Wu, S Soatto, BW Hong, D Lao, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
22024
Divided Attention: Unsupervised Multiple-object Discovery and Segmentation with Interpretable Contextually Separated Slots
D Lao, Z Hu, F Locatello, Y Yang, S Soatto
2*2023
Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation
D Lao, C Wang, A Wong, S Soatto
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2024
A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks
Y Sun, D Lao, A Yezzi, G Sundaramoorthi
Journal of Machine Learning Research 25, 1-40, 2024
2024
Sub-token ViT Embedding via Stochastic Resonance Transformers
D Lao, Y Wu, TY Liu, A Wong, S Soatto
International Conference on Machine Learning, 2024, 2023
2023
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