Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset | Paper Citation Record

Observation 733af7af-7203-4337-9012-9be93b501820 · outbound

This paper cites 1 year, 1000 km: The oxford robotcar dataset.IJRR, 2017.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset 1 year, 1000 km: The oxford robotcar dataset.IJRR, 2017

Reference 1

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Observation 8cd358dd-45c9-4b99-a51b-741013a0a059 · outbound

This paper cites Visual topometric localization.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Visual topometric localization

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.188282Z

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Observation a43a0ae0-b6d8-4d0e-bcbd-d6eb0cd1e68c · outbound

This paper cites Posenet: A convolutional network for real-time 6-dof camera relocalization.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Posenet: A convolutional network for real-time 6-dof camera relocalization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.169027Z

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Observation 6118f844-eeb6-451e-9aa4-0c309fa98c6d · outbound

This paper cites Inloc: Indoor visual localization with dense matching and view synthesis.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Inloc: Indoor visual localization with dense matching and view synthesis

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.142370Z

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Observation 323d2fd0-28cf-42e7-bfc5-013acd66b16f · outbound

This paper cites Benchmarking 6dof outdoor visual localization in changing conditions.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Benchmarking 6dof outdoor visual localization in changing conditions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.118668Z

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Observation 206120d9-de54-4430-a8bf-ae98986eccda · outbound

This paper cites Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, and Marc Pollefeys.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, and Marc Pollefeys

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.095568Z

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Observation d1457d8b-5f78-4ee5-a1d6-8b0199a72122 · outbound

This paper cites The oxford spires dataset: Benchmarking large-scale lidar-visual localisation, reconstruction and radiance field methods.IJRR, 2025.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset The oxford spires dataset: Benchmarking large-scale lidar-visual localisation, reconstruction and radiance field methods.IJRR, 2025

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.072835Z

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Observation 1393b250-cafe-4287-bc61-4c43505a5df8 · outbound

This paper cites Matterport3D: Learning from RGB-D data in indoor environments.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Matterport3D: Learning from RGB-D data in indoor environments

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.041332Z

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Observation a31d1b71-65b2-40e3-8683-649af07e8434 · outbound

This paper cites Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.005855Z

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Observation 5fa75240-4d4b-4b14-98bd-9ba0e76d0b09 · outbound

This paper cites The EuRoC micro aerial vehicle datasets.IJRR, 2016.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset The EuRoC micro aerial vehicle datasets.IJRR, 2016

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.977179Z

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Observation a734bb4c-489e-49e8-8ea9-efc704872809 · outbound

This paper cites Large-scale data for multiple-view stereopsis.IJCV, 2016.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Large-scale data for multiple-view stereopsis.IJCV, 2016

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.954053Z

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Observation a167092f-688b-452e-9c38-3702e8917d13 · outbound

This paper cites A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.932653Z

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Observation 32192856-f2fe-422c-b697-41ed7e294fd5 · outbound

This paper cites A comparison and evaluation of multi-view stereo reconstruction algorithms.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset A comparison and evaluation of multi-view stereo reconstruction algorithms

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.909567Z

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Observation 5b40033c-c0fe-4397-aaa6-56b140842d91 · outbound

This paper cites A multi-view stereo benchmark with high-resolution images and multi- camera videos.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset A multi-view stereo benchmark with high-resolution images and multi- camera videos

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.889039Z

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Observation e4ed3950-504f-455b-a955-d275a4c55cc1 · outbound

This paper cites Tanks and Temples: Benchmarking large-scale scene reconstruction.ToG, 2017.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Tanks and Temples: Benchmarking large-scale scene reconstruction.ToG, 2017

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.869229Z

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Observation 3513fc7a-08bf-4b48-9f6a-3af66ffe017c · outbound

This paper cites ScanNet++: A high-fidelity dataset of 3D indoor scenes.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset ScanNet++: A high-fidelity dataset of 3D indoor scenes

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.846405Z

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Observation 29590f11-2fa0-469e-9341-4fad577e95e1 · outbound

This paper cites The Newer College dataset: Handheld lidar, inertial and vision with ground truth.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset The Newer College dataset: Handheld lidar, inertial and vision with ground truth

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.819839Z

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Observation f3e27bc5-2c81-42ad-8b76-7b7983520909 · outbound

This paper cites Hilti-Oxford dataset: A millimeter-accurate benchmark for simultaneous localization and mapping.RAL, 2022.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Hilti-Oxford dataset: A millimeter-accurate benchmark for simultaneous localization and mapping.RAL, 2022

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.793421Z

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Observation 5f7baaee-ce49-4a11-b481-97c88a20b1fe · outbound

This paper cites FusionPortableV2: A unified multi-sensor dataset for generalized SLAM across diverse platforms and scalable environments.IJRR, 2024.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset FusionPortableV2: A unified multi-sensor dataset for generalized SLAM across diverse platforms and scalable environments.IJRR, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.762867Z

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Observation 7c8ea7bc-a6ed-46b1-98aa-a209f8a739e1 · outbound

This paper cites Sun, Hongwei Yu, Chun Liu, Long Chen, Wei Tao, and Hui Zhao.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Sun, Hongwei Yu, Chun Liu, Long Chen, Wei Tao, and Hui Zhao

