VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels | Paper Citation Record

Observation e939571c-f7aa-4a38-beff-a0d8814a57e8 · outbound

This paper cites Segment anything,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Segment anything,

Reference 1

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Observation 5d2ea5c3-4eb1-48f9-a468-9a755974fdb4 · outbound

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

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Learning transferable visual models from natural language supervision,

Reference 2

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Observation 604c6303-c8df-4c57-8fa1-1247aa00cbfa · outbound

This paper cites USE: Universal segment embeddings for open-vocabulary image segmentation,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels USE: Universal segment embeddings for open-vocabulary image segmentation,

Reference 3

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Observation 570f6c65-65bc-4e6f-8950-29d9b5cc1d2b · outbound

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

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 4

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Observation 0972c07f-9e28-4b69-8a05-f34903b0e3ee · outbound

This paper cites Visual instruction tuning,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Visual instruction tuning,

Reference 5

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Observation 0d2fc472-b2c7-4a61-ab32-247439c94dd5 · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 6

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Observation e6abe44b-6f75-4a99-a5dd-c92f51d78425 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 7

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Observation bfe4db6d-e711-454c-8cb5-fd19d075efd1 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 8

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Observation 8c65e65d-cdd7-4782-9078-df9af625b2d1 · outbound

This paper cites Demystifying CLIP Data.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Demystifying CLIP Data

Reference 9

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Observation 5f0ab608-b68b-443d-bf39-2cccec70503a · outbound

This paper cites Foundation models meet visualizations: Challenges and opportunities,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Foundation models meet visualizations: Challenges and opportunities,

Reference 10

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Observation db037c1b-5910-4229-a470-e1a04dcf6b20 · outbound

This paper cites Comparing visual-interactive labeling with active learning: An ex- perimental study,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Comparing visual-interactive labeling with active learning: An ex- perimental study,

Reference 11

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Observation 70890ed4-46cb-4712-99ff-f191b30dae6e · outbound

This paper cites Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations, clustering, and active learning,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations, clustering, and active learning,

Reference 12

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Observation 4a956770-5edf-411b-a37e-e1a65f20fdb2 · outbound

This paper cites Vassl: A visual analytics toolkit for social spambot labeling,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Vassl: A visual analytics toolkit for social spambot labeling,

Reference 13

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Observation 25916626-d46d-4af9-acd6-7d2907ced815 · outbound

This paper cites V AC-CNN: A visual analytics system for comparative studies of deep convolutional neural networks,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels V AC-CNN: A visual analytics system for comparative studies of deep convolutional neural networks,

Reference 14

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Observation 13235a62-246c-4ae3-85f3-7d2658a30bf3 · outbound

This paper cites On the cost of interactions in interactive visual machine learning,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels On the cost of interactions in interactive visual machine learning,

Reference 15

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Observation f2f91786-147d-4878-baa9-f2447ac4125c · outbound

This paper cites A simulation-based approach for quantifying the impact of interactive label correction for machine learning,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels A simulation-based approach for quantifying the impact of interactive label correction for machine learning,

Reference 16

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Observation 10721556-2346-4df6-897c-7c2aefd28b27 · outbound

This paper cites Aila: Attentive interactive labeling assistant for document classification through attention-based deep neural networks,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Aila: Attentive interactive labeling assistant for document classification through attention-based deep neural networks,

Reference 17

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Observation 8e645cf2-52a5-4b3f-9ac6-094908cc185e · outbound

This paper cites Onela- beler: A flexible system for building data labeling tools,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Onela- beler: A flexible system for building data labeling tools,

Reference 18

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Observation 6b39276e-6f5e-4dca-b82b-89d6cc559761 · outbound

This paper cites A unified process for visual-interactive labeling,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels A unified process for visual-interactive labeling,

Reference 19

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Observation 5fed149b-8b75-4428-8df1-94fc8a4e4ec3 · outbound

This paper cites Improving the usability of hierarchical representations for interactively labeling large image data sets,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Improving the usability of hierarchical representations for interactively labeling large image data sets,

Reference 20

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Observation b7eb266a-39dd-4119-9718-d6ff179b9741 · outbound

This paper cites Increasing the speed and accuracy of data labeling through an ai assisted interface,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Increasing the speed and accuracy of data labeling through an ai assisted interface,

Reference 21

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Observation 4c454777-7f3d-4ec8-9321-498ea56d40ca · outbound

This paper cites Interactive visual labelling versus active learning: an experimental comparison,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Interactive visual labelling versus active learning: an experimental comparison,

Reference 22

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Observation 197238b4-5878-4eeb-b640-17d85706ad69 · outbound

This paper cites Inter-active learning of ad-hoc classifiers for video visual analytics,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Inter-active learning of ad-hoc classifiers for video visual analytics,

Reference 23

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Observation dcbfa7bc-3b92-4a48-bf76-151950542d25 · outbound

