Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining | Paper Citation Record

Observation 2a9fdea8-0644-4bc1-8d2e-32e8503a0ac4 · outbound

This paper cites Video summarization with long short-term memory.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Video summarization with long short-term memory

Reference 1

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Observation c05ac608-05ea-4735-88f1-254b0cdf2558 · outbound

This paper cites Video summarization using fully convolutional sequence networks.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Video summarization using fully convolutional sequence networks

Reference 2

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Observation 4d120700-fc96-47ba-a985-5a256550041e · outbound

This paper cites Egoexolearn: A dataset for bridging asynchronous ego-and exo-centric view of procedural activities in real world.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Egoexolearn: A dataset for bridging asynchronous ego-and exo-centric view of procedural activities in real world

Reference 3

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Observation 35846bb6-ba86-4488-8f19-9b54e29614c1 · outbound

This paper cites Dual encoding for zero-example video retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Dual encoding for zero-example video retrieval

Reference 4

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Observation 07ecbc59-1a0f-45a2-bad2-cb180c89f465 · outbound

This paper cites Multi-modal transformer for video retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Multi-modal transformer for video retrieval

Reference 5

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Observation 33341392-df84-4359-8312-d7a377208b82 · outbound

This paper cites T2vlad: global-local sequence alignment for text-video retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining T2vlad: global-local sequence alignment for text-video retrieval

Reference 6

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Observation 71d90c8f-530d-4724-a7b6-adff54b75829 · outbound

This paper cites Mutual context network for jointly estimating egocentric gaze and action.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Mutual context network for jointly estimating egocentric gaze and action

Reference 7

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Observation bc2c775f-3add-445a-9a74-13d5542488ba · outbound

This paper cites Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video

Reference 8

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Observation 8a8ed187-fde2-4636-93ec-75ad04689dfa · outbound

This paper cites Predicting gaze in egocentric video by learning task-dependent attention transition.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Predicting gaze in egocentric video by learning task-dependent attention transition

Reference 9

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Observation 0e48ebce-c4a5-4922-b4e7-ed0e05a60e1e · outbound

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

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Tall: Temporal activity localization via language query

Reference 10

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Observation 0ee991dc-6a84-40cc-8022-2b4dcde1d7ad · outbound

This paper cites Boundary proposal network for two-stage natural language video localization.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Boundary proposal network for two-stage natural language video localization

Reference 11

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Observation 70d86978-1349-4460-b51a-dd6d13160a54 · outbound

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

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Univtg: Towards unified video-language temporal grounding

Reference 12

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Observation f6e61de2-ada2-48f6-911b-619bd954951b · outbound

This paper cites Mac: Mining activity concepts for language-based temporal localization.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Mac: Mining activity concepts for language-based temporal localization

Reference 13

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Observation 2f25237b-3baa-4f9a-8529-a801c8f57767 · outbound

This paper cites Learning 2d temporal adjacent networks for moment localization with natural language.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Learning 2d temporal adjacent networks for moment localization with natural language

Reference 14

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Observation 32ff957e-6821-40fd-97ee-f85ce53572c1 · outbound

This paper cites Progressive localization networks for language-based moment localization.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Progressive localization networks for language-based moment localization

Reference 15

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Observation 4ecf493a-3856-43b1-9086-2cb30f44e491 · outbound

This paper cites Weakly supervised temporal sentence grounding with gaussian- based contrastive proposal learning.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Weakly supervised temporal sentence grounding with gaussian- based contrastive proposal learning

Reference 16

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Observation b3bb69ad-c247-4516-9079-c7518e1d6d31 · outbound

This paper cites Gaussian mixture proposals with pull-push learning scheme to capture diverse events for weakly supervised temporal video grounding.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Gaussian mixture proposals with pull-push learning scheme to capture diverse events for weakly supervised temporal video grounding

Reference 17

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Observation 5475a2b6-6672-4d9f-ad59-250d54cae501 · outbound

This paper cites WSLLN: Weakly Supervised Natural Language Localization Networks.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining WSLLN: Weakly Supervised Natural Language Localization Networks

Reference 18

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Observation cf592482-5e5c-40d2-b72e-f50be6c7ac10 · outbound

This paper cites Cross-sentence temporal and semantic relations in video activity localisation.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Cross-sentence temporal and semantic relations in video activity localisation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.936629Z