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.739945Z

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Observation d6a0bd7f-48e9-41c1-884f-7adf793cacd9 · outbound

This paper cites MCD: Diverse large-scale multi-campus dataset for robot perception.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset MCD: Diverse large-scale multi-campus dataset for robot perception

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.718087Z

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Observation f86f7bd8-5831-4a15-a30d-16e8ca44c3b5 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset ShapeNet: An Information-Rich 3D Model Repository

Reference 22

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Observation 6b769c52-1e5e-4fbf-be6e-58f9c80e712b · outbound

This paper cites Stereo magnification: learning view synthesis using multiplane images.ToG, 2018.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Stereo magnification: learning view synthesis using multiplane images.ToG, 2018

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.697570Z

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Observation 27268b36-9a7a-41fe-9ff0-46f49ea2f314 · outbound

This paper cites Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.678604Z

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Observation feedc7a2-0c14-49be-929e-05a5b0f50f22 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.650985Z

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Observation 155185d7-7874-47e9-89f1-7632af3b0221 · outbound

This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.625698Z

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Observation b6a62816-32aa-4a57-92fc-a40709552e91 · outbound

This paper cites Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.594197Z

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Observation 84fd5c25-a4ef-477a-b2bb-d4124cc87c0e · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Objaverse-xl: A universe of 10m+ 3d objects

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.561442Z

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Observation e701061b-3c38-407d-989d-376666de0d85 · outbound

This paper cites Image matching across wide baselines: From paper to practice.IJCV, 2021.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Image matching across wide baselines: From paper to practice.IJCV, 2021

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.533333Z

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Observation a6c50667-dd60-413e-827b-e49e5780b295 · outbound

This paper cites Megascenes: Scene-level view synthesis at scale.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Megascenes: Scene-level view synthesis at scale

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:53.243689Z

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Observation 5da2b97a-e4f1-4726-b104-a971c47e1c61 · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.977774Z

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Observation d70710f9-f6b8-4aad-9d91-8da1229f2e33 · outbound

This paper cites Scene coordinate regression forests for camera relocalization in rgb-d images.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Scene coordinate regression forests for camera relocalization in rgb-d images

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.893318Z

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Observation b7f5100f-651d-4090-a5b9-ffdb68a062c5 · outbound

This paper cites Learning to navigate the energy landscape.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Learning to navigate the energy landscape

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.868947Z

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Observation c5716485-40e7-4d75-b74a-47b2fdd3f2da · outbound

This paper cites Learning to detect scene landmarks for camera localization.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Learning to detect scene landmarks for camera localization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.826863Z

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Observation a472399a-0424-4c0c-b605-be3abd402656 · outbound

This paper cites Large-scale localization datasets in crowded indoor spaces.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Large-scale localization datasets in crowded indoor spaces

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.798983Z

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Observation d5a17cdf-1490-4be1-9739-de47e2c203e3 · outbound

This paper cites Vision meets robotics: The kitti dataset.IJRR, 2013.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Vision meets robotics: The kitti dataset.IJRR, 2013

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.773575Z

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Observation dc5c14e2-cd25-4dcc-bada-bb046296633c · outbound

This paper cites The epic-kitchens dataset: Collection, challenges and baselines.TPAMI, 2020.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset The epic-kitchens dataset: Collection, challenges and baselines.TPAMI, 2020

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.753360Z

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Observation 0172b1db-5bd5-455c-bdc9-56de954bbd3a · outbound

This paper cites In the eye of beholder: Joint learning of gaze and actions in first person video.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset In the eye of beholder: Joint learning of gaze and actions in first person video

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.729701Z

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Observation aff9ef8a-cfb8-46ab-a39d-3dc76a48f20c · outbound

This paper cites Introducing hot3d: An egocentric dataset for 3d hand and object tracking.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Introducing hot3d: An egocentric dataset for 3d hand and object tracking

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.696512Z

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Observation 21845a8a-1b93-448f-9fd1-5ae829a29665 · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Ego4d: Around the world in 3,000 hours of egocentric video

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.667715Z

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Observation 259f6f08-efe0-4d4b-ac2c-913566405df4 · outbound

This paper cites EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation

Reference 41

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Observation d84937b2-58a9-487f-8896-1617f46cf184 · outbound

This paper cites Aria digital twin: A new benchmark dataset for egocentric 3d machine perception.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Aria digital twin: A new benchmark dataset for egocentric 3d machine perception

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.633846Z

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Observation 6f97feba-7620-4e65-a04a-49947bf6a8f0 · outbound

This paper cites Aria Everyday Activities Dataset.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Aria Everyday Activities Dataset

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:51.184632Z

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Observation 36276fe2-610f-402e-a672-a046de8b9e7a · outbound

This paper cites Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.601412Z

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Observation b928a696-738a-47f1-875c-293885971af2 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ToG, 2023.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset 3d gaussian splatting for real-time radiance field rendering.ToG, 2023

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.574239Z

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Observation 38815c28-4a90-4fb7-b856-b13e6d262035 · outbound

