115 citations · 682 across the 61 of their papers we have counts for
10 papers · 1 filter
Dimensions of Motion: Monocular Prediction through Flow Subspaces
Richard Strong Bowen, Richard Tucker, Ramin Zabih +1
We introduce a way to learn to estimate a scene representation from a single image by predicting a low-dimensional subspace of optical flow for each training example, which encompa…
Who's Waldo? Linking People Across Text and Images
Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi +2
We present a task and benchmark dataset for person-centric visual grounding, the problem of linking between people named in a caption and people pictured in an image. In contrast t…
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision
Xiaoshi Wu, Hadar Averbuch-Elor, Jin Sun +1
The abundance and richness of Internet photos of landmarks and cities has led to significant progress in 3D vision over the past two decades, including automated 3D reconstructions…
Wide-Baseline Relative Camera Pose Estimation with Directional Learning
Kefan Chen, Noah Snavely, Ameesh Makadia
Modern deep learning techniques that regress the relative camera pose between two images have difficulty dealing with challenging scenarios, such as large camera motions resulting…
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
Tomas Jakab, Richard Tucker, Ameesh Makadia +3
We introduce KeypointDeformer, a novel unsupervised method for shape control through automatically discovered 3D keypoints. We cast this as the problem of aligning a source 3D obje…
Extreme Rotation Estimation using Dense Correlation Volumes
Ruojin Cai, Bharath Hariharan, Noah Snavely +1
We present a technique for estimating the relative 3D rotation of an RGB image pair in an extreme setting, where the images have little or no overlap. We observe that, even when im…