Resnest: Split-attention networks H Zhang, C Wu, Z Zhang, Y Zhu, H Lin, Z Zhang, Y Sun, T He, J Mueller, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1925 | 2022 |
Hplflownet: Hierarchical permutohedral lattice flownet for scene flow estimation on large-scale point clouds X Gu, Y Wang, C Wu, YJ Lee, P Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 240 | 2019 |
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network X Liu, Y Li*, C Wu*, CJ Hsieh ICLR 2019, 2019 | 211 | 2019 |
Not all areas are equal: Transfer learning for semantic segmentation via hierarchical region selection R Sun, X Zhu, C Wu, C Huang, J Shi, L Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 86 | 2019 |
Resnest: Split-attention networks. arXiv 2020 H Zhang, C Wu, Z Zhang, Y Zhu, Z Zhang, H Lin, Y Sun, T He, J Mueller, ... arXiv preprint arXiv:2004.08955, 2020 | 76 | 2020 |
Predicting ASD diagnosis in children with synthetic and image-based eye gaze data S Liaqat, C Wu, PR Duggirala, SS Cheung, CN Chuah, S Ozonoff, ... Signal Processing: Image Communication 94, 116198, 2021 | 42 | 2021 |
Machine learning based autism spectrum disorder detection from videos C Wu, S Liaqat, H Helvaci, SS Chcung, CN Chuah, S Ozonoff, G Young 2020 IEEE International Conference on E-health Networking, Application …, 2021 | 33 | 2021 |
Predicting autism diagnosis using image with fixations and synthetic saccade patterns C Wu, S Liaqat, S Cheung, CN Chuah, S Ozonoff 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2019 | 25 | 2019 |
Recognizing road from satellite images by structured neural network G Cheng, C Wu, Q Huang, Y Meng, J Shi, J Chen, D Yan Neurocomputing 356, 131-141, 2019 | 21 | 2019 |
PRAL: A tailored pre-training model for task-oriented dialog generation J Gu, Q Wu, C Wu, W Shi, Z Yu Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 11 | 2021 |
A tailored pre-training model for task-oriented dialog generation J Gu, Q Wu, C Wu, W Shi, Z Yu arXiv preprint arXiv:2004.13835, 2020 | 7 | 2020 |
Machine-Learning Based Autism Diagnosis Using Gaze Fixations on Natural Images C Wu, S Liaqat, H Duan, S Ozonoff, CN Chuah, G Zhai, SS Cheung INSAR 2020 Virtual Meeting, 2019 | 3 | 2019 |
Cruciform: Solving crosswords with natural language processing D Radev, R Zhang, S Wilson, D Van Assche, HS Gubert, A Krivokapic, ... arXiv preprint arXiv:1611.02360, 2016 | 2 | 2016 |
Detection of Autism Related Behaviors from Video of Infants Using Machine Learning S Liaqat, C Wu, CN Chuah, SS Cheung, S Ozonoff INSAR 2020 Virtual Meeting, 0 | | |
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection (Supplementary Material) R Sun, X Zhu, C Wu, C Huang, J Shi, L Ma | | |