Haozhe Liu
Haozhe Liu
AI Initiative, KAUST
Verified email at - Homepage
Cited by
Cited by
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
J Xie, Y Li, Y Huang, H Liu, W Zhang, Y Zheng, MZ Shou
ICCV'2023, 2023
A flexible touch-based fingerprint acquisition device and a benchmark database using optical coherence tomography
F Liu, C Shen, H Liu, G Liu, Y Liu, Z Guo, L Wang
IEEE T-IM, 2020
One-class fingerprint presentation attack detection using auto-encoder network
F Liu, H Liu, W Zhang, G Liu, L Shen
IEEE T-IP, 2021
Mindstorms in Natural Language-Based Societies of Mind
M Zhuge*, H Liu*, F Faccio*, DR Ashley*, R Csordás, A Gopalakrishnan, ...
NeurIPSW'2023 (Oral, Best Paper@Ro-FoMo Workshop), 2023
Fingerprint presentation attack detector using global-local model
H Liu, W Zhang, F Liu, H Wu, L Shen
IEEE T-CYB 52 (11), 12315-12328, 2021
Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising
F Liu, Z Kong, H Liu, W Zhang, L Shen
IEEE T-IFS, 2022
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage
H Liu, W Zhang, B Li, H Wu, N He, Y Huang, Y Li, B Ghanem, Y Zheng
CVPR'2023, 2023
Scene Consistency Representation Learning for Video Scene Segmentation
H Wu, K Chen, Y Luo, R Qiao, B Ren, H Liu, W Xie, L Shen
CVPR'2022, 2022
Group-wise Inhibition based Feature Regularization for Robust Classification
H Liu, H Wu, W Xie, F Liu, L Shen
ICCV'2021, 2021
Combating Mode Collapse via Offline Manifold Entropy Estimation
H Liu, B Li, H Wu, H Liang, Y Huang, Y Li, B Ghanem, Y Zheng
AAAI'2023 (Oral), 2023
Effective Presentation Attack Detection Driven by Face Related Task
W Zhang*, H Liu*, F Liu, R Ramachandra, C Busch
ECCV'2022, 2022
Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing
Z Kong, W Zhang, F Liu, W Luo, H Liu, L Shen, R Raghavendra
Anomaly Detection Via Gating Highway Connection for Retinal Fundus Images
W Zhang *, H Liu *, J Xie, Y Huang, Y Li, Y Zhang, R Ramachandra, ...
MICCAI'2022, Extended to PR, 2023
Finger Vein Verification using Intrinsic and Extrinsic Features
L Lin*, H Liu*, W Zhang, F Liu, Z Lai
IJCB'2021, 2021
Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays
H Ji*, H Liu*, Y Li*, J Xie, N He, Y Huang, W Dong, X Chen, L Shen, ...
MICCAI'2022, Extended to MIA, 2022
NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation
H Wu*, K Chen*, H Liu*, M Zhuge*, B Li, R Qiao, X Shu, B Gan, L Xu, ...
CVPR'2023, 2023
Learning to Identify Critical States for Reinforcement Learning from Videos
H Liu, M Zhuge, B Li, Y Wang, F Faccio, B Ghanem, J Schmidhuber
ICCV'2023, 2023
Decoupled Mixup for Out-of-Distribution Visual Recognition
H Liu, W Zhang, J Xie, H Wu, B Li, Z Zhang, Y Li, Y Huang, B Ghanem, ...
ECCVW'2022 (4th@NICO Chanllenge), 2022
Dynamically Masked Discriminator for Generative Adversarial Networks
W Zhang*, H Liu*, B Li, J Xie, Y Huang, Y Li, Y Zheng, B Ghanem
NeurIPS'2023, 2023
Open-World Weakly-Supervised Object Localization
J Xie, Z Luo, Y Li, H Liu, L Shen, MZ Shou
Technical Report, 2023
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