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Observation 11e99359-6844-4444-9d07-df0780581741 · outbound

This paper cites Logan: Latent graph co-attention network for weakly-supervised video moment IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 12 retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Logan: Latent graph co-attention network for weakly-supervised video moment IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 12 retrieval

Reference 20

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Observation 887434f3-6da3-42a7-b3a3-9348de38bed7 · outbound

This paper cites Weakly- supervised video moment retrieval via semantic completion network.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Weakly- supervised video moment retrieval via semantic completion network

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.913868Z

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Observation 4a5f22f0-2612-4fe9-af5e-57c557b409d3 · outbound

This paper cites Weakly-Supervised Multi-Level Attentional Reconstruction Network for Grounding Textual Queries in Videos.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Weakly-Supervised Multi-Level Attentional Reconstruction Network for Grounding Textual Queries in Videos

Reference 22

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Observation ce00389e-6be6-43fc-b61e-c08e6de72593 · outbound

This paper cites Weakly supervised video moment localization with contrastive negative sample mining.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Weakly supervised video moment localization with contrastive negative sample mining

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.903298Z

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Observation b9e5f90f-3c82-404e-9ec0-b7055b55abd5 · outbound

This paper cites Localizing moments in video with natural language.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Localizing moments in video with natural language

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.892346Z

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Observation 6fa55ff5-edf3-44fe-838b-1e72b855d29e · outbound

This paper cites Cross-modal video moment retrieval with spatial and language-temporal attention.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Cross-modal video moment retrieval with spatial and language-temporal attention

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.881502Z

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Observation bbeffb93-af23-4426-a607-bb3ea489681a · outbound

This paper cites Temporally grounding natural sentence in video.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Temporally grounding natural sentence in video

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.869987Z

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Observation c9cfb7ea-2d00-4a4c-89ee-345c2ffb2432 · outbound

This paper cites Semantic conditioned dynamic modulation for temporal sentence grounding in videos.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Semantic conditioned dynamic modulation for temporal sentence grounding in videos

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.858137Z

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Observation 344336e1-5ee5-4d92-a2a4-2a36a24c19c2 · outbound

This paper cites Multi-modal interaction graph convolutional network for temporal language localization in videos.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Multi-modal interaction graph convolutional network for temporal language localization in videos

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.846724Z

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Observation 03d9e6cc-e400-4ea9-adba-327af52a7bf4 · outbound

This paper cites Thinking inside uncertainty: Interest moment perception for diverse temporal grounding.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Thinking inside uncertainty: Interest moment perception for diverse temporal grounding

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.835789Z

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Observation e5d0b2ab-b697-44ef-91ed-a88f6f37a26b · outbound

This paper cites Camg: Context-aware moment graph network for multimodal temporal activity localization via language.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Camg: Context-aware moment graph network for multimodal temporal activity localization via language

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.824946Z

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Observation d290e369-e395-4b38-9621-3fa7071497d7 · outbound

This paper cites Video moment retrieval via comprehensive relation-aware network.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Video moment retrieval via comprehensive relation-aware network

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.813899Z

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Observation ebc3d1f6-cc3a-4b66-b52a-cfff9377cf98 · outbound

This paper cites Video corpus moment retrieval via deformable multi granularity feature fusion and adversarial training.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Video corpus moment retrieval via deformable multi granularity feature fusion and adversarial training

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.803189Z

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Observation 4ce6beaa-8cf9-4b61-beb7-addf784d2155 · outbound

This paper cites Collaborative debias strategy for temporal sentence grounding in video.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Collaborative debias strategy for temporal sentence grounding in video

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.792693Z

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Observation 896f8d0b-3a49-434d-9160-48697c0d7100 · outbound

This paper cites Uncovering Hidden Challenges in Query-Based Video Moment Retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Uncovering Hidden Challenges in Query-Based Video Moment Retrieval

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:19.814983Z

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Observation 335ccf54-5aaf-45e7-a30a-b8d74f9a8989 · outbound

This paper cites Cola: Weakly-supervised temporal action localization with snippet contrastive learning.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Cola: Weakly-supervised temporal action localization with snippet contrastive learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.781717Z

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Observation 219d6b14-5a4d-4ca5-a7fd-aed636c38a00 · outbound

This paper cites Exploring sub-action granularity for weakly supervised temporal action localization.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Exploring sub-action granularity for weakly supervised temporal action localization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.771002Z

