NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results | Paper Citation Record

Observation a4a96794-c29f-475c-bd60-752ec769732c · outbound

This paper cites Context-aware saliency detection for image retargeting us- ing convolutional neural networks.Multimedia Tools and Applications, 80(8):11917–11941.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Context-aware saliency detection for image retargeting us- ing convolutional neural networks.Multimedia Tools and Applications, 80(8):11917–11941

Reference 1

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Observation 8c641d04-0f0b-42a0-bcf7-3490a5e34ddd · outbound

This paper cites Bridging the gap between saliency prediction and image quality assessment.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Bridging the gap between saliency prediction and image quality assessment

Reference 2

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Observation 043ba0a8-a1c0-4295-938b-8b813fa6ccfd · outbound

This paper cites NT-HAZE: A Benchmark Dataset for Re- alistic Night-time Image Dehazing.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NT-HAZE: A Benchmark Dataset for Re- alistic Night-time Image Dehazing

Reference 3

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Observation 3cd8ce7a-ae1d-44bc-ac76-0ad9a79e1ed0 · outbound

This paper cites NTIRE 2026 Nighttime Image De- hazing Challenge Report.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 Nighttime Image De- hazing Challenge Report

Reference 4

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Observation bc09f644-da8c-42d7-86ed-5f21a588671c · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:33:51.269344Z

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Observation 3b72719c-0ecc-4455-84b5-58bd4c22d119 · outbound

This paper cites What do different evaluation metrics tell us about saliency models?IEEE transactions on pattern analysis and machine intelligence, 41(3):740–757.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results What do different evaluation metrics tell us about saliency models?IEEE transactions on pattern analysis and machine intelligence, 41(3):740–757

Reference 6

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Observation 40a7b5ab-7dd9-4012-a037-3041b688342a · outbound

This paper cites NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods

Reference 7

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Observation 24ccaeb7-ccb8-49c4-be65-924ce61b98f0 · outbound

This paper cites PredJSal: Video Saliency via Predictive Self-Supervised Representation.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results PredJSal: Video Saliency via Predictive Self-Supervised Representation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.220207Z

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Observation e7ed733e-bede-4a0b-8248-4684fe0123d0 · outbound

This paper cites Saliency-guided video coding via recurrent learning and perceptual qual- ity assessment.Signal Processing: Image Communication, page 117536.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Saliency-guided video coding via recurrent learning and perceptual qual- ity assessment.Signal Processing: Image Communication, page 117536

Reference 9

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Observation 0b3f147c-8f0a-4d0f-adb6-c28907d9fec4 · outbound

This paper cites an unresolved cited work.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-19T11:03:03.273307Z

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Observation 16ee72dd-aee6-4178-a7b6-b44ea21624aa · outbound

This paper cites Explainable saliency: Articulating reasoning with contextual prioritization.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Explainable saliency: Articulating reasoning with contextual prioritization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.246474Z

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Observation b23a7738-e9ba-4f0f-9054-43e545945f70 · outbound

This paper cites The Fourth Chal- lenge on Image Super-Resolution (×4) at NTIRE 2026: Benchmark Results and Method Overview.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results The Fourth Chal- lenge on Image Super-Resolution (×4) at NTIRE 2026: Benchmark Results and Method Overview

Reference 12

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Observation 15aee2aa-3ad9-411f-9847-f34c9f2d0988 · outbound

This paper cites Low Light Image Enhancement Challenge at NTIRE 2026.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Low Light Image Enhancement Challenge at NTIRE 2026

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.210792Z

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Observation 1eae2af7-8d9c-4ee6-b7f7-eb52d624fa04 · outbound

This paper cites High FPS Video Frame Inter- polation Challenge at NTIRE 2026.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results High FPS Video Frame Inter- polation Challenge at NTIRE 2026

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.254786Z

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Observation d178fa7c-9854-4ded-8322-68c1a612db3f · outbound

This paper cites Spherical vision transformers for audio-visual saliency prediction in 360 videos.IEEE transactions on pattern analysis and ma- chine intelligence.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Spherical vision transformers for audio-visual saliency prediction in 360 videos.IEEE transactions on pattern analysis and ma- chine intelligence

Reference 15

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Observation 5a1cb0ed-e170-46ba-a273-575fd85cbea5 · outbound

This paper cites ImageNet: A large-scale hierarchical im- age database.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results ImageNet: A large-scale hierarchical im- age database

Reference 16

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Observation 021d7bc1-9169-4c20-9787-36194855c5fb · outbound

This paper cites Towards 3d colored mesh saliency: Database and benchmarks.IEEE Transactions on Multimedia, 26:3580– 3591.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Towards 3d colored mesh saliency: Database and benchmarks.IEEE Transactions on Multimedia, 26:3580– 3591

Reference 17

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Observation 118610c0-a98c-4fd7-ae4f-ec8a76449798 · outbound

This paper cites Alison Noble.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Alison Noble

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.783186Z

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Observation 8397fe1b-0aaf-4efe-93ca-0c0b0e2e61a8 · outbound

This paper cites NTIRE 2026 Rip Current Detection and Segmentation (RipDet- Seg) Challenge Report.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 Rip Current Detection and Segmentation (RipDet- Seg) Challenge Report

Reference 19

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Observation 306e3a85-b9d0-4f53-8777-fc11f7167315 · outbound

This paper cites Conde, Zongwei Wu, Yeying Jin, Radu Timofte, et al.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Conde, Zongwei Wu, Yeying Jin, Radu Timofte, et al

Reference 20

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Observation 4239cab8-9c57-43b6-b5d3-1ee41618d27a · outbound

This paper cites Saliency detection in the compressed domain for adap- tive image retargeting.IEEE Transactions on Image Pro- cessing, 21(9):3888–3901.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Saliency detection in the compressed domain for adap- tive image retargeting.IEEE Transactions on Image Pro- cessing, 21(9):3888–3901

Reference 21

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Observation dc1a50c2-d734-4d44-a82f-349d94e63377 · outbound

This paper cites Finevideo.https:// huggingface.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Finevideo.https:// huggingface

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.790134Z

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Observation c623550b-cbb5-4b8a-9af0-7f45508a71a9 · outbound

This paper cites Intuitive physics understanding emerges from self-supervised pretraining on natural videos.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:25:22.549149Z

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Observation e2930cb1-f2b3-42b4-a724-6760e8b50246 · outbound

This paper cites Semiautomatic visual- attention modeling and its application to video compres- sion.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Semiautomatic visual- attention modeling and its application to video compres- sion

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.799104Z

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Observation acd037ee-2968-4389-b5fa-a16c4d44b572 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-10T12:25:22.551338Z

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Observation e4725b08-6cf5-4732-971b-ff1a835a0ec6 · outbound

This paper cites NTIRE 2026 Challenge on End-to-End Financial Receipt Restoration and Reasoning from Degraded Images: Datasets, Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 Challenge on End-to-End Financial Receipt Restoration and Reasoning from Degraded Images: Datasets, Methods and Results

Reference 26

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Observation 7ce0d12d-865c-40e2-94b1-e408c5688858 · outbound

This paper cites NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3).

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)

Reference 27

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Observation 5a989f93-5f6b-4aca-b4df-01e155ec01f5 · outbound

This paper cites Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.762686Z

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Observation 478fbdab-1181-45e0-af37-7439cff7d463 · outbound

This paper cites Irnet-rs: image retargeting network via relative saliency.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Irnet-rs: image retargeting network via relative saliency

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.766458Z

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Observation 739addb1-d33a-4bda-b996-faf8c748d1a8 · outbound

This paper cites NTIRE 2026 Challenge on Robust AI- Generated Image Detection in the Wild.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 Challenge on Robust AI- Generated Image Detection in the Wild

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.768391Z

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Observation 7cca83ac-325e-475c-90df-4faad31ea334 · outbound

This paper cites Saliency-aware video compression.IEEE Transactions on Image Processing, 23 (1):19–33.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Saliency-aware video compression.IEEE Transactions on Image Processing, 23 (1):19–33

Reference 31

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Observation e6443c31-ba62-4a02-90b6-2a377eae11ca · outbound

