activity
20172026
most citedProgressive NAPSAC: sampling from gradually growing neighborhoods

7 citations · 18 across the 11 of their papers we have counts for

collaborators

19 papers

cs.CV2026

Global-Aware Edge Prioritization for Pose Graph Initialization

Tong Wei, Giorgos Tolias, Jiri Matas +1

The pose graph is a core component of Structure-from-Motion (SfM), where images act as nodes and edges encode relative poses. Since geometric verification is expensive, SfM pipelin…

cs.CV2024★ 1 cited

Breaking the Frame: Visual Place Recognition by Overlap Prediction

Tong Wei, Philipp Lindenberger, Jiri Matas +1

Visual place recognition methods struggle with occlusions and partial visual overlaps. We propose a novel visual place recognition approach based on overlap prediction, called VOP,…

cs.CV2023

Revisiting Rotation Averaging: Uncertainties and Robust Losses

Ganlin Zhang, Viktor Larsson, Daniel Barath

In this paper, we revisit the rotation averaging problem applied in global Structure-from-Motion pipelines. We argue that the main problem of current methods is the minimized cost…

cs.CV2023★ 1 cited

A Large Scale Homography Benchmark

Daniel Barath, Dmytro Mishkin, Michal Polic +2

We present a large-scale dataset of Planes in 3D, Pi3D, of roughly 1000 planes observed in 10 000 images from the 1DSfM dataset, and HEB, a large-scale homography estimation benchm…

cs.CV2022★ 3 cited

Generalized Differentiable RANSAC

Tong Wei, Yash Patel, Alexander Shekhovtsov +2

We propose -RANSAC, a generalized differentiable RANSAC that allows learning the entire randomized robust estimation pipeline. The proposed approach enables the use of rela…

cs.CV2021

Adaptive Reordering Sampler with Neurally Guided MAGSAC

Tong Wei, Jiri Matas, Daniel Barath

We propose a new sampler for robust estimators that always selects the sample with the highest probability of consisting only of inliers. After every unsuccessful iteration, the in…