VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models | Paper Citation Record

Observation 703c74ad-0bdf-40fd-a576-612ff0538a68 · outbound

This paper cites Thinking with images, April 2025.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Thinking with images, April 2025

Reference 1

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Observation 3fa84e41-81e5-41b2-90b9-f9ebd3e2e573 · outbound

This paper cites Qwen2.5-VL Technical Report.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Qwen2.5-VL Technical Report

Reference 2

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Observation 5347d4a3-8a61-4f5b-8d5d-eacbc4be409d · outbound

This paper cites VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Reference 3

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Observation dd10a2b4-2dba-47cc-9d04-db6d0ee37960 · outbound

This paper cites xgen-mm (blip-3): A family of open large multimodal models, 2025.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models xgen-mm (blip-3): A family of open large multimodal models, 2025

Reference 4

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Observation 92163ffc-9d70-48ac-8fc1-a11a9b1faae7 · outbound

This paper cites Socratic models: Composing zero-shot multimodal rea- soning with language.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Socratic models: Composing zero-shot multimodal rea- soning with language

Reference 5

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Observation ed888a4f-484b-4e1e-af2c-f7f422d28372 · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? InEuropean Conference on Computer Vision, 2024.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Mmbench: Is your multi-modal model an all-around player? InEuropean Conference on Computer Vision, 2024

Reference 6

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Observation e27b91bd-f254-44cf-a1a9-9939fb1c3a6e · outbound

This paper cites LISA: Reasoning Segmentation via Large Language Model.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models LISA: Reasoning Segmentation via Large Language Model

Reference 7

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Observation ee02fc50-6892-439a-87d4-6324647577fd · outbound

This paper cites Ryoo, and Tsung- Yu Lin.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Ryoo, and Tsung- Yu Lin

Reference 8

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Observation 731e11fd-50a3-4db6-a776-4718e223b13b · outbound

This paper cites Qwen2.5 technical report, 2025.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Qwen2.5 technical report, 2025

Reference 9

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Observation b98e510d-70ab-4803-9b9d-1a529ffe0993 · outbound

This paper cites The llama 3 herd of models, 2024.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models The llama 3 herd of models, 2024

Reference 10

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Observation 0438d23b-29dc-4097-a7ed-9215bd13511c · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Learning transferable visual models from natural language supervision, 2021

Reference 11

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Observation 2d80083f-a11d-42f7-b433-4dca7311ed2f · outbound

This paper cites Sigmoid loss for language image pre-training.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Sigmoid loss for language image pre-training

Reference 12

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Observation eb838706-b226-4911-99cc-02e620c5c3bc · outbound

This paper cites Video instruction tuning with synthetic data, 2024.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Video instruction tuning with synthetic data, 2024

Reference 13

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Observation ed10b1be-5ae6-4fc7-853e-f3e962310adb · outbound

This paper cites Sharegpt4video: Improving video understanding and generation with better captions.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Sharegpt4video: Improving video understanding and generation with better captions

Reference 14

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Observation 9d0c5737-7e21-4090-a776-6cce7783a518 · outbound

This paper cites Videogpt+: Integrating image and video encoders for enhanced video understanding, 2024.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Videogpt+: Integrating image and video encoders for enhanced video understanding, 2024

Reference 15

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Observation 6d41108d-5aca-4786-80bb-73884693a5e2 · outbound

This paper cites Cinepile: A long video question answering dataset and benchmark, 2024.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Cinepile: A long video question answering dataset and benchmark, 2024

Reference 16

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Observation 7953156d-0ae6-4d7e-8ad7-e2a80f007008 · outbound

This paper cites Is space-time attention all you need for video understanding? InProceedings of the International Conference on Machine Learning (ICML), July 2021.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Is space-time attention all you need for video understanding? InProceedings of the International Conference on Machine Learning (ICML), July 2021

Reference 17

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Observation 8db839ba-1d39-44d9-8644-febbdf9291ff · outbound

This paper cites Vivit: A video vision transformer.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Vivit: A video vision transformer

