Huidong Liu
Huidong Liu
Applied Scientist, Amazon
Verified email at - Homepage
Cited by
Cited by
Distribution Matching for Crowd Counting
B Wang*, H Liu*, D Samaras, M Hoai, (*indicates equal contribution)
Advances in Neural Information Processing Systems (NeurIPS), 2020
Wasserstein GAN with quadratic transport cost
H Liu, X Gu, D Samaras
Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 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
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
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
Bilinear discriminative dictionary learning for face recognition
HD Liu, M Yang, Y Gao, Y Yin, L Chen
Pattern Recognition 47 (5), 1835-1845, 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
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
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
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
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
Implementation of stochastic quasi-newton's method in pytorch
Y Li, H Liu
arXiv preprint arXiv:1805.02338, 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
Deep learning for survival analysis in breast cancer with whole slide image data
H Liu, T Kurc
Bioinformatics 38 (14), 3629-3637, 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
Calibrated multi-label classification with label correlations
ZF He, M Yang, HD Liu, L Wang
Neural Processing Letters 50, 1361-1380, 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
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
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
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
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