Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection | Paper Citation Record

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This paper cites Bridg- ing the gap between object and image-level representations for open-vocabulary detection.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Bridg- ing the gap between object and image-level representations for open-vocabulary detection

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection End- to-end object detection with transformers

Reference 2

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This paper cites Emerg- ing properties in self-supervised vision transformers.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Emerg- ing properties in self-supervised vision transformers

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This paper cites Generic attention- model explainability for interpreting bi-modal and encoder- decoder transformers.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Generic attention- model explainability for interpreting bi-modal and encoder- decoder transformers

Reference 4

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This paper cites CycleACR: Cycle Modeling of Actor-Context Relations for Video Action Detection.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection CycleACR: Cycle Modeling of Actor-Context Relations for Video Action Detection

Reference 5

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This paper cites Efficient video action detection with token dropout and context refinement.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Efficient video action detection with token dropout and context refinement

Reference 6

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This paper cites Watch only once: An end-to-end video action detection framework.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Watch only once: An end-to-end video action detection framework

Reference 7

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This paper cites Gabriellav2: Towards better generalization in surveillance videos for ac- tion detection.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Gabriellav2: Towards better generalization in surveillance videos for ac- tion detection

Reference 8

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This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 9

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This paper cites Learning to prompt for open-vocabulary ob- ject detection with vision-language model.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Learning to prompt for open-vocabulary ob- ject detection with vision-language model

Reference 10

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Observation fbd0b121-fc8f-4d39-82ed-b4a83da6c90e · outbound

This paper cites Holistic interaction transformer network for action detection.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Holistic interaction transformer network for action detection

Reference 11

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection X3d: Expanding architectures for efficient video recognition

Reference 12

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Slowfast networks for video recognition

Reference 13

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This paper cites Clip-adapter: Better vision-language models with feature adapters.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Clip-adapter: Better vision-language models with feature adapters

Reference 14

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This paper cites Adamixer: A fast-converging query-based object detector.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Adamixer: A fast-converging query-based object detector

Reference 15

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This paper cites Video action transformer network.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Video action transformer network

Reference 16

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This paper cites Ava: A video dataset of spatio-temporally localized atomic visual actions.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Ava: A video dataset of spatio-temporally localized atomic visual actions

Reference 17

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This paper cites Mask r-cnn.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Mask r-cnn

Reference 18

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Mask r-cnn

Reference 19

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This paper cites Interaction-aware prompting for zero-shot spatio-temporal action detection.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Interaction-aware prompting for zero-shot spatio-temporal action detection

Reference 20

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This paper cites Towards understanding ac- tion recognition.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Towards understanding ac- tion recognition

Reference 21

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

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Prompting visual-language models for efficient video understanding

Reference 22

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

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Prompting visual-language models for efficient video understanding

Reference 23

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This paper cites Action tubelet detector for spatio- temporal action localization.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Action tubelet detector for spatio- temporal action localization

Reference 24

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This paper cites Region- aware pretraining for open-vocabulary object detection with vision transformers.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Region- aware pretraining for open-vocabulary object detection with vision transformers

Reference 25

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This paper cites You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization

Reference 26

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This paper cites F-vlm: Open-vocabulary object detection upon frozen vision and language models.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection F-vlm: Open-vocabulary object detection upon frozen vision and language models

Reference 27

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This paper cites Multisports: A multi-person video dataset of spatio-temporally localized sports actions.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Multisports: A multi-person video dataset of spatio-temporally localized sports actions

Reference 28

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This paper cites Exploring plain vision transformer backbones for object de- tection.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Exploring plain vision transformer backbones for object de- tection

Reference 29

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This paper cites A Closer Look at the Explainability of Contrastive Language-Image Pre-training.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection A Closer Look at the Explainability of Contrastive Language-Image Pre-training

Reference 31

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Exploring Visual Interpretability for Contrastive Language-Image Pre-training

Reference 33

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Open-vocabulary semantic segmentation with mask-adapted clip

Reference 34

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Learning object-language alignments for open-vocabulary object de- tection

Reference 35

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Frozen clip models are efficient video learners

Reference 36

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Revisiting temporal modeling for clip-based image-to-video knowledge transferring

Reference 37

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Revisiting temporal modeling for clip-based image-to-video knowledge transferring

Reference 38

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 40

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Decoupled weight decay regularization

Reference 41

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Verbs in action: Improv- ing verb understanding in video-language models

Reference 42

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Zero-shot temporal action detection via vision-language prompting

Reference 43

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Zero-shot temporal action detection via vision-language prompting

Reference 44

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Expanding language-image pretrained models for gen- eral video recognition

Reference 45

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Expanding language-image pretrained models for gen- eral video recognition

