3.6k citations · 4.7k across the 31 of their papers we have counts for
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Pushing the Boundaries of Boundary Detection using Deep Learning
Iasonas Kokkinos
In this work we show that adapting Deep Convolutional Neural Network training to the task of boundary detection can result in substantial improvements over the current state-of-the…
Learning Dense Convolutional Embeddings for Semantic Segmentation
Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos
This paper proposes a new deep convolutional neural network (DCNN) architecture that learns pixel embeddings, such that pairwise distances between the embeddings can be used to inf…
Deep filter banks for texture recognition, description, and segmentation
Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos +1
Visual textures have played a key role in image understanding because they convey important semantics of images, and because texture representations that pool local image descripto…
Deep Learning for Semantic Part Segmentation with High-Level Guidance
S. Tsogkas, I. Kokkinos, G. Papandreou +1
In this work we address the task of segmenting an object into its parts, or semantic part segmentation. We start by adapting a state-of-the-art semantic segmentation system to this…