174 citations · 711 across the 57 of their papers we have counts for
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Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
Takuya Narihira, Michael Maire, Stella X. Yu
We introduce a new approach to intrinsic image decomposition, the task of decomposing a single image into albedo and shading components. Our strategy, which we term direct intrinsi…
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding
Michael Maire, Takuya Narihira, Stella X. Yu
Spectral embedding provides a framework for solving perceptual organization problems, including image segmentation and figure/ground organization. From an affinity matrix describin…
Constrained Structured Regression with Convolutional Neural Networks
Deepak Pathak, Philipp Krähenbühl, Stella X. Yu +1
Convolutional Neural Networks (CNNs) have recently emerged as the dominant model in computer vision. If provided with enough training data, they predict almost any visual quantity.…
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets
Takuya Narihira, Damian Borth, Stella X. Yu +2
We consider the visual sentiment task of mapping an image to an adjective noun pair (ANP) such as "cute baby". To capture the two-factor structure of our ANP semantics as well as t…