Search Results for author: Kevin Matzen

Found 11 papers, 6 papers with code

Burst Denoising via Temporally Shifted Wavelet Transforms

no code implementations ECCV 2020 Xuejian Rong, Denis Demandolx, Kevin Matzen, Priyam Chatterjee, YingLi Tian

As a result, imaging pipelines often rely on computational photography to improve SNR by fusing multiple short exposures.


One Shot 3D Photography

1 code implementation27 Aug 2020 Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael Cohen

3D photos are static in time, like traditional photos, but are displayed with interactive parallax on mobile or desktop screens, as well as on Virtual Reality devices, where viewing it also includes stereo.

Monocular Depth Estimation

Consistent Video Depth Estimation

3 code implementations30 Apr 2020 Xuan Luo, Jia-Bin Huang, Richard Szeliski, Kevin Matzen, Johannes Kopf

We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video.

Depth Estimation Monocular Reconstruction

GeoStyle: Discovering Fashion Trends and Events

1 code implementation ICCV 2019 Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala

Understanding fashion styles and trends is of great potential interest to retailers and consumers alike.

Synthetic Defocus and Look-Ahead Autofocus for Casual Videography

no code implementations15 May 2019 Xuaner Zhang, Kevin Matzen, Vivien Nguyen, Dillon Yao, You Zhang, Ren Ng

We present a system that synthetically renders refocusable video from a deep DOF video shot with a smartphone, and analyzes future video frames to deliver context-aware autofocus for the current frame.

BIG-bench Machine Learning Saliency Detection

DeepMVS: Learning Multi-view Stereopsis

1 code implementation CVPR 2018 Po-Han Huang, Kevin Matzen, Johannes Kopf, Narendra Ahuja, Jia-Bin Huang

We present DeepMVS, a deep convolutional neural network (ConvNet) for multi-view stereo reconstruction.

Deep Burst Denoising

3 code implementations ECCV 2018 Clément Godard, Kevin Matzen, Matt Uyttendaele

One strategy for mitigating noise in a low-light situation is to increase the shutter time of the camera, thus allowing each photosite to integrate more light and decrease noise variance.

Image Denoising Image Enhancement +1

StreetStyle: Exploring world-wide clothing styles from millions of photos

2 code implementations6 Jun 2017 Kevin Matzen, Kavita Bala, Noah Snavely

Each day billions of photographs are uploaded to photo-sharing services and social media platforms.

All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles

no code implementations7 May 2016 Peter Radecki, Mark Campbell, Kevin Matzen

A novel probabilistic perception algorithm is presented as a real-time joint solution to data association, object tracking, and object classification for an autonomous ground vehicle in all-weather conditions.

Classification General Classification +1

BubbLeNet: Foveated Imaging for Visual Discovery

no code implementations ICCV 2015 Kevin Matzen, Noah Snavely

We propose a new method for turning an Internet-scale corpus of categorized images into a small set of human-interpretable discriminative visual elements using powerful tools based on deep learning.

Cannot find the paper you are looking for? You can Submit a new open access paper.