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Observation 7e6eee0c-d984-44b8-b241-d284f89533a0 · outbound

This paper cites Learning proposal-aware re-ranking for weakly- supervised temporal action localization.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Learning proposal-aware re-ranking for weakly- supervised temporal action localization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.759859Z

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Observation 7de543a6-0d46-4872-aa8b-5709f3f809e6 · outbound

This paper cites Cross-video contextual knowledge exploration and exploitation for ambiguity reduction in weakly supervised temporal action localization.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Cross-video contextual knowledge exploration and exploitation for ambiguity reduction in weakly supervised temporal action localization

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.748692Z

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Observation 2b6a5e24-7010-41ae-b950-774ff40aa032 · outbound

This paper cites A snippets relation and hard-snippets mask network for weakly-supervised temporal action localization.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining A snippets relation and hard-snippets mask network for weakly-supervised temporal action localization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.737697Z

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Observation 1cb512e6-a782-41c7-a0da-5e3f28c2c53c · outbound

This paper cites Solve the puzzle of instance segmentation in videos: A weakly supervised framework with spatio-temporal collaboration.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Solve the puzzle of instance segmentation in videos: A weakly supervised framework with spatio-temporal collaboration

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.725294Z

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Observation 3264f0a9-18fb-4ca2-8e1e-925f9c04857a · outbound

This paper cites Weakly supervised video instance segmentation with scale adaptive generation regulation.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Weakly supervised video instance segmentation with scale adaptive generation regulation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.713711Z

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Observation eb918e2b-6e61-42fa-aa97-0db1e0b18c57 · outbound

This paper cites Towards video anomaly detection in the real world: A binarization embedded weakly-supervised network.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Towards video anomaly detection in the real world: A binarization embedded weakly-supervised network

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.702749Z

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Observation 618b355a-8eaa-4bb6-b6ab-e7efbdf99f2f · outbound

This paper cites Vadclip: Adapting vision-language models for weakly supervised video anomaly detection.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Vadclip: Adapting vision-language models for weakly supervised video anomaly detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.691956Z

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Observation 24b2707b-175d-4009-baa5-a7e9fbd11bde · outbound

This paper cites Batchnorm-based weakly supervised video anomaly detection.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Batchnorm-based weakly supervised video anomaly detection

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.680217Z

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Observation 15994ed0-25ca-4868-acd2-f4d5bf5daf42 · outbound

This paper cites Weakly supervised video moment retrieval from text queries.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Weakly supervised video moment retrieval from text queries

Reference 45

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Observation 3440bc77-641c-4965-9d3e-3c44bfa2f263 · outbound

This paper cites Vlanet: Video-language alignment network for weakly-supervised video moment retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Vlanet: Video-language alignment network for weakly-supervised video moment retrieval

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.662653Z

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Observation 8a9781a7-b394-4fcc-9eb6-7bb26042e84d · outbound

This paper cites Weakly supervised temporal sentence grounding with uncertainty-guided self-training.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Weakly supervised temporal sentence grounding with uncertainty-guided self-training

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.652170Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ffc53d2e-3bb1-421c-99b2-3d13087738f2 · outbound

This paper cites Unsupervised hard example mining from videos for improved object detection.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Unsupervised hard example mining from videos for improved object detection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.641437Z

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Observation 89858af6-af6b-4750-be96-209ab2b3420e · outbound

This paper cites Contrastive Learning with Hard Negative Samples.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Contrastive Learning with Hard Negative Samples

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:19.869228Z

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Observation 7a9c0299-9025-4c8a-8176-6320b97c8900 · outbound

This paper cites Video corpus moment retrieval with contrastive learning.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Video corpus moment retrieval with contrastive learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.630037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 149d7d89-edf5-4191-8ae0-107deb44e623 · outbound

This paper cites Selective query-guided debiasing for video corpus moment retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Selective query-guided debiasing for video corpus moment retrieval

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.619524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5da81a9e-69c9-4376-a8d5-1eeb64f58e8f · outbound

This paper cites Counterfactual two-stage debiasing for video corpus moment retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Counterfactual two-stage debiasing for video corpus moment retrieval

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.608778Z

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Observation fe083306-2953-4d21-bc54-b4cf8c68f876 · outbound

This paper cites Curriculum multi-negative augmentation for debiased video grounding.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Curriculum multi-negative augmentation for debiased video grounding

