activity
20162022
most citedStreetStyle: Exploring world-wide clothing styles from millions of photos

41 citations · 107 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CV2022★ 1 cited

Perspective Fields for Single Image Camera Calibration

Linyi Jin, Jianming Zhang, Yannick Hold-Geoffroy +4

Geometric camera calibration is often required for applications that understand the perspective of the image. We propose perspective fields as a representation that models the loca…

cs.CV2020

One Shot 3D Photography

Johannes Kopf, Kevin Matzen, Suhib Alsisan +12

3D photography is a new medium that allows viewers to more fully experience a captured moment. In this work, we refer to a 3D photo as one that displays parallax induced by moving…

cs.CV2020★ 9 cited

Consistent Video Depth Estimation

Xuan Luo, Jia-Bin Huang, Richard Szeliski +2

We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video. We leverage a conventional structure-from-motion reconstructio…

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★ 4 cited

Synthetic Defocus and Look-Ahead Autofocus for Casual Videography

Xuaner Zhang, Kevin Matzen, Vivien Nguyen +3

In cinema, large camera lenses create beautiful shallow depth of field (DOF), but make focusing difficult and expensive. Accurate cinema focus usually relies on a script and a pers…

cs.CV2018★ 31 cited

DeepMVS: Learning Multi-view Stereopsis

Po-Han Huang, Kevin Matzen, Johannes Kopf +2

We present DeepMVS, a deep convolutional neural network (ConvNet) for multi-view stereo reconstruction. Taking an arbitrary number of posed images as input, we first produce a set…