Wei Peng

Orcid: 0000-0002-2892-5764

Affiliations:
  • Stanford University, Department of Psychiatry and Behavioral Sciences, Stanford, CA, USA
  • University of Oulu, Center for Machine Vision and Signal Analysis, Oulu, Finland (PhD 2022)


According to our database1, Wei Peng authored at least 49 papers between 2019 and 2024.

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Bibliography

2024
MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images.
IEEE Trans. Medical Imaging, October, 2024

Hyperbolic Uncertainty Aware Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst., February, 2024

Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry.
IEEE Trans. Multim., 2024

Geometric Graph Representation With Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition.
IEEE Trans. Affect. Comput., 2024

Data Leakage and Evaluation Issues in Micro-Expression Analysis.
IEEE Trans. Affect. Comput., 2024

Discovering attention-guided cross-modality correlation for visible-infrared person re-identification.
Pattern Recognit., 2024

Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs.
Medical Image Anal., 2024

Large Language Models in Healthcare and Medical Domain: A Review.
Informatics, 2024

Diffusion Sampling Correction via Approximately 10 Parameters.
CoRR, 2024

Latent 3D Brain MRI Counterfactual.
CoRR, 2024

PFDiff: Training-free Acceleration of Diffusion Models through the Gradient Guidance of Past and Future.
CoRR, 2024

Evaluating the Quality of Brain MRI Generators.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning.
Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024

Neurocognitive Latent Space Regularization for Multi-label Diagnosis from MRI.
Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

CC-DA: Cross-Domain Consistency Data Augmentation for 3D Tumor Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Towards General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks.
CoRR, 2023

Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs.
CoRR, 2023

MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images.
CoRR, 2023

Learnable Eulerian Dynamics for Micro-Expression Action Unit Detection.
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Micro-gesture Classification Based on Ensemble Hypergraph-convolution Transformer.
Proceedings of IJCAI-2023 Workshop&Challenge on Micro-gesture Analysis for Hidden Emotion Understanding (MiGA 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Micro-gesture Online Recognition with Graph-convolution and Multiscale Transformers for Long Sequence.
Proceedings of IJCAI-2023 Workshop&Challenge on Micro-gesture Analysis for Hidden Emotion Understanding (MiGA 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Imputing Brain Measurements Across Data Sets via Graph Neural Networks.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

LSOR: Longitudinally-Consistent Self-Organized Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Modality Unifying Network for Visible-Infrared Person Re-Identification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TOPLight: Lightweight Neural Networks with Task-Oriented Pretraining for Visible-Infrared Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SRBGCN: Tangent space-Free Lorentz Transformations for Graph Feature Learning.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Hyperbolic Deep Neural Networks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multiscale 3D-Shift Graph Convolution Network for Emotion Recognition From Human Actions.
IEEE Intell. Syst., 2022

Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry.
CoRR, 2022

Hyperbolic Spatial Temporal Graph Convolutional Networks.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Spatial Temporal Graph Deconvolutional Network for Skeleton-Based Human Action Recognition.
IEEE Signal Process. Lett., 2021

Tripool: Graph triplet pooling for 3D skeleton-based action recognition.
Pattern Recognit., 2021

A hybrid quantum-classical neural network with deep residual learning.
Neural Networks, 2021

Rethinking the ST-GCNs for 3D skeleton-based human action recognition.
Neurocomputing, 2021

Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis.
IEEE Intell. Syst., 2021

Graph Adversarial Learning for Noisy Skeleton-based Action Recognition.
Proceedings of the Image Processing: Algorithms and Systems XIX, 2021

Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Micro-Expression Recognition with Noisy Labels.
Proceedings of the Human Vision and Electronic Imaging 2021, Virtual Event, January 2021., 2021

Micro-expression Action Unit Detection with Dual-view Attentive Similarity-Preserving Knowledge Distillation.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020
Revealing the Invisible With Model and Data Shrinking for Composite-Database Micro-Expression Recognition.
IEEE Trans. Image Process., 2020

Quantum neural networks with deep residual learning.
CoRR, 2020

2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework.
CoRR, 2020

Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Video Action Recognition Via Neural Architecture Searching.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019


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