Generic Event Boundary Detection via Denoising Diffusion | Paper Citation Record

Observation 53f3eb6d-2e94-4488-9a81-63f875ec51b1 · outbound

This paper cites Uncertainty-aware antic- ipation of activities.

Generic Event Boundary Detection via Denoising Diffusion Uncertainty-aware antic- ipation of activities

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.405959Z

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Observation 71c28449-8cec-4267-88e8-823d2742d9a0 · outbound

This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.

Generic Event Boundary Detection via Denoising Diffusion SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.653963Z

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Observation 6e97a817-18d5-48d1-ab7e-aa6827bdba4b · outbound

This paper cites Vivit: A video vision transformer.

Generic Event Boundary Detection via Denoising Diffusion Vivit: A video vision transformer

Reference 3

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Observation 70b8b768-e171-4e8b-8d4c-a581c431bfc7 · outbound

This paper cites The Cramer Distance as a Solution to Biased Wasserstein Gradients.

Generic Event Boundary Detection via Denoising Diffusion The Cramer Distance as a Solution to Biased Wasserstein Gradients

Reference 4

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Observation 360d6a2a-d643-4e82-a33c-919ed8edde79 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

Generic Event Boundary Detection via Denoising Diffusion Quo vadis, action recognition? a new model and the kinetics dataset

Reference 5

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Observation 0e9f4dd5-0e9d-4229-85cd-f224aa261d8c · outbound

This paper cites Dif- fusiondet: Diffusion model for object detection.

Generic Event Boundary Detection via Denoising Diffusion Dif- fusiondet: Diffusion model for object detection

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.390241Z

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Observation 55f6363d-76ea-464f-b80a-6afa7bf6eaf1 · outbound

This paper cites ImageNet: a large-scale hierarchical image database.

Generic Event Boundary Detection via Denoising Diffusion ImageNet: a large-scale hierarchical image database

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.381044Z

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Observation 22db94ab-8f83-4ed8-92c1-d646bc884215 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Generic Event Boundary Detection via Denoising Diffusion Diffusion models beat gans on image synthesis

Reference 8

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Observation 5aabd962-4dd2-41bb-937d-c9d1d2e2fb83 · outbound

This paper cites Tempo- ral action segmentation: An analysis of modern techniques.

Generic Event Boundary Detection via Denoising Diffusion Tempo- ral action segmentation: An analysis of modern techniques

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.366295Z

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Observation f762febf-5890-49c5-8c53-32de1e0eba28 · outbound

This paper cites Weakly-supervised action seg- mentation with iterative soft boundary assignment.

Generic Event Boundary Detection via Denoising Diffusion Weakly-supervised action seg- mentation with iterative soft boundary assignment

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.357527Z

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Observation b9cf4ba9-11b4-40ce-a456-e7b48bbd35f2 · outbound

This paper cites Ms-tcn: Multi-stage tem- poral convolutional network for action segmentation.

Generic Event Boundary Detection via Denoising Diffusion Ms-tcn: Multi-stage tem- poral convolutional network for action segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.348613Z

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Observation 0fb55385-4fdd-487a-a105-5fde1aa44e2d · outbound

This paper cites Action detection via an image diffusion process.

Generic Event Boundary Detection via Denoising Diffusion Action detection via an image diffusion process

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.339911Z

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Observation e48697cb-3d62-4d71-abb1-b44a5c664c80 · outbound

This paper cites Deep residual learning for image recognition.

Generic Event Boundary Detection via Denoising Diffusion Deep residual learning for image recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.690088Z

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Observation 38ef7067-81cf-4baf-84af-5a6faebbe910 · outbound

This paper cites Deep residual learning for image recognition.

Generic Event Boundary Detection via Denoising Diffusion Deep residual learning for image recognition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.692946Z

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Observation c088229f-7cce-46cf-9ef3-e2d740555213 · outbound

This paper cites Classifier-free diffusion guidance.

Generic Event Boundary Detection via Denoising Diffusion Classifier-free diffusion guidance

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.319470Z

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Observation ea5d2fff-46e1-4e70-8feb-8278462bcd33 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Generic Event Boundary Detection via Denoising Diffusion Denoising dif- fusion probabilistic models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.699283Z

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Observation 73f2037b-56a6-40b5-88c3-bf0fb27a579a · outbound

This paper cites Con- nectionist temporal modeling for weakly supervised action labeling.

