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ORCIDYuhang Lu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j13]Yuhang Lu, Fuyuan Xiao
:
A novel belief Tanimoto coefficient with its applications in multisource information fusion. Appl. Intell. 54(11-12): 985-1002 (2024)- [j12]Yuhang Lu, Touradj Ebrahimi:
Assessment framework for deepfake detection in real-world situations. EURASIP J. Image Video Process. 2024(1): 6 (2024) - [j11]Jingdong Yang, Han Wang, Peng Liu, Yuhang Lu, Minghui Yao, Haixia Yan:
Prediction of hypertension risk based on multiple feature fusion. J. Biomed. Informatics 157: 104701 (2024) - [j10]Mingyang Wang, Congcong Wang, Enzhi Wang, Xiaoli Liu, Yuhang Lu:
HVPS-DFN-DL: Intelligent capture and characterization of geological fracture outcrops based on a hybrid vision-photogrammetric system and discrete fracture network. J. Ind. Inf. Integr. 42: 100685 (2024) - [j9]Wei Zhuang, Fanan Xing, Yuhang Lu:
Task Offloading Strategy for Unmanned Aerial Vehicle Power Inspection Based on Deep Reinforcement Learning. Sensors 24(7): 2070 (2024) - [c21]Yuhang Lu, Zewei Xu, Touradj Ebrahimi:
Explainable Face Verification via Feature-Guided Gradient Backpropagation. FG 2024: 1-5 - [c20]Yuhang Lu, Zewei Xu, Touradj Ebrahimi:
Towards Visual Saliency Explanations of Face Verification. WACV 2024: 4714-4723 - [i29]Yuhang Lu, Touradj Ebrahimi:
Towards the Detection of AI-Synthesized Human Face Images. CoRR abs/2402.08750 (2024) - [i28]Yuhang Lu, Zewei Xu, Touradj Ebrahimi:
Explainable Face Verification via Feature-Guided Gradient Backpropagation. CoRR abs/2403.04549 (2024) - [i27]Yuhang Lu, Zewei Xu, Touradj Ebrahimi:
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems. CoRR abs/2407.05983 (2024) - [i26]Yuhang Lu, Yichen Yao, Jiadong Tu, Jiangnan Shao, Yuexin Ma, Xinge Zhu:
Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving. CoRR abs/2409.02914 (2024) - [i25]Ziyang Yan, Wenzhen Dong, Yihua Shao, Yuhang Lu, Liu Haiyang, Jingwen Liu, Haozhe Wang, Zhe Wang, Yan Wang, Fabio Remondino, Yuexin Ma:
RenderWorld: World Model with Self-Supervised 3D Label. CoRR abs/2409.11356 (2024) - 2023
- [j8]Shuaicheng Liu, Yuhang Lu, Hai Jiang, Nianjin Ye, Chuan Wang, Bing Zeng:
Unsupervised Global and Local Homography Estimation With Motion Basis Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7885-7899 (2023) - [c19]Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu:
Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint. AAAI 2023: 1024-1032 - [c18]Yuhang Lu, Qi Jiang, Runnan Chen, Yuenan Hou, Xinge Zhu, Yuexin Ma:
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data. ICCV 2023: 21617-21627 - [c17]Yuhang Lu, Touradj Ebrahimi:
Impact of Video Processing Operations in Deepfake Detection. DSP 2023: 1-5 - [c16]Zewei Xu, Yuhang Lu, Touradj Ebrahimi:
Discriminative Deep Feature Visualization for Explainable Face Recognition. MMSP 2023: 1-6 - [c15]Yuhang Lu, Touradj Ebrahimi:
Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation. VCIP 2023: 1-5 - [i24]Yuhang Lu, Touradj Ebrahimi:
Identity-Preserving Knowledge Distillation for Low-resolution Face Recognition. CoRR abs/2303.08665 (2023) - [i23]Yuhang Lu, Touradj Ebrahimi:
Impact of Video Processing Operations in Deepfake Detection. CoRR abs/2303.17247 (2023) - [i22]Yuhang Lu, Touradj Ebrahimi:
Explanation of Face Recognition via Saliency Maps. CoRR abs/2304.06118 (2023) - [i21]Yuhang Lu, Touradj Ebrahimi:
Assessment Framework for Deepfake Detection in Real-world Situations. CoRR abs/2304.06125 (2023) - [i20]Yuhang Lu, Zewei Xu, Touradj Ebrahimi:
