VoCap: Video Object Captioning and Segmentation from Any Prompt | Paper Citation Record

Observation 9177577e-76bf-47c2-b879-04cb54ee956f · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

VoCap: Video Object Captioning and Segmentation from Any Prompt Flamingo: a visual language model for few-shot learning

Reference 1

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Observation 4b28fbf4-cae5-49e4-b130-0ecb18ca97cd · outbound

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

VoCap: Video Object Captioning and Segmentation from Any Prompt Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:15.746526Z

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Observation 0e08dbdd-2edc-4f41-bce3-00a182780fd5 · outbound

This paper cites Context r-cnn: Long term temporal context for per-camera object detection.

VoCap: Video Object Captioning and Segmentation from Any Prompt Context r-cnn: Long term temporal context for per-camera object detection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:15.824077Z

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Observation 2874a56a-9b25-4054-b70e-13bcec7da245 · outbound

This paper cites JAX: composable transformations of Python+NumPy programs, 2018.

VoCap: Video Object Captioning and Segmentation from Any Prompt JAX: composable transformations of Python+NumPy programs, 2018

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:15.880769Z

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Observation 1f439b7b-b054-4b52-8a43-5bb14697f2f5 · outbound

This paper cites The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:15.973996Z

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Observation 1d125a6c-7184-413c-8e2a-93cdfe3cb89e · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

VoCap: Video Object Captioning and Segmentation from Any Prompt nuscenes: A multimodal dataset for autonomous driving

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.063128Z

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Observation df8eea38-b958-46b0-88d4-aedcbe49966f · outbound

This paper cites Stablevideo: Text-driven consistency-aware diffusion video editing.

VoCap: Video Object Captioning and Segmentation from Any Prompt Stablevideo: Text-driven consistency-aware diffusion video editing

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.133523Z

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Observation 7b95b0c0-f4fe-4c59-9daf-220cedfc8e0e · outbound

This paper cites PaLI: A Jointly-Scaled Multilingual Language-Image Model.

VoCap: Video Object Captioning and Segmentation from Any Prompt PaLI: A Jointly-Scaled Multilingual Language-Image Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.184646Z

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Observation b58a7584-aef2-4cc0-8aa1-b51c705e54b3 · outbound

This paper cites Per-pixel classification is not all you need for semantic segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Per-pixel classification is not all you need for semantic segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.263063Z

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Observation c1e9961d-3d4b-4c70-bf9a-e5c47ce592f4 · outbound

This paper cites Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model.

VoCap: Video Object Captioning and Segmentation from Any Prompt Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.348008Z

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Observation fd00fb5a-7009-4953-9119-15a1db801fea · outbound

This paper cites Putting the object back into video object segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Putting the object back into video object segmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.434138Z

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Observation d3d34e96-2a6a-4207-a531-14fd3f85fee9 · outbound

This paper cites Segment and Track Anything.

VoCap: Video Object Captioning and Segmentation from Any Prompt Segment and Track Anything

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.517409Z

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Observation 59ef5bd6-536b-4f9c-a433-c3cbf1968cd2 · outbound

This paper cites Find first, track next: Decoupling identification and propagation in referring video object segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Find first, track next: Decoupling identification and propagation in referring video object segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.597953Z

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Observation b6eb5932-be1c-44b8-927a-9f6c338c64f2 · outbound

This paper cites Ow-viscaptor: Abstractors for open-world video instance segmentation and captioning.

VoCap: Video Object Captioning and Segmentation from Any Prompt Ow-viscaptor: Abstractors for open-world video instance segmentation and captioning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.689430Z

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Observation 721f38f1-5d3f-41d8-88f2-94a18394aa17 · outbound

This paper cites Scenic: A jax library for computer vision research and beyond.

VoCap: Video Object Captioning and Segmentation from Any Prompt Scenic: A jax library for computer vision research and beyond

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.748592Z

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Observation 16a7ea64-fec1-4e92-9025-369d3f0ecf66 · outbound

This paper cites Memsam: Taming segment anything model for echocardiography video segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Memsam: Taming segment anything model for echocardiography video segmentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.827030Z

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Observation 508e5e38-71f8-4802-a7f4-7bda04a4eca4 · outbound

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

VoCap: Video Object Captioning and Segmentation from Any Prompt Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.886981Z

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Observation 45a4fb90-4416-4353-bf32-56a713abf84c · outbound

This paper cites Mevis: A large-scale benchmark for video segmentation with motion expressions.

