Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos | Paper Citation Record

Observation bb025d11-7abc-45fa-941e-be55fa65712e · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Deep Learning using Rectified Linear Units (ReLU)

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This paper cites McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr

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This paper cites A dataset for develop- ing and benchmarking active vision.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos A dataset for develop- ing and benchmarking active vision

Reference 3

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This paper cites Automatic editing of footage from multi- ple social cameras.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Automatic editing of footage from multi- ple social cameras

Reference 4

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Unresolved cited work

Reference 5

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Observation cc8180e4-325e-4e9e-8930-f4a1fede591c · outbound

This paper cites WeaQA: Weak Supervision via Captions for Visual Question Answering.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos WeaQA: Weak Supervision via Captions for Visual Question Answering

Reference 6

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This paper cites METEOR: An auto- matic metric for MT evaluation with improved correlation with human judgments.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos METEOR: An auto- matic metric for MT evaluation with improved correlation with human judgments

Reference 7

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Observation 1fd79043-4e34-4a2c-892b-dd4ab3137967 · outbound

This paper cites Is space-time attention all you need for video understanding? In ICML, page 4, 2021.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Is space-time attention all you need for video understanding? In ICML, page 4, 2021

Reference 8

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Observation 71bc575b-f19d-4b46-8a5c-939063e2b0b4 · outbound

This paper cites High- lightme: Detecting highlights from human-centric videos.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos High- lightme: Detecting highlights from human-centric videos

Reference 9

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Observation 1970d812-711b-4c45-a19f-73c8b38c4a28 · outbound

This paper cites Extreme rotation estimation using dense correlation volumes.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Extreme rotation estimation using dense correlation volumes

Reference 10

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Observation 0a0c9b5d-fb6a-4dba-a770-a30c788473ae · outbound

This paper cites Davis, and Lei Zhang.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Davis, and Lei Zhang

Reference 11

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Observation e8215ca4-bb01-45c4-917f-b677ab0198c0 · outbound

This paper cites Enhanced interactive 360° viewing via automatic guidance.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Enhanced interactive 360° viewing via automatic guidance

Reference 12

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Observation 20ccd794-4833-45b6-95bf-6553e0024242 · outbound

This paper cites Learn- ing sports camera selection from internet videos.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Learn- ing sports camera selection from internet videos

Reference 13

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Observation 9f637a90-1a36-4165-9a78-1202d46acbd4 · outbound

This paper cites Wide- baseline relative camera pose estimation with directional learning.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Wide- baseline relative camera pose estimation with directional learning

Reference 14

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Observation 3899a749-9f6c-48a5-bf29-582af09d9ade · outbound

This paper cites Geometry-aware recurrent neural networks for active visual recognition.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Geometry-aware recurrent neural networks for active visual recognition

Reference 15

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Observation 128e8bf9-6538-4aff-8651-901cd8535971 · outbound

This paper cites Towards a richer 2d understanding of hands at scale.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Towards a richer 2d understanding of hands at scale

Reference 16

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This paper cites Gonzalez, Ion Stoica, and Eric P.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Gonzalez, Ion Stoica, and Eric P

Reference 17

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This paper cites Self-view Grounding Given a Narrated 360{\deg} Video.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Self-view Grounding Given a Narrated 360{\deg} Video

Reference 18

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Observation 0b7dded2-0479-4e31-860c-2989caae0cf8 · outbound

This paper cites Video co-summarization: Video summarization by visual co- occurrence.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Video co-summarization: Video summarization by visual co- occurrence

Reference 19

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Observation 7ab7f5a7-5e64-401d-b3e0-1b9d56e9b9a2 · outbound

This paper cites elochoice.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos elochoice

Reference 20

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Observation 15cdcf51-af90-48d1-9276-bccd1ddac3ad · outbound

This paper cites Scaling egocentric vision: The epic- kitchens dataset.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Scaling egocentric vision: The epic- kitchens dataset

Reference 21

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Observation 13f61efd-951b-41cd-a55b-661009310c20 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 22

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This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 23

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Observation 9cb4724f-b0dd-49f3-825f-fe2f18162725 · outbound

This paper cites Velastin.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Velastin

Reference 24

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Observation d0be0b1f-e948-4cb3-b0af-4b86378f439e · outbound

This paper cites Virtex: Learning visual representations from textual annotations.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Virtex: Learning visual representations from textual annotations

Reference 25

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Observation acde62f6-cf94-455a-bc65-539a3d3f779d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 26

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Observation 786245bb-34cc-4782-b6da-f8e960b5843f · outbound

This paper cites Dense and aligned captions (dac) promote compositional reasoning in vl models.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Dense and aligned captions (dac) promote compositional reasoning in vl models

Reference 27

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Observation face0574-4d45-4a9a-b547-52f30f5a2cb4 · outbound

This paper cites Multi-view active fine- grained visual recognition.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Multi-view active fine- grained visual recognition

Reference 28

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Observation ae7829db-5a61-4529-b7b2-53d081487132 · outbound

This paper cites Multi- stream dynamic video summarization.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Multi- stream dynamic video summarization

Reference 29

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This paper cites Elson and Mark O.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Elson and Mark O

Reference 30

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Foote and D

Reference 31

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Multi-view video summa- rization

Reference 32

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Observation aea03a6d-8bf6-41c2-823e-ae6aaa5262d3 · outbound

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Gleicher, Rachel M

Reference 33

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Observation 69cd9eef-ad25-4bde-be6c-0f56da3ca3fa · outbound

This paper cites PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores

Reference 34

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Diverse sequential subset selection for supervised video summarization

Reference 35

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Observation 1fb9a401-425c-4436-beaa-101ae1ca7ace · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Ego4d: Around the world in 3,000 hours of egocentric video

Reference 36

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Observation c0b2dc9a-8d8c-43ed-9738-c519d6a0c022 · outbound

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Reference 37

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Observation 36ada9b3-36b4-4a4b-bdaf-73478b66a597 · outbound

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Temporal Difference Variational Auto-Encoder

Reference 38

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Observation 82cf2f02-60ce-48a7-b2b7-45c7745d63b4 · outbound

This paper cites From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models

Reference 39

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Using closed captions as supervision for video activity recognition

Reference 40

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Observation ee3b7321-6456-4c50-a586-d310a09ced60 · outbound

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Creating summaries from user videos

Reference 41

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Video summarization by learning submodular mixtures of objec- tives

Reference 42

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Align and attend: Multimodal summarization with dual contrastive losses

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Cohen, and David H

Reference 44

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Cohen, and David H

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Vir- tual videography

Reference 46

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos LoRA: Low-Rank Adaptation of Large Language Models

Reference 47

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This paper cites Deep 360 pilot: Learning a deep agent for piloting through 360deg sports videos.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Deep 360 pilot: Learning a deep agent for piloting through 360deg sports videos

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Observation eaaccbea-74bd-4aa4-a9a1-0ed54ce64a55 · outbound

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World

Reference 49

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Observation d3df167d-f2ce-44a1-97d9-fcefb64f1699 · outbound

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Batch normalization: accelerating deep network training by reducing internal co- variate shift

Reference 50

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Observation c0397a64-a4a6-40dc-9e1d-f306b0a6255a · outbound

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Look-ahead be- fore you leap: end-to-end active recognition by forecasting the effect of motion

Reference 51

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Observation 8ea4e95b-7769-44eb-b8c4-b79cb4233be3 · outbound

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Learning to look around: Intelligently exploring unseen environments for unknown tasks

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Observation 512bb144-e0c5-4bf9-a5f8-977456cfdf53 · outbound

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos End-to-end policy learning for active visual categorization

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Observation 2835bd81-9f36-41e4-a29d-cbf613bc3efc · outbound

This paper cites Time-Agnostic Prediction: Predicting Predictable Video Frames.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Time-Agnostic Prediction: Predicting Predictable Video Frames

Reference 54

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Observation 5c8021b6-ddd4-4df0-a69b-51c0e2d0c7ce · outbound

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Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Simglim: Simplifying glimpse based active visual reconstruction

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Observation d3adfba1-3679-4606-90ce-c0a8591e3d1d · outbound

This paper cites Lemma: A multi-view dataset for le arning m ulti-agent m ulti-task a ctivities.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Lemma: A multi-view dataset for le arning m ulti-agent m ulti-task a ctivities

Reference 56

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Observation 75304319-c3b5-4630-854f-269cd0168e43 · outbound

This paper cites RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

Reference 57

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Observation cece5df7-2619-49f6-be83-94a62c0fa7f0 · outbound

This paper cites Large-scale video summarization using web-image priors.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Large-scale video summarization using web-image priors

