Scaling-up Perceptual Video Quality Assessment | Paper Citation Record

Observation a434a2f8-8bb8-4ab8-9102-691fbcece60a · outbound

This paper cites GPT-4 Technical Report.

Scaling-up Perceptual Video Quality Assessment GPT-4 Technical Report

Reference 1

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Observation aa36798d-d114-45ca-a5e7-3459979cd507 · outbound

This paper cites Qwen2.5-VL Technical Report.

Scaling-up Perceptual Video Quality Assessment Qwen2.5-VL Technical Report

Reference 2

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Observation 241d51f2-e50d-4480-9c94-bce2000e4676 · outbound

This paper cites Feature-based predic- tion of streaming video qoe: Distortions, stalling and mem- ory.SPIC, 68:218–228, 2018.

Scaling-up Perceptual Video Quality Assessment Feature-based predic- tion of streaming video qoe: Distortions, stalling and mem- ory.SPIC, 68:218–228, 2018

Reference 3

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Observation 4c86654d-7759-40ac-9805-39fc399092f4 · outbound

This paper cites Towards perceptually optimized adaptive video streaming-a realistic quality of experience database.IEEE TIP, 30:5182–5197,.

Scaling-up Perceptual Video Quality Assessment Towards perceptually optimized adaptive video streaming-a realistic quality of experience database.IEEE TIP, 30:5182–5197,

Reference 4

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Observation 0a2cbf73-7594-4c98-8c49-515ba3147910 · outbound

This paper cites Q-ground: Image quality grounding with large multi-modality models.

Scaling-up Perceptual Video Quality Assessment Q-ground: Image quality grounding with large multi-modality models

Reference 5

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Observation c43152b3-b457-4244-a2fa-acfecff7c37f · outbound

This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers.

Scaling-up Perceptual Video Quality Assessment Panda-70m: Captioning 70m videos with multiple cross-modality teachers

Reference 6

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This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Scaling-up Perceptual Video Quality Assessment Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 7

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Observation ee469bfb-abeb-4b69-8293-14ae74cdc2b1 · outbound

This paper cites Grounding-iqa: Multimodal lan- guage grounding model for image quality assessment.arXiv preprint arXiv:2411.17237, 2024.

Scaling-up Perceptual Video Quality Assessment Grounding-iqa: Multimodal lan- guage grounding model for image quality assessment.arXiv preprint arXiv:2411.17237, 2024

Reference 8

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Observation dae11c37-0ef1-4135-a0a1-209e762dc1e7 · outbound

This paper cites A quality-of-experience index for streaming video.IEEE JSTSP, 11(1):154–166, 2016.

Scaling-up Perceptual Video Quality Assessment A quality-of-experience index for streaming video.IEEE JSTSP, 11(1):154–166, 2016

Reference 9

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Observation 59459aec-b0f1-47ac-ac8a-b918562b4be3 · outbound

This paper cites A quality-of-experience database for adaptive video streaming.

Scaling-up Perceptual Video Quality Assessment A quality-of-experience database for adaptive video streaming

Reference 10

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Observation 8617efd5-4108-4db2-96d4-1983ea32187d · outbound

This paper cites A bayesian quality-of-experience model for adaptive streaming videos.

Scaling-up Perceptual Video Quality Assessment A bayesian quality-of-experience model for adaptive streaming videos

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:24.563242Z

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Observation a85fda56-21eb-467e-ad23-7cd1ad3cc4ea · outbound

This paper cites Slowfast networks for video recognition.

Scaling-up Perceptual Video Quality Assessment Slowfast networks for video recognition

Reference 12

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Observation fbc33809-e2c6-4a1d-b940-198ddd016c8b · outbound

This paper cites LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models.

Scaling-up Perceptual Video Quality Assessment LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models

Reference 13

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Observation d7d60e0b-1c32-4dac-977d-82445761afd2 · outbound

This paper cites In- capture mobile video distortions: A study of subjective be- havior and objective algorithms.IEEE TCSVT, 28(9):2061– 2077, 2017.

