Photo aesthetics ranking network with attributes and content adaptation S Kong, X Shen, Z Lin, R Mech, C Fowlkes Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 507 | 2016 |
Low-rank bilinear pooling for fine-grained classification S Kong, C Fowlkes Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 417 | 2017 |
A dictionary learning approach for classification: Separating the particularity and the commonality S Kong, D Wang European conference on computer vision, 186-199, 2012 | 284 | 2012 |
Opengan: Open-set recognition via open data generation S Kong, D Ramanan Proceedings of the IEEE/CVF International Conference on Computer Vision, 813-822, 2021 | 188 | 2021 |
Recurrent pixel embedding for instance grouping S Kong, C Fowlkes Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 185 | 2018 |
Recurrent scene parsing with perspective understanding in the loop S Kong, C Fowlkes Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 125 | 2018 |
Long-Tailed Recognition via Weight Balancing S Alshammari, YX Wang, D Ramanan, S Kong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 124 | 2022 |
A classification-oriented dictionary learning model: Explicitly learning the particularity and commonality across categories D Wang, S Kong Pattern Recognition 47 (2), 885-898, 2014 | 88 | 2014 |
Multimodal object detection via probabilistic ensembling YT Chen, J Shi, Z Ye, C Mertz, D Ramanan, S Kong European Conference on Computer Vision, 139-158, 2022 | 80 | 2022 |
Utilizing deep learning for rating aesthetics of digital images S Xiaohui, Z Lin, S Kong, R Mech US Patent 10,002,415, 2018 | 73 | 2018 |
Utilizing deep learning for rating aesthetics of digital images S Xiaohui, Z Lin, S Kong, R Mech US Patent 10,002,415, 2018 | 73 | 2018 |
Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy IC Romero, S Kong, CC Fowlkes, C Jaramillo, MA Urban, ... Proceedings of the National Academy of Sciences 117 (45), 28496-28505, 2020 | 60 | 2020 |
Fine-grained facial expression analysis using dimensional emotion model F Zhou, S Kong, CC Fowlkes, T Chen, B Lei Neurocomputing 392, 38-49, 2020 | 57 | 2020 |
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation Y Zhao, S Kong, D Shin, C Fowlkes Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 44 | 2020 |
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling S Kong, C Fowlkes arXiv preprint arXiv:1805.01556, 2018 | 38 | 2018 |
Pixel-wise Attentional Gating for Scene Parsing S Kong, C Fowlkes 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1024-1033, 2019 | 36 | 2019 |
Saliency detection within a deep convolutional architecture Y Lin, S Kong, D Wang, Y Zhuang Workshops at the twenty-eighth AAAI conference on artificial intelligence, 2014 | 36 | 2014 |
Modularized textual grounding for counterfactual resilience Z Fang, S Kong, C Fowlkes, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 34 | 2019 |
A Brief Summary of Dictionary Learning Based Approach for Classification (revised) S Kong, D Wang arXiv preprint arXiv:1205.6544, 2012 | 28* | 2012 |
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias Y Zhao, S Kong, C Fowlkes Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 26 | 2021 |