← Search

Xianjie Liu

3 accepted papers

2026

E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs

ICML 2026poster

E-commerce short videos represent a high-revenue segment of the online video industry characterized by a goal-driven format and dense multi-modal signals. Current models often struggle with these videos because existing benchmarks focus primarily on general-purpose tasks and neglect the reasoning of…

Cited by 1SourceScholar
2026

HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling

ICML 2026poster

Multimodal Large Language Models (MLLMs) have made substantial progress on visual understanding tasks, yet they still perform poorly on high-resolution images. Prior work often attributes this limitation to perceptual constraints, arguing that MLLMs fail to recognize small objects and therefore rely…

Cited by 0SourceScholar
2026

High-Precision Dichotomous Image Segmentation via Depth Integrity-Prior and Fine-Grained Patch Strategy

CVPR 2026

High-precision dichotomous image segmentation (DIS) is a task of extracting fine-grained objects from high-resolution images.Existing methods trade efficiency for accuracy: non-diffusion methods are fast but suffer from weak semantics and unstable spatial priors, causing false detections; diffusion-

Cited by 0SourcecodeScholar