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.597175Z

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Observation f08840e4-c1d1-4857-8ee2-39d8d74310d0 · outbound

This paper cites Bias-conflict sample synthesis and adversarial removal debias strategy for temporal sentence grounding in video.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Bias-conflict sample synthesis and adversarial removal debias strategy for temporal sentence grounding in video

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.586147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2c8e9d6-8405-4c3c-ac99-5bafd66f98f4 · outbound

This paper cites Learnable negative proposals using dual-signed cross-entropy loss for weakly supervised video moment localization.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Learnable negative proposals using dual-signed cross-entropy loss for weakly supervised video moment localization

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.575041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 970a30a0-baee-4f3d-b879-c5fb7fcbf4ef · outbound

This paper cites Contextual similarity distillation for asymmetric image retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Contextual similarity distillation for asymmetric image retrieval

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.564459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb33f60b-9589-4f2a-96dc-8228a97bc9e2 · outbound

This paper cites Ames: Asymmetric and memory-efficient similarity estimation for instance-level retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Ames: Asymmetric and memory-efficient similarity estimation for instance-level retrieval

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.553662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 48b0ec08-019c-410a-b8e9-77499a9cf2b2 · outbound

This paper cites D3still: Decoupled differential distillation for IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 13 asymmetric image retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining D3still: Decoupled differential distillation for IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 13 asymmetric image retrieval

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.541067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ac88705-f153-422e-bf6a-82bf7247e4e8 · outbound

This paper cites Domain adaptation by constraining inter-domain variability of latent feature representation.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Domain adaptation by constraining inter-domain variability of latent feature representation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.529923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2878e0a0-7691-4098-9b04-b04e529d13e7 · outbound

This paper cites Exploiting inter-sample affinity for knowability-aware universal domain adaptation.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Exploiting inter-sample affinity for knowability-aware universal domain adaptation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.518463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a840d690-32ec-43a0-bd48-9c6909e6b3b7 · outbound

This paper cites Mining inter-video proposal relations for video object detection.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Mining inter-video proposal relations for video object detection

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.506595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb8bf427-649d-430d-85f6-a1fc1e2e7fe2 · outbound

This paper cites Imc- det: Intra–inter modality contrastive learning for video object detection.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Imc- det: Intra–inter modality contrastive learning for video object detection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.494911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a705531-fb85-41f1-a9c7-95b2b0d9a686 · outbound

This paper cites Attention is all you need.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Attention is all you need

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:19.921774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34d91ec7-8161-433a-bc3e-7e5a1b606598 · outbound

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

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Learning spatiotemporal features with 3d convolutional networks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:19.925344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 643042b8-3a5d-499b-849d-f1e13cc517bb · outbound

This paper cites Glove: Global vectors for word representation.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Glove: Global vectors for word representation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.468032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 325488be-9b22-4eb5-aba9-10356ae214d4 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:19.932548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b2202e-7151-401d-83f8-781a14b6c0d1 · outbound

This paper cites Dense-captioning events in videos.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Dense-captioning events in videos

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.448977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b5f6e7b-f8e4-4956-b22e-f48d609f706f · outbound

This paper cites Can i trust your answer? visually grounded video question answering.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Can i trust your answer? visually grounded video question answering

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.438350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0304d4f1-a88a-4c41-b91f-667ca9014b85 · outbound

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

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Quo vadis, action recognition? a new model and the kinetics dataset

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.427536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3e7adf4-078f-4dd3-a472-f685746e80cf · outbound

This paper cites Revisiting the" video" in video-language understanding.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Revisiting the" video" in video-language understanding

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.416645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b411558-8d9e-4ac8-9fb0-66be5580f1c4 · outbound

This paper cites Zero-shot video question answering via frozen bidirectional language models.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Zero-shot video question answering via frozen bidirectional language models

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.405017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b7bee19f-a9d6-4415-bcd6-9887b201c1bc · outbound

This paper cites Weakly supervised temporal adjacent network for language grounding.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Weakly supervised temporal adjacent network for language grounding

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.393475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96918027-900f-49c0-bf59-eb40fc637cd9 · outbound

This paper cites Reinforcement learning for weakly supervised temporal grounding of natural language in untrimmed videos.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Reinforcement learning for weakly supervised temporal grounding of natural language in untrimmed videos