Reference 46

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection GPT-4 Technical Report

Reference 48

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Actor-context-actor relation net- work for spatio-temporal action localization

Reference 49

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection St-adapter: Parameter-efficient image-to-video transfer learning

Reference 50

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Learn- ing transferable visual models from natural language super- vision

Reference 51

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Learn- ing transferable visual models from natural language super- vision

Reference 52

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Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Fine-tuned clip models are efficient video learners

Reference 53

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This paper cites Open-vocabulary temporal action detection with off-the-shelf image-text features.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Open-vocabulary temporal action detection with off-the-shelf image-text features

Reference 55

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This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 56

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This paper cites Generalized in- tersection over union: A metric and a loss for bounding box regression.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Generalized in- tersection over union: A metric and a loss for bounding box regression

Reference 57

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This paper cites Sparse DETR: Efficient end-to-end object detec- tion with learnable sparsity.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Sparse DETR: Efficient end-to-end object detec- tion with learnable sparsity

Reference 58

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Observation f93e6906-a7cc-4ba2-9da8-4af4973beca9 · outbound

This paper cites Hi- era: A hierarchical vision transformer without the bells-and- whistles.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Hi- era: A hierarchical vision transformer without the bells-and- whistles

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.726724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91d9c389-3853-478b-9aa6-f4b0d78c39f5 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.703196Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5bdd13fe-1598-41bc-b9a9-e7c8978c548c · outbound

This paper cites Road: The road event awareness dataset for autonomous driving.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Road: The road event awareness dataset for autonomous driving

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.688783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c60eda70-48eb-4399-bea5-d0e95325d959 · outbound

This paper cites Ucf101: A dataset of 101 human actions classes from videos in the wild.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Ucf101: A dataset of 101 human actions classes from videos in the wild

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.670972Z

Source-reported events for the cited work

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Observation 9e8d9b78-66a6-4176-b7c2-12f4eb1c56f1 · outbound

This paper cites Actor-centric relation network.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Actor-centric relation network

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.654926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6691d63-bfe3-4569-b800-587c8c19d26e · outbound

This paper cites Relational action forecasting.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Relational action forecasting

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.620142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2d2becb4-77a4-4488-9e45-fb5cf60f330a · outbound

This paper cites Sparse r-cnn: End-to-end object detec- tion with learnable proposals.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Sparse r-cnn: End-to-end object detec- tion with learnable proposals

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.596591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3b7da0b-fc8a-4876-8656-6f785bd2d0ec · outbound

This paper cites Asynchronous interaction aggregation for action detection.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Asynchronous interaction aggregation for action detection

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.576476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b3ac7e4-8a5e-4709-a9a6-a0f99214bebb · outbound

This paper cites Mlp-mixer: An all-mlp architecture for vision.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Mlp-mixer: An all-mlp architecture for vision

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.558998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4ded328-8ca6-40d1-8e5d-ea4b27506309 · outbound

This paper cites Attention is all you need.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Attention is all you need

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.540707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2862efa0-b746-4ef8-8848-e4580b94e97a · outbound

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

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection ActionCLIP: A New Paradigm for Video Action Recognition

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T19:14:34.333164Z

Source-reported events for the cited work

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Observation cef25c1c-96cf-4f48-a3cf-a785f982f251 · outbound

This paper cites Vita-clip: Video and text adaptive clip via multimodal prompting.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Vita-clip: Video and text adaptive clip via multimodal prompting

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.501357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 49b02c60-0397-4add-bb39-60f46e93c4b0 · outbound

This paper cites Open-vclip: Transforming clip to an open-vocabulary video model via interpolated weight optimization.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Open-vclip: Transforming clip to an open-vocabulary video model via interpolated weight optimization

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.477256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22930374-aaaa-4cb5-bc82-56616bdefd0b · outbound

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

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Long-term feature banks for detailed video understanding

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.460235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81150c78-644c-49be-82a4-af4bbc0f6241 · outbound

This paper cites Context-aware rcnn: A baseline for ac- tion detection in videos.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Context-aware rcnn: A baseline for ac- tion detection in videos

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.442768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fa01248c-5077-4de8-8e0e-ca3bf8273f72 · outbound

This paper cites Towards Open Vocabulary Learning: A Survey.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Towards Open Vocabulary Learning: A Survey

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T19:14:34.355336Z

Source-reported events for the cited work

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Observation 512e006d-b5fa-4039-8c0f-5ce3411677e8 · outbound

This paper cites Stmixer: A one-stage sparse action detector.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Stmixer: A one-stage sparse action detector

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.425422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ed96869-fb21-4314-ad30-5ee6828fb25e · outbound

This paper cites Stmixer: A one-stage sparse action detector.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Stmixer: A one-stage sparse action detector