Generic Event Boundary Detection via Denoising Diffusion Con- nectionist temporal modeling for weakly supervised action labeling

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.304218Z

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Observation 8f66eb7a-dc08-4bab-bd6e-a8fd694d6abb · outbound

This paper cites Equilibrium free-energy differences from nonequilibrium measurements: A master-equation ap- proach.

Generic Event Boundary Detection via Denoising Diffusion Equilibrium free-energy differences from nonequilibrium measurements: A master-equation ap- proach

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.295606Z

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Observation 9aa585bf-5943-44d3-9c6d-c2a81183098c · outbound

This paper cites Coarse-fine net- works for temporal activity detection in videos.

Generic Event Boundary Detection via Denoising Diffusion Coarse-fine net- works for temporal activity detection in videos

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.286647Z

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Observation 7751ed30-02cf-484f-8bb5-cd2bfef93142 · outbound

This paper cites Uboco: Unsupervised boundary contrastive learning for generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Uboco: Unsupervised boundary contrastive learning for generic event boundary detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.277213Z

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Observation e0e7dcd9-34e7-472e-99f5-c60525b1e122 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Generic Event Boundary Detection via Denoising Diffusion The Kinetics Human Action Video Dataset

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.714573Z

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Observation 4b21145b-570c-4801-9402-072ff6dc248a · outbound

This paper cites A probabilistic u-net for segmentation of ambiguous im- ages.

Generic Event Boundary Detection via Denoising Diffusion A probabilistic u-net for segmentation of ambiguous im- ages

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.268728Z

Source-reported events for the cited work

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Observation 86966cb8-dbf6-456b-8102-34ac76ea3789 · outbound

This paper cites Segmental spatiotemporal cnns for fine-grained action seg- mentation.

Generic Event Boundary Detection via Denoising Diffusion Segmental spatiotemporal cnns for fine-grained action seg- mentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.259735Z

Source-reported events for the cited work

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Observation a7413aee-f723-413e-9d61-b8f56c78bd18 · outbound

This paper cites Structured Context Transformer for Generic Event Boundary Detection.

Generic Event Boundary Detection via Denoising Diffusion Structured Context Transformer for Generic Event Boundary Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.723855Z

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Observation 358e867d-051c-407f-9e16-28eccfbdc28f · outbound

This paper cites End-to-end compressed video 9 representation learning for generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion End-to-end compressed video 9 representation learning for generic event boundary detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.250441Z

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Observation 9091cbde-5698-4fb7-b015-d89115e5950e · outbound

This paper cites Bmn: Boundary-matching network for temporal action pro- posal generation.

Generic Event Boundary Detection via Denoising Diffusion Bmn: Boundary-matching network for temporal action pro- posal generation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.239038Z

Source-reported events for the cited work

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Observation cfaef705-918c-48ce-91d3-42dadd3323e0 · outbound

This paper cites Flow matching for genera- tive modeling.

Generic Event Boundary Detection via Denoising Diffusion Flow matching for genera- tive modeling

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.229212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8adba70f-d64a-4c3e-b035-404b24dff76e · outbound

This paper cites Diffusion action segmenta- tion.

Generic Event Boundary Detection via Denoising Diffusion Diffusion action segmenta- tion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.220455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 75aecfcd-8340-47d0-bfe2-5745dd4e250d · outbound

This paper cites Dpm-solver++: Fast solver for guided sam- pling of diffusion probabilistic models.Machine Intelligence Research, pages 1–22, 2025.

Generic Event Boundary Detection via Denoising Diffusion Dpm-solver++: Fast solver for guided sam- pling of diffusion probabilistic models.Machine Intelligence Research, pages 1–22, 2025

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.212156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 457d5e51-0af5-4397-af68-7230bc391ed6 · outbound

This paper cites Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models.

Generic Event Boundary Detection via Denoising Diffusion Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.741004Z

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Observation 5af431a0-1bc8-4195-9727-800a1eb28901 · outbound

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

Generic Event Boundary Detection via Denoising Diffusion Film: Visual reasoning with a general conditioning layer

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.199082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 413ea444-5387-4c96-89ea-c8f10863d1bb · outbound

This paper cites Ambiguous medical image segmentation using diffusion models.

Generic Event Boundary Detection via Denoising Diffusion Ambiguous medical image segmentation using diffusion models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.747264Z

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Observation 1eb993a1-1e06-4cc5-a459-15f70008aed7 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Generic Event Boundary Detection via Denoising Diffusion Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.750524Z

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Observation d307340b-1598-4276-aacb-40fd3869a4cf · outbound

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

Generic Event Boundary Detection via Denoising Diffusion High-resolution image synthesis with latent diffusion models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.753674Z

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Observation 146b4ebd-c61c-489b-b32a-3459254d8598 · outbound

This paper cites Improving GANs Using Optimal Transport.

