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 | 130 | 2020 |
Extending layered models to 3d motion D Lao, G Sundaramoorthi Proceedings of the European conference on computer vision (ECCV), 435-451, 2018 | 41 | 2018 |
Minimum delay moving object detection D Lao, G Sundaramoorthi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 21 | 2017 |
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 | 12 | 2021 |
Minimum delay object detection from video D Lao, G Sundaramoorthi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 12 | 2019 |
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 | 9 | 2022 |
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 | 9 | 2016 |
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 | 4 | 2023 |
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 | 4 | 2021 |
Channel-directed gradients for optimization of convolutional neural networks D Lao, P Zhu, P Wonka, G Sundaramoorthi arXiv preprint arXiv:2008.10766, 2020 | 3 | 2020 |
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 | 2 | 2024 |
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 |