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.405882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6228390b-7bcb-49f7-b9e7-eb4aeaf4a8f0 · outbound

This paper cites Open-Vocabulary Spatio-Temporal Action Detection.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Open-Vocabulary Spatio-Temporal Action Detection

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T19:14:34.369317Z

Source-reported events for the cited work

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Observation a450ad62-ef08-4428-a427-86f9125e5f3a · outbound

This paper cites Cora: Adapting clip for open-vocabulary detection with region prompting and anchor pre-matching.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Cora: Adapting clip for open-vocabulary detection with region prompting and anchor pre-matching

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.390028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a15141a-cc08-4019-9d1f-55152793a02b · outbound

This paper cites Clip-vip: Adapting pre- trained image-text model to video-language representation alignment.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Clip-vip: Adapting pre- trained image-text model to video-language representation alignment

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.375890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5576a9a8-ab22-4929-9de9-141a61b7f618 · outbound

This paper cites Clip-vip: Adapting pre- trained image-text model to video-language representation alignment.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Clip-vip: Adapting pre- trained image-text model to video-language representation alignment

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.359394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1dde812-30d6-474c-a4db-8f8112fc3d92 · outbound

This paper cites Unloc: A unified framework for video localization tasks.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Unloc: A unified framework for video localization tasks

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.342125Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6a60e58f-1d3a-480f-ad50-8620f40144e3 · outbound

This paper cites Detecting human actions in surveillance videos.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Detecting human actions in surveillance videos

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.323223Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee6e3520-08f2-4373-9558-c55e4b34417c · outbound

This paper cites Contextualized spatio-temporal contrastive learning with self-supervision.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Contextualized spatio-temporal contrastive learning with self-supervision

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.286810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1a35debf-220f-4151-9dcf-e3d2c372e435 · outbound

This paper cites Vision-based garbage dumping action detection for real-world surveillance platform.ETRI Journal, 41(4):494–505, 2019.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Vision-based garbage dumping action detection for real-world surveillance platform.ETRI Journal, 41(4):494–505, 2019

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.259768Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba00c246-766c-4df0-9b77-2e412d624b1c · outbound

This paper cites Open-vocabulary detr with conditional matching.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Open-vocabulary detr with conditional matching

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.227399Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 778c0bbe-b2f3-4369-b6e5-55093f7d3d82 · outbound

This paper cites Open-vocabulary object detection using captions.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Open-vocabulary object detection using captions

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.195512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c3229a69-53c5-4c6a-b995-cd6e3a770985 · outbound

This paper cites Open-vocabulary object detection using captions.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Open-vocabulary object detection using captions

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.168723Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f94dff5c-4afc-40ef-b6f8-8bf85f6e1a47 · outbound

This paper cites From recognition to cognition: Visual commonsense reason- ing.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection From recognition to cognition: Visual commonsense reason- ing

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.139140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2e45b16-72d3-4443-9478-a1e903d3ec23 · outbound

This paper cites Vinvl: Revisiting visual representations in vision-language models.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Vinvl: Revisiting visual representations in vision-language models

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.089742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2316d72b-c42a-4441-a29f-faeed5df7917 · outbound

This paper cites Tuber: Tubelet transformer for video action detection.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Tuber: Tubelet transformer for video action detection

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.065261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb604aaf-58c5-40a6-8b26-0a72517c0866 · outbound

This paper cites MRSN: Multi-Relation Support Network for Video Action Detection.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection MRSN: Multi-Relation Support Network for Video Action Detection

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:14:34.558149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bf65d351-a680-4c7c-a476-f51acb3f9e45 · outbound

This paper cites Regionclip: Region-based language-image pretraining.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Regionclip: Region-based language-image pretraining

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.040683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8f0230f2-e4ce-4cdc-98e5-cc72b0593fee · outbound

This paper cites Learning deep features for discrimi- native localization.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Learning deep features for discrimi- native localization

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:35.005673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2a8ecf9d-e5b1-4f1f-9cea-074b3d180b78 · outbound

This paper cites Learning to prompt for vision-language models.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Learning to prompt for vision-language models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T19:14:34.482606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d972e5f-770b-48e3-93a5-930a182a96a3 · outbound

This paper cites Zegclip: Towards adapting clip for zero-shot se- mantic segmentation.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection Zegclip: Towards adapting clip for zero-shot se- mantic segmentation

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-12T19:14:34.487802Z

Source-reported events for the cited work

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Observation 6347dfc0-d29f-4afe-915d-746364a3c506 · outbound

This paper cites For the action type {CLS}, what are the visual descriptions? Please respond with a list of 16 short sentences.

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection For the action type {CLS}, what are the visual descriptions? Please respond with a list of 16 short sentences

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:14:34.950581Z

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