Scaling-up Perceptual Video Quality Assessment In- capture mobile video distortions: A study of subjective be- havior and objective algorithms.IEEE TCSVT, 28(9):2061– 2077, 2017

Reference 14

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Observation ef76438c-d8a2-4d69-ac0f-773cd2094cb7 · outbound

This paper cites The konstanz natural video database (konvid-1k).

Scaling-up Perceptual Video Quality Assessment The konstanz natural video database (konvid-1k)

Reference 15

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Observation 15da3550-2825-4b9a-8d97-3a4cc364f6d6 · outbound

This paper cites Aesexpert: Towards multi-modality foun- dation model for image aesthetics perception.

Scaling-up Perceptual Video Quality Assessment Aesexpert: Towards multi-modality foun- dation model for image aesthetics perception

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:23.683256Z

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Observation 3bd33410-3cb3-413d-8619-846df12cfd6e · outbound

This paper cites VQA$^2$: Visual Question Answering for Video Quality Assessment.

Scaling-up Perceptual Video Quality Assessment VQA$^2$: Visual Question Answering for Video Quality Assessment

Reference 17

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Observation c8114cdb-25c0-47e5-a745-3d238a0a2864 · outbound

This paper cites RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models.

Scaling-up Perceptual Video Quality Assessment RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models

Reference 18

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Observation f482970c-5387-4413-bc83-e46edc4aec8a · outbound

This paper cites Two-level approach for no-reference con- sumer video quality assessment.IEEE TIP, 28(12):5923– 5938, 2019.

Scaling-up Perceptual Video Quality Assessment Two-level approach for no-reference con- sumer video quality assessment.IEEE TIP, 28(12):5923– 5938, 2019

Reference 19

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Observation e0e03812-5cfa-4188-8674-e9838765ec33 · outbound

This paper cites Blindly assess quality of in-the-wild videos via quality-aware pre-training and motion perception.IEEE TCSVT, 32(9):5944–5958, 2022.

Scaling-up Perceptual Video Quality Assessment Blindly assess quality of in-the-wild videos via quality-aware pre-training and motion perception.IEEE TCSVT, 32(9):5944–5958, 2022

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:23.283199Z

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Observation eb44516c-3451-4cb1-9b3e-efef66886d1e · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Scaling-up Perceptual Video Quality Assessment LLaVA-OneVision: Easy Visual Task Transfer

Reference 21

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Observation 884f566e-13ed-4178-bc0d-6e5ba85bcc75 · outbound

This paper cites Quality as- sessment of in-the-wild videos.

Scaling-up Perceptual Video Quality Assessment Quality as- sessment of in-the-wild videos

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:23.161801Z

Source-reported events for the cited work

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Observation bee4ac70-d431-4043-829c-d543a9660cd4 · outbound

This paper cites A comparative study of state-of-the-art video encoders on 4k videos.Image Anal- ysis and Recognition.

Scaling-up Perceptual Video Quality Assessment A comparative study of state-of-the-art video encoders on 4k videos.Image Anal- ysis and Recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:22.964834Z

Source-reported events for the cited work

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Observation d34a7c4d-dfec-4c80-ae10-a05d6b421b89 · outbound

This paper cites Statistical rejec- tion sampling improves preference optimization.

Scaling-up Perceptual Video Quality Assessment Statistical rejec- tion sampling improves preference optimization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:22.736661Z

Source-reported events for the cited work

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Observation 93cd2f75-cfe9-49a4-891f-c76490d85f00 · outbound

This paper cites End- to-end blind quality assessment of compressed videos using deep neural networks.

Scaling-up Perceptual Video Quality Assessment End- to-end blind quality assessment of compressed videos using deep neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:22.556575Z

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Observation 88c1b7e0-f58c-4e72-9776-6ae61bf732dc · outbound

This paper cites Perceptual video quality assessment: A sur- vey.SCIS, 67(11):211301, 2024.

Scaling-up Perceptual Video Quality Assessment Perceptual video quality assessment: A sur- vey.SCIS, 67(11):211301, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:22.328604Z

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Observation fbeae403-06c8-479b-91d0-9852861d3adc · outbound

This paper cites No-reference image quality assessment in the spa- tial domain.IEEE TIP, 21(12):4695–4708, 2012.

