• Publications
  • Influence
Neural network-based face detection
TLDR
A neural network-based face detection system that arbitrates between multiple networks to improve performance over a single network using a bootstrap algorithm, which eliminates the difficult task of manually selecting non-face training examples.
A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
TLDR
This paper presents an empirical analysis of where the proposed technique will outperform genetic algorithms, and describes a class of problems in which a genetic algorithm may be able to perform better.
VisualRank: Applying PageRank to Large-Scale Image Search
  • Yushi Jing, S. Baluja
  • Computer Science
    IEEE Transactions on Pattern Analysis and Machine…
  • 1 November 2008
TLDR
This work cast the image-ranking problem into the task of identifying "authority" nodes on an inferred visual similarity graph and proposes VisualRank to analyze the visual link structures among images and describes the techniques required to make this system practical for large-scale deployment in commercial search engines.
Hiding Images in Plain Sight: Deep Steganography
TLDR
This study attempts to place a full size color image within another image of the same size by compressing and distributes the secret image's representation across all of the available bits of the carrier image.
Variable Rate Image Compression with Recurrent Neural Networks
TLDR
A general framework for variable-rate image compression and a novel architecture based on convolutional and deconvolutional LSTM recurrent networks are proposed, which provide better visual quality than (headerless) JPEG, JPEG2000 and WebP, with a storage size reduced by 10% or more.
Boosting Sex Identification Performance
TLDR
The AdaBoost based classifiers presented here achieve over 93% accuracy; these match or surpass the accuracies of the SVM-based classifiers, and yield performance that is 50 times faster.
Video suggestion and discovery for youtube: taking random walks through the view graph
TLDR
A novel method based upon the analysis of the entire user-video graph to provide personalized video suggestions for users, termed Adsorption, provides a simple method to efficiently propagate preference information through a variety of graphs.
A large scale study of wireless search behavior: Google mobile search
TLDR
The goal is to understand the current state of wireless search by analyzing over 1 Million hits to Google's mobile search sites, which includes the examination of search queries and the general categories under which they fall.
Rotation Invariant Neural Network-Based Face Detection
TLDR
A neural network is used to analyze each window of the input before it is processed by a “detector” network, which decides whether a face is present, which is significantly faster than exhaustively trying all orientations, and will yield fewer false detections.
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