110 citations · 365 across the 58 of their papers we have counts for
14 papers · 1 filter
Painterly Image Harmonization in Dual Domains
Junyan Cao, Yan Hong, Li Niu
Image harmonization aims to produce visually harmonious composite images by adjusting the foreground appearance to be compatible with the background. When the composite image has p…
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…
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…
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…
Inharmonious Region Localization by Magnifying Domain Discrepancy
Jing Liang, Li Niu, Penghao Wu +2
Inharmonious region localization aims to localize the region in a synthetic image which is incompatible with surrounding background. The inharmony issue is mainly attributed to the…
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…
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…
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…
Human-centric Image Cropping with Partition-aware and Content-preserving Features
Bo Zhang, Li Niu, Xing Zhao +1
Image cropping aims to find visually appealing crops in an image, which is an important yet challenging task. In this paper, we consider a specific and practical application: human…
Spatial Transformation for Image Composition via Correspondence Learning
Bo Zhang, Yue Liu, Kaixin Lu +2
When using cut-and-paste to acquire a composite image, the geometry inconsistency between foreground and background may severely harm its fidelity. To address the geometry inconsis…
CcHarmony: Color-checker based Image Harmonization Dataset
Haoxu Huang, Li Niu
Image harmonization targets at adjusting the foreground in a composite image to make it compatible with the background, producing a more realistic and harmonious image. Training de…
From Representation to Reasoning: Towards both Evidence and Commonsense Reasoning for Video Question-Answering
Jiangtong Li, Li Niu, Liqing Zhang
Video understanding has achieved great success in representation learning, such as video caption, video object grounding, and video descriptive question-answer. However, current me…
Fast Object Placement Assessment
Li Niu, Qingyang Liu, Zhenchen Liu +1
Object placement assessment (OPA) aims to predict the rationality score of a composite image in terms of the placement (e.g., scale, location) of inserted foreground object. Howeve…
Deep Video Harmonization with Color Mapping Consistency
Xinyuan Lu, Shengyuan Huang, Li Niu +2
Video harmonization aims to adjust the foreground of a composite video to make it compatible with the background. So far, video harmonization has only received limited attention an…