Search Results for author: Tomasz Malisiewicz

Found 11 papers, 6 papers with code

SuperGlue: Learning Feature Matching with Graph Neural Networks

11 code implementations CVPR 2020 Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

This paper introduces SuperGlue, a neural network that matches two sets of local features by jointly finding correspondences and rejecting non-matchable points.

Pose Estimation

Deep ChArUco: Dark ChArUco Marker Pose Estimation

no code implementations CVPR 2019 Danying Hu, Daniel DeTone, Vikram Chauhan, Igor Spivak, Tomasz Malisiewicz

We evaluate Deep ChArUco in challenging low-light, high-motion, high-blur scenarios and demonstrate that our approach is superior to a traditional OpenCV-based method for ChArUco marker detection and pose estimation.

Data Augmentation Pose Estimation

Self-Improving Visual Odometry

no code implementations8 Dec 2018 Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

We propose a self-supervised learning framework that uses unlabeled monocular video sequences to generate large-scale supervision for training a Visual Odometry (VO) frontend, a network which computes pointwise data associations across images.

Pose Estimation Self-Supervised Learning +1

SuperPoint: Self-Supervised Interest Point Detection and Description

14 code implementations20 Dec 2017 Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

This paper presents a self-supervised framework for training interest point detectors and descriptors suitable for a large number of multiple-view geometry problems in computer vision.

Domain Adaptation Homography Estimation

Toward Geometric Deep SLAM

no code implementations24 Jul 2017 Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

The first network, MagicPoint, operates on single images and extracts salient 2D points.

Deep Cuboid Detection: Beyond 2D Bounding Boxes

1 code implementation30 Nov 2016 Debidatta Dwibedi, Tomasz Malisiewicz, Vijay Badrinarayanan, Andrew Rabinovich

We present a Deep Cuboid Detector which takes a consumer-quality RGB image of a cluttered scene and localizes all 3D cuboids (box-like objects).

Deep Image Homography Estimation

8 code implementations13 Jun 2016 Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

We present a deep convolutional neural network for estimating the relative homography between a pair of images.

Homography Estimation

Inverting and Visualizing Features for Object Detection

no code implementations11 Dec 2012 Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz, Antonio Torralba

By visualizing feature spaces, we can gain a more intuitive understanding of our detection systems.

Object Detection

Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships

no code implementations NeurIPS 2009 Tomasz Malisiewicz, Alyosha Efros

The use of context is critical for scene understanding in computer vision, where the recognition of an object is driven by both local appearance and the objects relationship to other elements of the scene (context).

Scene Understanding

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