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20152026
most citedUnsupervised Semantic Segmentation by Distilling Feature Correspondences

115 citations · 662 across the 44 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019

Leveraging Vision Reconstruction Pipelines for Satellite Imagery

Kai Zhang, Jin Sun, Noah Snavely

Reconstructing 3D geometry from satellite imagery is an important topic of research. However, disparities exist between how this 3D reconstruction problem is handled in the remote…

cs.CV2019

GeoStyle: Discovering Fashion Trends and Events

Utkarsh Mall, Kevin Matzen, Bharath Hariharan +2

Understanding fashion styles and trends is of great potential interest to retailers and consumers alike. The photos people upload to social media are a historical and public data s…

cs.CV2019

UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images

Wenqi Xian, Zhengqi Li, Matthew Fisher +3

We introduce UprightNet, a learning-based approach for estimating 2DoF camera orientation from a single RGB image of an indoor scene. Unlike recent methods that leverage deep learn…

cs.CV201921 cited

DeepView: View Synthesis with Learned Gradient Descent

John Flynn, Michael Broxton, Paul Debevec +5

We present a novel approach to view synthesis using multiplane images (MPIs). Building on recent advances in learned gradient descent, our algorithm generates an MPI from a set of…

cs.CV201910 cited

Pushing the Boundaries of View Extrapolation with Multiplane Images

Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron +3

We explore the problem of view synthesis from a narrow baseline pair of images, and focus on generating high-quality view extrapolations with plausible disocclusions. Our method bu…

cs.CV20192 cited

Learning the Depths of Moving People by Watching Frozen People

Zhengqi Li, Tali Dekel, Forrester Cole +4

We present a method for predicting dense depth in scenarios where both a monocular camera and people in the scene are freely moving. Existing methods for recovering depth for dynam…