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Paper Citation Record · LEDGER

ZeroVO: Visual Odometry with Minimal Assumptions

As of 8 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 0 inbound Pith citation observations for arXiv:2506.08005.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.08005 v1

Coverage vector

measured 100 of 107 reference resolution

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measured 100 of 100 standing notices

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measured 0 of 0 inbound itemization

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Reference resolution

100 of 107 outbound references displayed

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  • unresolved42
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Outbound references

Observation 9f53fda3-9a57-4ef4-a761-fd23470e6f99 · outbound

This paper cites Visual odometry in smoke occluded environments.

ZeroVO: Visual Odometry with Minimal Assumptions Visual odometry in smoke occluded environments

Reference 1

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Observation f16ee699-3e27-46c3-8efa-4966391deb18 · outbound

This paper cites Vqa: Visual question answering.

ZeroVO: Visual Odometry with Minimal Assumptions Vqa: Visual question answering

Reference 2

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Observation 17e8b705-b619-40d7-b6af-45485fe15696 · outbound

This paper cites Recursive estima- tion of motion, structure, and focal length.PAMI, 1995.

ZeroVO: Visual Odometry with Minimal Assumptions Recursive estima- tion of motion, structure, and focal length.PAMI, 1995

Reference 3

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Observation 4434065a-7c67-43e5-a5b7-d24d5cbcf6f9 · outbound

This paper cites ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring.

ZeroVO: Visual Odometry with Minimal Assumptions ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Reference 4

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Observation dee2dee7-f7fd-4bd2-ba44-ef2cc90d4727 · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning.NeurIPS,.

ZeroVO: Visual Odometry with Minimal Assumptions Mixmatch: A holistic approach to semi-supervised learning.NeurIPS,

Reference 5

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Observation 64397166-dade-4dd7-a480-4aefd495cdf6 · outbound

This paper cites Unsuper- vised scale-consistent depth and ego-motion learning from monocular video.

ZeroVO: Visual Odometry with Minimal Assumptions Unsuper- vised scale-consistent depth and ego-motion learning from monocular video

Reference 6

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Observation 5df38d90-644b-4fee-8e6c-90ea1a17bc26 · outbound

This paper cites On the mathematical properties of the structural similarity in- dex.T-IP, 2011.

ZeroVO: Visual Odometry with Minimal Assumptions On the mathematical properties of the structural similarity in- dex.T-IP, 2011

Reference 7

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Observation f8389625-1c0d-4e33-8c19-8d711319b71f · outbound

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

ZeroVO: Visual Odometry with Minimal Assumptions The euroc micro aerial vehicle datasets.IJRR, 2016

Reference 8

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Observation 878ee961-b477-4560-88b7-826fd97bbd64 · outbound

This paper cites Past, present, and future of simultaneous localiza- tion and mapping: Toward the robust-perception age.T-RO,.

ZeroVO: Visual Odometry with Minimal Assumptions Past, present, and future of simultaneous localiza- tion and mapping: Toward the robust-perception age.T-RO,

Reference 9

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Observation 0837414d-ea1d-4428-ba8e-a61128ecd483 · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

ZeroVO: Visual Odometry with Minimal Assumptions nuscenes: A multi- modal dataset for autonomous driving

Reference 10

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Observation b45851f3-6ca6-40ab-85d7-47d21fe4bf95 · outbound

This paper cites Pseudo-labeling for Scalable 3D Object Detection.

ZeroVO: Visual Odometry with Minimal Assumptions Pseudo-labeling for Scalable 3D Object Detection

Reference 11

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Observation 6c8840c1-81b4-48f7-8969-1da739c3baa0 · outbound

This paper cites Orb-slam3: An ac- curate open-source library for visual, visual–inertial, and multimap slam.T-RO, 2021.

ZeroVO: Visual Odometry with Minimal Assumptions Orb-slam3: An ac- curate open-source library for visual, visual–inertial, and multimap slam.T-RO, 2021

Reference 12

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Observation 6fb28a6f-a408-4ab0-8e74-41ae2e2ff9f8 · outbound

This paper cites Rgb cameras fail- ures and their effects in autonomous driving applications.

ZeroVO: Visual Odometry with Minimal Assumptions Rgb cameras fail- ures and their effects in autonomous driving applications

Reference 13

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Observation f4d3b2e0-f4c1-4ec3-9c84-aefc544a0028 · outbound

This paper cites LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing.

ZeroVO: Visual Odometry with Minimal Assumptions LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Reference 14

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Observation 3ef00d78-6462-4028-ac32-657f3915a9c5 · outbound

This paper cites Structure from motion causally integrated over time.PAMI, 2002.

