Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:49:43.782509Z
Paper Citation Record · LEDGER
Number it: Temporal Grounding Videos like Flipping Manga
As of 19 August 2026, this Paper Citation Record lists 100 of 101 outbound references and 6 inbound Pith citation observations for arXiv:2411.10332.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:20:59.262348Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T09:43:49.389473Z
Reference resolution
100 of 101 outbound references displayed
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- unresolved65
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6e27ab6e-8d49-4f7e-a5b2-f40d22d73eb7 · outbound
This paper cites Qwen Technical Report.
Number it: Temporal Grounding Videos like Flipping Manga Qwen Technical Report
Reference 1
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Source-reported events for the cited work
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Observation 72e74eea-765b-4db3-9a77-090e307a35c5 · outbound
This paper cites RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search.
Number it: Temporal Grounding Videos like Flipping Manga RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51485249-0540-4699-b758-f7d90e4a49e0 · outbound
This paper cites The surprising effectiveness of multimodal large language models for video moment retrieval.
Number it: Temporal Grounding Videos like Flipping Manga The surprising effectiveness of multimodal large language models for video moment retrieval
Reference 3
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d94de45-1e3f-4ae3-8853-9f4724b5450d · outbound
This paper cites Activitynet: A large-scale video benchmark for human activity understanding.
Number it: Temporal Grounding Videos like Flipping Manga Activitynet: A large-scale video benchmark for human activity understanding
Reference 4
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69faa14f-5026-4bd5-a722-8b1a8fb90c15 · outbound
This paper cites Vip- llava: Making large multimodal models understand arbitrary visual prompts.
Number it: Temporal Grounding Videos like Flipping Manga Vip- llava: Making large multimodal models understand arbitrary visual prompts
Reference 5
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Source-reported events for the cited work
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Observation 7096712d-dc08-4519-973f-04955a4c4edb · outbound
This paper cites Progressive bilateral-context driven model for post-processing person re-identification.
Number it: Temporal Grounding Videos like Flipping Manga Progressive bilateral-context driven model for post-processing person re-identification
Reference 6
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4654a0f1-076a-47c9-94ac-674fa74120fc · outbound
This paper cites Image-text Retrieval: A Survey on Recent Research and Development.
Number it: Temporal Grounding Videos like Flipping Manga Image-text Retrieval: A Survey on Recent Research and Development
Reference 7
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Source-reported events for the cited work
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Observation 2c1476d4-0379-45ec-ab13-99bb0fa5505a · outbound
This paper cites An empirical study of clip for text-based person search.
Number it: Temporal Grounding Videos like Flipping Manga An empirical study of clip for text-based person search
Reference 8
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b1695a7-7ab0-4b01-96ba-62029f41cea9 · outbound
This paper cites An empirical study of clip for text-based person search.
Number it: Temporal Grounding Videos like Flipping Manga An empirical study of clip for text-based person search
Reference 9
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Source-reported events for the cited work
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Observation 7aefe83a-b8f4-464e-bd6c-c8a679f34b62 · outbound
This paper cites End- to-end multi-modal video temporal grounding.
Number it: Temporal Grounding Videos like Flipping Manga End- to-end multi-modal video temporal grounding
Reference 10
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Source-reported events for the cited work
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Observation de3edf37-4da3-4ce3-b00c-c91aa7b91e7b · outbound
This paper cites InstructDET: Diversifying Referring Object Detection with Generalized Instructions.
Number it: Temporal Grounding Videos like Flipping Manga InstructDET: Diversifying Referring Object Detection with Generalized Instructions
Reference 11
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Source-reported events for the cited work
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Observation 30a36257-8ce9-444f-929c-9cc9ffd8e0e0 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Number it: Temporal Grounding Videos like Flipping Manga An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 12
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b2b6afd-e249-426a-9884-5d899c6e2245 · outbound
This paper cites VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models.
Number it: Temporal Grounding Videos like Flipping Manga VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
Reference 13
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55ff0f91-8ea2-412b-9bc5-b194286f9130 · outbound
This paper cites Cityllava: Efficient fine-tuning for vlms in city scenario.