Reference 18

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Observation bd8bd5ff-67ff-4883-95d7-b0b4a446bfc9 · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Llava-med: Training a large language-and-vision assistant for biomedicine in one day

Reference 19

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Observation 2345d0e5-69ca-4c56-9360-965e88d689ed · outbound

This paper cites Aim: Adapting image models for efficient video understanding.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Aim: Adapting image models for efficient video understanding

Reference 20

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Observation 2d01dee1-66ea-4f8b-a6ff-7c34bced0fd1 · outbound

This paper cites Overcoming the pitfalls of vision- language model finetuning for ood generalization.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Overcoming the pitfalls of vision- language model finetuning for ood generalization

Reference 21

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Observation 7cce8824-06e1-4cf5-96ef-194973dfc908 · outbound

This paper cites Vision- language model fine-tuning via simple parameter-efficient modification.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Vision- language model fine-tuning via simple parameter-efficient modification

Reference 22

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Observation 0e8ac2bd-34db-4e79-a892-f56c42d21e74 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 23

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Observation 1eb3cbb1-652e-4426-a733-35feb873af7f · outbound

This paper cites Video swin transformer.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 3192–3201, 2021.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Video swin transformer.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 3192–3201, 2021

Reference 24

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Observation 3cba4304-3b6a-4786-8306-ec03f06328aa · outbound

This paper cites an unresolved cited work.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Unresolved cited work

Reference 25

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Observation bf39505f-b5d5-462e-84ea-8653c103f11d · outbound

This paper cites Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikołaj Bi´nkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikołaj Bi´nkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan

Reference 26

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Observation e43e9f4f-e94f-4afe-88c8-bb00605e6cb2 · outbound

This paper cites Fusion of domain-adapted vision and language models for medical visual question answering.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Fusion of domain-adapted vision and language models for medical visual question answering

Reference 27

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Observation 2d6c48cc-da5e-40b1-b426-1d0db4bd8bf5 · outbound

This paper cites Ryoo, Honglu Zhou, Shrikant Kendre, Can Qin, Le Xue, Manli Shu, Jongwoo Park, Kanchana Ranasinghe, Silvio Savarese, Ran Xu, Caiming Xiong, and Juan Carlos Niebles.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Ryoo, Honglu Zhou, Shrikant Kendre, Can Qin, Le Xue, Manli Shu, Jongwoo Park, Kanchana Ranasinghe, Silvio Savarese, Ran Xu, Caiming Xiong, and Juan Carlos Niebles

Reference 28

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Observation 6ffeb72b-f20c-4262-bb38-97926e745109 · outbound

This paper cites Finetuned clip models are efficient video learners.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Finetuned clip models are efficient video learners

Reference 29

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Observation f7a88768-743a-46db-b621-68d364b46111 · outbound

This paper cites Conditional prompt learning for vision-language models.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Conditional prompt learning for vision-language models

Reference 30

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Observation cd45331a-3824-462b-b964-8453fe39cbfa · outbound

This paper cites Prompt-aligned gradient for prompt tuning.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Prompt-aligned gradient for prompt tuning

Reference 31

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Observation ba1b7fb0-a1c5-402e-9230-de2f5f689cf6 · outbound

This paper cites Visual-language prompt tuning with knowledge- guided context optimization.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Visual-language prompt tuning with knowledge- guided context optimization

Reference 32

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Observation 5d6a533d-0a5d-4f9f-bfa6-484eba016fea · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Clip-adapter: Better vision-language models with feature adapters

Reference 33

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Observation c254138b-8778-4437-ad37-f91c40ae2657 · outbound

This paper cites On domain-adaptive post-training for multimodal large language models.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models On domain-adaptive post-training for multimodal large language models

Reference 34

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Observation 72584479-cbe5-4b20-ac57-f90012f8e66a · outbound

This paper cites an unresolved cited work.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Unresolved cited work

Reference 35

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Observation 4d5f8f65-81cd-47d5-be42-1e57e3bab511 · outbound

