| Equalized focal loss for dense long-tailed object detection B Li, Y Yao, J Tan, G Zhang, F Yu, J Lu, Y Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 90 | 2022 |
| Synthetic medical images using F&BGAN for improved lung nodules classification by multi-scale VGG16 D Zhao, D Zhu, J Lu, Y Luo, G Zhang Symmetry 10 (10), 519, 2018 | 84 | 2018 |
| Saliency Density Maximization for Efficient Visual Objects Discovery Y Luo, J Yuan, P Xue, Q Tian IEEE Trans. on Circuits and System for Video Technology 21, 1822-1834, 2011 | 61 | 2011 |
| DSM: A deep supervised multi-scale network learning for skin cancer segmentation G Zhang, X Shen, S Chen, L Liang, Y Luo, J Yu, J Lu IEEE Access 7, 140936-140945, 2019 | 52 | 2019 |
| Detecting "Smart" Spammers On Social Network: A Topic Model Approach L Liu, Y Lu, Y Luo, R Zhang, L Itti, J Lu Proceedings of the NAACL Student Research Workshop, 2016 | 45 | 2016 |
| A coarse-to-fine fully convolutional neural network for fundus vessel segmentation J Lu, Y Xu, M Chen, Y Luo Symmetry 10 (11), 607, 2018 | 35 | 2018 |
| Saliency Density Maximization for Object Detection and Localization Y Luo, J Yuan, P Xue, Q Tian Proc. of 10th Asian Conference on Computer Vision (ACCV’10) 3, 396-408, 2010 | 24 | 2010 |
| A bi-attention adversarial network for prostate cancer segmentation G Zhang, W Wang, D Yang, J Luo, P He, Y Wang, Y Luo, B Zhao, J Lu IEEE Access 7, 131448-131458, 2019 | 23 | 2019 |
| Salient object detection via a local and global method based on deep residual network D Zhu, Y Luo, L Dai, X Shao, Q Zhou, L Itti, J Lu Journal of Visual Communication and Image Representation 54, 1-9, 2018 | 23 | 2018 |
| A channel attention based deep neural network for automatic metallic corrosion detection S Zhang, X Deng, Y Lu, S Hong, Z Kong, Y Peng, Y Luo Journal of Building Engineering 42, 103046, 2021 | 21 | 2021 |
| Multi-scale adversarial feature learning for saliency detection D Zhu, L Dai, Y Luo, G Zhang, X Shao, L Itti, J Lu Symmetry 10 (10), 457, 2018 | 21 | 2018 |
| Cross-modal prostate cancer segmentation via self-attention distillation G Zhang, X Shen, YD Zhang, Y Luo, J Luo, D Zhu, H Yang, W Wang, ... IEEE Journal of Biomedical and Health Informatics 26 (11), 5298-5309, 2021 | 17 | 2021 |
| Salient object detection in videos by optimal spatio-temporal path discovery Y Luo, J Yuan, Q Tian ACM multimedia, 509-512, 2013 | 17 | 2013 |
| Diagnosis of thyroid nodules in ultrasound images using two combined classification modules H Zhang, C Zhao, L Guo, X Li, Y Luo, J Lu, H Xu 2019 12th International Congress on Image and Signal Processing, BioMedical …, 2019 | 15 | 2019 |
| Actionness-assisted Recognition of Actions Y Luo, LF Cheong, TL An International Conference on Computer Vision (ICCV), 3244-3252, 2015 | 15 | 2015 |
| Deep-learning-based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma BY Sun, PY Gu, RY Guan, C Zhou, JW Lu, ZF Yang, C Pan, PY Zhou, ... World Journal of Surgical Oncology 20 (1), 189, 2022 | 14 | 2022 |
| A hybrid deep learning and handcrafted features based approach for thyroid nodule classification in ultrasound images J Xie, L Guo, C Zhao, X Li, Y Luo, L Jianwei Journal of physics: conference series 1693 (1), 012160, 2020 | 14 | 2020 |
| Spatio-temporal Enhanced Sparse Feature Selection for Video Saliency Estimation Y Luo, Q Tian Computer Vision and Pattern Recognition Workshops (CVPRW), 33–38, 2012 | 14 | 2012 |
| Toward accurate polyp segmentation with cascade boundary-guided attention H Lai, Y Luo, G Zhang, X Shen, B Li, J Lu The Visual Computer 39 (4), 1453-1469, 2023 | 13 | 2023 |
| Scanpath prediction based on high-level features and memory bias X Shao, Y Luo, D Zhu, S Li, L Itti, J Lu Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 12 | 2017 |
Junsong YuanState University of New York at BuffaloVerified email at buffalo.edu