VoCap: Video Object Captioning and Segmentation from Any Prompt Mevis: A large-scale benchmark for video segmentation with motion expressions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:16.961237Z

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Observation 00dd6e78-bbe7-4fe8-9136-235ab55110a5 · outbound

This paper cites MOSE: A new dataset for video object segmentation in complex scenes.

VoCap: Video Object Captioning and Segmentation from Any Prompt MOSE: A new dataset for video object segmentation in complex scenes

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.022115Z

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Observation f67cbf05-cbd4-482f-920d-67c153d78ab6 · outbound

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

VoCap: Video Object Captioning and Segmentation from Any Prompt An image is worth 16x16 words: Transformers for image recognition at scale

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.098094Z

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Observation 6747a0f9-37f7-4fcf-9395-2915513161f3 · outbound

This paper cites EVA-02: A Visual Representation for Neon Genesis.

VoCap: Video Object Captioning and Segmentation from Any Prompt EVA-02: A Visual Representation for Neon Genesis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.183470Z

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Observation 5b629c41-94ce-44c9-8d93-a6c4abe62451 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

VoCap: Video Object Captioning and Segmentation from Any Prompt Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.239917Z

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Observation 0b8176bb-ec41-460f-a59b-d8711ef0de9e · outbound

This paper cites VideoSAM: Open-World Video Segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt VideoSAM: Open-World Video Segmentation

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:01:18.703058Z

Source-reported events for the cited work

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Observation 6d7c230e-35c5-4568-906a-76a94457ba27 · outbound

This paper cites Masked autoencoders are scalable vision learners.

VoCap: Video Object Captioning and Segmentation from Any Prompt Masked autoencoders are scalable vision learners

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.366945Z

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Observation 6702ecee-8c0c-42ba-a0f7-6d2634eee613 · outbound

This paper cites Decoupling static and hierarchical motion perception for referring video segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Decoupling static and hierarchical motion perception for referring video segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.448996Z

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Observation 1c6717fd-d5db-4a7e-a5e3-b13941ee6882 · outbound

This paper cites Instruct-imagen: Image generation with multi-modal instruction.

VoCap: Video Object Captioning and Segmentation from Any Prompt Instruct-imagen: Image generation with multi-modal instruction

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.502682Z

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Observation 259459b1-63b5-4526-a464-f708dd6b1677 · outbound

This paper cites Segment and caption anything.

VoCap: Video Object Captioning and Segmentation from Any Prompt Segment and caption anything

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.553355Z

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Observation 33d9da2d-f6c1-4ba2-b1bf-fd554fb63942 · outbound

This paper cites A better use of audio-visual cues: Dense video captioning with bi-modal transformer.

VoCap: Video Object Captioning and Segmentation from Any Prompt A better use of audio-visual cues: Dense video captioning with bi-modal transformer

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.587039Z

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Observation 81b991e6-60d9-40a5-ba43-cdb91bcaa6b7 · outbound

This paper cites Perceiver: General perception with iterative attention.

VoCap: Video Object Captioning and Segmentation from Any Prompt Perceiver: General perception with iterative attention

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.595806Z

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Observation 075a4d78-04a8-40e2-b57e-23de063ff4f5 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

VoCap: Video Object Captioning and Segmentation from Any Prompt Scaling up visual and vision-language representation learning with noisy text supervision

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.602222Z

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Observation 6c3529bb-aa1e-468e-8f57-7a1d95d60664 · outbound

This paper cites Densecap: Fully convolutional localization networks for dense captioning.

VoCap: Video Object Captioning and Segmentation from Any Prompt Densecap: Fully convolutional localization networks for dense captioning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.610712Z

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Observation c77ef26a-3202-4983-88b7-8ebf93db0f22 · outbound

This paper cites Kanani, Sriparna Saha, and Pushpak Bhattacharyya.

VoCap: Video Object Captioning and Segmentation from Any Prompt Kanani, Sriparna Saha, and Pushpak Bhattacharyya

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.621165Z

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Observation 2069cbfc-56f4-47ec-9832-55555d20f88a · outbound

This paper cites Video object segmentation with language referring expressions.

