Focal Loss for Dense Object Detection
The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations...
Publications
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1,575 publications
Matching pursuits with time-frequency dictionaries
The authors introduce an algorithm, called matching pursuit, that decomposes any signal into a linear expansion of waveforms that are selected from a redundant dictionary of fun...
Advances in Neural Information Processing Systems 14
The proceedings of the 2001 Neural Information Processing Systems (NIPS) Conference. The annual conference on Neural Information Processing Systems (NIPS) is the flagship confer...
Deep Learning
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer ga...
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort...
The Ecological Approach to Visual Perception
This book, first published in 1979, is about how we see: the environment around us (its surfaces, their layout, and their colors and textures); where we are in the environm...
The Graph Neural Network Model
Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and dat...
Marching cubes: A high resolution 3D surface construction algorithm
We present a new algorithm, called marching cubes , that creates triangle models of constant density surfaces from 3D medical data. Using a divide-and-conquer approach to genera...
A Concordance Correlation Coefficient to Evaluate Reproducibility
A new reproducibility index is developed and studied. This index is the correlation between the two readings that fall on the 45 degree line through the origin. It is simple to ...
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
© 2016 IEEE. The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper...