:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sasse, Kuleen, Kayi, Efsun Sarioglu, Reddy, Arun
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2507.17047
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

To Burst or Not to Burst: Generating and Quantifying Improbable Text
by: Sasse, Kuleen, et al.
Published: (2024)

Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation
by: Wu, Shengqiong, et al.
Published: (2025)

Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding
by: Zhang, Xiaoyi, et al.
Published: (2025)

Encoding and Controlling Global Semantics for Long-form Video Question Answering
by: Nguyen, Thong Thanh, et al.
Published: (2024)

Video Panels for Long Video Understanding
by: Doorenbos, Lars, et al.
Published: (2025)

AGIC: Attention-Guided Image Captioning to Improve Caption Relevance
by: Teja, L. D. M. S. Sai, et al.
Published: (2025)

VideoAgent: Long-form Video Understanding with Large Language Model as Agent
by: Wang, Xiaohan, et al.
Published: (2024)

InstanceCap: Improving Text-to-Video Generation via Instance-aware Structured Caption
by: Fan, Tiehan, et al.
Published: (2024)

VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions
by: Matsuda, Kazuki, et al.
Published: (2025)

Enhancing Image Caption Generation Using Reinforcement Learning with Human Feedback
by: L, Adarsh N, et al.
Published: (2024)

VCA: Video Curious Agent for Long Video Understanding
by: Yang, Zeyuan, et al.
Published: (2024)

Accurate and Fast Compressed Video Captioning
by: Shen, Yaojie, et al.
Published: (2023)

Aligning Forest and Trees in Images & Long Captions for Visually Grounded Understanding
by: Woo, Byeongju, et al.
Published: (2026)

debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias
by: Sasse, Kuleen, et al.
Published: (2024)

TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
by: Zeng, Xiangyu, et al.
Published: (2024)

USV: Towards Understanding the User-generated Short-form Videos
by: Cheng, Haoyue, et al.
Published: (2026)

LVBench: An Extreme Long Video Understanding Benchmark
by: Wang, Weihan, et al.
Published: (2024)

On Explaining Visual Captioning with Hybrid Markov Logic Networks
by: Shah, Monika, et al.
Published: (2025)

SV3.3B: A Sports Video Understanding Model for Action Recognition
by: Kodathala, Sai Varun, et al.
Published: (2025)

VideoExplorer: Think With Videos For Agentic Long-Video Understanding
by: Yuan, Huaying, et al.
Published: (2025)

VidBridge-R1: Bridging QA and Captioning for RL-based Video Understanding Models with Intermediate Proxy Tasks
by: Chen, Xinlong, et al.
Published: (2025)

Pack and Force Your Memory: Long-form and Consistent Video Generation
by: Wu, Xiaofei, et al.
Published: (2025)

Unveiling the Invisible: Captioning Videos with Metaphors
by: Kalarani, Abisek Rajakumar, et al.
Published: (2024)

Describe Anything: Detailed Localized Image and Video Captioning
by: Lian, Long, et al.
Published: (2025)

Towards Fine-Grained Human Motion Video Captioning
by: Song, Guorui, et al.
Published: (2025)

FRAG: Frame Selection Augmented Generation for Long Video and Long Document Understanding
by: Huang, De-An, et al.
Published: (2025)

Stateful Token Reduction for Long-Video Hybrid VLMs
by: Jiang, Jindong, et al.
Published: (2026)

SAIL: Similarity-Aware Guidance and Inter-Caption Augmentation-based Learning for Weakly-Supervised Dense Video Captioning
by: Kim, Ye-Chan, et al.
Published: (2026)

VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding
by: Lin, Kuanwei, et al.
Published: (2026)

Think with Grounding: Curriculum Reinforced Reasoning with Video Grounding for Long Video Understanding
by: Chen, Houlun, et al.
Published: (2026)

TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding
by: Xu, Boshen, et al.
Published: (2025)

Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding
by: Li, Chenglin, et al.
Published: (2025)

ReWind: Understanding Long Videos with Instructed Learnable Memory
by: Diko, Anxhelo, et al.
Published: (2024)

Dense Video Captioning using Graph-based Sentence Summarization
by: Zhang, Zhiwang, et al.
Published: (2025)

MAMS: Model-Agnostic Module Selection Framework for Video Captioning
by: Lee, Sangho, et al.
Published: (2025)

QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design
by: Schneider, Benjamin, et al.
Published: (2025)

LVD-2M: A Long-take Video Dataset with Temporally Dense Captions
by: Xiong, Tianwei, et al.
Published: (2024)

HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video Understanding
by: Zou, Heqing, et al.
Published: (2025)

Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos
by: Fei, Jiajun, et al.
Published: (2024)

GeoSAM-3D: Geodesic Prompt Propagation for Open-Vocabulary 3D Scene Segmentation from Monocular Video
by: Sharma, Arun
Published: (2026)