:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rojas, Mateo Alejandro, Carranza, Rafael
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2406.17047
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Figuring out Figures: Using Textual References to Caption Scientific Figures
by: Cao, Stanley, et al.
Published: (2024)

Distractors-Immune Representation Learning with Cross-modal Contrastive Regularization for Change Captioning
by: Tu, Yunbin, et al.
Published: (2024)

The Solution for the ICCV 2023 1st Scientific Figure Captioning Challenge
by: Chao, Dian, et al.
Published: (2024)

Personalized Scientific Figure Caption Generation: An Empirical Study on Author-Specific Writing Style Transfer
by: Kim, Jaeyoung, et al.
Published: (2025)

SCA3D: Enhancing Cross-modal 3D Retrieval via 3D Shape and Caption Paired Data Augmentation
by: Ren, Junlong, et al.
Published: (2025)

FigEx2: Visual-Conditioned Panel Detection and Captioning for Scientific Compound Figures
by: Song, Jifeng, et al.
Published: (2026)

Stacked Cross-modal Feature Consolidation Attention Networks for Image Captioning
by: Pourkeshavarz, Mozhgan, et al.
Published: (2023)

Five Years of SciCap: What We Learned and Future Directions for Scientific Figure Captioning
by: Huang, Ting-Hao 'Kenneth', et al.
Published: (2025)

Enhancing Scientific Visual Question Answering via Vision-Caption aware Supervised Fine-Tuning
by: Kapuriya, Janak, et al.
Published: (2025)

MV-CoRe: Multimodal Visual-Conceptual Reasoning for Complex Visual Question Answering
by: Peng, Jingwei, et al.
Published: (2025)

Enhanced Cross-modal 3D Retrieval via Tri-modal Reconstruction
by: Ren, Junlong, et al.
Published: (2025)

Multi-LLM Collaborative Caption Generation in Scientific Documents
by: Kim, Jaeyoung, et al.
Published: (2025)

Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023
by: Hsu, Ting-Yao E., et al.
Published: (2025)

Multimodal LLM Enhanced Cross-lingual Cross-modal Retrieval
by: Wang, Yabing, et al.
Published: (2024)

CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning
by: Huang, Haojian, et al.
Published: (2024)

CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions
by: Liu, Yanqing, et al.
Published: (2024)

T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
by: Qian, Yifei, et al.
Published: (2025)

SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning
by: Zhang, Runmin, et al.
Published: (2024)

AnyCap Project: A Unified Framework, Dataset, and Benchmark for Controllable Omni-modal Captioning
by: Ren, Yiming, et al.
Published: (2025)

SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning
by: Zhang, Lin, et al.
Published: (2025)

Multi-modal Generation via Cross-Modal In-Context Learning
by: Kumar, Amandeep, et al.
Published: (2024)

Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation
by: Zheng, Xu, et al.
Published: (2024)

Hierarchical Cross-modal Prompt Learning for Vision-Language Models
by: Zheng, Hao, et al.
Published: (2025)

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles
by: Ng, Ho Yin 'Sam', et al.
Published: (2025)

BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature
by: Lozano, Alejandro, et al.
Published: (2025)

Aesthetic Image Captioning with Saliency Enhanced MLLMs
by: Tao, Yilin, et al.
Published: (2025)

CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models
by: Huang, Junming, et al.
Published: (2026)

Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition
by: He, Wen-Jue, et al.
Published: (2025)

Deep Reversible Consistency Learning for Cross-modal Retrieval
by: Pu, Ruitao, et al.
Published: (2025)

CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding
by: Liu, Yunze, et al.
Published: (2024)

Test-time Distribution Learning Adapter for Cross-modal Visual Reasoning
by: Zhang, Yi, et al.
Published: (2024)

Cross-modal learning for plankton recognition
by: Kareinen, Joona, et al.
Published: (2026)

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
by: Wang, Hu, et al.
Published: (2023)

Enhancing Descriptive Captions with Visual Attributes for Multimodal Perception
by: Sun, Yanpeng, et al.
Published: (2024)

Caption-Matching: A Multimodal Approach for Cross-Domain Image Retrieval
by: Iijima, Lucas, et al.
Published: (2024)

Robust Diagram Reasoning: A Framework for Enhancing LVLM Performance on Visually Perturbed Scientific Diagrams
by: Zhou, Minghao, et al.
Published: (2025)

CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation
by: Zhao, Lingjun, et al.
Published: (2024)

Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds
by: Zhao, Zhipeng, et al.
Published: (2022)

Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment
by: Zhang, Ming, et al.
Published: (2024)

Explainable, Multi-modal Wound Infection Classification from Images Augmented with Generated Captions
by: Busaranuvong, Palawat, et al.
Published: (2025)