256 citations · 341 across the 3 of their papers we have counts for
5 papers
A scalable system to measure contrail formation on a per-flight basis
Scott Geraedts, Erica Brand, Thomas R. Dean +12
Persistent contrails make up a large fraction of aviation's contribution to global warming. We describe a scalable, automated detection and matching (ADM) system to determine from…
EnsembleNet: End-to-End Optimization of Multi-headed Models
Hanhan Li, Joe Yue-Hei Ng, Paul Natsev
Ensembling is a universally useful approach to boost the performance of machine learning models. However, individual models in an ensemble were traditionally trained independently…
TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition
Xiyang Dai, Bharat Singh, Joe Yue-Hei Ng +1
We present Temporal Aggregation Network (TAN) which decomposes 3D convolutions into spatial and temporal aggregation blocks. By stacking spatial and temporal convolutions repeatedl…
Exploiting Local Features from Deep Networks for Image Retrieval
Joe Yue-Hei Ng, Fan Yang, Larry S. Davis
Deep convolutional neural networks have been successfully applied to image classification tasks. When these same networks have been applied to image retrieval, the assumption has b…
Beyond Short Snippets: Deep Networks for Video Classification
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan +3
Convolutional neural networks (CNNs) have been extensively applied for image recognition problems giving state-of-the-art results on recognition, detection, segmentation and retrie…