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20192023
most citedContext-aware Feature Generation for Zero-shot Semantic Segmentation

110 citations · 331 across the 35 of their papers we have counts for

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Showing 2022Show all

12 papers · 1 filter

cs.CV2022★ 4 cited

Weak-shot Semantic Segmentation via Dual Similarity Transfer

Junjie Chen, Li Niu, Siyuan Zhou +3

Semantic segmentation is an important and prevalent task, but severely suffers from the high cost of pixel-level annotations when extending to more classes in wider applications. T…

cs.CV2022

Inharmonious Region Localization via Recurrent Self-Reasoning

Penghao Wu, Li Niu, Jing Liang +1

Synthetic images created by image editing operations are prevalent, but the color or illumination inconsistency between the manipulated region and background may make it unrealisti…

cs.CV2022★ 2 cited

Inharmonious Region Localization with Auxiliary Style Feature

Penghao Wu, Li Niu, Liqing Zhang

With the prevalence of image editing techniques, users can create fantastic synthetic images, but the image quality may be compromised by the color/illumination discrepancy between…

cs.CV2022★ 4 cited

DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta

Yan Hong, Li Niu, Jianfu Zhang +1

Learning to generate new images for a novel category based on only a few images, named as few-shot image generation, has attracted increasing research interest. Several state-of-th…

cs.CV2022

Learning Object Placement via Dual-path Graph Completion

Siyuan Zhou, Liu Liu, Li Niu +1

Object placement aims to place a foreground object over a background image with a suitable location and size. In this work, we treat object placement as a graph completion problem…

cs.CV2022★ 1 cited

Few-shot Image Generation Using Discrete Content Representation

Yan Hong, Li Niu, Jianfu Zhang +1

Few-shot image generation and few-shot image translation are two related tasks, both of which aim to generate new images for an unseen category with only a few images. In this work…