ZeroVO: Visual Odometry with Minimal Assumptions Structure from motion causally integrated over time.PAMI, 2002

Reference 15

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Observation cc627559-3c7e-4c74-bb96-0a71babba303 · outbound

This paper cites Semi-Supervised Sequence Modeling with Cross-View Training.

ZeroVO: Visual Odometry with Minimal Assumptions Semi-Supervised Sequence Modeling with Cross-View Training

Reference 16

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Observation de256c47-a58a-4e70-917e-0cd8fe804bda · outbound

This paper cites Contrastive learning for image cap- tioning.NeurIPS, 30, 2017.

ZeroVO: Visual Odometry with Minimal Assumptions Contrastive learning for image cap- tioning.NeurIPS, 30, 2017

Reference 17

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Observation 4d1b93d4-1979-40bf-a783-95d04dc0ca93 · outbound

This paper cites Springer, 2007.

ZeroVO: Visual Odometry with Minimal Assumptions Springer, 2007

Reference 18

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Observation 58016333-d23f-4f06-96fe-6450bda2e249 · outbound

This paper cites Carla: An open urban driv- ing simulator.

ZeroVO: Visual Odometry with Minimal Assumptions Carla: An open urban driv- ing simulator

Reference 19

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Observation cf757765-e6f9-42b3-8cb2-b8861cf38e46 · outbound

This paper cites An im- age is worth 16x16 words: Transformers for image recog- nition at scale.ICLR, 2021.

ZeroVO: Visual Odometry with Minimal Assumptions An im- age is worth 16x16 words: Transformers for image recog- nition at scale.ICLR, 2021

Reference 20

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Observation 9b09d26a-b637-4a90-8330-01ab0124e246 · outbound

This paper cites Direct sparse odometry.

ZeroVO: Visual Odometry with Minimal Assumptions Direct sparse odometry

Reference 21

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Observation 2f0a44b9-fe5d-4c1a-9a52-49e4822d83b7 · outbound

This paper cites Visual odometry: Part i: The first 30 years and fundamentals.

ZeroVO: Visual Odometry with Minimal Assumptions Visual odometry: Part i: The first 30 years and fundamentals

Reference 22

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Observation 061f17ca-8f51-4c75-ba96-92cdebdd55d7 · outbound

This paper cites Note-rcnn: Noise tolerant ensemble rcnn for semi-supervised object detection.

ZeroVO: Visual Odometry with Minimal Assumptions Note-rcnn: Noise tolerant ensemble rcnn for semi-supervised object detection

Reference 23

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Observation abe263bd-45a5-454a-b0f3-7d0e67059d15 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

ZeroVO: Visual Odometry with Minimal Assumptions Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 24

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Observation 0eb2c006-95bb-4937-b4de-c0acc14bcfff · outbound

This paper cites Learning optical flow, depth, and scene flow with- out real-world labels.RA-L, 2022.

ZeroVO: Visual Odometry with Minimal Assumptions Learning optical flow, depth, and scene flow with- out real-world labels.RA-L, 2022

Reference 25

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Observation 80840033-5e15-4ec6-badb-4b10a01fdf0c · outbound

This paper cites Towards zero-shot scale-aware monoc- ular depth estimation.

ZeroVO: Visual Odometry with Minimal Assumptions Towards zero-shot scale-aware monoc- ular depth estimation

Reference 26

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Observation 41d0291c-e98e-456f-8150-609623e975d9 · outbound

This paper cites Variational Pretraining for Semi-supervised Text Classification.

ZeroVO: Visual Odometry with Minimal Assumptions Variational Pretraining for Semi-supervised Text Classification

Reference 27

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Observation 3e7befcf-0af6-4731-bd13-c9aee4b337bb · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

ZeroVO: Visual Odometry with Minimal Assumptions Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 28

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Observation d55c8ef9-cf02-4824-8ea7-c6e496ecbb9b · outbound

This paper cites Deep visual mpc-policy learning for navigation.RA-L, 4(4), 2019.

ZeroVO: Visual Odometry with Minimal Assumptions Deep visual mpc-policy learning for navigation.RA-L, 4(4), 2019

Reference 29

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Observation 82a631f4-399f-4789-a6a5-a6a63e0ecbfd · outbound

This paper cites Metric3d v2: A versatile monocular geomet- ric foundation model for zero-shot metric depth and surface normal estimation.PAMI, 2024.

ZeroVO: Visual Odometry with Minimal Assumptions Metric3d v2: A versatile monocular geomet- ric foundation model for zero-shot metric depth and surface normal estimation.PAMI, 2024

Reference 30

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Observation 8e8a129d-b971-4521-ae52-600bf4ae8eb5 · outbound

This paper cites Generalized product quantization network for semi-supervised image retrieval.

ZeroVO: Visual Odometry with Minimal Assumptions Generalized product quantization network for semi-supervised image retrieval

Reference 31

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Observation 2c3f2cc2-fe0d-47b9-bd0e-5118608e0394 · outbound

This paper cites Consistency-based semi-supervised learning for object de- tection.

