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Chenxu Li

2 accepted papers

2026

Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input

AAAI 2026technical

Multimodal Large Language Models (MLLMs) increasingly support dynamic image resolutions. However, current evaluation paradigms primarily assess semantic performance, overlooking the critical question of resolution robustness - whether performance remains stable across varying input resolutions. To a

Cited by 0SourcePDFScholar
2025

MAITFuse: Multi-Dimension Adaptive Interaction Transform Network For Infrared-visible Image Fusion

ICASSP 2025accepted

In recent years, Transformers have achieved significant success in image fusion. These methods utilize self-attention mechanism across different spatial or channel dimensions and have demonstrated impressive performance. However, existing methods only optimize along a single dimension and struggle t…

Cited by 0SourceScholar