Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection | Paper Citation Record

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This paper cites Localizing mo- ments in video with natural language.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Localizing mo- ments in video with natural language

Reference 1

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Observation f0e13720-1928-45a9-86dd-75ba2afe9f44 · outbound

This paper cites Boundary content graph neural network for temporal action proposal generation.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Boundary content graph neural network for temporal action proposal generation

Reference 2

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Observation df77c5e4-7a07-454c-b8a8-f91ac01b52b7 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 3

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Observation 08cea097-311e-41dc-a647-abdd6cc434c3 · outbound

This paper cites Activitynet: A large-scale video benchmark for human activity understanding.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Activitynet: A large-scale video benchmark for human activity understanding

Reference 4

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This paper cites Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts

Reference 5

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Observation 3c77918f-81cc-4e1d-8347-09e1f7b829a8 · outbound

This paper cites Tallformer: Temporal ac- tion localization with a long-memory transformer.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Tallformer: Temporal ac- tion localization with a long-memory transformer

Reference 6

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Observation e11e8444-c6d8-4973-ae27-f74025a37496 · outbound

This paper cites Vindlu: A recipe for ef- fective video-and-language pretraining.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Vindlu: A recipe for ef- fective video-and-language pretraining

Reference 7

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Observation cf8286c5-9cd7-4431-b86b-0ea317814ccb · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 8

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Observation d0402a72-4fe6-4d3e-b4ee-84a64b963430 · outbound

This paper cites End-to-end learning of motion representation for video understanding.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection End-to-end learning of motion representation for video understanding

Reference 9

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Observation 07b6cf7a-9704-4c7d-8a74-8db79551633c · outbound

This paper cites Tall: Temporal activity localization via language query.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Tall: Temporal activity localization via language query

Reference 10

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Observation 660646cb-6379-487f-be8e-4bbb50558477 · outbound

This paper cites in the wild.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection in the wild

Reference 11

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Observation 9609bb16-1aa7-416f-820d-7f0bd7386e1b · outbound

This paper cites T-rex2: Towards generic object detec- tion via text-visual prompt synergy.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection T-rex2: Towards generic object detec- tion via text-visual prompt synergy

Reference 12

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Observation 084166b9-93db-4129-8882-125be8f4183a · outbound

This paper cites Prompting visual-language models for efficient video understanding.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Prompting visual-language models for efficient video understanding

Reference 13

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Observation 178afd0a-52a8-4b11-b021-c28885dd72f2 · outbound

This paper cites Dense-captioning events in videos.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Dense-captioning events in videos

Reference 14

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Observation 4ff0dbfe-99f5-4758-a122-9aeb10c15eb2 · outbound

This paper cites VideoChat: Chat-Centric Video Understanding.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection VideoChat: Chat-Centric Video Understanding

Reference 15

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This paper cites Unmasked teacher: Towards training-efficient video foundation models.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Unmasked teacher: Towards training-efficient video foundation models

Reference 16

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Observation 2a6bc45b-887f-407f-b02c-6b591c815850 · outbound

This paper cites Mvbench: A comprehensive multi-modal video understand- ing benchmark.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Mvbench: A comprehensive multi-modal video understand- ing benchmark

Reference 17

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Observation dddf181c-cfef-475b-a87c-eae5063a370a · outbound

This paper cites Grounded language-image pre-training.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Grounded language-image pre-training

Reference 18

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Observation e2326f9c-a21e-4f9c-9d64-796a67edefe8 · outbound

This paper cites Detal: open-vocabulary temporal action lo- calization with decoupled networks.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Detal: open-vocabulary temporal action lo- calization with decoupled networks

Reference 19

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Observation 6a64592b-ffe5-4217-89ae-bc456465e19a · outbound

This paper cites Learning salient boundary feature for anchor- free temporal action localization.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Learning salient boundary feature for anchor- free temporal action localization

Reference 20

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Observation 357ce09c-b620-473f-bb54-4355dd7f0a32 · outbound

This paper cites Tsm: Temporal shift module for efficient video understanding.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Tsm: Temporal shift module for efficient video understanding

Reference 21

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This paper cites Univtg: Towards unified video- language temporal grounding.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Univtg: Towards unified video- language temporal grounding

Reference 22

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Observation 2347ab74-c07c-4f6c-84f6-0ae9820ffe81 · outbound

This paper cites Single shot tempo- ral action detection.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Single shot tempo- ral action detection

Reference 23

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Observation 8656353c-c7b3-4b6d-a36d-4f8a7e93d3c0 · outbound

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

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Bmn: Boundary-matching network for temporal action pro- posal generation

Reference 24

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Observation 47621ad1-fd99-4c7e-b9f6-bb4c2a3d2bfc · outbound

This paper cites Focal loss for dense object detection.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Focal loss for dense object detection

Reference 25

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This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 26

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Observation 3b4eb629-b65c-4e19-ae26-6ee52a125700 · outbound

This paper cites End-to-end temporal action detection with 1b parameters across 1000 frames.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection End-to-end temporal action detection with 1b parameters across 1000 frames

Reference 27

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Observation cd97fa05-a8d4-49d2-9f87-c17f7b56e8a6 · outbound

