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Home » Publication » Computer vision publications » Multi-modal data analytics publications

Multi-modal data analytics publications

Multi-modal data analytics publications May 27, 2022

Time-Space Processing for Small Ship Detection in SAR

Yi Yao

This paper presents a new 3D time-space detector for small ships in single look complex (SLC) synthetic aperture radar (SAR) imagery, optimized for small targets around 5-15 m long that are unfocused due to target motion induced by ocean surface waves.

Computer vision publications March 16, 2020

Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks

Andrew Silberfarb, John Byrnes, Ajay Divakaran

We introduce Deep Adaptive Semantic Logic (DASL), a novel framework for automating the generation of deep neural networks that incorporates user-provided formal knowledge to improve learning from data.

Multi-modal data analytics publications June 15, 2019

Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation

Ajay Divakaran, Yi Yao

We propose novel Stacked Spatio-Temporal Graph Convolutional Networks (Stacked-STGCN) for action segmentation, i.e., predicting and localizing a sequence of actions over long videos.

Multi-modal data analytics publications January 11, 2019

Aesop: A Visual Storytelling Platform for Conversational AI and Commonsense Grounding

SRI International

We believe that the future of Artificial Intelligence (AI) will be a mixed-initiative collaboration between humans and AI as equals.

Multi-modal data analytics publications October 28, 2017

Efficient Fine-Grained Classification and Part Localization Using One Compact Network

SRI International

We propose a novel multi-task deep network architecture that jointly optimizes both localization of parts and fine-grained class labels by learning from training data.

Computer vision publications May 1, 2016

Pattern of life analysis for diverse data types

Clay Spence

SRI has developed a system to automatically analyze the Pattern of Life of ports, routes and vessels from a large collection of AIS data. The PoL of these entities are characterized by a set of intuitive and easy to query semantic attributes.

Computer vision publications May 1, 2016

Analyzing hyperspectral images into multiple subspaces using Gaussian mixture models

Clay Spence

I argue that the spectra in a hyperspectral datacube will usually lie in several low-dimensional subspaces, and that these subspaces are more easily estimated from the data than the endmembers.

Computer vision publications April 1, 2016

Sampling Exactly from the Normal Distribution

Charles Karney

An algorithm for sampling exactly from the normal distribution is given. The algorithm reads some number of uniformly distributed random digits in a given base and generates an initial portion of the representation of a normal deviate in the same base.

Computer vision publications January 1, 2015

Re-Ranking by Multi-Feature Fusion with Diffusion for Image Retrieval

Bogdan Matei

We present a re-ranking algorithm for image retrieval by fusing multi-feature information. We utilize pairwise similarity scores between images to exploit the underlying relationships among images.

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