Cover Image

HowToCaption: Prompting LLMs to Transform Video Annotations at Scale

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shvetsova, Nina, Kukleva, Anna, Hong, Xudong, Rupprecht, Christian, Schiele, Bernt, Kuehne, Hilde
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks
by: Shvetsova, Nina, et al.
Published: (2025)

VideoGEM: Training-free Action Grounding in Videos
by: Vogel, Felix, et al.
Published: (2025)

MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data
by: Sheludzko, Siarhei, et al.
Published: (2026)

OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
by: Ahmed, Noor, et al.
Published: (2024)

M2SVid: End-to-End Inpainting and Refinement for Monocular-to-Stereo Video Conversion
by: Shvetsova, Nina, et al.
Published: (2025)

Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs
by: Kuzucu, Selim, et al.
Published: (2025)

When LLaVA Meets Objects: Token Composition for Vision-Language-Models
by: Jahagirdar, Soumya, et al.
Published: (2026)

Do Instance Priors Help Weakly Supervised Semantic Segmentation?
by: Das, Anurag, et al.
Published: (2026)

MaskInversion: Localized Embeddings via Optimization of Explainability Maps
by: Bousselham, Walid, et al.
Published: (2024)

What, when, and where? -- Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
by: Chen, Brian, et al.
Published: (2023)

X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization
by: Kukleva, Anna, et al.
Published: (2024)

TimeLogic: A Temporal Logic Benchmark for Video QA
by: Swetha, Sirnam, et al.
Published: (2025)

VOLD: Reasoning Transfer from LLMs to Vision-Language Models via On-Policy Distillation
by: Bousselham, Walid, et al.
Published: (2025)

RefAM: Attention Magnets for Zero-Shot Referral Segmentation
by: Kukleva, Anna, et al.
Published: (2025)

REVEAL: Relation-based Video Representation Learning for Video-Question-Answering
by: Chaybouti, Sofian, et al.
Published: (2025)

TTA-Vid: Generalized Test-Time Adaptation for Video Reasoning
by: Jahagirdar, Soumya Shamarao, et al.
Published: (2026)

B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers
by: Böhle, Moritz, et al.
Published: (2023)

How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations
by: Gairola, Siddhartha, et al.
Published: (2025)

Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions
by: Gorgun, Ada, et al.
Published: (2025)

LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
by: Bousselham, Walid, et al.
Published: (2024)

DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring
by: Dong, Jiangxin, et al.
Published: (2021)

VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow
by: Gorgun, Ada, et al.
Published: (2025)

Probing into Camera Control of Video Models
by: Hou, Chen, et al.
Published: (2026)

Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports
by: Li, Haopeng, et al.
Published: (2024)

Optimising for Interpretability: Convolutional Dynamic Alignment Networks
by: Böhle, Moritz, et al.
Published: (2021)

Towards Better Understanding Attribution Methods
by: Rao, Sukrut, et al.
Published: (2022)

B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
by: Arya, Shreyash, et al.
Published: (2024)

Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
by: Mirza, M. Jehanzeb, et al.
Published: (2024)

MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying
by: Shi, Shaoshuai, et al.
Published: (2023)

ClipTTT: CLIP-Guided Test-Time Training Helps LVLMs See Better
by: Nath, Mriganka, et al.
Published: (2026)

AIM: Amending Inherent Interpretability via Self-Supervised Masking
by: Alshami, Eyad, et al.
Published: (2025)

MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment
by: Das, Anurag, et al.
Published: (2024)

Studying How to Efficiently and Effectively Guide Models with Explanations
by: Rao, Sukrut, et al.
Published: (2023)

SceneScribe-1M: A Large-Scale Video Dataset with Comprehensive Geometric and Semantic Annotations
by: Wang, Yunnan, et al.
Published: (2026)

Convolutional Differentiable Logic Gate Networks
by: Petersen, Felix, et al.
Published: (2024)

SimNP: Learning Self-Similarity Priors Between Neural Points
by: Wewer, Christopher, et al.
Published: (2023)

Sp2360: Sparse-view 360 Scene Reconstruction using Cascaded 2D Diffusion Priors
by: Paul, Soumava, et al.
Published: (2024)

PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction Generation
by: Hu, Xinting, et al.
Published: (2025)

DEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language Models
by: Bousselham, Walid, et al.
Published: (2026)

Better Understanding Differences in Attribution Methods via Systematic Evaluations
by: Rao, Sukrut, et al.
Published: (2023)