This paper cites An empirical study of end-to-end temporal action detection.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection An empirical study of end-to-end temporal action detection

Reference 28

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This paper cites End-to-end temporal ac- tion detection with transformer.IEEE Transactions on Image Processing, 31:5427–5441, 2022.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection End-to-end temporal ac- tion detection with transformer.IEEE Transactions on Image Processing, 31:5427–5441, 2022

Reference 29

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Observation 38ffb9e2-8104-4f0b-9a22-8f88d600f0ff · outbound

This paper cites Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection

Reference 30

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This paper cites Fineaction: A fine-grained video dataset for temporal action localization.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Fineaction: A fine-grained video dataset for temporal action localization

Reference 31

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This paper cites Decoupled Weight Decay Regularization.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Decoupled Weight Decay Regularization

Reference 32

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This paper cites Towards generalisable video moment retrieval: Visual-dynamic injection to image-text pre-training.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Towards generalisable video moment retrieval: Visual-dynamic injection to image-text pre-training

Reference 33

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This paper cites Valley: Video Assistant with Large Language model Enhanced abilitY.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Valley: Video Assistant with Large Language model Enhanced abilitY

Reference 34

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This paper cites Local- global video-text interactions for temporal grounding.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Local- global video-text interactions for temporal grounding

Reference 35

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This paper cites Zero-shot temporal action detection via vision-language prompting.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Zero-shot temporal action detection via vision-language prompting

Reference 36

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This paper cites Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

Reference 37

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This paper cites Learning transferable visual models from natural language supervi- sion.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Learning transferable visual models from natural language supervi- sion

Reference 38

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This paper cites Action sensitivity learning for temporal action localization.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Action sensitivity learning for temporal action localization

Reference 39

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This paper cites Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning

Reference 40

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This paper cites Tridet: Temporal action detection with relative boundary modeling.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Tridet: Temporal action detection with relative boundary modeling

Reference 41

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This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 42

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This paper cites Attention is all you need.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Attention is all you need

Reference 43

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This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection ActionCLIP: A New Paradigm for Video Action Recognition

Reference 44

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This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 45

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This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation

Reference 46

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This paper cites Learning to refactor action and co-occurrence fea- tures for temporal action localization.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Learning to refactor action and co-occurrence fea- tures for temporal action localization

Reference 47

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Observation ae7d4550-78fd-452f-b34e-9ac9f0ff334f · outbound

This paper cites Unloc: A unified framework for video localiza- tion tasks.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Unloc: A unified framework for video localiza- tion tasks

Reference 48

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This paper cites Basictad: an astounding rgb-only baseline for tem- poral action detection.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Basictad: an astounding rgb-only baseline for tem- poral action detection

Reference 49

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Observation dbaeb6b5-e803-49a0-bd41-e7ae532faca2 · outbound

This paper cites Detclipv3: To- wards versatile generative open-vocabulary object detection.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Detclipv3: To- wards versatile generative open-vocabulary object detection

Reference 50

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Observation fe123d0a-b629-4d54-9574-a435d9734cd6 · outbound

This paper cites Semantic conditioned dynamic modulation for tempo- ral sentence grounding in videos.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Semantic conditioned dynamic modulation for tempo- ral sentence grounding in videos

Reference 51

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Observation 8bfbcb11-769e-4293-8ec2-9b0570a481b5 · outbound

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

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Graph con- volutional networks for temporal action localization

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:50:12.421012Z

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Observation e8639064-53de-4d74-991a-83d9d2e4c7cb · outbound

This paper cites Dense regression network for video grounding.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Dense regression network for video grounding

Reference 53

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Observation df438b76-7cb8-466f-9a6c-b5bc4ccfbe76 · outbound

This paper cites Unimd: Towards unifying moment retrieval and temporal ac- tion detection.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Unimd: Towards unifying moment retrieval and temporal ac- tion detection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:50:12.398852Z

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Observation 982e96c6-3a4d-47e7-b8f3-56993819cb5b · outbound

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

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Actionformer: Lo- calizing moments of actions with transformers

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T11:50:12.167717Z

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Observation a5c32f57-678f-4876-9b73-922107083c3f · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T11:50:12.171758Z

Source-reported events for the cited work

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Observation 03f4f722-528f-4aef-af00-43f5aabe29fa · outbound

This paper cites Learning 2d temporal adjacent networks for moment local- ization with natural language.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Learning 2d temporal adjacent networks for moment local- ization with natural language

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:50:12.376418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 60f187a1-fe2d-4004-abd5-18bdc29a4533 · outbound

This paper cites Hacs: Human action clips and segments dataset for recognition and temporal localization.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Hacs: Human action clips and segments dataset for recognition and temporal localization

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:50:12.362814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d25f12e9-52ae-4d3b-b006-57dde7b74ee4 · outbound

This paper cites Distance-iou loss: Faster and bet- ter learning for bounding box regression.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Distance-iou loss: Faster and bet- ter learning for bounding box regression

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:50:12.349016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a39519a1-9e4f-4c62-8deb-c1b9232acb08 · outbound

This paper cites Enriching local and global contexts for temporal action localization.

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection Enriching local and global contexts for temporal action localization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:50:12.334504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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