This paper cites Graph- based visual saliency.Advances in neural information pro- cessing systems, 19.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Graph- based visual saliency.Advances in neural information pro- cessing systems, 19

Reference 32

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Observation 43ed811c-b0ac-4ba0-b374-94fb0d241bd6 · outbound

This paper cites Denoising dif- fusion probabilistic models.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Denoising dif- fusion probabilistic models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.757341Z

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Observation 41fb1a0f-ac42-4b2b-8a9f-4fb5f86b252a · outbound

This paper cites Robust Deepfake De- tection, NTIRE 2026 Challenge: Report.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Robust Deepfake De- tection, NTIRE 2026 Challenge: Report

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.751706Z

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Observation 29e0e684-d8db-46e3-a110-27515b6120b9 · outbound

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

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Lora: Low-rank adaptation of large language models

Reference 35

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Observation b202a475-0960-48ad-8672-0731a6d1ad49 · outbound

This paper cites A model of saliency-based visual attention for rapid scene analysis.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results A model of saliency-based visual attention for rapid scene analysis

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.749727Z

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Observation b1afb0d6-a3ea-4d4f-ac5a-1a112e8ba8bd · outbound

This paper cites Vinet: Pushing the limits of visual modality for audio-visual saliency prediction.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Vinet: Pushing the limits of visual modality for audio-visual saliency prediction

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.753722Z

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Observation 73ef0d6f-cfe5-483d-bf73-b2ad8a456efb · outbound

This paper cites Salicon: Saliency in context.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Salicon: Saliency in context

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.759003Z

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Observation dc96e833-44d9-4b1d-bd84-4e10c2830475 · outbound

This paper cites Diffgaze: A diffusion model for modelling fine-grained human gaze behaviour on 360 images.ACM Transactions on Interactive Intelligent Systems, 16(1):1–23.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Diffgaze: A diffusion model for modelling fine-grained human gaze behaviour on 360 images.ACM Transactions on Interactive Intelligent Systems, 16(1):1–23

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.770411Z

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Observation 47210843-8c00-4189-8ba5-c6352d37384f · outbound

This paper cites Learning to predict where humans look.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Learning to predict where humans look

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.795458Z

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Observation ebcd0cad-b66d-4da3-a460-b64d7c83b1ab · outbound

This paper cites The Kinetics Human Action Video Dataset.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results The Kinetics Human Action Video Dataset

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:13:45.682066Z

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Observation 49e2584b-d67e-4cb0-a4a4-64422c3ae4b4 · outbound

This paper cites NTIRE 2026 Low-light Enhancement: Twilight Cowboy Challenge.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 Low-light Enhancement: Twilight Cowboy Challenge

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.741844Z

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Observation 4529a3a4-a9ba-4d9f-8e3e-a972359d1129 · outbound

This paper cites Bubbleview: an interface for crowd- sourcing image importance maps and tracking visual atten- tion.ACM Transactions on Computer-Human Interaction (TOCHI), 24(5):1–40.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Bubbleview: an interface for crowd- sourcing image importance maps and tracking visual atten- tion.ACM Transactions on Computer-Human Interaction (TOCHI), 24(5):1–40

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.730193Z

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Observation 0b452f49-f810-46d4-8ac5-965a88ad8d27 · outbound

This paper cites Contextual encoder–decoder network for visual saliency prediction.Neural Networks, 129:261–270.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Contextual encoder–decoder network for visual saliency prediction.Neural Networks, 129:261–270

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.732098Z

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Observation 87d6d7a8-b3f4-4695-a5ff-207fc8bfdc7b · outbound

This paper cites Saliency detection for large-scale mesh decimation.Computers & Graphics, 111:63–76.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Saliency detection for large-scale mesh decimation.Computers & Graphics, 111:63–76

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.726471Z

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Observation ceec7b7a-db58-4419-9569-863816e0c922 · outbound

This paper cites an unresolved cited work.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-05-19T10:47:15.807828Z

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Observation 994e525a-83fc-4b8e-a7bd-d1d51ec5bcca · outbound

This paper cites The First Challenge on Mobile Real- World Image Super-Resolution at NTIRE 2026: Bench- mark Results and Method Overview.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results The First Challenge on Mobile Real- World Image Super-Resolution at NTIRE 2026: Bench- mark Results and Method Overview

