Publications

ORCaS: Unsupervised Depth Completion via Occluded Region Completion as Supervision

Hyoungseob Park, Runjian Chen, Patrick Rim, Dong Lao, Alex Wong

International Conference on Learning Representations (ICLR 2026)

ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting

Daniel Wang, Patrick Rim, Tian Tian, Dong Lao, Alex Wong, Ganesh Sundaramoorthi

International Conference on Learning Representations (ICLR 2026)

Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles

Dong Lao, Yuxiang Zhang, Haniyeh Ehsani Oskouie, Yangchao Wu, Alex Wong, Stefano Soatto

arXiv

WorDepth: Variational Language Prior for Monocular Depth Estimation

Ziyao Zeng, Daniel Wang, Fengyu Yang, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions

Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong

Advances in Neural Information Processing Systems 37 (NeurIPS) 2024

AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation

Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao & Alex Wong

European Conference on Computer Vision (ECCV), 2024

On the Viability of Monocular Depth Pre-training for Semantic Segmentation

Dong Lao, Fengyu Yang, Daniel Wang, Hyoungseob Park, Samuel Lu, Alex Wong & Stefano Soatto

European Conference on Computer Vision (ECCV), 2024

Sub-token ViT Embedding via Stochastic Resonance Transformers

Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto

International Conference on Machine Learning (ICML), 2024

Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation

Dong Lao, Congli Wang, Alex Wong, Stefano Soatto

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, Highlight Paper

Divided Attention: Unsupervised Multiple-object Discovery and Segmentation with Interpretable Contextually Separated Slots

Dong Lao, Zhengyang Hu, Francesco Locatello, Yanchao Yang, Stefano Soatto

arXiv

Surprising Instabilities in Training Deep Networks and a Theoretical Analysis

Yuxin Sun, Dong Lao, Ganesh Sundaramoorthi, Anthony Yezzi

Advances in Neural Information Processing Systems 35 (NeurIPS), 2022

Journal version: Journal of Machine Learning Research 25 (174) (JMLR), 2024

Accelerated PDEs for Construction and Theoretical Analysis of an SGD Extension

Yuxin Sun, Dong Lao, Ganesh Sundaramoorthi, Anthony Yezzi

The Symbiosis of Deep Learning and Differential Equations, 2021

Flow-Guided Video Inpainting With Scene Templates

Dong Lao, Peihao Zhu, Peter Wonka, Ganesh Sundaramoorthi

IEEE/CVF International Conference on Computer Vision (ICCV), 2021

Phase Consistent Ecological Domain Adaptation

Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

Channel-Directed Gradients for Optimization of Convolutional Neural Networks

Dong Lao, Peihao Zhu, Peter Wonka, Ganesh Sundaramoorthi

arXiv, 2020

Minimum Delay Object Detection From Video

Dong Lao, Ganesh Sundaramoorthi

IEEE/CVF International Conference on Computer Vision (ICCV), 2019

Extending Layered Models for Video Object Detection

Dong Lao, Ganesh Sundaramoorthi

European Conference on Computer Vision (ECCV), 2018

Minimum Delay Moving Object Detection

Dong Lao, Ganesh Sundaramoorthi

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2017