SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing | Paper Citation Record

Observation 7c911503-5255-4be9-9c32-4a06b43b0c4a · outbound

This paper cites One token to seg them all: Language instructed reasoning seg- mentation in videos.Advances in Neural Information Processing Systems, 37:6833–6859, 2024.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing One token to seg them all: Language instructed reasoning seg- mentation in videos.Advances in Neural Information Processing Systems, 37:6833–6859, 2024

Reference 1

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Observation e726ec18-5a18-4e01-a66d-acf19c22c573 · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

Reference 2

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Observation bc7c76ca-1343-4e91-9975-31bbadbdd027 · outbound

This paper cites End-to-end referring video object segmentation with multimodal transformers.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing End-to-end referring video object segmentation with multimodal transformers

Reference 3

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Observation ebeeb569-da85-4acb-8d79-5b96c294852e · outbound

This paper cites Streamingtom: Streaming token compres- sion for efficient video understanding.arXiv preprint arXiv:2510.18269, 2025.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Streamingtom: Streaming token compres- sion for efficient video understanding.arXiv preprint arXiv:2510.18269, 2025

Reference 4

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Observation aac304ac-f50d-4d06-89f3-224d7201ef3f · outbound

This paper cites Mevis: A large-scale benchmark for video segmentation with motion expressions.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Mevis: A large-scale benchmark for video segmentation with motion expressions

Reference 5

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Observation f0495812-3451-4c19-85ed-ad679685c4c3 · outbound

This paper cites The unmanned aerial vehicle benchmark: Object detection and tracking.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing The unmanned aerial vehicle benchmark: Object detection and tracking

Reference 6

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Observation f6ace37c-9484-43c0-8418-585971a9f62c · outbound

This paper cites Framefusion: Combining similarity and importance for video token reduction on large vision language models.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Framefusion: Combining similarity and importance for video token reduction on large vision language models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:01.082341Z

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Observation e7486384-4444-47a1-b64c-6ab04edcd40b · outbound

This paper cites Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:01.204751Z

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Observation 954877f9-8f77-44ff-bdd2-48c34a27fa1d · outbound

This paper cites The devil is in temporal token: High quality video reasoning segmentation.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing The devil is in temporal token: High quality video reasoning segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:01.296336Z

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Observation c2dae05a-a68c-4d7b-9543-b872f27f70de · outbound

This paper cites Rsgpt: A remote sensing vision language model and benchmark.ISPRS Journal of Photogrammetry and Remote Sensing, 224:272–286, 2025.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Rsgpt: A remote sensing vision language model and benchmark.ISPRS Journal of Photogrammetry and Remote Sensing, 224:272–286, 2025

Reference 10

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Observation 69ff8e28-3474-4e55-8196-1d2bf37d04b2 · outbound

This paper cites Prunevid: Visual token pruning for efficient video large language models.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Prunevid: Visual token pruning for efficient video large language models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:01.457054Z

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Observation dfecb740-b81a-49cf-a800-cfeac3bca07f · outbound

This paper cites Multi-granular spatio-temporal token merging for training-free acceleration of video llms.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Multi-granular spatio-temporal token merging for training-free acceleration of video llms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:01.521166Z

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Observation c57608d3-d131-4995-8b1c-eff11246edac · outbound

This paper cites TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:01.580630Z

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Observation a485416f-d454-4b76-9ef5-7fc4ede0b8cf · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Lisa: Reasoning segmentation via large language model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:01.696273Z

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Observation 83cd5b5c-dd0b-47d7-a5e5-ee9ef889736f · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 15

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Observation 6731052e-dbfa-41ad-814f-7b040ed21374 · outbound

This paper cites Referdino: Referring video object segmentation with visual grounding foundations.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Referdino: Referring video object segmentation with visual grounding foundations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:01.849069Z

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Observation 4f45cead-57fa-4193-934d-3aad75ef807a · outbound

This paper cites Video-llava: Learning united visual representation by alignment before projection.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Video-llava: Learning united visual representation by alignment before projection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:01.971650Z

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Observation 27c684a3-7358-48c6-886a-e007211e6294 · outbound

This paper cites Glus: Global-local reasoning unified into a single large language model for video segmentation.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Glus: Global-local reasoning unified into a single large language model for video segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:02.034375Z