Towards Visual Saliency Explanations of Face Recognition. CoRR abs/2305.08546 (2023) - [i19]Zewei Xu, Yuhang Lu, Touradj Ebrahimi:
Discriminative Deep Feature Visualization for Explainable Face Recognition. CoRR abs/2306.00402 (2023) - [i18]Yuhang Lu, Qi Jiang, Runnan Chen, Yuenan Hou, Xinge Zhu, Yuexin Ma:
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data. CoRR abs/2307.10782 (2023) - [i17]Yuhang Lu, Xinge Zhu, Tai Wang, Yuexin Ma:
OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries. CoRR abs/2312.03774 (2023) - 2022
- [j7]Jianfeng Lu, Mengtao Shi, Yuhang Lu, Ching-Chun Chang, Li Li, Rui Bai:
Multi-Stage Generation of Tile Images Based on Generative Adversarial Network. IEEE Access 10: 127502-127513 (2022) - [j6]Yuhang Lu, Jun Zhou, Sam T. McDorman, Canyu Zhang, Deja Scott, Jake Bukuts, Colin Wilder, Karen Y. Smith, Song Wang:
Snowvision: Segmenting, Identifying, and Discovering Stamped Curve Patterns from Fragments of Pottery. Int. J. Comput. Vis. 130(11): 2707-2732 (2022) - [c14]Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang:
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation. AAAI 2022: 2740-2749 - [c13]Mingbo Hong, Yuhang Lu, Nianjin Ye, Chunyu Lin, Qijun Zhao, Shuaicheng Liu:
Unsupervised Homography Estimation with Coplanarity-Aware GAN. CVPR 2022: 17642-17651 - [c12]Yuhang Lu, Luca Barras, Touradj Ebrahimi:
A Novel Framework for Assessment of Deep Face Recognition Systems in Realistic Conditions. EUVIP 2022: 1-6 - [c11]Sheng Zhang, Zhibin Gao, Yunhao Lin, Yuhang Lu, Lianfen Huang:
Dynamic Attention based Domain Generalization for Face Anti-Spoofing. ICPR 2022: 3413-3421 - [i16]Yuhang Lu, Ruizhi Luo, Touradj Ebrahimi:
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection. CoRR abs/2203.11797 (2022) - [i15]Yuhang Lu, Touradj Ebrahimi:
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions. CoRR abs/2203.11807 (2022) - [i14]Mingbo Hong, Yuhang Lu, Nianjin Ye, Chunyu Lin, Qijun Zhao, Shuaicheng Liu:
Unsupervised Homography Estimation with Coplanarity-Aware GAN. CoRR abs/2205.03821 (2022) - [i13]Yuhang Lu, Xinyi Wu, Zhenyao Wu, Song Wang:
Cross-domain Few-shot Segmentation with Transductive Fine-tuning. CoRR abs/2211.14745 (2022) - [i12]Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu:
Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint. CoRR abs/2212.02763 (2022) - 2021
- [j5]Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Contour Transformer Network for One-Shot Segmentation of Anatomical Structures. IEEE Trans. Medical Imaging 40(10): 2672-2684 (2021) - [c10]Dominik Borer, Yuhang Lu, Laura Wülfroth, Jakob Buhmann, Martin Guay:
Rig-space Neural Rendering: Compressing the Rendering of Characters for Previs, Real-time Animation and High-quality Asset Re-use. VISIGRAPP (1: GRAPP) 2021: 300-307 - [c9]Yuhang Lu:
Annotation-Efficient Semantic Segmentation with Shape Prior Knowledge. ACM Multimedia 2021: 2955-2959 - [i11]Yuhang Lu, Evgeniy Upenik, Touradj Ebrahimi:
Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors. CoRR abs/2111.07468 (2021) - [i10]Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang:
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation. CoRR abs/2112.04665 (2021) - 2020
- [j4]Jing Yu, Yuhang Lu, Weifeng Zhang, Zengchang Qin, Yanbing Liu, Yue Hu:
Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention. Pattern Recognit. Lett. 130: 189-198 (2020) - [j3]Dazhou Guo, Yanting Pei, Kang Zheng, Hongkai Yu, Yuhang Lu, Song Wang:
Degraded Image Semantic Segmentation With Dense-Gram Networks. IEEE Trans. Image Process. 29: 782-795 (2020) - [j2]Jing Yu, Weifeng Zhang, Yuhang Lu, Zengchang Qin, Yue Hu, Jianlong Tan, Qi Wu:
Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-Modal Retrieval. IEEE Trans. Multim. 22(12): 3196-3209 (2020) - [c8]Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Structured Landmark Detection via Topology-Adapting Deep Graph Learning. ECCV (9) 2020: 266-283 - [c7]Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Learning to Segment Anatomical Structures Accurately from One Exemplar. MICCAI (1) 2020: 678-688 - [i9]Dominik Borer, Yuhang Lu, Laura Wülfroth, Jakob Buhmann, Martin Guay:
Rig-space Neural Rendering. CoRR abs/2003.09820 (2020) - [i8]Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Structured Landmark Detection via Topology-Adapting Deep Graph Learning. CoRR abs/2004.08190 (2020) - [i7]Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Learning to Segment Anatomical Structures Accurately from One Exemplar. CoRR abs/2007.03052 (2020) - [i6]Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Contour Transformer Network for One-shot Segmentation of Anatomical Structures. CoRR abs/2012.01480 (2020)
2010 – 2019
- 2019
- [j1]Dazhou Guo, Ligeng Zhu, Yuhang Lu, Hongkai Yu, Song Wang:
Small Object Sensitive Segmentation of Urban Street Scene With Spatial Adjacency Between Object Classes. IEEE Trans. Image Process. 28(6): 2643-2653 (2019) - [c6]Jingjing Guo, Jing Yu, Yuhang Lu, Yue Hu, Yanbing Liu:
2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learning. ICCS (2) 2019: 131-144 - [c5]Jun Zhou, Yuhang Lu, Karen Y. Smith, Colin Wilder, Song Wang, Paul Sagona, Ben Torkian:
A Framework for Design Identification on Heritage Objects. PEARC 2019: 62:1-62:8 - 2018
- [c4]Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Y. Smith, Colin Wilder, Song Wang:
Curve-Structure Segmentation From Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage Objects. AAAI 2018: 7235-7242 - [c3]Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu, Song Wang:
Does Haze Removal Help CNN-Based Image Classification? ECCV (10) 2018: 697-712 - [c2]Yuhang Lu, Jing Yu, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang:
Fine-Grained Correlation Learning with Stacked Co-attention Networks for Cross-Modal Information Retrieval. KSEM (1) 2018: 213-225 - [c1]Jing Yu, Yuhang Lu, Zengchang Qin, Weifeng Zhang, Yanbing Liu, Jianlong Tan, Li Guo:
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval. PCM (1) 2018: 223-234 - [i5]Jing Yu, Yuhang Lu, Zengchang Qin, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang:
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval. CoRR abs/1802.00985 (2018) - [i4]Jun Zhou, Yuhang Lu, Kang Zheng, Karen Y. Smith, Colin Wilder, Song Wang:
Design Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking. CoRR abs/1805.06862 (2018) - [i3]Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu, Song Wang:
Does Haze Removal Help CNN-based Image Classification? CoRR abs/1810.05716 (2018) - 2017
- [i2]Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Y. Smith, Colin Wilder, Song Wang:
Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects. CoRR abs/1711.02718 (2017) - 2016
- [i1]Yuhang Lu, Youchuan Wan, Gang Li:
Scale-constrained Unsupervised Evaluation Method for Multi-scale Image Segmentation. CoRR abs/1611.04850 (2016)
Coauthor Index
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