Invertible denoising network: A light solution for real noise removal Y Liu, Z Qin, S Anwar, P Ji, D Kim, S Caldwell, T Gedeon 2021 Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 144 | 2021 |
Fusing higher-order features in graph neural networks for skeleton-based action recognition Z Qin, Y Liu, P Ji, D Kim, L Wang, B McKay, S Anwar, T Gedeon IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 | 72 | 2022 |
Rethinking softmax with cross-entropy: Neural network classifier as mutual information estimator Z Qin, D Kim, T Gedeon 2021 International Conference on Machine Learning (ICML-XAI), 2019 | 64* | 2019 |
Winter wheat identification by integrating spectral and temporal information derived from multi-resolution remote sensing data X ZHANG, J LIU, Z Qin, QIN Fen Journal of integrative agriculture 18 (11), 2628-2643, 2019 | 21 | 2019 |
Visual saliency maps can apply to facial expression recognition Z Qin, J Wu arXiv preprint arXiv:1811.04544, 2018 | 19 | 2018 |
Are deep neural architectures losing information? Invertibility is indispensable Y Liu, Z Qin, S Anwar, S Caldwell, T Gedeon 2020 International Conference on Neural Information Processing (ICONIP), 2020 | 16 | 2020 |
Disentangling noise from images: A flow-based image denoising neural network Y Liu, S Anwar, Z Qin, P Ji, S Caldwell, T Gedeon arXiv preprint arXiv:2105.04746, 2021 | 13 | 2021 |
Detecting the doubt effect and subjective beliefs using neural networks and observers’ pupillary responses X Zhu, Z Qin, T Gedeon, R Jones, MZ Hossain, S Caldwell International Conference on Neural Information Processing (ICONIP), 610-621, 2018 | 10 | 2018 |
Your eyes say you’re lying: an eye movement pattern analysis for face familiarity and deceptive cognition J Zuo, T Gedeon, Z Qin 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 7 | 2019 |
ANUBIS: Review and Benchmark Skeleton-Based Action Recognition Methods with a New Dataset Z Qin, Y Liu, M Perera, S Anwar, T Gedeon, P Ji, D Kim Under Review, 2022 | 6* | 2022 |
Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional Expressions Z Qin, T Gedeon, S Caldwell International Conference on Neural Information Processing (ICONIP), 205-216, 2018 | 6 | 2018 |
Anonymization for Skeleton Action Recognition S Moon, M Kim, Z Qin, Y Liu, D Kim AAAI Conference on Artificial Intelligence (AAAI), 2023 | 5 | 2023 |
Teamgl at acrv robotic vision challenge 1: Probabilistic object detection via staged non-suppression ensembling D Li, C Xu, Y Liu, Z Qin CVPR Workshop on the Robotic Vision Probabilistic Object Detection Challenge, 2019 | 5 | 2019 |
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions Y Zhang, Z Qin*, S Anwar, D Kim, Y Liu, P Ji, T Gedeon IEEE Transactions on Neural Networks and Learning Systems, 2024 | 4 | 2024 |
Why don't the modules dominate? Z Qin, T Gedeon, RI McKay 2018 Genetic and Evolutionary Computation Conference (GECCO), 2018 | 4 | 2018 |
Detecting and Restoring Non-Standard Hands in Stable Diffusion Generated Images Y Zhang, Z Qin, Y Liu, D Campbell arXiv preprint arXiv:2312.04236, 2023 | 2 | 2023 |
Anomalies in the behavior of a modularity inducing problem domain Z Qin, T Gedeon, RI McKay 2019 Artificial Life Conference (ALIFE), 2019 | 2 | 2019 |
Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns Z Qin, P Ji, D Kim, Y Liu, S Anwar, T Gedeon European Conference on Computer Vision RWS (ECCV-RWS), 2022 | 1 | 2022 |
Resolving Anomalies in the Behaviour of a Modularity-Inducing Problem Domain with Distributional Fitness Evaluation Z Qin, B McKay, T Gedeon MIT Artificial Life Journal (ALIFEJ), 2022 | 1* | 2022 |
Classification Models for Medical Data with Interpretative Rules X Xu, X Ding, Z Qin, Y Liu Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 1 | 2021 |