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20212025
most citedCLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

318 citations · 352 across the 21 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 2 cited

AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation

Siwei Yang, Longlong Jing, Junfei Xiao +3

The weakly supervised instance segmentation is a challenging task. The existing methods typically use bounding boxes as supervision and optimize the network with a regularization l…

cs.CV2022★ 2 cited

1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation Track

Junfei Xiao, Zhichao Xu, Shiyi Lan +3

This report describes the winning solution to the Robust Vision Challenge (RVC) semantic segmentation track at ECCV 2022. Our method adopts the FAN-B-Hybrid model as the encoder an…

eess.IV2022★ 2 cited

Synthetic Tumors Make AI Segment Tumors Better

Qixin Hu, Junfei Xiao, Yixiong Chen +4

We develop a novel strategy to generate synthetic tumors. Unlike existing works, the tumors generated by our strategy have two intriguing advantages: (1) realistic in shape and tex…

cs.CV2022★ 6 cited

Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification

Junfei Xiao, Yutong Bai, Alan Yuille +1

Vision Transformer (ViT) has become one of the most popular neural architectures due to its great scalability, computational efficiency, and compelling performance in many vision t…

cs.CV2022★ 2 cited

Masked Autoencoders Enable Efficient Knowledge Distillers

Yutong Bai, Zeyu Wang, Junfei Xiao +5

This paper studies the potential of distilling knowledge from pre-trained models, especially Masked Autoencoders. Our approach is simple: in addition to optimizing the pixel recons…