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Linghe Kong

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Preprint Sep 2026

Discrete Annotation, Continuous Preference: Rethinking Supervision for Accurate and Generalizable Aesthetic Image Cropping

Aesthetic image cropping aims to identify the optimal crop of an image in terms of aesthetics and composition. While supervision based on annotated data is fundamental, the field has been hindered by a long-standing problem: existing datasets suffer from (1) human subjectivity and (2) rigid discreteness confined to fix...

Zi-Qing Zhang, Xiao Liu, Kai Liu et al. · 0 citations
Preprint Aug 2026

ET-Prune: Evidence-Aware Dynamic Budgeting for Visual Token Pruning in Text-Rich MLLMs

Visual token pruning reduces the inference cost of multimodal large language models, but a fixed token ratio is poorly matched to text-rich inputs. In OCR-centric tasks, decisive evidence can be a small number, label, or field whose relevance is specified by the question; indiscriminate pruning can erase that evidence...

Zizhong Ding, Junxian Li, Kai Liu et al. · 0 citations
Jul 2026

FreqForcing: Autoregressive Long Video Generation via Spectral Self-Anchoring

The proposed FreqForcing is a training-free framework that addresses error accumulation in long-video generation via Spectral Self-Anchoring (SSA), which leverages the low-frequency components of anchor attention to maintain long-horizon visual stability, while preserving dynamic motion through the high-frequency compo...

Jia-Tong Li, Leo Liang, Linghe Kong et al. · 1 citation

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