activity
20242026
collaborators

11 papers

math.AC2026

Gorenstein Prüfer domains with non-Prüfer integral closure

Hwankoo Kim

There exists a one-dimensional local Gorenstein Prüfer domain whose integral closure is not Prüfer. We prove that the recently constructed coherent counterexample to the normalizat…

cs.CV2026

Revisiting Shadow Detection from a Vision-Language Perspective

Yonghui Wang, Shaokai Liu, Wengang Zhou +2

Shadow detection is commonly formulated as a vision-driven dense prediction problem, where models rely primarily on pixel-wise visual supervision to distinguish shadows from non-sh…

cs.CV2026

Chronicles-OCR: A Cross-Temporal Perception Benchmark for the Evolutionary Trajectory of Chinese Characters

Gengluo Li, Shangpin Peng, Xingyu Wan +16

Vision Large Language Models (VLLMs) have achieved remarkable success in modern text-rich visual understanding. However, their perceptual robustness in the face of the continuous m…

cs.CV2026

BookNet: Book Image Rectification via Cross-Page Attention Network

Shaokai Liu, Hao Feng, Bozhi Luan +3

Book image rectification presents unique challenges due to its complex geometric distortions from binding constraints, where left and right pages exhibit distinctly asymmetric curv…

cs.CV2025

Multi-Cue Adaptive Visual Token Pruning for Large Vision-Language Models

Bozhi Luan, Wengang Zhou, Hao Feng +3

As the computational needs of Large Vision-Language Models (LVLMs) increase, visual token pruning has proven effective in improving inference speed and memory efficiency. Tradition…

cs.CV2024

AdaptVision: Dynamic Input Scaling in MLLMs for Versatile Scene Understanding

Yonghui Wang, Wengang Zhou, Hao Feng +1

Over the past few years, the advancement of Multimodal Large Language Models (MLLMs) has captured the wide interest of researchers, leading to numerous innovations to enhance MLLMs…

cs.CV2024

LaneTCA: Enhancing Video Lane Detection with Temporal Context Aggregation

Keyi Zhou, Li Li, Wengang Zhou +3

In video lane detection, there are rich temporal contexts among successive frames, which is under-explored in existing lane detectors. In this work, we propose LaneTCA to bridge th…

cs.CV2024

RoFIR: Robust Fisheye Image Rectification Framework Impervious to Optical Center Deviation

Zhaokang Liao, Hao Feng, Shaokai Liu +2

Fisheye images are categorized fisheye into central and deviated based on the optical center position. Existing rectification methods are limited to central fisheye images, while t…

cs.CV2024

Progressive Multi-modal Conditional Prompt Tuning

Xiaoyu Qiu, Hao Feng, Yuechen Wang +2

Pre-trained vision-language models (VLMs) have shown remarkable generalization capabilities via prompting, which leverages VLMs as knowledge bases to extract information beneficial…

cs.CV2024

TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding

Bozhi Luan, Hao Feng, Hong Chen +3

The advent of Large Multimodal Models (LMMs) has sparked a surge in research aimed at harnessing their remarkable reasoning abilities. However, for understanding text-rich images,…

cs.CV2024

DeepEraser: Deep Iterative Context Mining for Generic Text Eraser

Hao Feng, Wendi Wang, Shaokai Liu +3

In this work, we present DeepEraser, an effective deep network for generic text removal. DeepEraser utilizes a recurrent architecture that erases the text in an image via iterative…