Generic Event Boundary Detection via Denoising Diffusion Improving GANs Using Optimal Transport

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.757355Z

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Unavailable: canonical work link unavailable.

Observation 55ce2318-7f7d-4348-8302-47db0b18cd6b · outbound

This paper cites Intra-and inter-action understanding via temporal action parsing.

Generic Event Boundary Detection via Denoising Diffusion Intra-and inter-action understanding via temporal action parsing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.180812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 789f2420-5cd6-4079-b039-1cadf558b4c4 · outbound

This paper cites Generic event boundary de- tection: A benchmark for event segmentation.

Generic Event Boundary Detection via Denoising Diffusion Generic event boundary de- tection: A benchmark for event segmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.169740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66b62ef8-5fcf-485d-9ae2-d80e5d838ddb · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Generic Event Boundary Detection via Denoising Diffusion Deep unsupervised learning using nonequilibrium thermodynamics

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.766852Z

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Observation baceac56-4cb2-40c0-8346-43340e1a9cc9 · outbound

This paper cites Learning structured output representation using deep conditional gen- erative models.

Generic Event Boundary Detection via Denoising Diffusion Learning structured output representation using deep conditional gen- erative models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.154828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 34ac6350-ff0a-4ae5-ac4e-97e0d2153a09 · outbound

This paper cites Denois- ing diffusion implicit models.

Generic Event Boundary Detection via Denoising Diffusion Denois- ing diffusion implicit models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.772998Z

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Observation 02e19604-9a3c-4a77-87a2-aaebe159784d · outbound

This paper cites Consistency models.

Generic Event Boundary Detection via Denoising Diffusion Consistency models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.140382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b00bdaff-47f8-4b42-a685-4a30d26189cf · outbound

This paper cites Sz ´ekely and Maria L.

Generic Event Boundary Detection via Denoising Diffusion Sz ´ekely and Maria L

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.132054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a241fe75-d661-4666-abbd-6d7a8af6cde5 · outbound

This paper cites Temporal perceiver: A general architecture for arbitrary boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Temporal perceiver: A general architecture for arbitrary boundary detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.123571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7bbb7551-0599-4181-b93c-b8ce93e188a9 · outbound

This paper cites Progressive attention on multi-level dense difference maps for generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Progressive attention on multi-level dense difference maps for generic event boundary detection

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.114499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ceb44fcf-e436-4f1a-bf23-21c6af1d1086 · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks.

Generic Event Boundary Detection via Denoising Diffusion Learning spatiotemporal features with 3d convolutional networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.789694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 131524ec-d7fc-4256-aa72-acdcd5d2a17d · outbound

This paper cites A closer look at spatiotemporal convolutions for action recognition.

Generic Event Boundary Detection via Denoising Diffusion A closer look at spatiotemporal convolutions for action recognition

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.099895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 50854e2f-82fb-4c44-a03c-7a21643e2cc6 · outbound

This paper cites Attention is all you need.

Generic Event Boundary Detection via Denoising Diffusion Attention is all you need

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.091413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 772099e8-1c90-4b38-8bcf-833dd3e3822c · outbound

This paper cites Non-local neural networks.

Generic Event Boundary Detection via Denoising Diffusion Non-local neural networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.083577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2ad9c30b-00b6-4a27-b705-8b204eebf507 · outbound

This paper cites Long-term feature banks for detailed video understanding.

Generic Event Boundary Detection via Denoising Diffusion Long-term feature banks for detailed video understanding

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.073795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 62cf4e93-2c7d-466d-b47f-d68a70e45c46 · outbound

This paper cites Medsegdiff: Medical image segmentation with diffusion probabilistic model.

Generic Event Boundary Detection via Denoising Diffusion Medsegdiff: Medical image segmentation with diffusion probabilistic model

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.063608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e2c1009-8590-4951-8b37-e4594634cefc · outbound

This paper cites G-tad: Sub-graph localization for tempo- ral action detection.

Generic Event Boundary Detection via Denoising Diffusion G-tad: Sub-graph localization for tempo- ral action detection

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.054200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2664705d-cbad-489b-b8bf-5ec57d805881 · outbound

This paper cites ASFormer: Transformer for Action Segmentation.

