Yuhang Lu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 60

Top Topics

Face Recognition

Visual Saliency

Heritage Objects

Top Venues

IEEE Trans. Image Process.

Publications

Yuhang Lu, Zewei Xu, Touradj Ebrahimi
Explainable Face Verification via Feature-Guided Gradient Backpropagation. CoRR (2024)
Yuhang Lu, Fuyuan Xiao
A novel belief Tanimoto coefficient with its applications in multisource information fusion. Appl. Intell. 54 (1) (2024)
Yuhang Lu, Zewei Xu, Touradj Ebrahimi
Towards Visual Saliency Explanations of Face Verification. WACV (2024)
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 (2024)
Yuhang Lu, Zewei Xu, Touradj Ebrahimi
Explainable Face Verification via Feature-Guided Gradient Backpropagation. FG (2024)
Yuhang Lu, Touradj Ebrahimi
Towards the Detection of AI-Synthesized Human Face Images. CoRR (2024)
Yuhang Lu, Zewei Xu, Touradj Ebrahimi
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems. CoRR (2024)
Yuhang Lu, Touradj Ebrahimi
Assessment framework for deepfake detection in real-world situations. EURASIP J. Image Video Process. 2024 (1) (2024)
Wei Zhuang, Fanan Xing, Yuhang Lu
Task Offloading Strategy for Unmanned Aerial Vehicle Power Inspection Based on Deep Reinforcement Learning. Sensors 24 (7) (2024)
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) (2023)
Zewei Xu, Yuhang Lu, Touradj Ebrahimi
Discriminative Deep Feature Visualization for Explainable Face Recognition. CoRR (2023)
Yuhang Lu, Touradj Ebrahimi
Assessment Framework for Deepfake Detection in Real-world Situations. CoRR (2023)
Zewei Xu, Yuhang Lu, Touradj Ebrahimi
Discriminative Deep Feature Visualization for Explainable Face Recognition. MMSP (2023)
Yuhang Lu, Touradj Ebrahimi
Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation. VCIP (2023)
Yuhang Lu, Touradj Ebrahimi
Explanation of Face Recognition via Saliency Maps. CoRR (2023)
Yuhang Lu, Touradj Ebrahimi
Identity-Preserving Knowledge Distillation for Low-resolution Face Recognition. CoRR (2023)
Yuhang Lu, Touradj Ebrahimi
Impact of Video Processing Operations in Deepfake Detection. DSP (2023)
Yuhang Lu, Xinge Zhu, Tai Wang, Yuexin Ma
OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries. CoRR (2023)
Yuhang Lu, Zewei Xu, Touradj Ebrahimi
Towards Visual Saliency Explanations of Face Recognition. CoRR (2023)
Yuhang Lu, Touradj Ebrahimi
Impact of Video Processing Operations in Deepfake Detection. CoRR (2023)
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)
Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu
Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint. AAAI (2023)
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 (2023)
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 (2022)
Yuhang Lu, Touradj Ebrahimi
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions. CoRR (2022)
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)
Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu
Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint. CoRR (2022)
Sheng Zhang, Zhibin Gao, Yunhao Lin, Yuhang Lu, Lianfen Huang
Dynamic Attention based Domain Generalization for Face Anti-Spoofing. ICPR (2022)
Yuhang Lu, Ruizhi Luo, Touradj Ebrahimi
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection. CoRR (2022)
Yuhang Lu, Luca Barras, Touradj Ebrahimi
A Novel Framework for Assessment of Deep Face Recognition Systems in Realistic Conditions. EUVIP (2022)
Mingbo Hong, Yuhang Lu, Nianjin Ye, Chunyu Lin, Qijun Zhao, Shuaicheng Liu
Unsupervised Homography Estimation with Coplanarity-Aware GAN. CVPR (2022)
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) (2022)
Yuhang Lu, Xinyi Wu, Zhenyao Wu, Song Wang
Cross-domain Few-shot Segmentation with Transductive Fine-tuning. CoRR (2022)
Mingbo Hong, Yuhang Lu, Nianjin Ye, Chunyu Lin, Qijun Zhao, Shuaicheng Liu
Unsupervised Homography Estimation with Coplanarity-Aware GAN. CoRR (2022)
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)
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) (2021)
Yuhang Lu, Evgeniy Upenik, Touradj Ebrahimi
Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors. CoRR (2021)
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 (2021)
Yuhang Lu
Annotation-Efficient Semantic Segmentation with Shape Prior Knowledge. ACM Multimedia (2021)
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)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
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) (2020)
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 (2020)
Dominik Borer, Yuhang Lu, Laura Wülfroth, Jakob Buhmann, Martin Guay
Rig-space Neural Rendering. CoRR (2020)
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)
Jun Zhou, Yuhang Lu, Karen Smith, Colin Wilder, Song Wang, Paul Sagona, Ben Torkian
A Framework for Design Identification on Heritage Objects. PEARC (2019)
Jingjing Guo, Jing Yu, Yuhang Lu, Yue Hu, Yanbing Liu
2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learning. ICCS (2) (2019)
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) (2019)
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)
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 (2018)
Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu, Song Wang
Does Haze Removal Help CNN-Based Image Classification? ECCV (10) (2018)
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 (2018)
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)
Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu, Song Wang
Does Haze Removal Help CNN-based Image Classification? CoRR (2018)
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)
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 (2017)
Yuhang Lu, Youchuan Wan, Gang Li
Scale-constrained Unsupervised Evaluation Method for Multi-scale Image Segmentation. CoRR (2016)