VoCap: Video Object Captioning and Segmentation from Any Prompt Video object segmentation with language referring expressions

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.627534Z

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Observation a6c63d63-bd18-4096-8acf-48f1bf76e627 · outbound

This paper cites Video panoptic segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Video panoptic segmentation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.633229Z

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Observation c0e447a3-09f0-47d3-88bc-0a9aaaa470be · outbound

This paper cites Segment anything.

VoCap: Video Object Captioning and Segmentation from Any Prompt Segment anything

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.639259Z

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Observation f4ff2a8b-c79d-417b-8f09-65ed0a8c227c · outbound

This paper cites Dense-captioning events in videos.

VoCap: Video Object Captioning and Segmentation from Any Prompt Dense-captioning events in videos

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.644666Z

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Observation eac9522b-363c-4045-8bff-59058700cd60 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

VoCap: Video Object Captioning and Segmentation from Any Prompt Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.541463Z

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Observation 02709fa6-6806-4d60-91e0-406cdbac60d9 · outbound

This paper cites Bidirectional Correlation-Driven Inter-Frame Interaction Transformer for Referring Video Object Segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Bidirectional Correlation-Driven Inter-Frame Interaction Transformer for Referring Video Object Segmentation

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:01:18.655013Z

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Observation e5c2ef69-ed6d-4bd2-a648-46efa7d3c36b · outbound

This paper cites Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks.

VoCap: Video Object Captioning and Segmentation from Any Prompt Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.521097Z

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

Observation 88920aa7-0cda-42af-9c7d-dc9954f24fbd · outbound

This paper cites Blip-2: Bootstrapping language-image pre- training with frozen image encoders and large language models.

VoCap: Video Object Captioning and Segmentation from Any Prompt Blip-2: Bootstrapping language-image pre- training with frozen image encoders and large language models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.489542Z

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

Observation 0aad7dbe-5ff1-4662-80ab-fe44c90c0184 · outbound

This paper cites Learning object context for dense captioning.

VoCap: Video Object Captioning and Segmentation from Any Prompt Learning object context for dense captioning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.461200Z

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Observation d712224b-a72a-4e4a-8f3e-a0bfed0eaa41 · outbound

This paper cites Exploring plain vision transformer backbones for object detection.

VoCap: Video Object Captioning and Segmentation from Any Prompt Exploring plain vision transformer backbones for object detection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.438111Z

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Observation 0a7bcacd-eeb5-4fb0-93e9-c08967baec2c · outbound

This paper cites Beyond mot: Semantic multi-object tracking.

VoCap: Video Object Captioning and Segmentation from Any Prompt Beyond mot: Semantic multi-object tracking

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.401508Z

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Observation b819030b-abb2-474b-a43c-1fdb5303f7b7 · outbound

This paper cites Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want.

VoCap: Video Object Captioning and Segmentation from Any Prompt Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.690922Z

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Observation c5e05588-bf31-435b-ac20-27d2e85eb79f · outbound

This paper cites Visual instruction tuning.

VoCap: Video Object Captioning and Segmentation from Any Prompt Visual instruction tuning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.696125Z

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Observation 209ca39c-956b-4d91-a462-2f5cd2b9b926 · outbound

This paper cites Image segmentation using text and image prompts.

VoCap: Video Object Captioning and Segmentation from Any Prompt Image segmentation using text and image prompts

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.337607Z

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Observation ac956e77-cd96-456a-bf9d-d075ed517381 · outbound

This paper cites Soc: Semantic-assisted object cluster for referring video object segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Soc: Semantic-assisted object cluster for referring video object segmentation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.311031Z

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Observation 1b214c00-92d9-4c56-820f-076d44c8e8f8 · outbound

This paper cites Generation and comprehension of unambiguous object descriptions.

VoCap: Video Object Captioning and Segmentation from Any Prompt Generation and comprehension of unambiguous object descriptions

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.285378Z

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Observation 97fb6b6c-8501-423f-9c11-619ec0520100 · outbound

This paper cites Scaling open-vocabulary object detection.

VoCap: Video Object Captioning and Segmentation from Any Prompt Scaling open-vocabulary object detection

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.257724Z

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Observation c0e9d8b2-f9da-4f7d-a238-3d5f21ac534c · outbound

This paper cites Pivot: Iterative visual prompting elicits actionable knowledge for vlms.

