Low-Level Vision

Accurate Optical Flow via Direct Cost Volume Processing

Project Overview

We are working on basic algorithmic building blocks that support visual data processing. Our algorithms have advanced the state of the art in optical flow estimation, visual odometry, bottom-up segmentation, intrinsic image decomposition, and other low-level vision problems.

Publications

Playing for Benchmarks

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