ZeroVO: Visual Odometry with Minimal Assumptions Consistency-based semi-supervised learning for object de- tection

Reference 32

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Observation bfc87633-3ab5-4b2f-85eb-cfd9e34a5faf · outbound

This paper cites Self-supervised geometry-guided ini- tialization for robust monocular visual odometry.arXiv preprint arXiv:2406.00929, 2024.

ZeroVO: Visual Odometry with Minimal Assumptions Self-supervised geometry-guided ini- tialization for robust monocular visual odometry.arXiv preprint arXiv:2406.00929, 2024

Reference 33

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Observation 608d2f83-b021-4a44-b676-c51cb943bb55 · outbound

This paper cites Mdn-vo: Estimating visual odometry with confidence.

ZeroVO: Visual Odometry with Minimal Assumptions Mdn-vo: Estimating visual odometry with confidence

Reference 34

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Observation 74bc717c-eaf4-434e-9f13-8f0e7925c247 · outbound

This paper cites Geometric loss func- tions for camera pose regression with deep learning.

ZeroVO: Visual Odometry with Minimal Assumptions Geometric loss func- tions for camera pose regression with deep learning

Reference 35

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Observation 639945e0-b237-4773-8b88-290293feffec · outbound

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

ZeroVO: Visual Odometry with Minimal Assumptions Posenet: A convolutional network for real-time 6-dof cam- era relocalization

Reference 36

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Observation 3b7f226e-7992-4c08-a035-c00a8bfb9258 · outbound

This paper cites Motion diversification networks.

ZeroVO: Visual Odometry with Minimal Assumptions Motion diversification networks

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.048298Z digest=sha256:4e5b80f5fcdc094ebf127f59c4f8477f352ecbd18381a0c30cd36856166b79a2

Observation 51789020-2377-41e8-ae41-174be8c36524 · outbound

This paper cites Robust visual odometry to irregular illumination changes with rgb-d cam- era.

ZeroVO: Visual Odometry with Minimal Assumptions Robust visual odometry to irregular illumination changes with rgb-d cam- era

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.754193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.053020Z digest=sha256:dabd3f2ead126bf43a6142774363f2f6dbd741c27019be42f6b87e1610be96d5

Observation c212bd8b-f893-44fc-9dd8-eef757034d62 · outbound

This paper cites Principal an- gles between subspaces in an a-based scalar product: algo- rithms and perturbation estimates.SIAM Journal on Scien- tific Computing, 2002.

ZeroVO: Visual Odometry with Minimal Assumptions Principal an- gles between subspaces in an a-based scalar product: algo- rithms and perturbation estimates.SIAM Journal on Scien- tific Computing, 2002

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.738515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.057511Z digest=sha256:3f87797567ccde51cb566c87c9262f8151663d3b811c57d2c194ebee946fb854

Observation e13d2f00-10a3-404a-962f-c1e4586bb0a5 · outbound

This paper cites XVO: Generalized visual odometry via cross- modal self-training.

ZeroVO: Visual Odometry with Minimal Assumptions XVO: Generalized visual odometry via cross- modal self-training

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.723598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.062137Z digest=sha256:5425d041e3f6cebce8b2cf30e9e18c168b5de70162e2682c5f4c593cc903b870

Observation 0bf2d514-f7bd-4a06-9c0f-d41e2179722f · outbound

This paper cites Uncertainty-guided never-ending learning to drive.

ZeroVO: Visual Odometry with Minimal Assumptions Uncertainty-guided never-ending learning to drive

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.708635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.066910Z digest=sha256:56efd0f2a33646ed7c3b623997bec39e54abeda70b96b97898f07635805dbcdd

Observation 27cc2ba1-40fd-427f-ba6e-d3753ae7efb6 · outbound

This paper cites Pseudo-label: The simple and effi- cient semi-supervised learning method for deep neural net- works.

ZeroVO: Visual Odometry with Minimal Assumptions Pseudo-label: The simple and effi- cient semi-supervised learning method for deep neural net- works

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.693280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.071434Z digest=sha256:3f3e066b804105d386f2140488a8864c09cfe2d3fc2c48198f3c7062fc93762b

Observation 93fde1b2-3ed8-4292-8f5f-7b449282e1d1 · outbound

This paper cites Label efficient semi-supervised learning via graph filtering.

ZeroVO: Visual Odometry with Minimal Assumptions Label efficient semi-supervised learning via graph filtering

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.678224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.076470Z digest=sha256:235abdaf3c60fbce56d2acf5c013bef89322f65aa96045fb47d56f8832a88011

Observation f86aa43d-754c-40ec-94b9-ba3711246489 · outbound

This paper cites Undeepvo: Monocular visual odometry through unsuper- vised deep learning.