This paper cites Splatfacto-W: A Nerfstudio Implementation of Gaussian Splatting for Unconstrained Photo Collections.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Splatfacto-W: A Nerfstudio Implementation of Gaussian Splatting for Unconstrained Photo Collections

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:51.208028Z

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Observation ef81f915-8196-432e-967b-8764403af56b · outbound

This paper cites Gaussian in the wild: 3d gaussian splatting for unconstrained image collections.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Gaussian in the wild: 3d gaussian splatting for unconstrained image collections

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.551688Z

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Observation f299b029-78f0-4528-98b2-7a29a5f5633e · outbound

This paper cites From coarse to fine: Robust hierarchical localization at large scale.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset From coarse to fine: Robust hierarchical localization at large scale

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.528536Z

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Observation d53ceba8-a344-444e-a635-27b3b6285772 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Superglue: Learning feature matching with graph neural networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.500795Z

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Observation 8624fb57-bc87-4ab6-bc64-df0a0f5fc162 · outbound

This paper cites Loftr: Detector-free local feature matching with transformers.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Loftr: Detector-free local feature matching with transformers

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.476870Z

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Observation 9ee5384d-024a-40e9-98d2-def231752c36 · outbound

This paper cites Accelerated coordinate encoding: Learning to relocalize in minutes using rgb and poses.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Accelerated coordinate encoding: Learning to relocalize in minutes using rgb and poses

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.453289Z

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Observation d87ab11d-7cd9-46ee-b20f-f55dbe05102a · outbound

This paper cites Glace: Global local accelerated coordinate encoding.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Glace: Global local accelerated coordinate encoding

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.421646Z

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Observation 18b18af5-5135-4c1d-a971-b9be13014839 · outbound

This paper cites AprilTag: A robust and flexible visual fiducial system.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset AprilTag: A robust and flexible visual fiducial system

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.384622Z

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Observation aa1378f6-0b4a-4a64-b5d9-87231037860f · outbound

This paper cites AprilTag 2: Efficient and robust fiducial detection.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset AprilTag 2: Efficient and robust fiducial detection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.359355Z

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Observation 6e25d9a2-252c-4359-ab09-805ae4b7b11d · outbound

This paper cites Extrinsic calibration of camera to lidar using a differentiable checkerboard model.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Extrinsic calibration of camera to lidar using a differentiable checkerboard model

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.335194Z

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Observation 8369d7ed-92c0-47bb-8f68-5feb5f9d3749 · outbound

This paper cites Besl and Neil D.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Besl and Neil D

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.293513Z

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Observation 4325a955-b35f-4467-b0ec-84e534023ad0 · outbound

This paper cites Netvlad: Cnn architecture for weakly supervised place recognition.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Netvlad: Cnn architecture for weakly supervised place recognition

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.256728Z

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Observation b9d628dd-4892-40e8-9f63-f10488ba18aa · outbound

This paper cites Object recognition from local scale-invariant features.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Object recognition from local scale-invariant features

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.213505Z

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Observation d184d857-75f9-4b21-9a96-1d159c2afee4 · outbound

This paper cites Lightglue: Local feature matching at light speed.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Lightglue: Local feature matching at light speed

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.178316Z

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Observation fe972e75-7bfd-4599-a2e2-899a7f5511d1 · outbound

This paper cites Disk: Learning local features with policy gradient.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Disk: Learning local features with policy gradient

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.137288Z

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Observation 066f2aac-8d13-47fd-b2b7-15bed5b5a1ed · outbound

This paper cites Roma: Robust dense feature matching.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Roma: Robust dense feature matching

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.095833Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3fbd6e9f-a624-4cc9-9c34-b9f8c379229e · outbound

This paper cites Grounding image matching in 3d with mast3r.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Grounding image matching in 3d with mast3r

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:52.021885Z

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Observation 010cd84e-9698-42dc-963d-aa3dd35ab4ab · outbound

This paper cites R-score: Revisiting scene coordinate regression for robust large-scale visual localization.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset R-score: Revisiting scene coordinate regression for robust large-scale visual localization

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:51.880866Z

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Observation 6cdc7c4d-db2f-4087-bcfb-3315a0963f96 · outbound

This paper cites Superpoint: Self-supervised interest point detection and description.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Superpoint: Self-supervised interest point detection and description

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:51.736588Z

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Observation 3287797c-6c5f-4de8-ab7c-ac0e82dddbe0 · outbound

This paper cites Gordo, J.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Gordo, J

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:51.590062Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0a5f3f1-dae4-46b9-bb27-9dec19087b52 · outbound

This paper cites Revaud, J.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Revaud, J

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:51.567548Z

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Observation 46bd7e07-afe3-4fa0-8b26-1d97be7ff2d4 · outbound

This paper cites Self-supervising fine-grained region similarities for large-scale image localization.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset Self-supervising fine-grained region similarities for large-scale image localization

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:51.543039Z

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Observation 644abfaf-cf5d-48db-aa3a-3ad31ee7cacb · outbound

This paper cites MegaLoc: One Retrieval to Place Them All.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset MegaLoc: One Retrieval to Place Them All

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:51.383065Z

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