VoCap: Video Object Captioning and Segmentation from Any Prompt Pivot: Iterative visual prompting elicits actionable knowledge for vlms

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.226009Z

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Observation e8613517-5df2-446e-b494-aa657ac9f9a4 · outbound

This paper cites Gpt-4v(ision) technical work and authors.

VoCap: Video Object Captioning and Segmentation from Any Prompt Gpt-4v(ision) technical work and authors

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.186781Z

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Observation c99daecb-c971-4c8e-b2cf-4124212af177 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

VoCap: Video Object Captioning and Segmentation from Any Prompt Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.740311Z

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Observation 2a349ecd-bd05-47ae-9458-a62320139450 · outbound

This paper cites Perazzi, J.

VoCap: Video Object Captioning and Segmentation from Any Prompt Perazzi, J

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.151456Z

Source-reported events for the cited work

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Observation 047b2d75-2e1b-4597-8ec3-1352b02d854f · outbound

This paper cites Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models.

VoCap: Video Object Captioning and Segmentation from Any Prompt Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.128513Z

Source-reported events for the cited work

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Observation daf5929b-7733-4dd7-b7d2-2f9781d1fcf8 · outbound

This paper cites Connecting vision and language with localized narratives.

VoCap: Video Object Captioning and Segmentation from Any Prompt Connecting vision and language with localized narratives

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.769767Z

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VoCap: Video Object Captioning and Segmentation from Any Prompt Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:01:20.087763Z

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Observation 00934094-f590-4efc-8065-b9b4418ece4c · outbound

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

VoCap: Video Object Captioning and Segmentation from Any Prompt Learning transferable visual models from natural language supervision

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.059637Z

Source-reported events for the cited work

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Observation 67b91da0-785f-4eaf-a0f7-61732255d9dd · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

VoCap: Video Object Captioning and Segmentation from Any Prompt Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.790907Z

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Unavailable: canonical work link unavailable.

Observation 015ba149-0ab4-47dd-a96f-453410770f6f · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

VoCap: Video Object Captioning and Segmentation from Any Prompt SAM 2: Segment Anything in Images and Videos

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.799150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 298b0a5c-55b7-446e-9eec-1bfdfe473786 · outbound

This paper cites Youtube- boundingboxes: A large high-precision human-annotated data set for object detection in video.

VoCap: Video Object Captioning and Segmentation from Any Prompt Youtube- boundingboxes: A large high-precision human-annotated data set for object detection in video

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:20.007307Z

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 d1f04666-ef6f-4fd3-b188-1f2075ce5503 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt U-net: Convolutional networks for biomedical image segmentation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.812043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c89d1ec-60f0-4ec5-8062-292d5eefe26a · outbound

This paper cites Berg, and Li Fei-Fei.

VoCap: Video Object Captioning and Segmentation from Any Prompt Berg, and Li Fei-Fei

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.968197Z

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 9c714a6c-cc32-4d0d-8fb1-c6e0d7e68ec9 · outbound

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

VoCap: Video Object Captioning and Segmentation from Any Prompt Hiera: A hierarchical vision transformer without the bells-and-whistles

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.934662Z

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 c36ae280-65e0-471a-a2e6-738d8c47fe3d · outbound

This paper cites Tokenlearner: Adaptive space-time tokenization for videos.

VoCap: Video Object Captioning and Segmentation from Any Prompt Tokenlearner: Adaptive space-time tokenization for videos

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.890989Z

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 de29efa0-952a-47d5-94d1-8310d0897d9c · outbound

This paper cites Urvos: Unified referring video object segmentation network with a large-scale benchmark.

VoCap: Video Object Captioning and Segmentation from Any Prompt Urvos: Unified referring video object segmentation network with a large-scale benchmark

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.862210Z

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 eb82c4d2-4bf1-49f2-9550-83c922099e37 · outbound

This paper cites Annotating objects and relations in user-generated videos.

VoCap: Video Object Captioning and Segmentation from Any Prompt Annotating objects and relations in user-generated videos

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.814186Z

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 317edd14-e39c-4dbb-984f-57f9c1f2ccab · outbound

This paper cites Region-object relation-aware dense captioning via transformer.