ZeroVO: Visual Odometry with Minimal Assumptions Undeepvo: Monocular visual odometry through unsuper- vised deep learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.663490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.081050Z digest=sha256:1a42a6e163356d843f64b81e057d0de5165b9711120c892b489fcf45c66936fa

Observation 0b7d42d6-885d-4dc4-b72e-bdc67054308e · outbound

This paper cites Self-supervised deep visual odometry with online adaptation.

ZeroVO: Visual Odometry with Minimal Assumptions Self-supervised deep visual odometry with online adaptation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.647751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.085681Z digest=sha256:155c75b85a6320df1c30b8b1dce48a13dfe80ab3bddf814d70f9dfc520bb53d4

Observation 19b1d76e-d910-47b6-b722-a2ea9e962f9a · outbound

This paper cites Deep patch visual slam.

ZeroVO: Visual Odometry with Minimal Assumptions Deep patch visual slam

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.632353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.090595Z digest=sha256:96f93d14b55beea1e8f97592a63b68e7f1f303728c155318f359288ae1d7d5f3

Observation 87012fd6-32ca-4daa-84df-db29af67d501 · outbound

This paper cites Improved baselines with visual instruction tuning.

ZeroVO: Visual Odometry with Minimal Assumptions Improved baselines with visual instruction tuning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.617130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.095151Z digest=sha256:bd75aefe261c6649ef301efafb5ffaf4f2ad0f9a6de59bf64c4f8b22daf58bbe

Observation 377e08ca-7ca7-4549-88da-f416fae90a93 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

ZeroVO: Visual Odometry with Minimal Assumptions Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.601993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.099927Z digest=sha256:445b46c7233b3628666957086288bcf975186bc7e961996070ce3c5c69a0b4df

Observation 9d229363-ebec-4ba2-bd9d-3d11f9a49c76 · outbound

This paper cites Visual instruction tuning.NeurIPS, 2024.

ZeroVO: Visual Odometry with Minimal Assumptions Visual instruction tuning.NeurIPS, 2024

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.585455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.104674Z digest=sha256:3a91d8baf7c4a5a68d34bd221a7aa6491ed16c00bb343fb6bdb62c08ca102535

Observation b0e4dc90-d51d-4690-9e97-909398100931 · outbound

This paper cites LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents.

ZeroVO: Visual Odometry with Minimal Assumptions LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:59.109392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:59.109392Z digest=sha256:8cde877c9b5f379c359aeac3571c4bc3b386f1483762e7820a345bd49b91fbc7

Observation 355aac4a-dd05-4766-a690-8ac97af45eb9 · outbound

This paper cites Un- supervised learning of depth and ego-motion from monoc- ular video using 3d geometric constraints.

ZeroVO: Visual Odometry with Minimal Assumptions Un- supervised learning of depth and ego-motion from monoc- ular video using 3d geometric constraints

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.570151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.114592Z digest=sha256:e90bc4086054d3181af4310ad14752ef9b4fbeb64f03cc4adac05dc1227d77ac

Observation dc603e6b-c930-4cc7-82b9-0ee3d89758a5 · outbound

This paper cites an unresolved cited work.

ZeroVO: Visual Odometry with Minimal Assumptions Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:00.553929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.119464Z digest=sha256:8e58662ad167b71c44dfae55b58ae18fccf43f922b529aaaf9699a3a4ef882b3

Observation 9a765b8f-09a2-4414-a555-7ea2a22c6003 · outbound

This paper cites Reinforcement learning meets visual odometry.ECCV, 2024.

ZeroVO: Visual Odometry with Minimal Assumptions Reinforcement learning meets visual odometry.ECCV, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.538868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.124097Z digest=sha256:9811f4cd9220228a146a827bff18b12d0e5e4afec32ac6ad5dca02e2522f9773

Observation 10dbdf1f-5d38-4549-8b78-c5f9c604d2e0 · outbound

This paper cites Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.

ZeroVO: Visual Odometry with Minimal Assumptions Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:59.129433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:59.129433Z digest=sha256:c72afac68e9d15f8d7e0bff24eb3675a7e92d9a5c04bcb049efdf03af6e141cf

Observation 7a59c013-0783-4224-9b54-6de5f48814a1 · outbound

This paper cites Probabilistic orientation estimation with matrix fisher dis- tributions.

ZeroVO: Visual Odometry with Minimal Assumptions Probabilistic orientation estimation with matrix fisher dis- tributions

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.522574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.134300Z digest=sha256:c7db0cea35a45e278c8ba8839a6cc5edb400dd4be783981b354f194d21f895a4

Observation 46298c83-9f26-4e72-82d4-e02eb36f7c95 · outbound

This paper cites Orb-slam2: An open- source slam system for monocular, stereo, and rgb-d cam- eras.T-RO, 2017.

