110 citations · 189 across the 19 of their papers we have counts for
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cs.CV2026
IEA: Amateur-Friendly Conversational Image Editing Agent via Three Stages of Multitask Alignment
Zichen Zhu, Yuheng Sun, Mingxuan Zhu +11
Current image editing software often hinges on fixed filters or expert tuning, leaving a gap between amateur users' intent and outcomes. Creations by generative models may contain…
cs.CV2020★ 3 cited
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation
Zhangxuan Gu, Siyuan Zhou, Li Niu +2
Zero-shot learning has been actively studied for image classification task to relieve the burden of annotating image labels. Interestingly, semantic segmentation task requires more…
cs.CV2020★ 110 cited
Context-aware Feature Generation for Zero-shot Semantic Segmentation
Zhangxuan Gu, Siyuan Zhou, Li Niu +2
Existing semantic segmentation models heavily rely on dense pixel-wise annotations. To reduce the annotation pressure, we focus on a challenging task named zero-shot semantic segme…