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.624405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4afe155d-955c-48ed-bbcc-329d56768cd9 · outbound

This paper cites an unresolved cited work.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.629375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb661ab1-ee16-4e98-81ab-c87070f9aa7b · outbound

This paper cites Segment any- thing.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Segment any- thing

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.635697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 883c89c2-d078-4ec9-9dee-f367fe283eba · outbound

This paper cites Hyperbolic Learning with Synthetic Captions for Open-World Detection.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Hyperbolic Learning with Synthetic Captions for Open-World Detection

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-12T21:27:17.290381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41dfb3fc-a295-4cc4-895d-81fc3c3afa56 · outbound

This paper cites A memory network approach for story-based temporal summarization of 360° videos.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos A memory network approach for story-based temporal summarization of 360° videos

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.650230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6e45f0f-680a-4afb-9c6e-ea8b2a8a707a · outbound

This paper cites Predicting important objects for egocentric video summarization.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Predicting important objects for egocentric video summarization

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.657826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebfefeba-e6cc-4e98-ad04-5e03f150fd7a · outbound

This paper cites MVBench: A Comprehensive Multi-modal Video Understanding Benchmark.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.663653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e15fd5d7-482f-47e8-9912-453c1c504e1c · outbound

This paper cites Grounded language-image pre-training.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Grounded language-image pre-training

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.669888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb28cbc6-1078-4f06-883f-5b54aacfb4cb · outbound

This paper cites How local is the local diversity? reinforcing sequen- tial determinantal point processes with dynamic ground sets for supervised video summarization.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos How local is the local diversity? reinforcing sequen- tial determinantal point processes with dynamic ground sets for supervised video summarization

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.675226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 756366c4-920a-4fa0-adff-8122bda308df · outbound

This paper cites Egocentric video-language pretraining.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Egocentric video-language pretraining

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.569353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cadd1a59-85f1-4e16-aa5a-d1d422355b18 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.685434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d116433c-7261-411f-861d-40dd7605c0ca · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.691686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30c3a2d4-49dd-4644-9a7e-f73abf1a3b68 · outbound

This paper cites Decoupled Weight Decay Regularization.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Decoupled Weight Decay Regularization

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.697244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fefd853-04f0-49ae-bd8c-3265e7192f38 · outbound

This paper cites Story-driven summariza- tion for egocentric video.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Story-driven summariza- tion for egocentric video

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.549057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9ae5bc4-44f2-43e1-b13f-e77415b31e02 · outbound

This paper cites Switch-a-View: View Selection Learned from Unlabeled In-the-wild Videos.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Switch-a-View: View Selection Learned from Unlabeled In-the-wild Videos

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.709927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04784fba-8090-4375-bf5d-e45497f5a31e · outbound

This paper cites Video summarization via multi- view representative selection.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Video summarization via multi- view representative selection

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.525516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fe0807fc-36ba-4265-b1fc-4fa9b5e49f6a · outbound

This paper cites Howto100m: Learning a text-video embedding by watching hundred million narrated video clips.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Howto100m: Learning a text-video embedding by watching hundred million narrated video clips

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.496074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8106cd4f-a3de-45d2-9b5d-29a59d8cef9b · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Srinivasan, Matthew Tancik, Jonathan T

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.726553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03ae2a1e-6682-4d9f-a1ec-1b14efc1a1e2 · outbound

This paper cites Automatized summarization of multi- player games.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Automatized summarization of multi- player games

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.454733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61da99fb-d31c-4453-92b7-c0c58c127885 · outbound

This paper cites Egoenv: Human- centric environment representations from egocentric video.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Egoenv: Human- centric environment representations from egocentric video

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.410732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 67c3248e-d510-4503-9440-8e7f5cc3a3bb · outbound

This paper cites Tl; dw? summarizing instructional videos with task relevance and cross-modal saliency.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Tl; dw? summarizing instructional videos with task relevance and cross-modal saliency

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.385894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 82e5f804-aefd-4974-b8dc-ef24f38a6c01 · outbound

This paper cites Adaptive skip intervals: Temporal abstraction for recurrent dynamical models.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Adaptive skip intervals: Temporal abstraction for recurrent dynamical models

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.357873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e63b266-ec5b-4f6c-abe9-3c919f19deda · outbound

This paper cites Au- tomatic video summarization by graph modeling.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Au- tomatic video summarization by graph modeling