ZeroVO: Visual Odometry with Minimal Assumptions Orb-slam2: An open- source slam system for monocular, stereo, and rgb-d cam- eras.T-RO, 2017

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.507141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.139424Z digest=sha256:908f4be435a285b190c7ff7b79924347514b3fd0f0309a7faa60525580420e37

Observation f108b76d-a51e-402b-9d97-061930054463 · outbound

This paper cites Orb-slam: a versatile and accurate monocular slam system.T-RO, 2015.

ZeroVO: Visual Odometry with Minimal Assumptions Orb-slam: a versatile and accurate monocular slam system.T-RO, 2015

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.491329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.144179Z digest=sha256:a81dab28ddb2330b668a470cfeacd992886119040bbcb35c7fd56f560c9ed070

Observation 9d59b45a-88e4-4996-8643-e191c24d125a · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.

ZeroVO: Visual Odometry with Minimal Assumptions Unidepth: Universal monocular metric depth estimation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.475435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.148879Z digest=sha256:c733adcd7fffaf8679555be930f384e5c14180bd67b1f1067f915ec78c36639e

Observation cd5109cc-85b7-4205-99c7-fd1b2f4905b8 · outbound

This paper cites A visual odometry framework robust to motion blur.

ZeroVO: Visual Odometry with Minimal Assumptions A visual odometry framework robust to motion blur

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.458918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.154180Z digest=sha256:8b480a04956751b301cf54635ff6d6f29d865c70870237183a17112c06380925

Observation 6d935a62-3948-405e-82ba-fb8afde912c7 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

ZeroVO: Visual Odometry with Minimal Assumptions Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.442634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.159233Z digest=sha256:3c3e4a2fb0c15eef22e28344b9edaa467c1c1480b0b881b14049027231dc2000

Observation b45e2209-4f5e-43ea-ae31-fe2b78177247 · outbound

This paper cites In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning.

ZeroVO: Visual Odometry with Minimal Assumptions In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.426493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.163756Z digest=sha256:b21bdbb9dd77489b28dcad14325c461e88861c8f9a7acfae087c2cc297501aa2

Observation 51c7a4e9-f147-4af9-a40a-c5a983437b6b · outbound

This paper cites The 8-point algorithm as an inductive bias for relative pose pre- diction by vits.

ZeroVO: Visual Odometry with Minimal Assumptions The 8-point algorithm as an inductive bias for relative pose pre- diction by vits

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.409698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.168294Z digest=sha256:53f7f8e4e6af4b93886cffa8c48743c7ad21d82427bdc55f9b177a040c4d5f60

Observation c3f6bb24-5ffb-487d-b286-ee50fcb0e0b1 · outbound

This paper cites The tum vi benchmark for evaluating visual-inertial odometry.

ZeroVO: Visual Odometry with Minimal Assumptions The tum vi benchmark for evaluating visual-inertial odometry

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.391994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.173031Z digest=sha256:91a6f27ae1dd2c8d1d52c0d4b511461db1ac34900bc6178d5e0d487fb64de713

Observation 54fbb131-ee45-4f3e-ad33-6bc7714b28ae · outbound

This paper cites Rethinking Semi-supervised Learning with Language Models.

ZeroVO: Visual Odometry with Minimal Assumptions Rethinking Semi-supervised Learning with Language Models

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:26:59.513481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.177801Z digest=sha256:4284d4c81394c9dd28a6f1d1063cde033e1b0600528e55b09d7c5ee884280e37

Observation 0cdaa5fb-017d-4520-bacb-f339e55b376a · outbound

This paper cites Semi supervised semantic segmentation using generative adversarial network.

ZeroVO: Visual Odometry with Minimal Assumptions Semi supervised semantic segmentation using generative adversarial network

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.373907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.182750Z digest=sha256:a90ad622a1036a7c6a0bd28b41ea3d92f17030e0b2d55a25d4aab7d7dfa4c94a

Observation 3551cd94-d729-4ff3-b7a0-cbc420f7b0d7 · outbound

This paper cites BA-Net: Dense Bundle Adjustment Network.

ZeroVO: Visual Odometry with Minimal Assumptions BA-Net: Dense Bundle Adjustment Network

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:59.187208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:59.187208Z digest=sha256:ef73468ae734f048beb174d37d7b2790fe26e68fa5c2b93338973769d2c885c6

Observation 6cd050c9-4147-4933-a469-6a4e1d1eb940 · outbound

This paper cites Humble teachers teach better students for semi-supervised object detection.

ZeroVO: Visual Odometry with Minimal Assumptions Humble teachers teach better students for semi-supervised object detection

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.357462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.192188Z digest=sha256:1c4ed8769313a5957fb9c15023527033aed316c5aaf170137d4a3a3f04547090

Observation 140f3c06-4686-4e62-9558-7d517bf606e5 · outbound

This paper cites DROID-SLAM: Deep visual slam for monocular, stereo, and rgb-d cameras.NeurIPS,.

ZeroVO: Visual Odometry with Minimal Assumptions DROID-SLAM: Deep visual slam for monocular, stereo, and rgb-d cameras.NeurIPS,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.340412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.196728Z digest=sha256:f4f43019ff6f1ae3ed9fedf5ac99bfab09550d55ef789b6ae3baaeae8a957f0d

Observation 1a2b4006-e9f1-4fb8-b964-d6ef33307a4c · outbound

This paper cites Deep patch visual odometry.NeurIPS, 2023.

ZeroVO: Visual Odometry with Minimal Assumptions Deep patch visual odometry.NeurIPS, 2023

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.304864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.206766Z digest=sha256:4c83c628871a24ef33e066330fa85e55d3484098e9fd27a097773519cbc4b9cc

Observation 58afaf7b-3bba-43bb-a8f4-de1681eb3256 · outbound

This paper cites Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving.

ZeroVO: Visual Odometry with Minimal Assumptions Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:59.211513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:59.211513Z digest=sha256:63df96415912b3fe0d5bdb2e644a5943d2b09cea742146ad1ce198d694946aac

Observation 0ac791a1-17cc-4210-a9d9-5c6937eeffc0 · outbound

This paper cites Attention is all you need.

ZeroVO: Visual Odometry with Minimal Assumptions Attention is all you need

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:59.216428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:59.216428Z digest=sha256:252cd31544fcbd44b52fbe002fb625261867fc8d28bb96b3a6d663d38cea5925

Observation fad7a047-8311-49ce-84f8-797eb4c74f70 · outbound

This paper cites Learning of structure and motion from video.

ZeroVO: Visual Odometry with Minimal Assumptions Learning of structure and motion from video

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.275849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.221029Z digest=sha256:e0b2c9eb8d275058c09aa151fb36ed292bcd859c1781f24be238369840d6cfd6

Observation 4bf1be29-540b-44fc-8320-b2feb8bdda64 · outbound

This paper cites 3DIoUMatch: Leveraging IoU pre- diction for semi-supervised 3D object detection.

ZeroVO: Visual Odometry with Minimal Assumptions 3DIoUMatch: Leveraging IoU pre- diction for semi-supervised 3D object detection

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.258523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.225681Z digest=sha256:3c2072dbde019adff048ea3ea8b1650523d578919ab2f8d699a6e76158e43304

Observation 276ed0be-aebc-4986-b418-dbe5e08932c7 · outbound

This paper cites Deepvo: Towards end-to-end visual odometry with deep re- current convolutional neural networks.

ZeroVO: Visual Odometry with Minimal Assumptions Deepvo: Towards end-to-end visual odometry with deep re- current convolutional neural networks

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.242644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.230866Z digest=sha256:a8535438df87013aa0ef9e8cd7fb74f3be1a62c9a29a69c140f62f76823bb817

Observation a81c938f-d5f8-430b-8497-5eca753ae1dc · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam.

ZeroVO: Visual Odometry with Minimal Assumptions Tartanair: A dataset to push the limits of visual slam

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.226238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.235578Z digest=sha256:e02ab3877d296759c42801f5c514f929006fac7d86a18f2af57611d8994120d8

Observation 4cc1d97f-9fcb-4cdb-835d-7ad95d85e61d · outbound

This paper cites Tar- tanvo: A generalizable learning-based vo.

ZeroVO: Visual Odometry with Minimal Assumptions Tar- tanvo: A generalizable learning-based vo

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.210519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.240934Z digest=sha256:54e9c1986999f73aaaea97a35f4decc8bb956c73144de2b7776c3bfe89b0be9e

Observation 966712c8-65da-45c5-9ce4-b1cf59625d0f · outbound

This paper cites Pseudo- lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving.

ZeroVO: Visual Odometry with Minimal Assumptions Pseudo- lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.195114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.245805Z digest=sha256:ca9b6a400fca72f9c6331ef90bcc81314d924cba5b1b948787804ec0ca3f5fc8

Observation 4cb3ec8a-d4cb-427f-9dc5-d4aaee527b5e · outbound

This paper cites SEA-RAFT: Simple, efficient, accurate raft for optical flow.

ZeroVO: Visual Odometry with Minimal Assumptions SEA-RAFT: Simple, efficient, accurate raft for optical flow

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.179321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.250644Z digest=sha256:dabafda42b730afdb253859a94609b8a8bc7aa92d5b2b595bc031c4695edbf8f

Observation 0bea4eb5-5bca-4bdd-9ebb-728117ab75fc · outbound

This paper cites Ar- goverse 2: Next generation datasets for self-driving percep- tion and forecasting, 2023.

ZeroVO: Visual Odometry with Minimal Assumptions Ar- goverse 2: Next generation datasets for self-driving percep- tion and forecasting, 2023

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.163504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.255355Z digest=sha256:31564fec6af862d1ff632bd9976950ab689432c7e8c99c4bdcdde2d36a437a50

Observation 70831406-33b8-4d1b-ab42-e1520ce2fe7c · outbound

This paper cites Beyond tracking: Selecting mem- ory and refining poses for deep visual odometry.

ZeroVO: Visual Odometry with Minimal Assumptions Beyond tracking: Selecting mem- ory and refining poses for deep visual odometry

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.147330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.259936Z digest=sha256:426374c5dc7b8addf6971113137f8a4ebb537744bd43cb73b2c4df1e25690e28

Observation c870fc12-db58-4253-ab0f-6c71e6645e77 · outbound

This paper cites Billion-scale semi-supervised learning for image classification.

ZeroVO: Visual Odometry with Minimal Assumptions Billion-scale semi-supervised learning for image classification

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:59.264538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:59.264538Z digest=sha256:b454d8ec832de21c816f021098bde7685678fcd426c2a66085e9ecf3198763f2

Observation 2b8a7377-d112-407b-9833-da06b8b3d863 · outbound

This paper cites Unified contrastive learning in image-text-label space.

ZeroVO: Visual Odometry with Minimal Assumptions Unified contrastive learning in image-text-label space

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.131198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.269801Z digest=sha256:7d28552fdaba3c2d2f3d83bceebafbfc20995db38329408445ecb26143865daa

Observation f3b57def-d3d9-4353-a86a-267afc7c50fa · outbound

This paper cites Generalized predictive model for autonomous driving.

ZeroVO: Visual Odometry with Minimal Assumptions Generalized predictive model for autonomous driving

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.115356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.274504Z digest=sha256:80d2da67872b230f31c608032773fc29cca74970892449c0566d6b114be9667e

Observation 6047acac-f77a-45f1-8fa8-1cc85a470a00 · outbound

This paper cites Depth anything: Un- leashing the power of large-scale unlabeled data.

ZeroVO: Visual Odometry with Minimal Assumptions Depth anything: Un- leashing the power of large-scale unlabeled data

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.098886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.279156Z digest=sha256:b3bc18472efeda2920075d40d6ce4c5b9ff5fbb890edd73b02ca7d0b7d9cc889

Observation dbf9410b-006b-454d-901a-ccea2426f883 · outbound

This paper cites D3vo: Deep depth, deep pose and deep uncer- tainty for monocular visual odometry.

ZeroVO: Visual Odometry with Minimal Assumptions D3vo: Deep depth, deep pose and deep uncer- tainty for monocular visual odometry

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.082141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.283915Z digest=sha256:a57930f18df255e006e317d8b1a9eadcccad90aec1c0e0e47795bb9103795419

Observation 31dd256e-4b72-44a6-b6f8-85b35e2ba007 · outbound

This paper cites A Survey on Deep Semi-supervised Learning.

ZeroVO: Visual Odometry with Minimal Assumptions A Survey on Deep Semi-supervised Learning

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:59.288454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:59.288454Z digest=sha256:138e0998da0f3ce6b2270ee1813a2f8dd2293fbcdc45969e764820d571d8cedf

Observation 031ecb68-cb9e-45b0-94a7-da6422346be0 · outbound

This paper cites Pvo: Panoptic visual odometry.

ZeroVO: Visual Odometry with Minimal Assumptions Pvo: Panoptic visual odometry

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.065281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.293095Z digest=sha256:339983877eaca10e060b831a0334755ed9ce3aa31bfb033d44e08b773eb8f2c2

Observation f1ead349-4f3d-42de-97b2-6db0cda5948d · outbound

This paper cites Met- ric3d: Towards zero-shot metric 3d prediction from a single image.

ZeroVO: Visual Odometry with Minimal Assumptions Met- ric3d: Towards zero-shot metric 3d prediction from a single image

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.047731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.298073Z digest=sha256:94c60080d8cfa13910b9abe23f29cfb82f4cb1b273eaeb5ffbd227d64dc95c71

Observation 58938c4e-47b1-41d6-b4f5-680a42b27af4 · outbound

This paper cites Geonet: Unsupervised learn- ing of dense depth, optical flow and camera pose.

ZeroVO: Visual Odometry with Minimal Assumptions Geonet: Unsupervised learn- ing of dense depth, optical flow and camera pose

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.028834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.302843Z digest=sha256:7a52bce12b8a70f5df41b0b0f0eda16532633d119f245487d6862e6b8935243d

Observation cb36bf77-df0f-4de4-931c-d805bcba35a9 · outbound

This paper cites Image captioning with semantic attention.

