Yuhang Lu

According to our database, Yuhang Lu authored at least 49 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Assessment framework for deepfake detection in real-world situations.

Yuhang Lu, Touradj Ebrahimi

EURASIP J. Image Video Process., December, 2024

Task Offloading Strategy for Unmanned Aerial Vehicle Power Inspection Based on Deep Reinforcement Learning.

Wei Zhuang, Fanan Xing, Yuhang Lu

Sensors, April, 2024

A novel belief Tanimoto coefficient with its applications in multisource information fusion.

Yuhang Lu, Fuyuan Xiao

Appl. Intell., January, 2024

HVPS-DFN-DL: Intelligent capture and characterization of geological fracture outcrops based on a hybrid vision-photogrammetric system and discrete fracture network.

Mingyang Wang, Congcong Wang, Enzhi Wang, Xiaoli Liu, Yuhang Lu

J. Ind. Inf. Integr., 2024

Prediction of hypertension risk based on multiple feature fusion.

Jingdong Yang, Han Wang, Peng Liu, Yuhang Lu, Minghui Yao, Haixia Yan

J. Biomed. Informatics, 2024

RenderWorld: World Model with Self-Supervised 3D Label.

Ziyang Yan, Wenzhen Dong, Yihua Shao, Yuhang Lu, Liu Haiyang, Jingwen Liu, Haozhe Wang, Zhe Wang, Yan Wang, Fabio Remondino, Yuexin Ma

CoRR, 2024

Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving.

Yuhang Lu, Yichen Yao, Jiadong Tu, Jiangnan Shao, Yuexin Ma, Xinge Zhu

CoRR, 2024

Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems.

Yuhang Lu, Zewei Xu, Touradj Ebrahimi

CoRR, 2024

Towards the Detection of AI-Synthesized Human Face Images.

Yuhang Lu, Touradj Ebrahimi

CoRR, 2024

Towards Visual Saliency Explanations of Face Verification.

Yuhang Lu, Zewei Xu, Touradj Ebrahimi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Explainable Face Verification via Feature-Guided Gradient Backpropagation.

Yuhang Lu, Zewei Xu, Touradj Ebrahimi

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023

Unsupervised Global and Local Homography Estimation With Motion Basis Learning.

Shuaicheng Liu, Yuhang Lu, Hai Jiang, Nianjin Ye, Chuan Wang, Bing Zeng

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries.

Yuhang Lu, Xinge Zhu, Tai Wang, Yuexin Ma

CoRR, 2023

Towards Visual Saliency Explanations of Face Recognition.

Yuhang Lu, Zewei Xu, Touradj Ebrahimi

CoRR, 2023

Explanation of Face Recognition via Saliency Maps.

Yuhang Lu, Touradj Ebrahimi

CoRR, 2023

Identity-Preserving Knowledge Distillation for Low-resolution Face Recognition.

Yuhang Lu, Touradj Ebrahimi

CoRR, 2023

Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation.

Yuhang Lu, Touradj Ebrahimi

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Discriminative Deep Feature Visualization for Explainable Face Recognition.

Zewei Xu, Yuhang Lu, Touradj Ebrahimi

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Impact of Video Processing Operations in Deepfake Detection.

Yuhang Lu, Touradj Ebrahimi

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data.

Yuhang Lu, Qi Jiang, Runnan Chen, Yuenan Hou, Xinge Zhu, Yuexin Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint.

Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Snowvision: Segmenting, Identifying, and Discovering Stamped Curve Patterns from Fragments of Pottery.

Yuhang Lu, Jun Zhou, Sam T. McDorman, Canyu Zhang, Deja Scott, Jake Bukuts, Colin Wilder, Karen Y. Smith, Song Wang

Int. J. Comput. Vis., 2022

Cross-domain Few-shot Segmentation with Transductive Fine-tuning.

Yuhang Lu, Xinyi Wu, Zhenyao Wu, Song Wang

CoRR, 2022

A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions.

Yuhang Lu, Touradj Ebrahimi

CoRR, 2022

A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection.