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.382337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d581b098-0427-451f-ac73-107b7df7c901 · outbound

This paper cites Counterfactual contrastive learning for weakly-supervised vision-language grounding.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Counterfactual contrastive learning for weakly-supervised vision-language grounding

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.369993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 54067aa4-07b7-4443-a898-8e85e1064ab5 · outbound

This paper cites Regularized two-branch proposal networks for weakly-supervised moment retrieval in videos.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Regularized two-branch proposal networks for weakly-supervised moment retrieval in videos

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.358746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation abe4be8a-3fa3-4bcb-855e-bc106c07f576 · outbound

This paper cites Visual co-occurrence alignment learning for weakly-supervised video moment retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Visual co-occurrence alignment learning for weakly-supervised video moment retrieval

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.345920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7935f0c9-5e6c-4147-95c0-963d1cfbb8a1 · outbound

This paper cites Local correspondence network for weakly supervised temporal sentence grounding.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Local correspondence network for weakly supervised temporal sentence grounding

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.333119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad9a5107-7ac0-4f5a-b405-d74d293f050b · outbound

This paper cites Explore inter- contrast between videos via composition for weakly supervised temporal sentence grounding.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Explore inter- contrast between videos via composition for weakly supervised temporal sentence grounding

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.320700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed3e6f22-0b46-490c-8477-eaed0677603e · outbound

This paper cites Dynamic contrastive learning with pseudo-samples intervention for weakly supervised joint video mr and hd.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Dynamic contrastive learning with pseudo-samples intervention for weakly supervised joint video mr and hd

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.306332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 21b5e737-1f67-4cec-a1b8-42a8e461281b · outbound

This paper cites Counterfactual cross-modality reasoning for weakly supervised video moment localization.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Counterfactual cross-modality reasoning for weakly supervised video moment localization

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.294687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4e82e30-c6b2-4890-95ce-4f5cb67f8131 · outbound

This paper cites Scanet: Scene complexity aware network for weakly-supervised video moment retrieval.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Scanet: Scene complexity aware network for weakly-supervised video moment retrieval

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.283182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28fde601-d8f7-4fbc-a635-2f75245b1381 · outbound

This paper cites Omnipotent distillation with llms for weakly- supervised natural language video localization: When divergence meets consistency.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Omnipotent distillation with llms for weakly- supervised natural language video localization: When divergence meets consistency

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.271532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7908f722-4948-4fc5-80f2-eb6493d73e45 · outbound

This paper cites Local-global multi-modal distillation for weakly-supervised temporal video grounding.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Local-global multi-modal distillation for weakly-supervised temporal video grounding

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.260219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 05623014-2435-4f94-93ee-da20808d0205 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Swin transformer: Hierarchical vision transformer using shifted windows

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:20.001159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 686ce1de-e499-49bb-974e-2da524ae188a · outbound

This paper cites Learning transferable visual models from natural language supervision.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Learning transferable visual models from natural language supervision

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:20.004978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 416b530e-22d5-46ff-87bf-9439998500ae · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:20.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4cfb65f-3895-4343-9edd-552fffb88ec2 · outbound

This paper cites Gpt-4 technical report.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Gpt-4 technical report

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:20.012289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b24a125d-84da-472d-90fb-ac47ef9235fd · outbound

This paper cites Video graph transformer for video question answering.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Video graph transformer for video question answering

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.220452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab7800b2-1a36-4d0e-b8ad-0f70589be518 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.208954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a310cc85-523b-415a-8fe0-70d718011f08 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:20.023267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f2386d-ec4e-4133-8838-d27ee202579c · outbound

This paper cites An empirical study of end-to-end video- language transformers with masked visual modeling.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining An empirical study of end-to-end video- language transformers with masked visual modeling

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.197067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 487f9db1-acfd-49e1-b854-d87899b7d05a · outbound

This paper cites Video swin transformer.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Video swin transformer

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.183931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 46d8acbe-9cf4-415d-8536-cce0ddccb539 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:20.036070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1de9da1-8a41-4052-acd5-8b5cc605d58d · outbound

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

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:20.039918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c689d7-8bc2-4a67-a0f7-7d6ec7e8cf44 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:20.043878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2458d1d-7c91-42b1-bc92-2181972fac9a · outbound

This paper cites Visualizing data using t-sne.

Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining Visualizing data using t-sne

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:43:20.169778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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