This paper cites Oodanalyzer: Interactive analysis of out-of-distribution samples,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Oodanalyzer: Interactive analysis of out-of-distribution samples,

Reference 24

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Observation 53777fe5-2e4e-4b1f-b427-f0542a1151af · outbound

This paper cites Towards better caption supervision for object detection,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Towards better caption supervision for object detection,

Reference 25

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Observation 886a834d-4be5-4d8d-8ab0-14cd874f1ae3 · outbound

This paper cites Diagnosing ensemble few-shot classifiers,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Diagnosing ensemble few-shot classifiers,

Reference 26

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Observation 187c721e-575d-4e26-8f96-2250e6f18efa · outbound

This paper cites Trafficvis: visualizing organized activity and spatio-temporal patterns for detecting and labeling human trafficking,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Trafficvis: visualizing organized activity and spatio-temporal patterns for detecting and labeling human trafficking,

Reference 27

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Observation 2cccd6bd-39c7-4265-a6c4-9b949fd0b08c · outbound

This paper cites In- teractive graph construction for graph-based semi-supervised learning,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels In- teractive graph construction for graph-based semi-supervised learning,

Reference 28

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This paper cites Interactive reweighting for mitigating label quality issues,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Interactive reweighting for mitigating label quality issues,

Reference 29

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Observation e6daebaa-a665-43fa-8ccc-47786c1da4b3 · outbound

This paper cites Enhancing single-frame supervision for better temporal action localization,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Enhancing single-frame supervision for better temporal action localization,

Reference 30

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Observation 1828d4ef-9828-4987-b6b1-7f8126f43108 · outbound

This paper cites Perspective: leveraging human understanding for identifying and characterizing image atypicality,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Perspective: leveraging human understanding for identifying and characterizing image atypicality,

Reference 31

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Observation 9a6cef3a-ee4c-4a6c-b101-a6a63b4b0055 · outbound

This paper cites Classifier-guided visual correction of noisy labels for image classification tasks,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Classifier-guided visual correction of noisy labels for image classification tasks,

Reference 32

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Observation 8e1a1479-2e38-418f-9f22-e63b9d5e676c · outbound

This paper cites AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding

Reference 33

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Observation 6edee74a-f80a-4e67-92a3-f561b49cc40d · outbound

This paper cites SUNY: A visual interpretation framework for convolutional neural networks from a necessary and sufficient perspective,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels SUNY: A visual interpretation framework for convolutional neural networks from a necessary and sufficient perspective,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:57.092201Z

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Observation 4b856399-67be-4331-a476-a7f81ec875ba · outbound

This paper cites An interactive method to improve crowdsourced annotations,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels An interactive method to improve crowdsourced annotations,

Reference 35

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Observation 36dad77f-26e1-4190-8ddd-4c917780c56d · outbound

This paper cites Interactive correction of mislabeled training data,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Interactive correction of mislabeled training data,

Reference 36

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Observation 9c367188-befd-43c8-8fbf-6eecb53752a2 · outbound

This paper cites Labelvizier: Interactive validation and relabeling for technical text annotations,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Labelvizier: Interactive validation and relabeling for technical text annotations,

Reference 37

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Observation 40f519f7-c95f-40d1-9b99-1c744ff4dcdc · outbound

This paper cites SLIM: Spuriousness mitigation with minimal human annotations,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels SLIM: Spuriousness mitigation with minimal human annotations,

Reference 38

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Observation b23427ac-c266-4fa5-8eef-781a6ad2481e · outbound

This paper cites Visual concept programming: A visual analytics approach to injecting human intelligence at scale,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Visual concept programming: A visual analytics approach to injecting human intelligence at scale,

Reference 39

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Observation 1a0ef3f8-7470-4bc0-82cb-4663b61aa3c5 · outbound

This paper cites Open-vocabulary instance segmentation via robust cross-modal pseudo-labeling,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Open-vocabulary instance segmentation via robust cross-modal pseudo-labeling,

Reference 40

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Observation 0b7d0e51-fb02-41df-af32-ecb803137e67 · outbound

This paper cites A simple baseline for open-vocabulary semantic segmentation with pre- trained vision-language model,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels A simple baseline for open-vocabulary semantic segmentation with pre- trained vision-language model,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:56.704579Z

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Observation 03d59a7b-9a29-48c8-a953-b67d8b055041 · outbound

This paper cites Groupvit: Semantic segmentation emerges from text supervision,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Groupvit: Semantic segmentation emerges from text supervision,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:56.635497Z

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Observation b1f9b376-573e-409c-a103-999ae673368f · outbound

This paper cites Open- vocabulary panoptic segmentation with text-to-image diffusion models,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Open- vocabulary panoptic segmentation with text-to-image diffusion models,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:56.560116Z

