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Yu Tian

Rutgers University

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation


Sep 03, 2021
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

* Submit to IEEE Transactions on Medical Imaging (TMI); Under Review 

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Dual Projection Generative Adversarial Networks for Conditional Image Generation


Aug 20, 2021
Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris Metaxas

* Accepted at ICCV-21 

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Networked Federated Multi-Task Learning


May 26, 2021
Yasmin SarcheshmehPour, Yu Tian, Linli Zhang, Alexander Jung


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RadioNet: Transformer based Radio Map Prediction Model For Dense Urban Environments


May 15, 2021
Yu Tian, Shuai Yuan, Weisheng Chen, Naijin Liu


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Mean Field MARL Based Bandwidth Negotiation Method for Massive Devices Spectrum Sharing


Apr 30, 2021
Tianhao Li, Yu Tian, Shuai Yuan, Naijin Liu


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A Good Image Generator Is What You Need for High-Resolution Video Synthesis


Apr 30, 2021
Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris N. Metaxas, Sergey Tulyakov

* Accepted to ICLR 2021 

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Noise Attention based Spectrum Anomaly Detection Method for Unauthorized Bands


Apr 17, 2021
Jing Xu, Yu Tian, Shuai Yuan, Naijin Liu

* 6 pages, 4 figures 

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Noisy Label Learning for Large-scale Medical Image Classification


Mar 06, 2021
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro


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Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification


Mar 05, 2021
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro


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Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images


Mar 05, 2021
Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong chen, Seon Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

* 10 pages; Under Review 

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Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors


Jan 25, 2021
Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro


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Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features


Jan 25, 2021
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro


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Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning


Jan 09, 2021
Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon Ho Shin, Rajvinder Singh, Gustavo Carneiro

* Preprint to submit to IEEE journals 

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Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy


Jun 26, 2020
Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

* Accept at MICCAI 2020 

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Applying Deep-Learning-Based Computer Vision to Wireless Communications: Methodologies, Opportunities, and Challenges


Jun 10, 2020
Yu Tian, Gaofeng Pan, Mohamed-Slim Alouini


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Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario


Mar 19, 2020
Yu Tian, Kunbo Zhang, Leyuan Wang, Zhenan Sun

* 14pages,8figures 

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Photoshopping Colonoscopy Video Frames


Oct 23, 2019
Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Z. C. T. Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

* Submitted to ISBI 2020 

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Rethinking Kernel Methods for Node Representation Learning on Graphs


Oct 06, 2019
Yu Tian, Long Zhao, Xi Peng, Dimitris N. Metaxas

* Accepted to NeurIPS 2019. The first two authors contributed equally. The source code is publicly available at https://github.com/bluer555/KernelGCN 

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Semantic Graph Convolutional Networks for 3D Human Pose Regression


Apr 06, 2019
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas

* In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (13 pages including supplementary material) 

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Learning to Forecast and Refine Residual Motion for Image-to-Video Generation


Jul 26, 2018
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris Metaxas

* 17 pages, 8 figures, 4 tables, accepted by ECCV 2018 

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CR-GAN: Learning Complete Representations for Multi-view Generation


Jun 28, 2018
Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas

* 7 pages, 9 figures, accepted by IJCAI 2018 

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