Generic Event Boundary Detection via Denoising Diffusion ASFormer: Transformer for Action Segmentation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.809587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b0246ff-a9c7-44b7-b7d2-ab605b16d286 · outbound

This paper cites an unresolved cited work.

Generic Event Boundary Detection via Denoising Diffusion Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:29:35.045958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b6adfc4d-b609-4638-a53d-9730787058f9 · outbound

This paper cites Gated temporal diffusion for stochastic long-term dense anticipation.

Generic Event Boundary Detection via Denoising Diffusion Gated temporal diffusion for stochastic long-term dense anticipation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.036805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8c883104-0e35-4114-a923-c96942d2dbb8 · outbound

This paper cites Graph con- volutional networks for temporal action localization.

Generic Event Boundary Detection via Denoising Diffusion Graph con- volutional networks for temporal action localization

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.027768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 680d6f71-4241-4fa3-a710-b23d01802a5d · outbound

This paper cites Actionformer: Lo- calizing moments of actions with transformers.

Generic Event Boundary Detection via Denoising Diffusion Actionformer: Lo- calizing moments of actions with transformers

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:34.821942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 651a2629-d4ac-4053-8eb9-0ce6743b98f9 · outbound

This paper cites Local compressed video stream learning for generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Local compressed video stream learning for generic event boundary detection

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.015488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ef56846-12d8-444c-8d03-df8c6876777f · outbound

This paper cites A probabilistic model for controlling diversity and accuracy of ambiguous medical image segmentation.

Generic Event Boundary Detection via Denoising Diffusion A probabilistic model for controlling diversity and accuracy of ambiguous medical image segmentation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:35.008037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf3fcc9a-83b5-4de8-8b21-66961a8cbb9b · outbound

This paper cites Unipc: A unified predictor-corrector framework for fast sampling of diffusion models.

Generic Event Boundary Detection via Denoising Diffusion Unipc: A unified predictor-corrector framework for fast sampling of diffusion models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:34.998096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5a126dbb-4fa0-49c4-901f-d07a1831c98e · outbound

This paper cites Rethinking the architecture design for efficient generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Rethinking the architecture design for efficient generic event boundary detection

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:34.989816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ce3da6d-5b36-40e2-9b6b-90a5080d1cf9 · outbound

This paper cites Fine-grained dynamic network for generic event boundary detection.

Generic Event Boundary Detection via Denoising Diffusion Fine-grained dynamic network for generic event boundary detection

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:34.981284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b07b2bf9-64ed-467c-b012-5cc92b489cca · outbound

This paper cites "" V: video [B, T, H, W, 3] T: diffusion time-step y_0: ground-truth boundary labels [B, L, 1] p: CFG probability.

Generic Event Boundary Detection via Denoising Diffusion "" V: video [B, T, H, W, 3] T: diffusion time-step y_0: ground-truth boundary labels [B, L, 1] p: CFG probability

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:34.972280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e8a0e2d-3430-477a-8da2-995e7d632537 · outbound

This paper cites 1 and Alg.

Generic Event Boundary Detection via Denoising Diffusion 1 and Alg

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:34.960875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 247e71a5-76b9-488c-b54d-7cd65c579b99 · outbound

This paper cites "" V: video [B, T, H, W, 3] T: diffusion time step steps: the number of inference steps w: classifier-free guidance weight.

Generic Event Boundary Detection via Denoising Diffusion "" V: video [B, T, H, W, 3] T: diffusion time step steps: the number of inference steps w: classifier-free guidance weight

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:34.952156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e2a1ecb4-e5ae-4318-a20e-f8cd3df89f23 · outbound

This paper cites All experiments were conducted on the Kinetics-GEBD dataset.

Generic Event Boundary Detection via Denoising Diffusion All experiments were conducted on the Kinetics-GEBD dataset

Reference 65

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T17:29:34.942980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d89943c8-dcfa-45f2-8832-8a7294c8733a · outbound

This paper cites The model demonstrates robust detection of boundaries with significant scene changes across all guidance weights.

Generic Event Boundary Detection via Denoising Diffusion The model demonstrates robust detection of boundaries with significant scene changes across all guidance weights

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:34.934793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12decbb4-af9b-44de-84da-275645f5808a · outbound

This paper cites While our diffusion-based method effectively generates multiple predictions, its iter- ative process significantly slows down inference.

Generic Event Boundary Detection via Denoising Diffusion While our diffusion-based method effectively generates multiple predictions, its iter- ative process significantly slows down inference

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T17:29:34.923450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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