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Observation 0a52f96a-c3c5-4fa2-a7c4-f4c09f1ccbe5 · outbound

This paper cites Side adapter network for open-vocabulary semantic segmentation,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Side adapter network for open-vocabulary semantic segmentation,

Reference 44

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Source-reported events for the cited work

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Observation 1b242100-5685-49af-b45d-4e370866c1b3 · outbound

This paper cites Generalized decoding for pixel, image, and language,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Generalized decoding for pixel, image, and language,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:56.441652Z

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Observation 5baec6cb-6385-4b91-90bc-af3d541ab465 · outbound

This paper cites Extract free dense labels from clip,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Extract free dense labels from clip,

Reference 46

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Source-reported events for the cited work

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This paper cites Proxyclip: Proxy attention improves clip for open-vocabulary segmentation,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Proxyclip: Proxy attention improves clip for open-vocabulary segmentation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:56.202398Z

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Observation d95c114f-8231-45bd-9b2f-4e9fe1c9737d · outbound

This paper cites Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation

Reference 48

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Observation 29007e3c-7661-4174-ac31-a1a57145bb94 · outbound

This paper cites Reco: Retrieve and co-segment for zero-shot transfer,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Reco: Retrieve and co-segment for zero-shot transfer,

Reference 49

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Source-reported events for the cited work

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Observation 386574c5-1932-4d61-9f72-15bf9689f952 · outbound

This paper cites Diffusion models for open-vocabulary segmentation,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Diffusion models for open-vocabulary segmentation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:55.861779Z

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Observation 557cd8a8-f254-4bfb-8b92-719600a95503 · outbound

This paper cites Fossil: Free open-vocabulary semantic segmentation through synthetic references retrieval,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Fossil: Free open-vocabulary semantic segmentation through synthetic references retrieval,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:55.629769Z

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Observation 6879b7c4-9d40-4aa5-a3b8-45122a36ddde · outbound

This paper cites kNN-CLIP: Retrieval enables training-free segmentation on continually expanding large vocabularies,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels kNN-CLIP: Retrieval enables training-free segmentation on continually expanding large vocabularies,

Reference 52

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Source-reported events for the cited work

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This paper cites Image-to-image matching via foundation models: A new perspective for open-vocabulary semantic segmentation,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Image-to-image matching via foundation models: A new perspective for open-vocabulary semantic segmentation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:55.324015Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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This paper cites Phrasecut: Language- based image segmentation in the wild,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Phrasecut: Language- based image segmentation in the wild,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:55.223574Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a3810c5c-ace8-45e2-a750-7f36d17f9a41 · outbound

This paper cites spacy: Industrial-strength natural language processing in python,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels spacy: Industrial-strength natural language processing in python,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:55.121871Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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This paper cites Umap: Uniform manifold approximation and projection,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Umap: Uniform manifold approximation and projection,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:55.028365Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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This paper cites hdbscan: Hierarchical density based clustering.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels hdbscan: Hierarchical density based clustering

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:54.939743Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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This paper cites Visualizing data using t-sne.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Visualizing data using t-sne

Reference 58

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VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:54.808341Z

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

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels A Closer Look at the Explainability of Contrastive Language-Image Pre-training

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T18:12:52.955240Z

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VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels De-Diffusion Makes Text a Strong Cross-Modal Interface

Reference 61

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Observation a23fcce4-a5fa-4a6c-b8f8-d01a07b59727 · outbound

This paper cites Looking for trouble: Analyzing classifier behavior via pattern divergence,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Looking for trouble: Analyzing classifier behavior via pattern divergence,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:54.683972Z

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Observation 1982a983-e50a-4cd0-8695-91f9516a3b30 · outbound

This paper cites Sliceteller: A data slice-driven approach for machine learning model validation,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Sliceteller: A data slice-driven approach for machine learning model validation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:54.526455Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c827b9db-bc73-4114-b854-56f4be99ad24 · outbound

This paper cites Fairness-aware range queries for selecting unbiased data,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Fairness-aware range queries for selecting unbiased data,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:54.393569Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d7650dce-ea27-4283-a00c-129906cd2f4d · outbound

This paper cites Tip-Adapter: Training-free adaption of clip for few-shot classification.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Tip-Adapter: Training-free adaption of clip for few-shot classification

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T18:12:53.365343Z

Source-reported events for the cited work

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This paper cites UpSet: visualization of intersecting sets,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels UpSet: visualization of intersecting sets,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:54.258217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c1fd3115-ca8e-4385-bf18-f3de320a9559 · outbound

This paper cites Coco-stuff: Thing and stuff classes in context,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels Coco-stuff: Thing and stuff classes in context,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:54.143270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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This paper cites The cityscapes dataset for semantic urban scene understanding,.

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels The cityscapes dataset for semantic urban scene understanding,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:12:54.056061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Reference resolution

Outbound references

Pith citing papers