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.336833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad9bab32-aae4-4415-8174-2a602a225541 · outbound

This paper cites Collabora- tive summarization of topic-related videos.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Collabora- tive summarization of topic-related videos

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.316696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1deecac3-7788-4b32-ab77-5d47a72a0932 · outbound

This paper cites Multi-view surveillance video summarization via joint embedding and sparse optimization.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Multi-view surveillance video summarization via joint embedding and sparse optimization

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.295299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8f1a830f-752c-4357-a063-ac2da8b6188e · outbound

This paper cites Roy-Chowdhury.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Roy-Chowdhury

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.274325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c21a3630-06c2-4b52-af5b-4584cb1ac0f1 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Bleu: a method for automatic evaluation of machine translation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.257179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a1a688b-0e61-4405-8da4-40835fb472d8 · outbound

This paper cites Sumgraph: Video summarization via recursive graph modeling.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Sumgraph: Video summarization via recursive graph modeling

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.238943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d7ac8df-72f4-4c62-9db1-cc869eb1d79d · outbound

This paper cites Egovlpv2: Egocentric video-language pre-training with fusion in the backbone.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Egovlpv2: Egocentric video-language pre-training with fusion in the backbone

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.215657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 378c0f34-b5b3-4334-b4f1-51e9efeac2e5 · outbound

This paper cites Vloc- net++: Deep multitask learning for semantic visual localiza- tion and odometry.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Vloc- net++: Deep multitask learning for semantic visual localiza- tion and odometry

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.193781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a4a08e10-1781-4d09-a398-42aed2923331 · outbound

This paper cites Sidekick policy learning for active visual exploration.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Sidekick policy learning for active visual exploration

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.176412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af605da0-9852-40f0-bac3-870705489a30 · outbound

This paper cites Emergence of exploratory look-around behaviors through active observation completion.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Emergence of exploratory look-around behaviors through active observation completion

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.160511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e496eb70-24af-4f73-94f6-c2f539eb4e2a · outbound

This paper cites Naq: Leveraging narrations as queries to super- vise episodic memory.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Naq: Leveraging narrations as queries to super- vise episodic memory

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.143654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d19f8cfa-e3cc-4253-ad30-7ea6ae3fa489 · outbound

This paper cites Video summarization by learning from unpaired data.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Video summarization by learning from unpaired data

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.126653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d4725b1-c25f-457f-9870-5f756309db84 · outbound

This paper cites Adaptive video highlight detection by learning from user history.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Adaptive video highlight detection by learning from user history

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.835818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fc92f75-2740-4f13-a654-84a748667606 · outbound

This paper cites Chowdhury.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Chowdhury

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.097889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c5a9690f-59df-487e-b0b1-bb2c99d7e9e3 · outbound

This paper cites Attend and segment: Attention guided active semantic segmentation.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Attend and segment: Attention guided active semantic segmentation

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T21:27:16.846399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 121c8f1a-836b-4abb-a24b-3acd089351ec · outbound

This paper cites Glimpse- attend-and-explore: Self-attention for active visual explo- ration.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Glimpse- attend-and-explore: Self-attention for active visual explo- ration

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.070161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6b9d89a-40b3-4049-8dfd-16e538200d9a · outbound

This paper cites Actor and observer: Joint modeling of first and third-person videos.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Actor and observer: Joint modeling of first and third-person videos

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.052780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8481d850-ddf3-403a-8c8c-56f49059cce9 · outbound

This paper cites Tvsum: Summarizing web videos using titles.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Tvsum: Summarizing web videos using titles

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.034387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6266f243-3dcb-4190-a5e2-0dda93bef23a · outbound

This paper cites Making 360 ° video watchable in 2d: Learning videography for click free view- ing.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Making 360 ° video watchable in 2d: Learning videography for click free view- ing

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:18.015861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 67a9f5c6-e0a6-41cf-9c32-e40ba2a166ae · outbound

This paper cites Pano2vid: Automatic cinematography for watching 360 videos.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Pano2vid: Automatic cinematography for watching 360 videos

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:17.994590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fbe32558-5b46-4a57-9a06-394c4ba8a462 · outbound

This paper cites Automatic con- cept discovery from parallel text and visual corpora.

Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Automatic con- cept discovery from parallel text and visual corpora

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:27:17.975142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Reference resolution

Outbound references

Pith citing papers