This paper cites Llavidal: A large language-vision model for daily activities of living.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Llavidal: A large language-vision model for daily activities of living

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Observation eea5c746-c53e-4855-8090-c92daa703f02 · outbound

This paper cites Huatuogpt-vision, towards injecting medical visual knowledge into multimodal llms at scale, 2024.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Huatuogpt-vision, towards injecting medical visual knowledge into multimodal llms at scale, 2024

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T09:44:49.092729Z

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Observation cba64c5a-d775-44d0-9055-84d17570ff1d · outbound

This paper cites Visual instruction tuning.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Visual instruction tuning

Reference 38

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Observation 2356a3cb-984d-442c-a650-2133a2114045 · outbound

This paper cites Apollo: An exploration of video understanding in large multimodal models.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Apollo: An exploration of video understanding in large multimodal models

Reference 39

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Observation 8a76d039-9da7-4f66-9b87-337588268ab5 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models LoRA: Low-rank adaptation of large language models

Reference 40

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Observation 9b48874e-5625-435b-8025-d4447f24fde7 · outbound

This paper cites an unresolved cited work.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Unresolved cited work

Reference 41

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Observation 85c45f6a-4bd0-4d03-9e82-a930608e22fb · outbound

This paper cites From my view to yours: Ego-augmented learning in large vision language models for understanding exocentric daily living activities, 2025.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models From my view to yours: Ego-augmented learning in large vision language models for understanding exocentric daily living activities, 2025

Reference 42

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Observation 889de24a-01e2-47bb-8d9f-c647e51b9421 · outbound

This paper cites Depth anything v2.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Depth anything v2

Reference 43

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Observation a2e3786e-38c0-4edb-b7fa-325de65507eb · outbound

This paper cites Vima: General robot manipulation with multimodal prompts.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Vima: General robot manipulation with multimodal prompts

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Observation 4f4cd366-8ca7-48f2-a15d-76c755a24c24 · outbound

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VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Unresolved cited work

Reference 45

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Observation 520aedaa-1907-4e17-a493-5a2fa1ef0193 · outbound

This paper cites Egoschema: A diagnostic benchmark for very long-form video language understanding.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Egoschema: A diagnostic benchmark for very long-form video language understanding

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Observation 16bee8ce-67c4-466a-b3cd-22101435a773 · outbound

This paper cites an unresolved cited work.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Unresolved cited work

Reference 47

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Observation 2338c354-6ad5-456e-bb39-f6b3928ffbfd · outbound

This paper cites Next-qa: Next phase of question- answering to explaining temporal actions.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Next-qa: Next phase of question- answering to explaining temporal actions

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Observation 167acb43-5eb7-4d4b-b6eb-60226a32dd53 · outbound

This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal large language models in video analysis.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal large language models in video analysis

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Observation c5a9ad19-db59-474a-a511-7e57ad6b1db5 · outbound

This paper cites Toyota smarthome: Real-world activities of daily living.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Toyota smarthome: Real-world activities of daily living

Reference 50

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Observation d5da6090-b0a0-4783-92be-d4f377fa44bc · outbound

This paper cites Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta

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Observation 46374306-4d2d-4cea-a22a-3dc8184c17ad · outbound

This paper cites Lemma: A multi- view dataset for learning multi-agent multi-task activities.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Lemma: A multi- view dataset for learning multi-agent multi-task activities

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Observation 82eab911-937f-4ef1-ad36-ce4e4b3d5f3d · outbound

This paper cites Toyota smarthome untrimmed: Real-world untrimmed videos for activity detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Toyota smarthome untrimmed: Real-world untrimmed videos for activity detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

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Observation f9b593c0-f945-42dc-b6bd-5918f1372bcd · outbound

This paper cites Quantifying attention flow in transformers.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Quantifying attention flow in transformers

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Observation f4673158-ce69-4f31-92c7-f9e615754da7 · outbound

This paper cites Place the carrot on the plate.

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models Place the carrot on the plate

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