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.724585Z

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Observation c8a3711a-9736-4346-b7a2-2a367dff0779 · outbound

This paper cites NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Mod- els: Datasets, Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Mod- els: Datasets, Methods and Results

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.728388Z

Source-reported events for the cited work

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Observation 60af59a8-4552-4a4b-ae43-be5243f78aa3 · outbound

This paper cites NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual- Focused Images: Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual- Focused Images: Methods and Results

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.734096Z

Source-reported events for the cited work

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Observation cd6e5a22-5c5d-4524-8d2a-bb731d83baed · outbound

This paper cites an unresolved cited work.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-05-19T10:47:15.737741Z

Source-reported events for the cited work

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Observation 7d6387eb-1f28-46ca-8982-917d9b675f83 · outbound

This paper cites The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.717467Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9799114a-0fc4-4364-bc89-265e1ba13806 · outbound

This paper cites Conde, et al.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Conde, et al

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.719505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b25455a2-2f18-4483-b1d6-b06376b48b8e · outbound

This paper cites NTIRE 2026 X- AIGC Quality Assessment Challenge: Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 X- AIGC Quality Assessment Challenge: Methods and Results

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.715378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a226a2d-e239-4d60-bb55-fd4a1e1087ca · outbound

This paper cites Vmamba: Visual state space model.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Vmamba: Visual state space model

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.721166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aacfb973-84d2-41bf-afe9-a4abcfba6b83 · outbound

This paper cites A convnet for the 2020s.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results A convnet for the 2020s

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.800656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e6e1bf9d-a094-440d-964a-3b56be650c0e · outbound

This paper cites Video swin transformer.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Video swin transformer

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.722773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f60b3cd4-f09d-4706-a6af-3bcd77389c7c · outbound

This paper cites Transalnet: Towards perceptually relevant visual saliency prediction.Neurocomputing, 494:455–467.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Transalnet: Towards perceptually relevant visual saliency prediction.Neurocomputing, 494:455–467

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.793667Z

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Observation 449f083c-dcd6-40f1-9ce0-fa8bc820bcba · outbound

This paper cites Predicting video saliency using crowdsourced mouse-tracking data.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Predicting video saliency using crowdsourced mouse-tracking data

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.797284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a4557f29-9b0a-4f35-9a84-59d39d2d811c · outbound

This paper cites A semiautomatic saliency model and its application to video compression.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results A semiautomatic saliency model and its application to video compression

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.813165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation acf9ea58-d02d-46d0-b838-1e94abd3ec11 · outbound

This paper cites Spatiotemporal saliency in dynamic scenes.IEEE transactions on pattern analysis and machine intelligence, 32(1):171–177.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Spatiotemporal saliency in dynamic scenes.IEEE transactions on pattern analysis and machine intelligence, 32(1):171–177

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.815486Z

Source-reported events for the cited work

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Observation 8f1db39b-788d-4421-8827-30a13c1a3e64 · outbound

This paper cites Mod- elling spatio-temporal saliency to predict gaze direction for short videos.International journal of computer vision, 82 (3):231–243.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Mod- elling spatio-temporal saliency to predict gaze direction for short videos.International journal of computer vision, 82 (3):231–243

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.802697Z

Source-reported events for the cited work

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Observation 8c5016e7-14b2-4011-839a-d94862b53e1c · outbound

This paper cites Sal3d: a model for saliency prediction in 3d meshes.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Sal3d: a model for saliency prediction in 3d meshes

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.804357Z

Source-reported events for the cited work

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Observation 3f6dabb3-0cc6-4526-a4b5-7b9de3e7e633 · outbound

This paper cites Actions in the eye: Dynamic gaze datasets and learnt saliency models for visual recognition.IEEE transactions on pattern analysis and machine intelligence, 37(7):1408–1424.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Actions in the eye: Dynamic gaze datasets and learnt saliency models for visual recognition.IEEE transactions on pattern analysis and machine intelligence, 37(7):1408–1424

