Low-Level Image and Video Processing

Learning to Propose Objects

Project Overview

We are working on basic algorithmic building blocks that support visual data processing.

Publications

Accurate Optical Flow via Direct Cost Volume Processing

Direct Sparse Odometry

Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids

Learning to Propose Objects

Geodesic Object Proposals

Fast MRF Optimization with Application to Depth Reconstruction

A Simple Model for Intrinsic Image Decomposition with Depth Cues

Efficient Nonlocal Regularization for Optical Flow