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20212023
most citedBoundary-aware Transformers for Skin Lesion Segmentation

136 citations · 138 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Single-View View Synthesis with Self-Rectified Pseudo-Stereo

Yang Zhou, Hanjie Wu, Wenxi Liu +3

Synthesizing novel views from a single view image is a highly ill-posed problem. We discover an effective solution to reduce the learning ambiguity by expanding the single-view vie…

cs.CV2022

Editing Out-of-domain GAN Inversion via Differential Activations

Haorui Song, Yong Du, Tianyi Xiang +3

Despite the demonstrated editing capacity in the latent space of a pretrained GAN model, inverting real-world images is stuck in a dilemma that the reconstruction cannot be faithfu…

eess.IV2022

A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

Zhi Lin, Junhao Lin, Lei Zhu +3

Breast lesion detection in ultrasound is critical for breast cancer diagnosis. Existing methods mainly rely on individual 2D ultrasound images or combine unlabeled video and labele…

eess.IV2021★ 136 cited

Boundary-aware Transformers for Skin Lesion Segmentation

Jiacheng Wang, Lan Wei, Liansheng Wang +3

Skin lesion segmentation from dermoscopy images is of great importance for improving the quantitative analysis of skin cancer. However, the automatic segmentation of melanoma is a…

cs.CV2021★ 2 cited

Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting

Yongtuo Liu, Sucheng Ren, Liangyu Chai +4

Labeling is onerous for crowd counting as it should annotate each individual in crowd images. Recently, several methods have been proposed for semi-supervised crowd counting to red…