activity
20192022
most citedSpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

35 citations · 50 across the 9 of their papers we have counts for

collaborators

14 papers

cs.CV20222 cited

QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation

Xueqi Hu, Xinyue Zhou, Qiusheng Huang +3

Unpaired image-to-image (I2I) translation often requires to maximize the mutual information between the source and the translated images across different domains, which is critical…

cs.CV20222 cited

Style Transformer for Image Inversion and Editing

Xueqi Hu, Qiusheng Huang, Zhengyi Shi +4

Existing GAN inversion methods fail to provide latent codes for reliable reconstruction and flexible editing simultaneously. This paper presents a transformer-based image inversion…

cs.CV2021

Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation

Qiusheng Huang, Zhilin Zheng, Xueqi Hu +2

The image-to-image translation (I2IT) model takes a target label or a reference image as the input, and changes a source into the specified target domain. The two types of synthesi…

cs.CV2021

LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation

Qiusheng Huang, Xueqi Hu, Li Sun +1

Image-to-image (I2I) translation is usually carried out among discrete domains. However, image domains, often corresponding to a physical value, are usually continuous. In other wo…

cs.MM2021

Angel's Girl for Blind Painters: an Efficient Painting Navigation System Validated by Multimodal Evaluation Approach

Hang Liu, Menghan Hu, Yuzhen Chen +5

For people who ardently love painting but unfortunately have visual impairments, holding a paintbrush to create a work is a very difficult task. People in this special group are ea…

cs.CV202110 cited

TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation

Yao Chang, Hu Menghan, Zhai Guangtao +1

In recent years, computer-aided diagnosis has become an increasingly popular topic. Methods based on convolutional neural networks have achieved good performance in medical image s…