256 citations · 387 across the 8 of their papers we have counts for
9 papers
Observational constraints on net radiative forcing confirm aviation contrail warming
Aaron Sonabend-W, Scott Geraedts, Nita Goyal +3
Contrail cirrus represents a critical component of aviation's non-CO2 climate impact, but its net radiative forcing, the balance between longwave warming and shortwave cooling, rem…
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…
OpenContrails: Benchmarking Contrail Detection on GOES-16 ABI
Joe Yue-Hei Ng, Kevin McCloskey, Jian Cui +6
Contrails (condensation trails) are line-shaped ice clouds caused by aircraft and are likely the largest contributor of aviation-induced climate change. Contrail avoidance is poten…
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…
ActionFlowNet: Learning Motion Representation for Action Recognition
Joe Yue-Hei Ng, Jonghyun Choi, Jan Neumann +1
Even with the recent advances in convolutional neural networks (CNN) in various visual recognition tasks, the state-of-the-art action recognition system still relies on hand crafte…
Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval
Ang Li, Jin Sun, Joe Yue-Hei Ng +3
Spatial relationships between objects provide important information for text-based image retrieval. As users are more likely to describe a scene from a real world perspective, usin…
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…