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20192025
most citedThe 1st Agriculture-Vision Challenge: Methods and Results

6 citations · 6 across the 2 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

UniSER: A Foundation Model for Unified Soft Effects Removal

Jingdong Zhang, Lingzhi Zhang, Qing Liu +12

Digital images are often degraded by soft effects such as lens flare, haze, shadows, and reflections, which reduce aesthetics even though the underlying pixels remain partially vis…

cs.CV20206 cited

The 1st Agriculture-Vision Challenge: Methods and Results

Mang Tik Chiu, Xingqian Xu, Kai Wang +39

The first Agriculture-Vision Challenge aims to encourage research in developing novel and effective algorithms for agricultural pattern recognition from aerial images, especially f…

cs.CV2020

Deep Affinity Net: Instance Segmentation via Affinity

Xingqian Xu, Mang Tik Chiu, Thomas S. Huang +1

Most of the modern instance segmentation approaches fall into two categories: region-based approaches in which object bounding boxes are detected first and later used in cropping a…

cs.CV2020

Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis

Mang Tik Chiu, Xingqian Xu, Yunchao Wei +12

The success of deep learning in visual recognition tasks has driven advancements in multiple fields of research. Particularly, increasing attention has been drawn towards its appli…

cs.CV2019

LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup

Qiao Gu, Guanzhi Wang, Mang Tik Chiu +2

We propose a local adversarial disentangling network (LADN) for facial makeup and de-makeup. Central to our method are multiple and overlapping local adversarial discriminators in…