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Observation 1e1e3f91-2614-4465-aaeb-bde5dc3df7a4 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:02.108301Z

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Observation bf66e690-c950-4d14-b84c-12030a074936 · outbound

This paper cites RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts

Reference 20

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Observation 7da24c0e-c78c-49c0-915a-672bacdb4bf6 · outbound

This paper cites SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:02.304478Z

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Observation 0ebe0656-7020-49d2-88e4-e00b58c04323 · outbound

This paper cites Video-chatgpt: Towards detailed video understanding via large vision and language models.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Video-chatgpt: Towards detailed video understanding via large vision and language models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:02.369009Z

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Observation b7b0d143-8b00-4c13-8bfd-e131ad13230a · outbound

This paper cites Videoglamm: A large multimodal model for pixel-level visual grounding in videos.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Videoglamm: A large multimodal model for pixel-level visual grounding in videos

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:02.428042Z

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Observation 113d5682-d67d-40cb-b88c-a2e3a48dad5a · outbound

This paper cites Geopix: A multimodal large language model for pixel-level image understanding in remote sensing.IEEE Geoscience and Remote Sensing Magazine, 2025.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Geopix: A multimodal large language model for pixel-level image understanding in remote sensing.IEEE Geoscience and Remote Sensing Magazine, 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:02.501383Z

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Observation 65940e87-c7ca-4c12-b52c-4d4054028358 · outbound

This paper cites Vhm: Versatile and honest vision language model for remote sensing image analysis.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Vhm: Versatile and honest vision language model for remote sensing image analysis

Reference 25

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Observation 9ddf7593-9019-48ce-b84c-fa5f2f6664a9 · outbound

This paper cites Llava++: extending visual capabilities with llama-3 and phi-3 (2024).URL https://github.com/mbzuai-oryx/LLaVA- pp, 2024.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Llava++: extending visual capabilities with llama-3 and phi-3 (2024).URL https://github.com/mbzuai-oryx/LLaVA- pp, 2024

Reference 26

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Observation 086ae9bd-1812-4e22-acf0-874e4e16621b · outbound

This paper cites Glamm: Pixel grounding large multimodal model.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Glamm: Pixel grounding large multimodal model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:02.644608Z

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Observation fb476229-664f-4803-89e2-2fd277f44817 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing SAM 2: Segment Anything in Images and Videos

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:02.721970Z

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Observation eec54fbe-cb03-45c0-b031-d8fcb329e4d4 · outbound

This paper cites Pixellm: Pixel reasoning with large multimodal model.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Pixellm: Pixel reasoning with large multimodal model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:02.803839Z

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Observation 867c4e28-917a-4a41-93be-31ea3459c95a · outbound

This paper cites Moviechat: From dense token to sparse memory for long video understanding.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Moviechat: From dense token to sparse memory for long video understanding

Reference 30

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Observation d83d7eb4-6c63-4448-94a0-952dadbdb274 · outbound

This paper cites Earthdial: Turning multi-sensory earth observations to interactive dialogues.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Earthdial: Turning multi-sensory earth observations to interactive dialogues

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:02.915593Z

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Observation 52daab6d-b37e-48b3-9d2e-d8222f199e69 · outbound

This paper cites Drone-based rgb-infrared cross-modality vehicle detection via uncertainty-aware learning.IEEE Transactions on Circuits and Systems for Video Technology, 32(10):6700–6713, 2022.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Drone-based rgb-infrared cross-modality vehicle detection via uncertainty-aware learning.IEEE Transactions on Circuits and Systems for Video Technology, 32(10):6700–6713, 2022

Reference 32

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Observation 17863fb7-2119-4768-8b96-53666e87d913 · outbound

This paper cites Adaptive keyframe sampling for long video understanding.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Adaptive keyframe sampling for long video understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.030943Z

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Observation 4e899a43-c9ad-4aeb-9ac4-0626688eb142 · outbound

This paper cites Cider: Consensus-based image description evaluation.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Cider: Consensus-based image description evaluation

Reference 34

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Observation a24a7245-aef3-4bb0-aa6b-10394c3e1801 · outbound

This paper cites Geollava-8k: scaling remote-sensing multimodal large language models to 8k resolution.arXiv preprint arXiv:2505.21375, 2025.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Geollava-8k: scaling remote-sensing multimodal large language models to 8k resolution.arXiv preprint arXiv:2505.21375, 2025

