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Yuhang Lu
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Journal Articles
- 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) - 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) - 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 Smith, Song Wang:
Snowvision: Segmenting, Identifying, and Discovering Stamped Curve Patterns from Fragments of Pottery. Int. J. Comput. Vis. 130(11): 2707-2732 (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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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 - 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 - 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 - 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 - 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 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 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
Informal and Other Publications
- 2024
- [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
- [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
- [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
- [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
- [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) - 2018
- [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 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 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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last updated on 2024-10-22 20:17 CEST by the dblp team
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