Yuhang Lu, Ruizhi Luo, Touradj Ebrahimi

CoRR, 2022

Multi-Stage Generation of Tile Images Based on Generative Adversarial Network.

Jianfeng Lu, Mengtao Shi, Yuhang Lu, Ching-Chun Chang, Li Li, Rui Bai

IEEE Access, 2022

Dynamic Attention based Domain Generalization for Face Anti-Spoofing.

Sheng Zhang, Zhibin Gao, Yunhao Lin, Yuhang Lu, Lianfen Huang

Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Novel Framework for Assessment of Deep Face Recognition Systems in Realistic Conditions.

Yuhang Lu, Luca Barras, Touradj Ebrahimi

Proceedings of the 10th European Workshop on Visual Information Processing, 2022

Unsupervised Homography Estimation with Coplanarity-Aware GAN.

Mingbo Hong, Yuhang Lu, Nianjin Ye, Chunyu Lin, Qijun Zhao, Shuaicheng Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation.

Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Contour Transformer Network for One-Shot Segmentation of Anatomical Structures.

Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao

IEEE Trans. Medical Imaging, 2021

Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors.

Yuhang Lu, Evgeniy Upenik, Touradj Ebrahimi

CoRR, 2021

Annotation-Efficient Semantic Segmentation with Shape Prior Knowledge.

Yuhang Lu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Rig-space Neural Rendering: Compressing the Rendering of Characters for Previs, Real-time Animation and High-quality Asset Re-use.

Dominik Borer, Yuhang Lu, Laura Wülfroth, Jakob Buhmann, Martin Guay

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020

Reasoning on the Relation: Enhancing Visual Representation for Visual Question Answering and Cross-Modal Retrieval.

Jing Yu, Weifeng Zhang, Yuhang Lu, Zengchang Qin, Yue Hu, Jianlong Tan, Qi Wu

IEEE Trans. Multim., 2020

Degraded Image Semantic Segmentation With Dense-Gram Networks.

Dazhou Guo, Yanting Pei, Kang Zheng, Hongkai Yu, Yuhang Lu, Song Wang

IEEE Trans. Image Process., 2020

Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention.

Jing Yu, Yuhang Lu, Weifeng Zhang, Zengchang Qin, Yanbing Liu, Yue Hu

Pattern Recognit. Lett., 2020

Rig-space Neural Rendering.

Dominik Borer, Yuhang Lu, Laura Wülfroth, Jakob Buhmann, Martin Guay

CoRR, 2020

Learning to Segment Anatomical Structures Accurately from One Exemplar.

Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Structured Landmark Detection via Topology-Adapting Deep Graph Learning.

Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Small Object Sensitive Segmentation of Urban Street Scene With Spatial Adjacency Between Object Classes.

Dazhou Guo, Ligeng Zhu, Yuhang Lu, Hongkai Yu, Song Wang

IEEE Trans. Image Process., 2019

A Framework for Design Identification on Heritage Objects.

Jun Zhou, Yuhang Lu, Karen Y. Smith, Colin Wilder, Song Wang, Paul Sagona, Ben Torkian

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learning.

Jingjing Guo, Jing Yu, Yuhang Lu, Yue Hu, Yanbing Liu

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Design Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking.

Jun Zhou, Yuhang Lu, Kang Zheng, Karen Y. Smith, Colin Wilder, Song Wang

CoRR, 2018

Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval.

Jing Yu, Yuhang Lu, Zengchang Qin, Weifeng Zhang, Yanbing Liu, Jianlong Tan, Li Guo

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Fine-Grained Correlation Learning with Stacked Co-attention Networks for Cross-Modal Information Retrieval.

Yuhang Lu, Jing Yu, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang

Proceedings of the Knowledge Science, Engineering and Management, 2018

Does Haze Removal Help CNN-Based Image Classification?

Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu, Song Wang

Proceedings of the Computer Vision - ECCV 2018, 2018

Curve-Structure Segmentation From Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage Objects.

Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Y. Smith, Colin Wilder, Song Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Scale-constrained Unsupervised Evaluation Method for Multi-scale Image Segmentation.

Yuhang Lu, Youchuan Wan, Gang Li

CoRR, 2016