| Distribution Matching for Crowd Counting B Wang*, H Liu*, D Samaras, M Hoai, (*indicates equal contribution) Advances in Neural Information Processing Systems (NeurIPS), 2020 | 229 | 2020 |
| Wasserstein GAN with quadratic transport cost H Liu, X Gu, D Samaras Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2019 | 83 | 2019 |
| Joint multi-label classification and label correlations with missing labels and feature selection ZF He, M Yang, Y Gao, HD Liu, Y Yin Knowledge-Based Systems 163, 145-158, 2019 | 73 | 2019 |
| Self pre-training with masked autoencoders for medical image analysis L Zhou, H Liu, J Bae, J He, D Samaras, P Prasanna IEEE International Symposium on Biomedical Imaging (ISBI), 2023 | 64* | 2023 |
| A two-step computation of the exact GAN Wasserstein distance H Liu, GU Xianfeng, D Samaras International Conference on Machine Learning (ICML), 3159-3168, 2018 | 49 | 2018 |
| Bilinear discriminative dictionary learning for face recognition HD Liu, M Yang, Y Gao, Y Yin, L Chen Pattern Recognition 47 (5), 1835-1845, 2014 | 37 | 2014 |
| Local histogram specification for face recognition under varying lighting conditions HD Liu, M Yang, Y Gao, C Cui Image and Vision Computing 32 (5), 335-347, 2014 | 36 | 2014 |
| TopoGAN: A Topology-Aware Generative Adversarial Network F Wang, H Liu, D Samaras, C Chen Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 29 | 2020 |
| CMA-CLIP: Cross-modality attention CLIP for image-text classification H Liu, S Xu, J Fu, Y Liu, N Xie, CC Wang, B Wang, Y Sun arXiv preprint arXiv:2112.03562, 2021 | 17 | 2021 |
| Training federated GANs with theoretical guarantees: A universal aggregation approach Y Zhang, H Qu, Q Chang, H Liu, D Metaxas, C Chen arXiv preprint arXiv:2102.04655, 2021 | 11 | 2021 |
| Fast local histogram specification HD Liu, M Yang, Y Gao, L Cao IEEE Transactions on Circuits and Systems for Video Technology 24 (11), 1833 …, 2014 | 11 | 2014 |
| Implementation of stochastic quasi-newton's method in pytorch Y Li, H Liu arXiv preprint arXiv:1805.02338, 2018 | 10 | 2018 |
| CMA-CLIP: Cross-modality attention CLIP for text-image classification J Fu, S Xu, H Liu, Y Liu, N Xie, CC Wang, J Liu, Y Sun, B Wang 2022 IEEE International Conference on Image Processing (ICIP), 2846-2850, 2022 | 9 | 2022 |
| Deep learning for survival analysis in breast cancer with whole slide image data H Liu, T Kurc Bioinformatics 38 (14), 3629-3637, 2022 | 9 | 2022 |
| Multi‐task Joint Feature Selection for Multi‐label Classification Z He, M Yang, H Liu Chinese Journal of Electronics 24 (2), 281-287, 2015 | 9 | 2015 |
| Calibrated multi-label classification with label correlations ZF He, M Yang, HD Liu, L Wang Neural Processing Letters 50, 1361-1380, 2019 | 8 | 2019 |
| HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization E Mathian, H Liu, L Fernandez-Cuesta, D Samaras, M Foll, L Chen Proceedings of the 18th International Joint Conference on Computer Vision …, 2023 | 6 | 2023 |
| Chest radiograph disentanglement for covid-19 outcome prediction L Zhou, J Bae, H Liu, G Singh, J Green, D Samaras, P Prasanna Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 6 | 2021 |
| Modelling attention control using a convolutional neural network designed after the ventral visual pathway CP Yu, H Liu, D Samaras, GJ Zelinsky Visual Cognition 27 (5-8), 416-434, 2019 | 6 | 2019 |
| Lung swapping autoencoder: Learning a disentangled structure-texture representation of chest radiographs L Zhou, J Bae, H Liu, G Singh, J Green, A Gupta, D Samaras, P Prasanna arXiv preprint arXiv:2201.07344, 2022 | 4 | 2022 |
Dimitris SamarasStony Brook UniversityVerified email at cs.stonybrook.edu
