DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences | Paper Citation Record

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

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Flamingo: a visual language model for few-shot learning

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Qwen3-VL Technical Report

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Qwen2.5-vl technical report,

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Qwen2.5-VL Technical Report

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Video Action Differencing

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This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 6

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This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

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This paper cites Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?

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This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Instructblip: Towards general-purpose vision-language models with instruction tuning

Reference 9

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Unresolved cited work

Reference 10

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This paper cites Videozoomer: Reinforcement-learned temporal focusing for long video reasoning, 2025.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Videozoomer: Reinforcement-learned temporal focusing for long video reasoning, 2025

Reference 11

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 12

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This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 13

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This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 14

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Unresolved cited work

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Video-mmmu: Evaluating knowledge acquisition from multi-discipline professional videos,

Reference 17

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

Reference 18

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 19

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This paper cites Learning to describe differences between pairs of similar images.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Learning to describe differences between pairs of similar images

Reference 20

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Reference 21

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Llava-onevision: Easy visual task transfer,

Reference 22

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences LLaVA-OneVision: Easy Visual Task Transfer

Reference 23

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences BLIP-2: Bootstrapping language- image pre-training with frozen image encoders and large language models

Reference 24

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences VideoChat: Chat-Centric Video Understanding

Reference 25

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Llama-vid: An image is worth 2 tokens in large language models

Reference 26

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Evaluating object hallucination in large vision-language models

Reference 27

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Video-LLaV A: Learning united visual representation by alignment before projection

Reference 28

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences doi: 10.18653/v1/2024.emnlp-main.342

Reference 29

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Visual Spatial Reasoning

Reference 30

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences World model on million-length video and language with blockwise ringattention, 2025

Reference 31

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Visual instruction tuning

Reference 32

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Unresolved cited work

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences ISBN 978-3-031-72658-3

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Unresolved cited work

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Video-ChatGPT: Towards detailed video understanding via large vision and language models

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences GPT-4o System Card

Reference 38

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Training language models to follow instructions with human feedback

Reference 39

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Direct preference optimization: Your language model is secretly a reward model

Reference 40

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding

Reference 41

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Proximal Policy Optimization Algorithms

Reference 42

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 43

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences MovieChat: From Dense Token to Sparse Memory for Long Video Understanding

Reference 44

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Reason-rft: Reinforcement fine-tuning for visual reasoning of vision language models, 2025

Reference 45

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Unresolved cited work

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 47

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

Reference 48

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences LVBench: An Extreme Long Video Understanding Benchmark

Reference 49

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs

Reference 50

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Internvideo2: Scaling foundation models for multimodal video understanding

Reference 51

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Blaschko

Reference 52

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding

Reference 53

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Vidic: Video difference captioning, 2026

Reference 54

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning

Reference 55

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Observation fe90e30b-33b8-4a4d-97d6-38e4e744237e · outbound

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-12T11:31:14.532101Z

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Observation 35d974e9-fbad-4f29-9edf-19989a11d0e1 · outbound

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DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 57

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Observation 68362232-eef0-45a0-8d7d-117dbab3cd1e · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 58

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Observation 202374ef-509e-477e-b184-11783a55c022 · outbound

This paper cites Mm-vet: Evaluating large multimodal models for integrated capabilities,.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Mm-vet: Evaluating large multimodal models for integrated capabilities,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-12T11:31:14.532101Z

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Observation 07445521-f978-4da4-aab1-3523623cc1f3 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-12T11:31:14.532101Z

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Observation 8e07ea42-60f6-4020-a755-7c31ab44f2d8 · outbound

This paper cites Video-LLaMA: An instruction-tuned audio-visual language model for video understanding.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Video-LLaMA: An instruction-tuned audio-visual language model for video understanding

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-12T11:31:14.532101Z

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Observation df954dac-3780-4aa4-a134-d70c850f9352 · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-12T11:31:14.532101Z

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Observation b2c170f5-5c23-4ce4-8034-1b5a9c945dfb · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-12T11:31:14.532101Z

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Observation 7f85be1a-23a9-4c37-ab92-71f14c27d7e5 · outbound

This paper cites MMVU: Measuring Expert-Level Multi-Discipline Video Understanding.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences MMVU: Measuring Expert-Level Multi-Discipline Video Understanding

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-12T11:31:14.532101Z

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Observation 365b1ffa-f52a-4c04-97fa-2d4b92d5cb56 · outbound

This paper cites MLVU: Benchmarking Multi-task Long Video Understanding.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences MLVU: Benchmarking Multi-task Long Video Understanding

Reference 65

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Observation ae38da21-5a3f-4ea7-91e8-ec12a6aa5048 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 66

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