361 citations
- Carnegie Mellon UniversityUS12 papers
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- École Polytechnique Fédérale de LausanneCH3 papers
11 papers · 1 filter
It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality
Charan D. Prakash, Lina J. Karam
In this paper, we propose in our novel generative framework the use of Generative Adversarial Networks (GANs) to generate features that provide robustness for object detection on r…
AeroRIT: A New Scene for Hyperspectral Image Analysis
Aneesh Rangnekar, Nilay Mokashi, Emmett Ientilucci +2
We investigate applying convolutional neural network (CNN) architecture to facilitate aerial hyperspectral scene understanding and present a new hyperspectral dataset-AeroRIT-that…
Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods
Chuhang Zou, Jheng-Wei Su, Chi-Han Peng +5
Recent approaches for predicting layouts from 360 panoramas produce excellent results. These approaches build on a common framework consisting of three steps: a pre-processing step…
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition
Zhen Huang, Tim Ng, Leo Liu +3
Very deep CNNs achieve state-of-the-art results in both computer vision and speech recognition, but are difficult to train. The most popular way to train very deep CNNs is to use s…
Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data
Herbert Gish, Jan Silovsky, Man-Ling Sung +3
We investigate the problem of machine learning with mislabeled training data. We try to make the effects of mislabeled training better understood through analysis of the basic mode…
Obsidian: Typestate and Assets for Safer Blockchain Programming
Michael Coblenz, Reed Oei, Tyler Etzel +6
Blockchain platforms are coming into broad use for processing critical transactions among participants who have not established mutual trust. Many blockchains are programmable, sup…