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20072025
most citedEdgeConnect: Generative Image Inpainting with Adversarial Edge Learning

589 citations

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6 papers · 1 filter

cs.CV202318 cited

Evolutionary Computation in Action: Feature Selection for Deep Embedding Spaces of Gigapixel Pathology Images

Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian +2

One of the main obstacles of adopting digital pathology is the challenge of efficient processing of hyperdimensional digitized biopsy samples, called whole slide images (WSIs). Exp…

cs.CV2020

Artist-Guided Semiautomatic Animation Colorization

Harrish Thasarathan, Mehran Ebrahimi

There is a delicate balance between automating repetitive work in creative domains while staying true to an artist's vision. The animation industry regularly outsources large anima…

cs.CV20192 cited

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…

cs.CV2019589 cited

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…

cs.CV20191 cited

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…

cs.CV20174 cited

Classification and Retrieval of Digital Pathology Scans: A New Dataset

Morteza Babaie, Shivam Kalra, Aditya Sriram +5

In this paper, we introduce a new dataset, \textbf{Kimia Path24}, for image classification and retrieval in digital pathology. We use the whole scan images of 24 different tissue t…