VoCap: Video Object Captioning and Segmentation from Any Prompt Region-object relation-aware dense captioning via transformer

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.771189Z

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 3b4551fa-fdd1-4b54-a5a1-245f1020df62 · outbound

This paper cites What does clip know about a red circle? visual prompt engineering for vlms.

VoCap: Video Object Captioning and Segmentation from Any Prompt What does clip know about a red circle? visual prompt engineering for vlms

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.740260Z

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 41ad1629-a574-43b7-84d9-88bfbd4b6591 · outbound

This paper cites Video foundation models for animal behavior analysis.

VoCap: Video Object Captioning and Segmentation from Any Prompt Video foundation models for animal behavior analysis

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.702233Z

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 8e79880d-d477-4a52-9edc-08113a32497b · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

VoCap: Video Object Captioning and Segmentation from Any Prompt Scalability in perception for autonomous driving: Waymo open dataset

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.865273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66638174-134c-448a-8f47-8dd4c160250f · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

VoCap: Video Object Captioning and Segmentation from Any Prompt Gemma: Open Models Based on Gemini Research and Technology

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.871477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 494a617f-2afe-4654-8bf5-8521bb3e8b92 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

VoCap: Video Object Captioning and Segmentation from Any Prompt Gemma 2: Improving Open Language Models at a Practical Size

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.880826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b3fd1a2-1124-4050-8d20-b132447d8328 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

VoCap: Video Object Captioning and Segmentation from Any Prompt LLaMA: Open and Efficient Foundation Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.886308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee97b73b-be38-47f1-8c9a-70004761ad0f · outbound

This paper cites Attention is all you need.

VoCap: Video Object Captioning and Segmentation from Any Prompt Attention is all you need

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.891687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fd80b34-72bd-4cc3-9c36-b1359b36f6c2 · outbound

This paper cites Cider: Consensus-based image description evaluation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Cider: Consensus-based image description evaluation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.621641Z

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 04161a33-0846-43ff-a739-6bf328814047 · outbound

This paper cites Phenaki: Variable length video generation from open domain textual descriptions.

VoCap: Video Object Captioning and Segmentation from Any Prompt Phenaki: Variable length video generation from open domain textual descriptions

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.598780Z

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 93bb1291-efe9-4fea-a86c-4c3458880499 · outbound

This paper cites Connecting vision and language with video localized narratives.

VoCap: Video Object Captioning and Segmentation from Any Prompt Connecting vision and language with video localized narratives

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.574760Z

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 76f7b4b0-3460-45d5-a143-cdc5a9dbe52a · outbound

This paper cites Git: A generative image-to-text transformer for vision and language.

VoCap: Video Object Captioning and Segmentation from Any Prompt Git: A generative image-to-text transformer for vision and language

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.554837Z

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 ddd0f84e-71ef-41e2-b5b5-b85091610457 · outbound

This paper cites End-to-end dense video captioning with parallel decoding.

VoCap: Video Object Captioning and Segmentation from Any Prompt End-to-end dense video captioning with parallel decoding

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.518822Z

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 d78b6e5f-978c-4106-b90a-5f503598f5ac · outbound

This paper cites Caption Anything: Interactive Image Description with Diverse Multimodal Controls.

VoCap: Video Object Captioning and Segmentation from Any Prompt Caption Anything: Interactive Image Description with Diverse Multimodal Controls

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.925533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edfe104c-d0a3-4856-b530-fe9e64d72b31 · outbound

This paper cites Unidentified video objects: A benchmark for dense, open-world segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Unidentified video objects: A benchmark for dense, open-world segmentation

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.485562Z

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 5dccc15b-8b05-4d5b-9b86-998459bd7ad9 · outbound

This paper cites The all-seeing project: Towards panoptic visual recognition and understanding of the open world.

VoCap: Video Object Captioning and Segmentation from Any Prompt The all-seeing project: Towards panoptic visual recognition and understanding of the open world

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.451196Z

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 1daf37a9-7708-467f-9ccb-7631b853dd2b · outbound

This paper cites The All-Seeing Project V2: Towards General Relation Comprehension of the Open World.