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.791934Z

Source-reported events for the cited work

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Observation 399d1da7-325d-4ab1-8dc8-3cd473cbf592 · outbound

This paper cites Realistic saliency guided image enhancement.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Realistic saliency guided image enhancement

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.806267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d979122b-a385-4a88-b0a9-82cc6ee315c4 · outbound

This paper cites Sal- fom: Dynamic saliency prediction with video foundation models.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Sal- fom: Dynamic saliency prediction with video foundation models

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.774082Z

Source-reported events for the cited work

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Observation d1e3fd75-52be-4986-8fd3-c340027215b4 · outbound

This paper cites Aim 2024 challenge on video saliency prediction: Methods and results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Aim 2024 challenge on video saliency prediction: Methods and results

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.775781Z

Source-reported events for the cited work

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Observation 48eb07db-02ff-4c67-907c-ac67372d1018 · outbound

This paper cites NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.809688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 040e1d0a-79d0-4050-8791-b1c435d6e456 · outbound

This paper cites Deep saliency mapping for 3d meshes and applications.ACM Transactions on Multime- dia Computing, Communications and Applications, 19(2): 1–22.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Deep saliency mapping for 3d meshes and applications.ACM Transactions on Multime- dia Computing, Communications and Applications, 19(2): 1–22

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.736057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b9b4b84e-f9ac-43cf-8bab-22e107a9e081 · outbound

This paper cites NTIRE 2026 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.739769Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a1743473-0647-47ff-a6a5-5f7836a6bb10 · outbound

This paper cites Saliency driven perceptual image compression.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Saliency driven perceptual image compression

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.743702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fd5a4729-b378-4fbc-9760-f23fba5b29e1 · outbound

This paper cites NTIRE 2026 Challenge on Learned Smartphone ISP with Unpaired Data: Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 Challenge on Learned Smartphone ISP with Unpaired Data: Methods and Results

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.745553Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be2c6448-e3e4-4643-8ba0-21c134ff0155 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Film: Visual reasoning with a general conditioning layer

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.747597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fc82815d-1071-4451-a7f1-bcf9b1b202fe · outbound

This paper cites NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Chal- lenge: Professional Image Quality Assessment (Track 1).

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Chal- lenge: Professional Image Quality Assessment (Track 1)

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.811518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 97738724-cf5f-4294-96d9-f372b0066e85 · outbound

This paper cites The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.817248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 02c97d45-2f5b-4225-98e5-8d800e8ca233 · outbound

This paper cites NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track2).

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track2)

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:47:15.819003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cd429f20-23ac-47d3-939b-6b1cf347d305 · outbound

This paper cites Kvq: boosting video quality assessment via saliency-guided local perception.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Kvq: boosting video quality assessment via saliency-guided local perception

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:57:19.120335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ae115f98-3dbf-4672-b28c-cc5319ec062f · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Learn- ing transferable visual models from natural language super- vision

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:57:19.105679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2cd626f1-d7c6-4324-a5a9-6b95e27de32b · outbound

This paper cites Predictive coding in the visual cortex: a functional interpretation of some extra- classical receptive-field effects.Nature neuroscience, 2(1): 79–87.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Predictive coding in the visual cortex: a functional interpretation of some extra- classical receptive-field effects.Nature neuroscience, 2(1): 79–87

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:57:19.109461Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 01abbd20-5dc8-4ea1-b4b5-e93b96398b58 · outbound

This paper cites Sam 2: Segment anything in images and videos.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Sam 2: Segment anything in images and videos

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:57:19.102579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ab9f593e-e802-413c-9265-6e78eb08c736 · outbound

This paper cites The Eleventh NTIRE 2026 Efficient Super- Resolution Challenge Report.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results The Eleventh NTIRE 2026 Efficient Super- Resolution Challenge Report

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:57:19.115108Z

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Observation b578619e-8c5f-43bd-afa8-d042c61f99fc · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results High-resolution image synthesis with latent diffusion models

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:57:19.117361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b346ad8d-bcc4-4be2-a593-af7b938ae936 · outbound

This paper cites Hiera: A hierarchical vision trans- former without the bells-and-whistles.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Hiera: A hierarchical vision trans- former without the bells-and-whistles

