Robust Locally Weighted Regression for Aesthetically Pleasing Region-of-Interest Video Generatioin. - Daniel Jeffrey Couturier; Daniel DeTone; Homer Neal (WICED@AAAI, 2014)

Deep Image Homography Estimation. - Daniel DeTone; Tomasz Malisiewicz; Andrew Rabinovich (CoRR, 2016)

Toward Geometric Deep SLAM. - Daniel DeTone; Tomasz Malisiewicz; Andrew Rabinovich (CoRR, 2017)

SuperPoint: Self-Supervised Interest Point Detection and Description. - Daniel DeTone; Tomasz Malisiewicz; Andrew Rabinovich (CVPR Workshops, 2018)

Self-Improving Visual Odometry. - Daniel DeTone; Tomasz Malisiewicz; Andrew Rabinovich (CoRR, 2018)

Deep ChArUco: Dark ChArUco Marker Pose Estimation. - Danying Hu; Daniel DeTone; Vikram Chauhan; Igor Spivak; Tomasz Malisiewicz (CoRR, 2018)

Deep ChArUco: Dark ChArUco Marker Pose Estimation. - Danying Hu; Daniel DeTone; Tomasz Malisiewicz (CVPR, 2019)

SuperGlue: Learning Feature Matching With Graph Neural Networks. - Paul-Edouard Sarlin; Daniel DeTone; Tomasz Malisiewicz; Andrew Rabinovich (CVPR, 2020)

ODAM: Object Detection, Association, and Mapping using Posed RGB Video. - Kejie Li; Daniel DeTone; Steven Chen; Minh Vo; Ian Reid 001; Hamid Rezatofighi; Chris Sweeney; Julian Straub; Richard A. Newcombe (ICCV, 2021)

Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. - Gil Avraham; Julian Straub; Tianwei Shen; Tsun-Yi Yang; Hugo Germain; Chris Sweeney; Vasileios Balntas; David Novotný; Daniel DeTone; Richard A. Newcombe (CVPR Workshops, 2022)

Feature Query Networks: Neural Surface Description for Camera Pose Refinement. - Hugo Germain; Daniel DeTone; Geoffrey Pascoe; Tanner Schmidt; David Novotný; Richard A. Newcombe; Chris Sweeney; Richard Szeliski; Vasileios Balntas (CVPR Workshops, 2022)

NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning. - Tony Ng; Hyo Jin Kim 004; Vincent T. Lee; Daniel DeTone; Tsun-Yi Yang; Tianwei Shen; Eddy Ilg; Vassileios Balntas; Krystian Mikolajczyk; Chris Sweeney (CVPR, 2022)

Implicit Map Augmentation for Relocalization. - Yuxin Hou; Tianwei Shen; Tsun-Yi Yang; Daniel DeTone; Hyo Jin Kim 004; Chris Sweeney; Richard A. Newcombe (ECCV Workshops (3), 2022)

Theseus: A Library for Differentiable Nonlinear Optimization. - Luis Pineda; Taosha Fan; Maurizio Monge; Shobha Venkataraman; Paloma Sodhi; Ricky T. Q. Chen; Joseph Ortiz; Daniel DeTone; Austin S. Wang; Stuart Anderson; Jing Dong 002; Brandon Amos; et al. (NeurIPS, 2022)

OrienterNet: Visual Localization in 2D Public Maps with Neural Matching. - Paul-Edouard Sarlin; Daniel DeTone; Tsun-Yi Yang; Armen Avetisyan; Julian Straub; Tomasz Malisiewicz; Samuel Rota Bulò; Richard A. Newcombe; Peter Kontschieder; Vasileios Balntas (CVPR, 2023)

EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models. - Julian Straub; Daniel DeTone; Tianwei Shen; Nan Yang; Chris Sweeney; Richard A. Newcombe (CoRR, 2024)

Sonata: Self-Supervised Learning of Reliable Point Representations. - Xiaoyang Wu 002; Daniel DeTone; Duncan P. Frost; Tianwei Shen; Chris Xie; Nan Yang; Jakob J. Engel; Richard A. Newcombe; Hengshuang Zhao; Julian Straub (CVPR, 2025)