Number it: Temporal Grounding Videos like Flipping Manga Cityllava: Efficient fine-tuning for vlms in city scenario
Reference 14
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b825821-aa6b-4a71-bc83-42cdc2fafece · outbound
This paper cites System- status-aware adaptive network for online streaming video un- derstanding.
Number it: Temporal Grounding Videos like Flipping Manga System- status-aware adaptive network for online streaming video un- derstanding
Reference 15
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19655bc8-82cc-496c-8605-de77949e833b · outbound
This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
Number it: Temporal Grounding Videos like Flipping Manga Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Reference 16
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c093acf-5c4d-4376-9079-b5a4e9ff882b · outbound
This paper cites Fast video moment re- trieval.
Number it: Temporal Grounding Videos like Flipping Manga Fast video moment re- trieval
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23988d94-7d0b-46c1-8ed7-326ba4e2628d · outbound
This paper cites Tall: Temporal activity localization via language query.
Number it: Temporal Grounding Videos like Flipping Manga Tall: Temporal activity localization via language query
Reference 18
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd6fdd50-76ce-4130-83e9-4fb054b96c1a · outbound
This paper cites Scaling New Frontiers: Insights into Large Recommendation Models.
Number it: Temporal Grounding Videos like Flipping Manga Scaling New Frontiers: Insights into Large Recommendation Models
Reference 19
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Source-reported events for the cited work
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Observation 94d173e7-b44a-440d-987d-b0353c541ff7 · outbound
This paper cites VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding.
Number it: Temporal Grounding Videos like Flipping Manga VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding
Reference 20
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63b88a5e-6050-47ba-a9c7-d690d850d67e · outbound
This paper cites TRACE: Temporal Grounding Video LLM via Causal Event Modeling.
Number it: Temporal Grounding Videos like Flipping Manga TRACE: Temporal Grounding Video LLM via Causal Event Modeling
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28b9663f-688b-420b-8df6-2c973fdb6a44 · outbound
This paper cites Homeomorphism prior for false posi- tive and negative problem in medical image dense contrastive representation learning.
Number it: Temporal Grounding Videos like Flipping Manga Homeomorphism prior for false posi- tive and negative problem in medical image dense contrastive representation learning
Reference 22
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Source-reported events for the cited work
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Observation e54aaa00-c38d-4514-a277-f47c263a2bd6 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga CogVLM2: Visual Language Models for Image and Video Understanding
Reference 23
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Observation 7033bc6f-0678-4306-9ec1-1ea8e26ab70c · outbound
This paper cites Lora: Low- rank adaptation of large language models.
Number it: Temporal Grounding Videos like Flipping Manga Lora: Low- rank adaptation of large language models
Reference 24
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Observation 7e740943-f226-4117-ae00-bc2d36886610 · outbound
This paper cites Vtimellm: Empower llm to grasp video moments.
Number it: Temporal Grounding Videos like Flipping Manga Vtimellm: Empower llm to grasp video moments
Reference 25
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Source-reported events for the cited work
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Observation 5e2bf25e-8a6b-4cb6-aa13-0a76dce4666a · outbound
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Number it: Temporal Grounding Videos like Flipping Manga LITA: Language Instructed Temporal-Localization Assistant
Reference 26
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Source-reported events for the cited work
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Number it: Temporal Grounding Videos like Flipping Manga Dg- pic: Domain generalized point-in-context learning for point cloud understanding
Reference 27
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Source-reported events for the cited work
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Number it: Temporal Grounding Videos like Flipping Manga Do you remember? dense video captioning with cross-modal memory retrieval
Reference 28
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Number it: Temporal Grounding Videos like Flipping Manga Adam: A Method for Stochastic Optimization
Reference 29
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Number it: Temporal Grounding Videos like Flipping Manga Multi-scale spatial-temporal attention networks for functional connectome classification
Reference 30
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Number it: Temporal Grounding Videos like Flipping Manga Dense-captioning events in videos
Reference 31
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Number it: Temporal Grounding Videos like Flipping Manga CoLLaVO: Crayon Large Language and Vision mOdel
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Number it: Temporal Grounding Videos like Flipping Manga Detecting mo- ments and highlights in videos via natural language queries
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Number it: Temporal Grounding Videos like Flipping Manga Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition
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Number it: Temporal Grounding Videos like Flipping Manga LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding
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Number it: Temporal Grounding Videos like Flipping Manga Mvbench: A comprehensive multi-modal video understand- ing benchmark
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Number it: Temporal Grounding Videos like Flipping Manga Learning semantic- aligned feature representation for text-based person search
Reference 38
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Number it: Temporal Grounding Videos like Flipping Manga GroundingGPT:Language Enhanced Multi-modal Grounding Model
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Number it: Temporal Grounding Videos like Flipping Manga General- ized video anomaly event detection: Systematic taxonomy and comparison of deep models
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Observation 792d7724-6f6b-4491-b9ad-593aef9b054c · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Weakly supervised video moment retrieval from text queries
Reference 51
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Source-reported events for the cited work
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Observation b589c9df-8b6f-4af6-930a-2ecb8547af93 · outbound
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Source-reported events for the cited work
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Number it: Temporal Grounding Videos like Flipping Manga LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
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Number it: Temporal Grounding Videos like Flipping Manga Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning
Reference 55
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Number it: Temporal Grounding Videos like Flipping Manga Controllable augmentations for video representation learning
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Observation 970d9ade-5a9f-4d92-88ff-73c048c44c0b · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Learning transferable visual models from natural language supervi- sion
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Observation 55398ac1-70a7-4692-9547-ff71c03a510f · outbound
This paper cites Timechat: A time-sensitive multimodal large lan- guage model for long video understanding.
Number it: Temporal Grounding Videos like Flipping Manga Timechat: A time-sensitive multimodal large lan- guage model for long video understanding
Reference 58
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Observation deb07073-8690-4d58-bb61-5a630f4dac5a · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Towards more unified in-context visual un- derstanding
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Observation 0c444450-b4f7-4d1d-9dbc-13a5bae980b2 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga What does clip know about a red circle? vi- sual prompt engineering for vlms
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Observation 0361c958-e6d7-46a7-894f-acddc024dae5 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Gemini: A Family of Highly Capable Multimodal Models
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Observation 6f30a34f-00be-44f9-a43e-390dfcaac459 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Add-it: Training-free object inser- tion in images with pretrained diffusion models, 2024
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Observation 640ad148-7c08-4f97-b350-e19e4b5c85f7 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Towards Open-World Grasping with Large Vision-Language Models
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Number it: Temporal Grounding Videos like Flipping Manga Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
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Observation a039a1d3-518a-447e-b081-8ed6ad15de62 · outbound
This paper cites Temporal segment networks for action recognition in videos.IEEE transactions on pattern analysis and machine intelligence , 41(11):2740– 2755, 2018.
Number it: Temporal Grounding Videos like Flipping Manga Temporal segment networks for action recognition in videos.IEEE transactions on pattern analysis and machine intelligence , 41(11):2740– 2755, 2018
Reference 65
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Observation d7919a77-a927-49c0-8fcd-2534bdace045 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
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Observation a8003260-5202-4e4f-85b8-9412403eb99f · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Visual- semantic network: a visual and semantic enhanced model for gesture recognition
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Observation 5a20b3e7-ecab-4f1d-a804-bd3b2d5cc14e · outbound
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Number it: Temporal Grounding Videos like Flipping Manga HawkEye: Training Video-Text LLMs for Grounding Text in Videos
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Number it: Temporal Grounding Videos like Flipping Manga Omniedit: Building image editing generalist models through specialist supervision, 2024
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Observation 186fc9f2-b1e4-402a-bfff-25de3fcdb879 · outbound
This paper cites Visual Prompting in Multimodal Large Language Models: A Survey.
