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20192026
most citedRecognition Of Surface Defects On Steel Sheet Using Transfer Learning

15 citations · 20 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Think in Sets for Streaming Video Token Compression

Moxu Duan, Jingwen Fu, Yuwang Wang

Streaming VideoLLMs process frames causally while visual tokens grow continuously, making compression essential for controlling prefilling latency and memory. Existing training-fre…

cs.CV2022★ 1 cited

StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition

Yanqing Shen, Sanping Zhou, Jingwen Fu +3

Visual place recognition (VPR) is usually considered as a specific image retrieval problem. Limited by existing training frameworks, most deep learning-based works cannot extract s…

cs.CV2021★ 2 cited

Understanding Mobile GUI: from Pixel-Words to Screen-Sentences

Jingwen Fu, Xiaoyi Zhang, Yuwang Wang +3

The ubiquity of mobile phones makes mobile GUI understanding an important task. Most previous works in this domain require human-created metadata of screens (e.g. View Hierarchy) d…

cs.CV2019

Model Adaption Object Detection System for Robot

Jingwen Fu, Licheng Zong, Yinbing Li +3

Object detection for robot guidance is a crucial mission for autonomous robots, which has provoked extensive attention for researchers. However, the changing view of robot movement…

cs.CV2019★ 15 cited

Recognition Of Surface Defects On Steel Sheet Using Transfer Learning

Jingwen Fu, Xiaoyan Zhu, Yingbin Li

Automatic defect recognition is one of the research hotspots in steel production, but most of the current methods mainly extract features manually and use machine learning classifi…