VoCap: Video Object Captioning and Segmentation from Any Prompt The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.942135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a59b876c-4e5d-41bb-aa62-b96cdfca49c2 · outbound

This paper cites Instancediffusion: Instance-level control for image generation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Instancediffusion: Instance-level control for image generation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.426563Z

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 d24b68d0-16ec-4dfa-bc4b-bb4a07d1beb5 · outbound

This paper cites Language as queries for referring video object segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Language as queries for referring video object segmentation

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.397909Z

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 2e6c14ce-75b9-49c9-96ef-bcefd03f0a57 · outbound

This paper cites UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces.

VoCap: Video Object Captioning and Segmentation from Any Prompt UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:01:18.397693Z

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 b41afe1f-22a7-4ab7-9a9e-29c1d14a7a23 · outbound

This paper cites General object foundation model for images and videos at scale.

VoCap: Video Object Captioning and Segmentation from Any Prompt General object foundation model for images and videos at scale

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.377670Z

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 6ba209f7-85dc-46f5-be63-4b677a35aee7 · outbound

This paper cites Grit: A generative region-to-text transformer for object understanding.

VoCap: Video Object Captioning and Segmentation from Any Prompt Grit: A generative region-to-text transformer for object understanding

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.352240Z

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 bd63d38f-194e-4ba3-9319-3ee30bf19a55 · outbound

This paper cites Dettoolchain: A new prompting paradigm to unleash detection ability of mllm.

VoCap: Video Object Captioning and Segmentation from Any Prompt Dettoolchain: A new prompting paradigm to unleash detection ability of mllm

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.328388Z

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 a952e8fd-2d3c-4193-abab-4eb57748c530 · outbound

This paper cites Pixel-aligned language model.

VoCap: Video Object Captioning and Segmentation from Any Prompt Pixel-aligned language model

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.282154Z

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 10886054-f88b-4cdd-8a12-d32a13b39de9 · outbound

This paper cites Youtube-vos: Sequence-to-sequence video object segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Youtube-vos: Sequence-to-sequence video object segmentation

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.243223Z

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 0ea80731-72c7-4620-b19b-ed2f23f557f6 · outbound

This paper cites xgen-mm (blip-3): A family of open large multimodal models.

VoCap: Video Object Captioning and Segmentation from Any Prompt xgen-mm (blip-3): A family of open large multimodal models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:18.000551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 524bf4cc-24fa-4109-9c75-fe402ae84dab · outbound

This paper cites Vid2seq: Large-scale pretraining of a visual language model for dense video captioning.

VoCap: Video Object Captioning and Segmentation from Any Prompt Vid2seq: Large-scale pretraining of a visual language model for dense video captioning

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.221648Z

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 dc07d712-d243-49bb-9167-63d0ab8cde11 · outbound

This paper cites Track Anything: Segment Anything Meets Videos.

VoCap: Video Object Captioning and Segmentation from Any Prompt Track Anything: Segment Anything Meets Videos

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:18.011590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0deecbdc-995a-4edd-b1b3-a9fed35a2141 · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

VoCap: Video Object Captioning and Segmentation from Any Prompt Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:18.017383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d442d00-cc26-4cd2-ab3a-5d1ef693dfdc · outbound

This paper cites Decoupling features in hierarchical propagation for video object segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Decoupling features in hierarchical propagation for video object segmentation

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.187726Z

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 3d09fbf5-b2e4-47fe-925c-160612d99570 · outbound

This paper cites Associating objects with transformers for video object segmentation.

VoCap: Video Object Captioning and Segmentation from Any Prompt Associating objects with transformers for video object segmentation

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.158353Z

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 a4f0f111-19a8-4746-a4f8-cd040d2366b8 · outbound

This paper cites Scalable video object segmentation with identification mechanism.

VoCap: Video Object Captioning and Segmentation from Any Prompt Scalable video object segmentation with identification mechanism

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.135352Z

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 1c1d4855-d106-4023-abbd-8fadeba161e6 · outbound

This paper cites Describing videos by exploiting temporal structure.

VoCap: Video Object Captioning and Segmentation from Any Prompt Describing videos by exploiting temporal structure

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.112159Z

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 37ff9346-5dfa-40b8-b6c7-454f4ad94255 · outbound

This paper cites Modeling context in referring expressions.

VoCap: Video Object Captioning and Segmentation from Any Prompt Modeling context in referring expressions

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:19.084617Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers