ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device | Paper Citation Record

Observation bc7fea6b-f64d-4af7-9139-d30411d45317 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV) workshops.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the European conference on computer vision (ECCV) workshops

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.883752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c287ef2-31c3-472e-98d0-3a0906c3636e · outbound

This paper cites In: European Conference on Computer Vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: European Conference on Computer Vision

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.904360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fcc5b1d4-0452-47e4-8802-d374938b751f · outbound

This paper cites Sensors 21(1), 15 (2020) 5.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Sensors 21(1), 15 (2020) 5

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.889649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb6b8698-dc7d-470a-87fc-65159788cb7a · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.900604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c6571fe-3d3e-48c3-b370-02489396ff33 · outbound

This paper cites In: Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part I.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part I

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.907531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0d85094-df52-42d5-9c0b-e655d71d404b · outbound

This paper cites an unresolved cited work.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Unresolved cited work

Reference 6

Resolution: parse uncertain; raw_fallback, observed 2026-07-10T02:46:43.900342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86446250-59c1-4f3d-85ae-03f74bd330a8 · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.320985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d8db3c3-6918-4e62-b985-bf39e205cc02 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Advances in Neural Information Processing Systems

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.887339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7189c574-e1e7-428e-887e-a560ee9247c4 · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.329238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9891466f-32f3-4e56-9291-d12d093095fc · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision workshops.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF international conference on computer vision workshops

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.898436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aea6aacb-d53d-43a7-806e-2c7dcb68ce1d · outbound

This paper cites In: Proceed- ings of the Computer Vision and Pattern Recognition Conference.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceed- ings of the Computer Vision and Pattern Recognition Conference

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.888024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f5b91cd-3d4b-4a48-b4fc-4537c85d3492 · outbound

This paper cites Advances in neural information processing systems29(2016) 4.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Advances in neural information processing systems29(2016) 4

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.902600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bed561b2-013d-44c3-9867-83eff5f74761 · outbound

This paper cites IEEE Internet of Things Journal9(1), 25–36 (2021) 5.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device IEEE Internet of Things Journal9(1), 25–36 (2021) 5

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.892903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7586a3f3-f583-4ed5-bbfd-f1c6748983b3 · outbound

This paper cites In: Proc.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proc

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.909145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c627f66-401c-497b-937e-61a22a9d106e · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.882841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8172d3d7-b01e-4216-8cf8-402c9301111f · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.886262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5f6c821-95ba-4d3e-8e74-99900ff6abe1 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.347545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70885845-06b2-46a8-a57d-0a4e947feac4 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.896603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 659820ab-c258-4a23-a8dc-3388be2528d1 · outbound

This paper cites In: International Con- ference on Computer Vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: International Con- ference on Computer Vision

Reference 19

Resolution: malformed identifier; arxiv_id, observed 2026-07-10T01:46:41.342307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eaa19ad7-63f0-4d32-90df-f18f999492ca · outbound

This paper cites Advances in neural information processing sys- tems27(2014) 10.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Advances in neural information processing sys- tems27(2014) 10

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.896863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e1990e35-7b96-4afe-bebd-67af793601c3 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.898599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9449a7f1-7446-44e5-ab5c-425fdeb41d79 · outbound

This paper cites In: European Conference on Computer Vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: European Conference on Computer Vision

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.891252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 41d4eb0f-059a-4829-bf8f-64f5b8e0265a · outbound

This paper cites In: European Conference on Com- puter Vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: European Conference on Com- puter Vision

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.733499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8457ed7b-3ba4-4c47-a2b7-88315d83c143 · outbound

This paper cites International Journal of Robotics Research32(11), 1231–1237 (2013).

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device International Journal of Robotics Research32(11), 1231–1237 (2013)

Reference 24

Resolution: verified exact; doi, observed 2026-07-10T01:46:40.826912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab30519b-c1c6-4766-87b4-32dfd54f83c9 · outbound

This paper cites The international journal of robotics research32(11), 1231–1237 (2013) 10.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device The international journal of robotics research32(11), 1231–1237 (2013) 10

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.735323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fadc25ef-752e-4e36-8a14-f6a2773fa6b8 · outbound

This paper cites Conference on Computer Vision and Pattern Recognition pp.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Conference on Computer Vision and Pattern Recognition pp

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-10T01:46:40.831814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8e80c9d-53af-483c-b3cd-c8803e135a1c · outbound

This paper cites International Conference on Computer Vision 2019-Octob, 3827–3837 (2019).https://doi.org/10.1109/ICCV.2019.00393 2, 4.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device International Conference on Computer Vision 2019-Octob, 3827–3837 (2019).https://doi.org/10.1109/ICCV.2019.00393 2, 4

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-10T01:46:40.836358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9d8b361-fbbc-4888-8007-0ecd040b05dc · outbound

This paper cites In: The IEEE International Conference on Com- puter Vision (ICCV) (2019) 10.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: The IEEE International Conference on Com- puter Vision (ICCV) (2019) 10

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.910885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e5b9e9e-a18d-45ad-89b9-f08657697c4a · outbound

This paper cites Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.339736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 390e318c-50b8-4a94-9f91-6430820ba524 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence37(9), 1904–1916 (2015) 8.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device IEEE transactions on pattern analysis and machine intelligence37(9), 1904–1916 (2015) 8

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:46:43.889107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ec67feb-20c6-4fb8-9d33-470814005348 · outbound

This paper cites an unresolved cited work.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-07-10T02:46:43.905883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6cc13c9-48a8-4850-aab7-4b06450c5621 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.727125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e43fa50a-018f-480d-8834-dbe440d21b9e · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.722756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86c1362c-930a-4860-9bd6-a54be08220cf · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence46(12), 10579–10596 (2024) 2, 4.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device IEEE Transactions on Pattern Analysis and Machine Intelligence46(12), 10579–10596 (2024) 2, 4

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.726392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1948e16b-f134-47f4-bde0-fe86a025e3bb · outbound

This paper cites DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.353702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d2a218b-a4d9-46e3-b499-2fad31d7a6f9 · outbound

This paper cites Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.350182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 211ca40a-387c-4f0b-b860-c4f9868abacd · outbound

This paper cites org / 10.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device org / 10

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.728095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f179321-8eed-42ae-9ca1-a75b93203d65 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025) 4.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025) 4

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.730030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b8d33034-22d1-4d4b-9fae-05946c023ad5 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition (CVPR) (2024) 2, 4, 10, 11.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition (CVPR) (2024) 2, 4, 10, 11

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.731764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07c8c97f-068a-4d50-aa8e-cf0a4581e263 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.710515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d4520e8-2d15-4487-8aa8-276963c3827f · outbound

This paper cites IJCV (2020) 10.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device IJCV (2020) 10

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.712203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8ceef67-122a-4aa5-b5d3-0c2ced1c12e5 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.719394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4b7a75d-86ae-478f-9020-23a643e5ce6a · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.723527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b404dcaf-40d0-4502-91a2-c442499984cb · outbound

This paper cites In: European confer- ence on computer vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: European confer- ence on computer vision

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.725322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb9acae2-1d76-4586-a4e1-b2f00ac55667 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.709509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0862fd3-b006-44e9-98d7-d58eacbcc8f1 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2025) 4 ZipDepth 19.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2025) 4 ZipDepth 19

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.703914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5b8cd8d-5a6d-46ab-b45f-7e89d13d2401 · outbound

This paper cites In: Proceedings of the IEEE international conference on computer vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE international conference on computer vision

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.707629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a656bab-a646-43fc-bb5a-aae2401cf5e5 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.706916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb34f452-a8cd-4a81-a9e9-fdf4cbe5917a · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device DINOv2: Learning Robust Visual Features without Supervision

Reference 49

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.325526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de791d75-6644-4a9b-bf51-cb770224b3a0 · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology32(3), 1524–1536 (2021) 5.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device IEEE Transactions on Circuits and Systems for Video Technology32(3), 1524–1536 (2021) 5

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.701975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f92d06c-0522-40e9-a808-11e01b94f64c · outbound

This paper cites In: 2019 Design, Automation & Test in Europe Conference & Exhibi- tion (DATE).

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: 2019 Design, Automation & Test in Europe Conference & Exhibi- tion (DATE)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.705750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4928b776-b719-408f-b6bd-803fc7bf3f09 · outbound

This paper cites UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.326719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2478800-3419-4286-851c-b364e22539ab · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.713029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 710c42fe-abf4-4297-aa5f-3003ea4962a6 · outbound

This paper cites In: 2018 IEEE/RSJ international conference on intelligent robots and systems (IROS).

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: 2018 IEEE/RSJ international conference on intelligent robots and systems (IROS)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.716710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72bdb56b-ec55-4d76-94d4-32707b79a56c · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems23(10), 17342–17353 (2022) 5.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device IEEE Transactions on Intelligent Transportation Systems23(10), 17342–17353 (2022) 5

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.694562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1a10071-0a8d-49f0-9938-76f1815a1634 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence44(9), 5314–5334 (2021) 4.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device IEEE Transactions on Pattern Analysis and Machine Intelligence44(9), 5314–5334 (2021) 4

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.698255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9271d91d-ce7a-49a0-82ae-d861e6ab1a81 · outbound

This paper cites In: 2018 International conference on 3d vision (3DV).

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: 2018 International conference on 3d vision (3DV)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.692726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7324584-978e-4d2b-a9d5-c997c942664b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.685563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1cd00534-46ed-4c05-931b-75f320324891 · outbound

This paper cites Tosi et al.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Tosi et al

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.687337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc32676b-3fd4-435e-9bcd-549d6a2c6072 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.689199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1363c59a-e6c6-4ff6-a085-49a9752a61d5 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence44(3), 1623–1637 (2020) 4, 9, 10, 11.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device IEEE transactions on pattern analysis and machine intelligence44(3), 1623–1637 (2020) 4, 9, 10, 11

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.701307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad41fd87-970b-4f17-99ce-afb34b0792c6 · outbound

This paper cites In: Proceedings of the IEEE/CVF confer- ence on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF confer- ence on computer vision and pattern recognition

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.680168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dfc3a193-17ce-42e6-bad3-ace1d294becd · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.674226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20b97cff-9432-4684-9ac8-954c5c1cda73 · outbound

This paper cites In: 2022 Inter- national Conference on Robotics and Automation (ICRA).

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: 2022 Inter- national Conference on Robotics and Automation (ICRA)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.672335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bef583ab-7845-4437-9db9-6fdc60ddd193 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.676121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dae7543b-ff0a-4ae8-b8db-2341cf28a8be · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (July 2017) 10.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (July 2017) 10

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.681892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17086dbb-487f-417f-b3fc-41d287c53ec3 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025) 4.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025) 4

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.673133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52a3fdb7-cbe2-4403-a74d-6d788bbba6e5 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.668708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99ef5896-da9d-4d02-9e47-75008102ff9d · outbound

This paper cites In: European conference on computer vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: European conference on computer vision

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.662599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e2e384c-43b7-46c4-886f-3dadbcbc23d9 · outbound

This paper cites an unresolved cited work.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Unresolved cited work

Reference 71

Resolution: parse uncertain; raw_fallback, observed 2026-07-10T02:06:42.660817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b03f2c7-8551-4b21-95bc-fa0c0c0b6d95 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer 25 Vision and Pattern Recognition, pp.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF Conference on Computer 25 Vision and Pattern Recognition, pp

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-10T01:46:41.328134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 28c2f6ac-a99e-483d-a507-7923ad12dffa · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF winter conference on applications of computer vision

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.664388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6c904154-aadb-4d30-be55-c1298af7992f · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.670637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4355169-779a-4c7e-8253-c3c6f0070c4e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.683704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11058953-2015-4d3d-a2e2-7fad782a724c · outbound

This paper cites In: European conference on computer vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: European conference on computer vision

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.690949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f7f974f-5ea8-42ec-80ed-29c3320d5a82 · outbound

This paper cites Conference on Computer Vision and Pattern Recognition2019-June, 9791–9801 (2019).https://doi.org/10.1109/ CVPR.2019.010034.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Conference on Computer Vision and Pattern Recognition2019-June, 9791–9801 (2019).https://doi.org/10.1109/ CVPR.2019.010034