Scaling-up Perceptual Video Quality Assessment No-reference image quality assessment in the spa- tial domain.IEEE TIP, 21(12):4695–4708, 2012

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:22.079353Z

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Observation d5cc45ed-fe44-45f7-bec5-e90707fe4ae3 · outbound

This paper cites completely blind.

Scaling-up Perceptual Video Quality Assessment completely blind

Reference 28

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Observation 04c013f3-bab5-40b6-b416-14aa40d9aa75 · outbound

This paper cites Cvd2014—a database for evaluating no-reference video quality assess- ment algorithms.IEEE TIP, 25(7):3073–3086, 2016.

Scaling-up Perceptual Video Quality Assessment Cvd2014—a database for evaluating no-reference video quality assess- ment algorithms.IEEE TIP, 25(7):3073–3086, 2016

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:21.635775Z

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Observation 8171b82a-55c2-4e67-b89b-0f81e919598d · outbound

This paper cites Improving language understanding by gen- erative pre-training.

Scaling-up Perceptual Video Quality Assessment Improving language understanding by gen- erative pre-training

Reference 30

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Observation 137168ff-738b-46cd-8ea3-3eb0934245b1 · outbound

This paper cites Large-scale study of perceptual video quality.IEEE TIP, 28(2):612–627, 2018.

Scaling-up Perceptual Video Quality Assessment Large-scale study of perceptual video quality.IEEE TIP, 28(2):612–627, 2018

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:21.510037Z

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Observation 78270265-f640-4541-aa93-d2d9ec6f3802 · outbound

This paper cites A deep learning based no-reference quality assessment model for ugc videos.

Scaling-up Perceptual Video Quality Assessment A deep learning based no-reference quality assessment model for ugc videos

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:21.282648Z

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Observation f5bea529-abfd-43b5-9997-6c82954376bf · outbound

This paper cites Analysis of video quality datasets via design of minimalistic video quality models.IEEE TPAMI,.

Scaling-up Perceptual Video Quality Assessment Analysis of video quality datasets via design of minimalistic video quality models.IEEE TPAMI,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:21.086981Z

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Observation 849bd4bf-6961-4f2d-b5e9-0925dbcd6e7a · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Scaling-up Perceptual Video Quality Assessment Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:08.505064Z

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Observation 2acc620a-b865-4b60-8011-ecef0ef419b7 · outbound

This paper cites Ugc-vqa: Benchmarking blind video quality assessment for user generated content.IEEE TIP, 30:4449–4464, 2021.

Scaling-up Perceptual Video Quality Assessment Ugc-vqa: Benchmarking blind video quality assessment for user generated content.IEEE TIP, 30:4449–4464, 2021

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:20.851908Z

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Observation ef55a3aa-ee32-415a-9ea6-0348333b854a · outbound

This paper cites Rapique: Rapid and accurate video quality prediction of user generated content.

Scaling-up Perceptual Video Quality Assessment Rapique: Rapid and accurate video quality prediction of user generated content

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:20.654738Z

Source-reported events for the cited work

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Observation 364e9f44-0888-4a08-9c02-4ae46cdc3306 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Scaling-up Perceptual Video Quality Assessment Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:08.689461Z

Source-reported events for the cited work

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Observation 8aa0adcb-59fa-41cb-a957-15cfc9ae0c38 · outbound

This paper cites Youtube ugc dataset for video compression research.

Scaling-up Perceptual Video Quality Assessment Youtube ugc dataset for video compression research

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:20.443052Z

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Observation 68d0007f-ad74-465f-89c6-67ba0175c26d · outbound

This paper cites Rich features for perceptual quality assessment of ugc videos.

Scaling-up Perceptual Video Quality Assessment Rich features for perceptual quality assessment of ugc videos

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:20.164286Z

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Observation 4897e9d5-5cac-430a-a90a-bafbbb5158fc · outbound

This paper cites LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods.

Scaling-up Perceptual Video Quality Assessment LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods

Reference 40

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Observation 0c2cd162-4355-411f-81d5-0c9fd386ebba · outbound

This paper cites Modular blind video quality assess- ment.