Number it: Temporal Grounding Videos like Flipping Manga Visual Prompting in Multimodal Large Language Models: A Survey
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Observation 198c9a2a-42d1-475e-a6fa-0bee1598c4af · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Data-Efficient 3D Visual Grounding via Order-Aware Referring
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Number it: Temporal Grounding Videos like Flipping Manga A glance at in-context learning
Reference 72
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Observation 6e877104-f1bb-4bc0-aa50-cf16b322ff04 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM
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Observation e1389df3-b9f4-46ed-9419-c89b6e100bb9 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
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Observation 1d9beef1-7b34-4fe4-b639-afb6a8227267 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Sutd-trafficqa: A question answering benchmark and an efficient network for video rea- soning over traffic events
Reference 75
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Observation c99c834b-cb81-439c-aaf2-c9d88864af74 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Meta spatio-temporal debiasing for video scene graph gen- eration
Reference 76
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Observation 6b132d9e-1fa5-467d-8084-1732054ac599 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Vid2seq: Large-scale pretraining of a vi- sual language model for dense video captioning
Reference 77
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Number it: Temporal Grounding Videos like Flipping Manga Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
Reference 78
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Observation fd5fb59f-df58-49c6-9cbb-12e8d403fb8c · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Exploring diverse in-context configurations for image captioning
Reference 79
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Observation eec21f06-3239-4544-8be1-58efdbbe9566 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Cpt: Colorful prompt tuning for pre-trained vision-language models
Reference 80
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Number it: Temporal Grounding Videos like Flipping Manga Visual place recognition via local affine preserving matching
Reference 81
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Observation 375c7cc9-c1cb-4b33-8270-aa6aea22f330 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Neighborhood manifold preserving matching for visual place recognition
Reference 82
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Observation dd6aaa0c-f58e-4d35-b0aa-e71c86ce244e · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Vqne: Variational quan- tum network embedding with application to network align- ment
Reference 83
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Observation 0adc9ecf-94f3-49ba-a647-5a8dd444734b · outbound
This paper cites Bridge the modality and capability gaps in vision-language model selection.
Number it: Temporal Grounding Videos like Flipping Manga Bridge the modality and capability gaps in vision-language model selection
Reference 84
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Observation 2562db88-e2e8-4df8-aa42-7e69e0b33615 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Dataset regeneration for sequential recommendation
Reference 85
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Observation 9878b8de-46dc-46ad-a9bb-a51c3af5f986 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Hierarchical video-moment retrieval and step-captioning
Reference 86
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Observation 1054c9b0-a73c-4304-839d-7d6752d46d73 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Long Context Transfer from Language to Vision
Reference 87
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Observation a6586124-9cc2-4de1-b69d-0be5a0440220 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Pixel adapter: A graph-based post-processing approach for scene text image super-resolution
Reference 88
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Observation db67889a-4ef9-412d-8c69-c44365f0aa2e · outbound
This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.
Number it: Temporal Grounding Videos like Flipping Manga LLaVA-Video: Video Instruction Tuning With Synthetic Data
Reference 89
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Number it: Temporal Grounding Videos like Flipping Manga Temporal action detection with structured segment networks
Reference 90
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Observation 3ed2a69d-cf91-43cd-88f1-5f4f38caada0 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga Multi-modal in-context learning makes an ego-evolving scene text recognizer
Reference 91
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Observation e2ff5e7c-1844-4af8-b586-f0cd12f33379 · outbound
This paper cites MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control.
Number it: Temporal Grounding Videos like Flipping Manga MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control
Reference 92
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Observation c6e286cc-dbcc-4042-b0ac-841dd8c3d13f · outbound
This paper cites Moment Retrieval In the training-free (NumPro) setting, we extract frames from videos at 1 FPS, with each frame resized to a reso- lution of 336 × 336.
