589 citations · 649 across the 6 of their papers we have counts for
6 papers
Real-time Video Summarization on Commodity Hardware
Wesley Taylor, Faisal Z. Qureshi
We present a method for creating video summaries in real-time on commodity hardware. Real-time here refers to the fact that the time required for video summarization is less than t…
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning
Kamyar Nazeri, Eric Ng, Tony Joseph +2
Over the last few years, deep learning techniques have yielded significant improvements in image inpainting. However, many of these techniques fail to reconstruct reasonable struct…
Joint Spatial and Layer Attention for Convolutional Networks
Tony Joseph, Konstantinos G. Derpanis, Faisal Z. Qureshi
In this paper, we propose a novel approach that learns to sequentially attend to different Convolutional Neural Networks (CNN) layers (i.e., ``what'' feature abstraction to attend…
Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network
Mohbat Tharani, Numan Khurshid, Murtaza Taj
The advent of deep perceptual networks brought about a paradigm shift in machine vision and image perception. Image apprehension lately carried out by hand-crafted features in the…
Neural Networks Trained to Solve Differential Equations Learn General Representations
Martin Magill, Faisal Qureshi, Hendrick W. de Haan
We introduce a technique based on the singular vector canonical correlation analysis (SVCCA) for measuring the generality of neural network layers across a continuously-parametrize…
A Framework for Video-Driven Crowd Synthesis
Jordan Stadler, Faisal Z. Qureshi
We present a framework for video-driven crowd synthesis. Motion vectors extracted from input crowd video are processed to compute global motion paths. These paths encode the domina…