Scaling-up Perceptual Video Quality Assessment Modular blind video quality assess- ment

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:19.815850Z

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Observation 6edc3bda-c9e6-441d-ace3-78de02a15e6b · outbound

This paper cites Neigh- bourhood representative sampling for efficient end-to-end video quality assessment.IEEE TPAMI, 45(12):15185– 15202, 2023.

Scaling-up Perceptual Video Quality Assessment Neigh- bourhood representative sampling for efficient end-to-end video quality assessment.IEEE TPAMI, 45(12):15185– 15202, 2023

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:19.571192Z

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Observation 62a70cc3-a876-415c-b815-411305e9c38f · outbound

This paper cites Discovqa: Temporal distortion-content transformers for video quality assessment.

Scaling-up Perceptual Video Quality Assessment Discovqa: Temporal distortion-content transformers for video quality assessment

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:19.297056Z

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Observation 6176826a-cccb-42f9-9fc6-cb1f0a79674c · outbound

This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives.

Scaling-up Perceptual Video Quality Assessment Exploring video quality assessment on user generated contents from aesthetic and technical perspectives

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:19.048047Z

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Observation d66093e3-2bc7-4dad-ab5a-0d08a67c5b8f · outbound

This paper cites Towards explainable in-the-wild video quality assess- ment: A database and a language-prompted approach.

Scaling-up Perceptual Video Quality Assessment Towards explainable in-the-wild video quality assess- ment: A database and a language-prompted approach

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:18.856838Z

Source-reported events for the cited work

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Observation 7ca8022a-2b7a-4513-acef-c2a97556a006 · outbound

This paper cites Q-instruct: Improving low-level visual abilities for multi-modality foundation models.

Scaling-up Perceptual Video Quality Assessment Q-instruct: Improving low-level visual abilities for multi-modality foundation models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:18.592292Z

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Observation 6efe29e9-b279-4a80-b1ec-91e20d1a0946 · outbound

This paper cites Q-align: teaching lmms for visual scoring via discrete text-defined levels.

Scaling-up Perceptual Video Quality Assessment Q-align: teaching lmms for visual scoring via discrete text-defined levels

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:18.199724Z

Source-reported events for the cited work

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Observation a24f80da-6431-4743-a1c2-620db99a6e1c · outbound

This paper cites Towards open-ended vi- sual quality comparison.

Scaling-up Perceptual Video Quality Assessment Towards open-ended vi- sual quality comparison

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:18.061954Z

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Observation b12a3815-437d-482f-b073-d589355fe8f1 · outbound

This paper cites Qwen2.5 Technical Report.

Scaling-up Perceptual Video Quality Assessment Qwen2.5 Technical Report

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:10.287718Z

Source-reported events for the cited work

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Observation 620aabbf-b120-4afa-b7ee-26c1dd0e8496 · outbound

This paper cites mplug- owl3: Towards long image-sequence understanding in multi- modal large language models.

Scaling-up Perceptual Video Quality Assessment mplug- owl3: Towards long image-sequence understanding in multi- modal large language models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:17.856565Z

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Observation b86f0bea-42e4-4c6d-91cd-9dd335c46815 · outbound

This paper cites Patch-vq:’patching up’the video quality problem.

Scaling-up Perceptual Video Quality Assessment Patch-vq:’patching up’the video quality problem

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:17.687327Z

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Observation 7702659e-3c77-4b1e-9b24-830d3aa5fe1e · outbound

This paper cites Descriptive image quality assessment in the wild.arXiv preprint arXiv:2405.18842,.

Scaling-up Perceptual Video Quality Assessment Descriptive image quality assessment in the wild.arXiv preprint arXiv:2405.18842,

Reference 52

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d9e11ea-c1e4-4bbd-9751-beaf3d54221c · outbound

This paper cites Depicting beyond scores: Advanc- ing image quality assessment through multi-modal language models.

