Saved in:
| Main Author: | Haggett, Dustin M. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.00875 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ChartEye: A Deep Learning Framework for Chart Information Extraction
by: Mustafa, Osama, et al.
Published: (2024)
by: Mustafa, Osama, et al.
Published: (2024)
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
by: Masry, Ahmed, et al.
Published: (2024)
by: Masry, Ahmed, et al.
Published: (2024)
Real-Time Fusion of Visual and Chart Data for Enhanced Maritime Vision
by: Kreis, Marten, et al.
Published: (2025)
by: Kreis, Marten, et al.
Published: (2025)
Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers
by: Gandhi, Sanket, et al.
Published: (2024)
by: Gandhi, Sanket, et al.
Published: (2024)
RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences
by: Najafi, Sina, et al.
Published: (2025)
by: Najafi, Sina, et al.
Published: (2025)
START: Spatial and Textual Learning for Chart Understanding
by: Liu, Zhuoming, et al.
Published: (2025)
by: Liu, Zhuoming, et al.
Published: (2025)
Chart-FR1: Visual Focus-Driven Fine-Grained Reasoning on Dense Charts
by: Pan, Hongkun, et al.
Published: (2026)
by: Pan, Hongkun, et al.
Published: (2026)
InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
by: Xie, Tianchi, et al.
Published: (2025)
by: Xie, Tianchi, et al.
Published: (2025)
CHARTOM: A Visual Theory-of-Mind Benchmark for LLMs on Misleading Charts
by: Bharti, Shubham, et al.
Published: (2024)
by: Bharti, Shubham, et al.
Published: (2024)
ChartM$^3$: Benchmarking Chart Editing with Multimodal Instructions
by: Yang, Donglu, et al.
Published: (2025)
by: Yang, Donglu, et al.
Published: (2025)
AskChart: Universal Chart Understanding through Textual Enhancement
by: Yang, Xudong, et al.
Published: (2024)
by: Yang, Xudong, et al.
Published: (2024)
Steerable Visual Representations
by: Ruthardt, Jona, et al.
Published: (2026)
by: Ruthardt, Jona, et al.
Published: (2026)
Visual Representation Learning with Stochastic Frame Prediction
by: Jang, Huiwon, et al.
Published: (2024)
by: Jang, Huiwon, et al.
Published: (2024)
Cluster Contrast for Unsupervised Visual Representation Learning
by: Giakoumoglou, Nikolaos, et al.
Published: (2025)
by: Giakoumoglou, Nikolaos, et al.
Published: (2025)
Revisiting Feature Prediction for Learning Visual Representations from Video
by: Bardes, Adrien, et al.
Published: (2024)
by: Bardes, Adrien, et al.
Published: (2024)
Deep Learning-Based Facial Expression Recognition for the Elderly: A Systematic Review
by: Gaya-Morey, F. Xavier, et al.
Published: (2025)
by: Gaya-Morey, F. Xavier, et al.
Published: (2025)
Chart-R1: Chain-of-Thought Supervision and Reinforcement for Advanced Chart Reasoner
by: Chen, Lei, et al.
Published: (2025)
by: Chen, Lei, et al.
Published: (2025)
Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction Tuning
by: Zeng, Xingchen, et al.
Published: (2024)
by: Zeng, Xingchen, et al.
Published: (2024)
ChartCap: Mitigating Hallucination of Dense Chart Captioning
by: Lim, Junyoung, et al.
Published: (2025)
by: Lim, Junyoung, et al.
Published: (2025)
mChartQA: A universal benchmark for multimodal Chart Question Answer based on Vision-Language Alignment and Reasoning
by: Wei, Jingxuan, et al.
Published: (2024)
by: Wei, Jingxuan, et al.
Published: (2024)
Granular-ball Representation Learning for Deep CNN on Learning with Label Noise
by: Dai, Dawei, et al.
Published: (2024)
by: Dai, Dawei, et al.
Published: (2024)
Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning
by: Sun, Jingbo, et al.
Published: (2026)
by: Sun, Jingbo, et al.
Published: (2026)
Video Representation Learning with Joint-Embedding Predictive Architectures
by: Drozdov, Katrina, et al.
Published: (2024)
by: Drozdov, Katrina, et al.
Published: (2024)
Attributes-aware Visual Emotion Representation Learning
by: Maharjan, Rahul Singh, et al.
Published: (2025)
by: Maharjan, Rahul Singh, et al.
Published: (2025)
Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code Generation
by: Chen, Lei, et al.
Published: (2025)
by: Chen, Lei, et al.
Published: (2025)
Trimodal Deep Learning for Glioma Survival Prediction: A Feasibility Study Integrating Histopathology, Gene Expression, and MRI
by: Swift, Iain, et al.
Published: (2026)
by: Swift, Iain, et al.
Published: (2026)
ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding
by: Kondic, Jovana, et al.
Published: (2026)
by: Kondic, Jovana, et al.
Published: (2026)
ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation
by: Kondic, Jovana, et al.
Published: (2025)
by: Kondic, Jovana, et al.
Published: (2025)
MetaCOG: A Hierarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations
by: Berke, Marlene D., et al.
Published: (2021)
by: Berke, Marlene D., et al.
Published: (2021)
ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
by: Xu, Zhengzhuo, et al.
Published: (2024)
by: Xu, Zhengzhuo, et al.
Published: (2024)
Learning Physical Dynamics for Object-centric Visual Prediction
by: Xu, Huilin, et al.
Published: (2024)
by: Xu, Huilin, et al.
Published: (2024)
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding
by: Huang, Kung-Hsiang, et al.
Published: (2025)
by: Huang, Kung-Hsiang, et al.
Published: (2025)
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
by: Tartaglini, Alexa R., et al.
Published: (2023)
by: Tartaglini, Alexa R., et al.
Published: (2023)
Semore: VLM-guided Enhanced Semantic Motion Representations for Visual Reinforcement Learning
by: Wang, Wentao, et al.
Published: (2025)
by: Wang, Wentao, et al.
Published: (2025)
Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning
by: Wei, Yibing, et al.
Published: (2024)
by: Wei, Yibing, et al.
Published: (2024)
Deep Learning in Dental Image Analysis: A Systematic Review of Datasets, Methodologies, and Emerging Challenges
by: Zhou, Zhenhuan, et al.
Published: (2025)
by: Zhou, Zhenhuan, et al.
Published: (2025)
Chart Deep Research in LVLMs via Parallel Relative Policy Optimization
by: Tang, Jiajin, et al.
Published: (2026)
by: Tang, Jiajin, et al.
Published: (2026)
ChartHal: A Fine-grained Framework Evaluating Hallucination of Large Vision Language Models in Chart Understanding
by: Wang, Xingqi, et al.
Published: (2025)
by: Wang, Xingqi, et al.
Published: (2025)
ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering
by: Wu, Yifan, et al.
Published: (2024)
by: Wu, Yifan, et al.
Published: (2024)
Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images
by: Bunnell, Arianna, et al.
Published: (2024)
by: Bunnell, Arianna, et al.
Published: (2024)
Similar Items
-
ChartEye: A Deep Learning Framework for Chart Information Extraction
by: Mustafa, Osama, et al.
Published: (2024) -
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
by: Masry, Ahmed, et al.
Published: (2024) -
Real-Time Fusion of Visual and Chart Data for Enhanced Maritime Vision
by: Kreis, Marten, et al.
Published: (2025) -
Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers
by: Gandhi, Sanket, et al.
Published: (2024) -
RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences
by: Najafi, Sina, et al.
Published: (2025)