Yuhang Lu

Orcid: 0000-0002-1072-3443

According to our database1, Yuhang Lu authored at least 43 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Assessment framework for deepfake detection in real-world situations.
EURASIP J. Image Video Process., December, 2024

A novel belief Tanimoto coefficient with its applications in multisource information fusion.
Appl. Intell., January, 2024

Explainable Face Verification via Feature-Guided Gradient Backpropagation.
CoRR, 2024

Towards the Detection of AI-Synthesized Human Face Images.
CoRR, 2024

Towards Visual Saliency Explanations of Face Verification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Unsupervised Global and Local Homography Estimation With Motion Basis Learning.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries.
CoRR, 2023

Towards Visual Saliency Explanations of Face Recognition.
CoRR, 2023

Explanation of Face Recognition via Saliency Maps.
CoRR, 2023

Identity-Preserving Knowledge Distillation for Low-resolution Face Recognition.
CoRR, 2023

Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Discriminative Deep Feature Visualization for Explainable Face Recognition.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Impact of Video Processing Operations in Deepfake Detection.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Snowvision: Segmenting, Identifying, and Discovering Stamped Curve Patterns from Fragments of Pottery.
Int. J. Comput. Vis., 2022

Cross-domain Few-shot Segmentation with Transductive Fine-tuning.
CoRR, 2022

A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions.
CoRR, 2022

A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection.
CoRR, 2022

Multi-Stage Generation of Tile Images Based on Generative Adversarial Network.
IEEE Access, 2022

Dynamic Attention based Domain Generalization for Face Anti-Spoofing.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Novel Framework for Assessment of Deep Face Recognition Systems in Realistic Conditions.
Proceedings of the 10th European Workshop on Visual Information Processing, 2022

Unsupervised Homography Estimation with Coplanarity-Aware GAN.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Contour Transformer Network for One-Shot Segmentation of Anatomical Structures.
IEEE Trans. Medical Imaging, 2021

Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors.
CoRR, 2021

Annotation-Efficient Semantic Segmentation with Shape Prior Knowledge.
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.
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.
IEEE Trans. Multim., 2020

Degraded Image Semantic Segmentation With Dense-Gram Networks.
IEEE Trans. Image Process., 2020

Learning cross-modal correlations by exploring inter-word semantics and stacked co-attention.
Pattern Recognit. Lett., 2020

Rig-space Neural Rendering.
CoRR, 2020

Learning to Segment Anatomical Structures Accurately from One Exemplar.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Structured Landmark Detection via Topology-Adapting Deep Graph Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Small Object Sensitive Segmentation of Urban Street Scene With Spatial Adjacency Between Object Classes.
IEEE Trans. Image Process., 2019

A Framework for Design Identification on Heritage Objects.
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.
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.
CoRR, 2018

Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval.
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.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Does Haze Removal Help CNN-Based Image Classification?
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.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
Scale-constrained Unsupervised Evaluation Method for Multi-scale Image Segmentation.
CoRR, 2016


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