Scaling-up Perceptual Video Quality Assessment Depicting beyond scores: Advanc- ing image quality assessment through multi-modal language models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:17.549012Z

Source-reported events for the cited work

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

Observation f6d0adc8-83e3-4a82-a1ee-e7616d203a77 · outbound

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

Scaling-up Perceptual Video Quality Assessment Sigmoid loss for language image pre-training

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:17.438802Z

Source-reported events for the cited work

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

Observation 13b8fead-e735-4573-ba26-03a373e513f3 · outbound

This paper cites When scaling meets llm finetuning: The effect of data, model and finetuning method.

Scaling-up Perceptual Video Quality Assessment When scaling meets llm finetuning: The effect of data, model and finetuning method

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:17.305942Z

Source-reported events for the cited work

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

Observation a9bc4803-341f-4271-be40-952267f9f602 · outbound

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

Scaling-up Perceptual Video Quality Assessment Video instruction tuning with synthetic data.CoRR, 2024

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:17.179673Z

Source-reported events for the cited work

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

Observation 5dfc1dbb-3d63-4c1e-a64d-0473f973d242 · outbound

This paper cites Q-bench-video: Benchmarking the video quality understanding of lmms.CVPR, 2025.

Scaling-up Perceptual Video Quality Assessment Q-bench-video: Benchmarking the video quality understanding of lmms.CVPR, 2025

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:16.999625Z

Source-reported events for the cited work

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

Observation a0cf7fd6-42e1-4334-bd7e-e94814e3039e · outbound

This paper cites Lima: Less is more for alignment.NIPS, 36:55006– 55021, 2023.

Scaling-up Perceptual Video Quality Assessment Lima: Less is more for alignment.NIPS, 36:55006– 55021, 2023

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:16.858444Z

Source-reported events for the cited work

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

Observation 94acf722-a960-4cd8-9131-de7112baa1c2 · outbound

This paper cites UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark.

Scaling-up Perceptual Video Quality Assessment UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:11.385127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa9f807c-47f5-4ef2-abfc-e7004affbf08 · outbound

This paper cites For instance, if the bounding box contains a part of a human body while the surrounding area shows a background wall, this would be valuable for annotation.

Scaling-up Perceptual Video Quality Assessment For instance, if the bounding box contains a part of a human body while the surrounding area shows a background wall, this would be valuable for annotation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:16.628907Z

Source-reported events for the cited work

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

Observation bd857a29-9c90-45f9-a2fc-fe92e6539c5b · outbound

This paper cites Additionally, the object should occupy a relatively large proportion of the bounding box.

Scaling-up Perceptual Video Quality Assessment Additionally, the object should occupy a relatively large proportion of the bounding box

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:16.499414Z

Source-reported events for the cited work

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

Observation 75556826-aa98-4527-8264-d363e5785d23 · outbound

This paper cites the left half of the face.

Scaling-up Perceptual Video Quality Assessment the left half of the face

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:16.345284Z

Source-reported events for the cited work

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

Observation 57493f21-cb75-4312-9bb0-bfe9e6b2e60e · outbound

This paper cites an unresolved cited work.

Scaling-up Perceptual Video Quality Assessment Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:12:16.200374Z

Source-reported events for the cited work

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

Observation 2b1341c7-f9f7-442f-866c-1e55db945cdf · outbound

This paper cites If only a general description of the location is provided (such as center, top left, bottom right, etc.), answer with a location description.

Scaling-up Perceptual Video Quality Assessment If only a general description of the location is provided (such as center, top left, bottom right, etc.), answer with a location description

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:16.068091Z

Source-reported events for the cited work

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

Observation 1ebf0056-f824-4450-b5be-aa9baf06b98b · outbound

This paper cites The answer should only use the information in the descriptions without adding any additional message.

Scaling-up Perceptual Video Quality Assessment The answer should only use the information in the descriptions without adding any additional message

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:15.932681Z

Source-reported events for the cited work

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

Observation 97601b85-0b45-4d07-adbe-6a44255bd921 · outbound

This paper cites Question Answer.

Scaling-up Perceptual Video Quality Assessment Question Answer

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:15.473431Z

Source-reported events for the cited work

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

Observation 0afa7d3d-f76f-4189-b5f3-c8471df2a9e0 · outbound

This paper cites Please aim to be concise, yet accurate and professional in your description.

