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21 papers

Papers

Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input AAAI 2026 Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models ICLR 2025 Scaling Vision Pre-Training to 4K Resolution CVPR 2025 SemVink: Advancing VLMs’ Semantic Understanding of Optical Illusions via Visual Global Thinking EMNLP 2025 Task-Aware Resolution Optimization for Visual Large Language Models EMNLP 2025 The Impact of Image Resolution on Biomedical Multimodal Large Language Models MLHC 2025 Diffusion X-ray image denoising MIDL 2024 LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate NeurIPS 2024 Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models CVPR 2024 Large-to-Small Image Resolution Asymmetry in Deep Metric Learning WACV 2023 Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers MIDL 2022 Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging CVPR 2021 Exploiting Aliasing for Manga Restoration CVPR 2021 Improved Techniques for Training Single-Image GANs WACV 2021 Deepstrip: High-Resolution Boundary Refinement CVPR 2020 Learning When and Where to Zoom With Deep Reinforcement Learning CVPR 2020 Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications ICCV 2019 Fixing the train-test resolution discrepancy NeurIPS 2019 Dynamic Zoom-In Network for Fast Object Detection in Large Images CVPR 2018 Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes CVPR 2017 Similarity-Aware Patchwork Assembly for Depth Image Super-Resolution CVPR 2014