Number it: Temporal Grounding Videos like Flipping Manga Moment Retrieval In the training-free (NumPro) setting, we extract frames from videos at 1 FPS, with each frame resized to a reso- lution of 336 × 336
Reference 93
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Observation 8388b3a9-1aa1-4bb9-ac04-c541875b6ddc · outbound
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Number it: Temporal Grounding Videos like Flipping Manga from frame 000 to frame 200
Reference 94
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Observation 2f45607d-5dab-4c63-ab69-f38d8f5eb138 · outbound
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Number it: Temporal Grounding Videos like Flipping Manga from 2 to
Reference 95
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Observation 04f2c49e-fe5f-4251-96e8-5e20ea4bc4e8 · outbound
This paper cites We use 1FPS as the sampling rate, and adopt a design of red color, font size 40, and bottom right positioning for the number prompt.
Number it: Temporal Grounding Videos like Flipping Manga We use 1FPS as the sampling rate, and adopt a design of red color, font size 40, and bottom right positioning for the number prompt
Reference 96
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Observation 62fd4d25-418d-44b6-8af2-9bd64dc760c0 · outbound
This paper cites The results show that our method generalizes well across various General Vid-LLMs, achieving notable improvements in both mAP and HIT@1 metrics.
Number it: Temporal Grounding Videos like Flipping Manga The results show that our method generalizes well across various General Vid-LLMs, achieving notable improvements in both mAP and HIT@1 metrics
Reference 97
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Observation 2b4ca4a2-edf2-43f8-8179-dce471846824 · outbound
This paper cites While a font size of 60 achieves better Number Accu- racy than a size of 40 (Figure 5 of the main paper), it reduces Caption Accuracy and introduces more outliers.
Number it: Temporal Grounding Videos like Flipping Manga While a font size of 60 achieves better Number Accu- racy than a size of 40 (Figure 5 of the main paper), it reduces Caption Accuracy and introduces more outliers
Reference 98
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Observation f9fb595a-597d-452a-9daf-29dea2b4b37d · outbound
This paper cites 10.5s”) may introduce decimals, which can increase parsing complexity for Vid-LLMs. In Tabel 9, we compare minute-level temporal annotations (e.g., “01:10.
Number it: Temporal Grounding Videos like Flipping Manga 10.5s”) may introduce decimals, which can increase parsing complexity for Vid-LLMs. In Tabel 9, we compare minute-level temporal annotations (e.g., “01:10
Reference 99
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Observation ac78c114-2a4a-4414-aad3-d5b181948711 · outbound
This paper cites Dialogue Figure 11 illustrates a real-world application of our NumPro method within the Qwen2-VL-7B model, highlighting its ability to handle complex video-based dialogue tasks.
Number it: Temporal Grounding Videos like Flipping Manga Dialogue Figure 11 illustrates a real-world application of our NumPro method within the Qwen2-VL-7B model, highlighting its ability to handle complex video-based dialogue tasks
Reference 100
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Source-reported events for the cited work
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Pith citing papers
Observation 4e3c51c5-4ff5-45b9-bf7d-a5636c50b639 · inbound
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ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning Number it: Temporal Grounding Videos like Flipping Manga
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Observation e62bb179-dca9-4451-af74-35c82c258d88 · inbound
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RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-Thought Number it: Temporal Grounding Videos like Flipping Manga
Reference 38
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Observation 7e1acb8e-75d2-4094-aa64-372b6ae565b4 · inbound
VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism cites this paper.
VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Number it: Temporal Grounding Videos like Flipping Manga
Reference 29
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Observation c79c5776-cd85-4233-a118-800e5393bb60 · inbound
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A Survey on Video Temporal Grounding with Multimodal Large Language Model Number it: Temporal Grounding Videos like Flipping Manga
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Observation 64179649-6c66-45a4-8c0a-944396226658 · inbound
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AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation Number it: Temporal Grounding Videos like Flipping Manga
Reference 60
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Observation 236e8bce-f0ed-463a-895b-a3947d3cf26b · inbound
TimePLE: Rethinking Temporal Representation for Video Temporal Grounding cites this paper.
TimePLE: Rethinking Temporal Representation for Video Temporal Grounding Number it: Temporal Grounding Videos like Flipping Manga
Reference 36
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