Scaling-up Perceptual Video Quality Assessment Please aim to be concise, yet accurate and professional in your description

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:15.369315Z

Source-reported events for the cited work

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

Observation 04e21d9c-43c5-456f-90d2-9647a5c3ec23 · outbound

This paper cites Spatial: Provide a brief analysis of the compositional beauty and rationality, clarity of the main subject, and the comfort and accuracy of the main content.

Scaling-up Perceptual Video Quality Assessment Spatial: Provide a brief analysis of the compositional beauty and rationality, clarity of the main subject, and the comfort and accuracy of the main content

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:15.241130Z

Source-reported events for the cited work

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

Observation a50a85f9-71a8-478c-ba04-c22bcc646756 · outbound

This paper cites "" Step 2: Instruction Generation System Prompt:.

Scaling-up Perceptual Video Quality Assessment "" Step 2: Instruction Generation System Prompt:

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:15.084204Z

Source-reported events for the cited work

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

Observation 1821a587-abd3-4c5f-8b1a-aadc8a3f38c5 · outbound

This paper cites an unresolved cited work.

Scaling-up Perceptual Video Quality Assessment Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:12:14.901300Z

Source-reported events for the cited work

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

Observation 1a3d302c-821d-41f5-9c42-6f9842e7d8b1 · outbound

This paper cites an unresolved cited work.

Scaling-up Perceptual Video Quality Assessment Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:12:14.723045Z

Source-reported events for the cited work

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

Observation 6f4bc49b-2fb5-4308-ad79-6b43770b22b7 · outbound

This paper cites The question formats should be as follows:.

Scaling-up Perceptual Video Quality Assessment The question formats should be as follows:

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:14.565505Z

Source-reported events for the cited work

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

Observation 69f1f3d5-6485-4212-a441-5f20390ddb7c · outbound

This paper cites Question + A. Option one, B. Option two Answer: correct choice + answer.

Scaling-up Perceptual Video Quality Assessment Question + A. Option one, B. Option two Answer: correct choice + answer

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:15.732199Z

Source-reported events for the cited work

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

Observation 278b227f-c89e-4509-a009-e6088a675482 · outbound

This paper cites Question + A. Option one, B. Option two, C. Option three, D. Option four Answer: correct choice + answer.

Scaling-up Perceptual Video Quality Assessment Question + A. Option one, B. Option two, C. Option three, D. Option four Answer: correct choice + answer

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:15.594870Z

Source-reported events for the cited work

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

Observation af690e4f-bf77-440c-973b-99cc32c549a3 · outbound

This paper cites Question Answer.

Scaling-up Perceptual Video Quality Assessment Question Answer

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:14.432644Z

Source-reported events for the cited work

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

Observation 5141df2b-20cd-4a6d-a693-712d991da8b2 · outbound

This paper cites , "prefix.

Scaling-up Perceptual Video Quality Assessment , "prefix

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:14.302158Z

Source-reported events for the cited work

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

Observation f87ae99d-2c02-4a4c-b1d8-8eaf7ad09b40 · outbound

This paper cites Spatial: The composition is straightforward, offering a clear, wide-angle perspective of the fields.

Scaling-up Perceptual Video Quality Assessment **Spatial:** The composition is straightforward, offering a clear, wide-angle perspective of the fields

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:14.192122Z

Source-reported events for the cited work

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

Observation 2c107c04-bfd6-40e2-bd5d-14f77d54586b · outbound

This paper cites , "prefix.

Scaling-up Perceptual Video Quality Assessment , "prefix

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:14.080701Z

Source-reported events for the cited work

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

Observation 18255723-6329-4abb-ab8b-c566b10eae96 · outbound

This paper cites In addition, you will receive a motion feature sequence that corresponds to the number of frames in the video, num of frames.

Scaling-up Perceptual Video Quality Assessment In addition, you will receive a motion feature sequence that corresponds to the number of frames in the video, num of frames

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:16.752300Z

Source-reported events for the cited work

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

Coverage vector

Reference resolution

Outbound references

Pith citing papers