Reference 77

Resolution: malformed identifier; arxiv_id, observed 2026-07-10T01:46:41.345050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a9b27e9-83b0-4e2e-a48f-46aacbd2e11f · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.655405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9acc89d9-faf2-4e0e-9e95-79dabb12dcbd · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.659067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e9e6712-deb9-46f1-bf25-183071749e11 · outbound

This paper cites In: European Conference on Computer Vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: European Conference on Computer Vision

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.653564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f861611-12ea-4e88-840a-875c3b66e695 · outbound

This paper cites DIODE: A Dense Indoor and Outdoor DEpth Dataset.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device DIODE: A Dense Indoor and Outdoor DEpth Dataset

Reference 81

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.333056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65c44e17-0a48-4145-b3af-10cf81ae5f16 · outbound

This paper cites an unresolved cited work.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-07-10T02:06:42.657136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b53da66-8428-4610-819d-a3f15b00b3a9 · outbound

This paper cites In: 2019 International Conference on 3D Vision (3DV).

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: 2019 International Conference on 3D Vision (3DV)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.661726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f31c20a1-5f9d-47b3-be0e-d3f5f1fd0608 · outbound

This paper cites MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 84

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.318309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c0e69245-9ec9-4e07-a79e-d0d9be2dd71f · outbound

This paper cites MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

Reference 85

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.334469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c90bafdf-4c0d-48ad-8fc4-721f6ec954fa · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.647477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1139c965-7ca1-4877-b3be-32128e36ab2e · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision workshops.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF international conference on computer vision workshops

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.649948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3b8ce60-e469-4690-96ad-9a4b37083bb7 · outbound

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

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device PoseNet: A convolutional network for real-time 6-dof camera relocalization

Reference 88

Resolution: malformed identifier; doi_truncated, observed 2026-07-10T01:46:40.843386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed8e429d-7b36-4b9d-ae21-33130fd9d00b · outbound

This paper cites In: Proc.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proc

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.651639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d6488319-a035-458c-b360-f2b80fd59605 · outbound

This paper cites In: 2019 International Conference on Robotics and Automation (ICRA).

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: 2019 International Conference on Robotics and Automation (ICRA)

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.675364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94d1adda-c10d-49b6-8ffd-c0cd9025b34a · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.699303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b570431-bba2-4797-9b30-de83f6afb648 · outbound

This paper cites In: Proceedings of the IEEE/CVF confer- ence on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF confer- ence on computer vision and pattern recognition

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.714975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 165ed0e8-df41-42f1-9821-514c88021796 · outbound

This paper cites Segmenting Transparent Objects in the Wild.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Segmenting Transparent Objects in the Wild

Reference 93

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.312803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4dc7038f-207c-4e87-9300-f55e1ad6b8fb · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.641804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 12ed2196-f9c1-4c6e-b3f3-bf283d65d70e · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.718471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34c1fce5-5f5d-4651-a27b-514f9f1b7eb2 · outbound

This paper cites Advances in Neural Information Processing Systems37, 21875– 21911 (2024) 2, 3, 4, 5, 9, 10, 11, 12, 14, 15.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device Advances in Neural Information Processing Systems37, 21875– 21911 (2024) 2, 3, 4, 5, 9, 10, 11, 12, 14, 15

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.638325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3cc72d42-eb52-481a-9a4d-8f5c0cf211d2 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.640082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1a78bc5-8672-4351-85ef-0f595a36fc1e · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.630863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de1e10d5-5898-4d70-96f4-209dab33dd3f · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.629153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34a4cf2e-00f9-4e15-8350-301c53f6862d · outbound

This paper cites A ConvNet for the 2020s.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device A ConvNet for the 2020s

Reference 100

Resolution: metadata mismatch; arxiv_id, observed 2026-07-10T01:46:40.841216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d729ae2-9487-48d3-915c-d10a69f92de0 · outbound

This paper cites In: European Conference on Computer Vision.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device In: European Conference on Computer Vision

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T02:06:42.632952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers