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20152022
most citedCrossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images

109 citations · 567 across the 38 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.CV2018★ 18 cited

CariGAN: Caricature Generation through Weakly Paired Adversarial Learning

Wenbin Li, Wei Xiong, Haofu Liao +3

Caricature generation is an interesting yet challenging task. The primary goal is to generate plausible caricatures with reasonable exaggerations given face images. Conventional ca…

cs.CV2018★ 11 cited

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning

Jinquan Sun, Yinghuan Shi, Yang Gao +4

Due to low tissue contrast, irregular object appearance, and unpredictable location variation, segmenting the objects from different medical imaging modalities (e.g., CT, MR) is co…

cs.CV2018

A Multilayer Framework for Online Metric Learning

Wenbin Li, Yanfang Liu, Jing Huo +4

Online metric learning has been widely applied in classification and retrieval. It can automatically learn a suitable metric from data by restricting similar instances to be separa…

cs.CV2018★ 3 cited

Cross-Domain Adversarial Auto-Encoder

Haodi Hou, Jing Huo, Yang Gao

In this paper, we propose the Cross-Domain Adversarial Auto-Encoder (CDAAE) to address the problem of cross-domain image inference, generation and transformation. We make the assum…

cs.CV2018★ 109 cited

Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images

Qian Yu, Yinghuan Shi, Jinquan Sun +3

Due to the irregular motion, similar appearance and diverse shape, accurate segmentation of kidney tumor in CT images is a difficult and challenging task. To this end, we present a…

cs.CV2018★ 61 cited

MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification

Lei Qi, Jing Huo, Lei Wang +2

Person retrieval faces many challenges including cluttered background, appearance variations (e.g., illumination, pose, occlusion) among different camera views and the similarity a…