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:57:19.123430Z

Source-reported events for the cited work

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Observation 1c4c8153-5090-4f59-8cb4-1537f5d721ed · outbound

This paper cites Ntire 2025 challenge on ugc video enhancement: Methods and results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Ntire 2025 challenge on ugc video enhancement: Methods and results

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.258321Z

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Observation 733fe501-ca73-4f18-aebf-72735accfdfb · outbound

This paper cites Conde, Jeffrey Chen, Zhuyun Zhou, Zongwei Wu, Radu Timofte, et al.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Conde, Jeffrey Chen, Zhuyun Zhou, Zongwei Wu, Radu Timofte, et al

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.244625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c8515a3c-3f54-49de-9ff9-abae2913f26f · outbound

This paper cites Payne, Bryan Tripp, Ker- stin Dautenhahn, and Chrystopher L.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Payne, Bryan Tripp, Ker- stin Dautenhahn, and Chrystopher L

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.236739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2479dafa-334f-4978-b7c0-5dbca9ade499 · outbound

This paper cites DINOv3.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results DINOv3

Reference 86

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T12:25:22.541065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a69bc92-8362-41fc-9950-71f6cecdffe0 · outbound

This paper cites Spratling.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Spratling

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.271435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e43cfa37-bb6c-4c73-a4f2-e0328dc54f50 · outbound

This paper cites The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.233559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c93491af-0cb0-46f1-9f0a-d9d3b65b8db9 · outbound

This paper cites The Second Challenge on Event-Based Image Deblurring at NTIRE 2026: Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results The Second Challenge on Event-Based Image Deblurring at NTIRE 2026: Methods and Results

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.213487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6710c0f0-0f5d-440e-aa3f-9b7ede564db3 · outbound

This paper cites NTIRE 2026 The First Challenge on Blind Computational Aberration Correction: Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 The First Challenge on Blind Computational Aberration Correction: Methods and Results

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.242950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c4594d4c-8d51-4142-ab1a-bae78a06dd65 · outbound

This paper cites Cardiff: Video salient object ranking chain of thought reasoning for saliency prediction with diffusion.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Cardiff: Video salient object ranking chain of thought reasoning for saliency prediction with diffusion

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.263025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 82351855-d605-4cf4-8c2f-49f0e21db5c0 · outbound

This paper cites Saliency revisited: Analysis of mouse move- ments versus fixations.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Saliency revisited: Analysis of mouse move- ments versus fixations

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.207472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 96b23776-ec5a-4d74-92ab-5eba18e3de3d · outbound

This paper cites DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:25:22.543729Z

Source-reported events for the cited work

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Observation 5cc140c4-72cd-4fa1-9958-141cc280c145 · outbound

This paper cites A closer look at spatiotem- poral convolutions for action recognition.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results A closer look at spatiotem- poral convolutions for action recognition

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.259641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ece708bf-43fa-4db3-be44-c4ef5cca5fcf · outbound

This paper cites Learning-Based Ambient Lighting Normalization: NTIRE 2026 Challenge Results and Findings.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Learning-Based Ambient Lighting Normalization: NTIRE 2026 Challenge Results and Findings

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.251455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fe1cf877-c83c-402e-86b2-697773fd89d6 · outbound

This paper cites Advances in Single- Image Shadow Removal: Results from the NTIRE 2026 Challenge.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Advances in Single- Image Shadow Removal: Results from the NTIRE 2026 Challenge

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.237104Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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This paper cites Enhancement of 360° video stream- ing through saliency-guided viewport prediction.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Enhancement of 360° video stream- ing through saliency-guided viewport prediction

Reference 97

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This paper cites The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:57:19.126978Z

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Observation 5bb192c5-719c-41d6-ad61-83c603927ef1 · outbound

This paper cites ViSAGE @ NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results ViSAGE @ NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:57:19.129390Z

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Observation 291d6e1d-bf48-4192-8306-6522b48f74d4 · outbound

This paper cites NTIRE 2026 Challenge on 3D Content Super-Resolution: Methods and Results.

NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results NTIRE 2026 Challenge on 3D Content Super-Resolution: Methods and Results

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:03:03.249882Z

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