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.124523Z

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Observation 2dd4ab56-621a-491c-bbf2-07dda40d7475 · outbound

This paper cites Instructseg: Unifying instructed visual segmentation with multi-modal large language models.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Instructseg: Unifying instructed visual segmentation with multi-modal large language models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.221579Z

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Observation aa94ce04-88b5-493b-9d0e-b29f1600024d · outbound

This paper cites Longvlm: Efficient long video understanding via large language models.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Longvlm: Efficient long video understanding via large language models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.350493Z

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Observation 1a711df3-dda3-4d74-9bfd-c7b3a4daab95 · outbound

This paper cites Language as queries for referring video object segmentation.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Language as queries for referring video object segmentation

Reference 38

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Observation 9ce06e3c-e938-4b4b-ab75-acf4c575595c · outbound

This paper cites SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.486399Z

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Observation 32849a1b-d5f7-4a20-b197-fc29806e3be2 · outbound

This paper cites Visa: Reasoning video object segmentation via large language models.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Visa: Reasoning video object segmentation via large language models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.576528Z

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Observation 126070c8-ffb6-4120-bcfd-8e74f9716739 · outbound

This paper cites Referred by multi-modality: A unified temporal transformer for video object segmentation.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Referred by multi-modality: A unified temporal transformer for video object segmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.579616Z

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Observation f4431f6f-4b71-442c-8f56-39b9b7774506 · outbound

This paper cites Self-chained image-language model for video localization and question answering.Advances in Neural Information Processing Systems, 36:76749–76771, 2023.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Self-chained image-language model for video localization and question answering.Advances in Neural Information Processing Systems, 36:76749–76771, 2023

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.612401Z

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Observation 4a2ee8db-e65b-4904-8f56-7f723e0d407d · outbound

This paper cites Frame-Voyager: Learning to Query Frames for Video Large Language Models.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Frame-Voyager: Learning to Query Frames for Video Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.661242Z

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Observation 4817844c-a271-4236-a712-ef3db908dedc · outbound

This paper cites Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.743258Z

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Observation bb233953-67a4-4e45-9c3c-ed97252e8ef0 · outbound

This paper cites Skyeyegpt: Unifying remote sensing vision- language tasks via instruction tuning with large language model.ISPRS Journal of Photogram- metry and Remote Sensing, 221:64–77, 2025.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Skyeyegpt: Unifying remote sensing vision- language tasks via instruction tuning with large language model.ISPRS Journal of Photogram- metry and Remote Sensing, 221:64–77, 2025

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.814064Z

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Observation bd172da8-7b7c-4156-9dcf-d6053158fda9 · outbound

This paper cites Video-llama: An instruction-tuned audio-visual language model for video understanding.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Video-llama: An instruction-tuned audio-visual language model for video understanding

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.885115Z

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Observation 0cd98b9a-d26e-4ea7-90ad-819a85d924ee · outbound

This paper cites GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:03.944636Z

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Observation a1b883f2-6312-4707-a5a4-da08e0549566 · outbound

This paper cites Tifre: Text-guided video frame reduction for efficient video multi-modal large language models.arXiv preprint arXiv:2602.08861, 2026.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Tifre: Text-guided video frame reduction for efficient video multi-modal large language models.arXiv preprint arXiv:2602.08861, 2026

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:04.007847Z

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Observation 9860a9dd-5836-408c-b37e-fe9a0a0d5ded · outbound

This paper cites Reason: Reinforced causal search with information bottleneck for video understanding.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Reason: Reinforced causal search with information bottleneck for video understanding

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:04.079355Z

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Observation 890e5b91-6ce5-49a7-9e45-11915eb46598 · outbound

This paper cites Detection and tracking meet drones challenge.IEEE transactions on pattern analysis and machine intelligence, 44(11):7380–7399, 2021.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Detection and tracking meet drones challenge.IEEE transactions on pattern analysis and machine intelligence, 44(11):7380–7399, 2021

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:04.130946Z

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Observation 42c5d8b8-44ec-4295-ac63-564a1914705d · outbound

This paper cites Focus: Efficient keyframe selection for long video understanding.arXiv preprint arXiv:2510.27280, 2025.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing Focus: Efficient keyframe selection for long video understanding.arXiv preprint arXiv:2510.27280, 2025

Reference 51

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