4 citations · 11 across the 5 of their papers we have counts for
6 papers
A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks
Yuxin Sun, Dong Lao, Ganesh Sundaramoorthi +1
We discover restrained numerical instabilities in current training practices of deep networks with stochastic gradient descent (SGD), and its variants. We show numerical error (on…
Flow-Guided Video Inpainting with Scene Templates
Dong Lao, Peihao Zhu, Peter Wonka +1
We consider the problem of filling in missing spatio-temporal regions of a video. We provide a novel flow-based solution by introducing a generative model of images in relation to…
Channel-Directed Gradients for Optimization of Convolutional Neural Networks
Dong Lao, Peihao Zhu, Peter Wonka +1
We introduce optimization methods for convolutional neural networks that can be used to improve existing gradient-based optimization in terms of generalization error. The method re…
Phase Consistent Ecological Domain Adaptation
Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi +1
We introduce two criteria to regularize the optimization involved in learning a classifier in a domain where no annotated data are available, leveraging annotated data in a differe…
Minimum Delay Object Detection From Video
Dong Lao, Ganesh Sundaramoorthi
We consider the problem of detecting objects, as they come into view, from videos in an online fashion. We provide the first real-time solution that is guaranteed to minimize the d…
Quickest Moving Object Detection
Dong Lao, Ganesh Sundaramoorthi
We present a general framework and method for simultaneous detection and segmentation of an object in a video that moves (or comes into view of the camera) at some unknown time in…