ZeroVO: Visual Odometry with Minimal Assumptions Image captioning with semantic attention

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:00.009720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.307881Z digest=sha256:995747a7bd6d501eb1cde66a9e5979667f36b4ac43d095589447d52ab93af3f9

Observation 16cad1dd-5b53-44c5-9171-eb66e7cfb388 · outbound

This paper cites Wordepth: Variational language prior for monocular depth estimation.

ZeroVO: Visual Odometry with Minimal Assumptions Wordepth: Variational language prior for monocular depth estimation

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:26:59.993529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.312883Z digest=sha256:2c9178f602fb6fc176592c1ce8ad508115d1c41b7d17e80e7a404631068ba979

Observation ba291a5a-2e7b-45ab-84c4-142af991ecc3 · outbound

This paper cites Unsupervised learn- ing of monocular depth estimation and visual odometry with deep feature reconstruction.

ZeroVO: Visual Odometry with Minimal Assumptions Unsupervised learn- ing of monocular depth estimation and visual odometry with deep feature reconstruction

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:26:59.977621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.317648Z digest=sha256:9710c666e80d0446b385e921de9765cf9497b8fa825881e64f4d73276f1fbf9a

Observation 4f189d88-0fd6-45a3-a199-e2f1b154c5be · outbound

This paper cites DF-VO: What Should Be Learnt for Visual Odometry?.

ZeroVO: Visual Odometry with Minimal Assumptions DF-VO: What Should Be Learnt for Visual Odometry?

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:59.322448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:59.322448Z digest=sha256:3e139f4de47b31af25e3a6e6bdf4e6f77ffc031f0bcf9f583fac708c7854f6cd

Observation c31dd7fd-aaed-49c6-be5f-c5a206647323 · outbound

This paper cites Camera calibration from images of spheres.PAMI, 2007.

ZeroVO: Visual Odometry with Minimal Assumptions Camera calibration from images of spheres.PAMI, 2007

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:26:59.961679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.327339Z digest=sha256:b3c6baf84df6313309b83afe424bc4eed9052c2c371dae724762de369074e5b1

Observation 40acdbc5-c138-4ae6-bbcb-a8507f8d085e · outbound

This paper cites Selfd: Self-learning large-scale driving policies from the web.

ZeroVO: Visual Odometry with Minimal Assumptions Selfd: Self-learning large-scale driving policies from the web

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:26:59.945425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.332052Z digest=sha256:314746ccc61c3f46b3cb89e6e2a29a6898e47abda8dd13523084e6bd1ab73ffa

Observation fe2a99ff-e5bc-4b2d-ab77-3a007d078746 · outbound

This paper cites Feedback-guided autonomous driving.

ZeroVO: Visual Odometry with Minimal Assumptions Feedback-guided autonomous driving

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:26:59.928356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.336740Z digest=sha256:486dd704baa81ad11cfbac14c9b22e8b7180c5c2803526cb9f9491a6f6c9de6c

Observation 196ec23a-53d4-4f35-a532-bd3bd45d4243 · outbound

This paper cites A flexible online camera calibration using line seg- ments.Journal of Sensors, 2016.

ZeroVO: Visual Odometry with Minimal Assumptions A flexible online camera calibration using line seg- ments.Journal of Sensors, 2016

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:26:59.911981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.341549Z digest=sha256:bfdac782698d240307577cbd53883b6202e53a633570623010fc9f88867060a5

Observation 34bca9c4-8a2a-4755-b934-03e8ffdb5808 · outbound

This paper cites an unresolved cited work.

ZeroVO: Visual Odometry with Minimal Assumptions Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:26:59.895157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.346671Z digest=sha256:9d20f5a9fdb0d007d54c3143c11fd67c77f2f7fb833b6fca71b2fe70e351f005

Observation cac66701-7076-4209-a4f0-df70aabf850a · outbound

This paper cites Camera calibration with one- dimensional objects.PAMI, 2004.

ZeroVO: Visual Odometry with Minimal Assumptions Camera calibration with one- dimensional objects.PAMI, 2004

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:26:59.878555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.351702Z digest=sha256:37b5136ec829d6e5dc6f967aa77b29d9472649d219071dac0b583b2fd9044ed3

Observation 9a3e3b11-d77d-43a9-b0ec-0808af4f7edf · outbound

This paper cites Maskflownet: Asymmetric feature matching with learnable occlusion mask.

ZeroVO: Visual Odometry with Minimal Assumptions Maskflownet: Asymmetric feature matching with learnable occlusion mask

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:26:59.861685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:26:59.356210Z digest=sha256:f71b8c7c652038a4f1bb254d557dbe5abe3e077fadc2f5aac15fa708cb17838e

Pith citing papers

No inbound Pith citation observations are available.