activity
20182022
most citedForeground-aware Image Inpainting

23 citations · 30 across the 5 of their papers we have counts for

collaborators

7 papers

eess.IV2022

Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders

Wei Xiong, Neil Yeung, Shubo Wang +3

Objective and Impact Statement. We adopt a deep learning model for bone osteolysis prediction on computed tomography (CT) images of murine breast cancer bone metastases. Given the…

cs.CV2020

Image Sentiment Transfer

Tianlang Chen, Wei Xiong, Haitian Zheng +1

In this work, we introduce an important but still unexplored research task -- image sentiment transfer. Compared with other related tasks that have been well-studied, such as image…

cs.CV20204 cited

Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision

Haitian Zheng, Haofu Liao, Lele Chen +3

Example-guided image synthesis has recently been attempted to synthesize an image from a semantic label map and an exemplary image. In the task, the additional exemplar image provi…

cs.CV2020

Fine-grained Image-to-Image Transformation towards Visual Recognition

Wei Xiong, Yutong He, Yixuan Zhang +3

Existing image-to-image transformation approaches primarily focus on synthesizing visually pleasing data. Generating images with correct identity labels is challenging yet much les…

cs.CV20193 cited

Example-Guided Scene Image Synthesis using Masked Spatial-Channel Attention and Patch-Based Self-Supervision

Haitian Zheng, Haofu Liao, Lele Chen +3

Example-guided image synthesis has been recently attempted to synthesize an image from a semantic label map and an exemplary image. In the task, the additional exemplary image serv…

cs.CV201923 cited

Foreground-aware Image Inpainting

Wei Xiong, Jiahui Yu, Zhe Lin +4

Existing image inpainting methods typically fill holes by borrowing information from surrounding pixels. They often produce unsatisfactory results when the holes overlap with or to…