Weiming Hu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2025
Predicting symptomatic carotid artery plaques with radiomics-based carotid perivascular adipose tissue characteristics: a multicenter, multiclassifier study.
BMC Medical Imaging, December, 2025

AutoPrune: Each Complexity Deserves a Pruning Policy.
CoRR, September, 2025

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection.
CoRR, July, 2025

LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning.
CoRR, June, 2025

Integer Binary-Range Alignment Neuron for Spiking Neural Networks.
CoRR, June, 2025

SSTrack: Sample-interval Scheduling for Lightweight Visual Object Tracking.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dual-Head Feature Enhancement for Graph-Based Cross-View Multi-object Tracking.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution.
CoRR, 2024

Animate3D: Animating Any 3D Model with Multi-view Video Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Improving metric-based few-shot learning with dynamically scaled softmax loss.
Image Vis. Comput., December, 2023

OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation.
Comput. Biol. Medicine, December, 2023

A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers.
Comput. Biol. Medicine, July, 2023

Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model.
Proceedings of the IEEE International Conference on Big Data, 2023

A High Linearity Large Time Constants Switched-Resistor Filter for Biomedical Applications.
Proceedings of the 15th IEEE International Conference on ASIC, 2023

2022
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron.
Pattern Recognit., 2022

GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection.
Pattern Recognit., 2022

EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks.
CoRR, 2022

DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning.
CoRR, 2022

A Closer Look at Self-supervised Lightweight Vision Transformers.
CoRR, 2022

A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer.
CoRR, 2022

EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation.
CoRR, 2022

Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers.
Comput. Biol. Medicine, 2022

GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer.
Comput. Biol. Medicine, 2022

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach.
Comput. Biol. Medicine, 2022

Cache-locality Based Adaptive Warp Scheduling for Neural Network Acceleration on GPGPUs.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification.
Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022

2021
A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer.
CoRR, 2021

A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer.
CoRR, 2021

Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers.
CoRR, 2021

GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification.
CoRR, 2021

Weather Analogs with a Machine Learning Similarity Metric for Renewable Resource Forecasting.
CoRR, 2021

Differentiable Convolution Search for Point Cloud Processing.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
The Seventh Visual Object Tracking VOT2019 Challenge Results.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

ADNet: Appearance and Depth Features Network for Visual Object Tracking.
Proceedings of the 2nd International Conference on Computer Science and Software Engineering, 2019

2017
Robust Visual Object Tracking with Top-down Reasoning.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

2015
Multi-feature max-margin hierarchical Bayesian model for action recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Using the CER Hub to ensure data quality in a multi-institution smoking cessation study.
J. Am. Medical Informatics Assoc., 2014

A Hierarchical Model Based on Latent Dirichlet Allocation for Action Recognition.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Human Action Recognition Based on Context-Dependent Graph Kernels.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Human Action Recognition Based on Oriented Motion Salient Regions.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013
Thorough Evaluation of the Discriminabilities of Four Voting Schemes in the Generation of Histogram of Orientation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2013, 2013

Using maximum consistency context for multiple target association in wide area traffic scenes.
Proceedings of the IEEE International Conference on Acoustics, 2013

Discovering and Describing Activities by Trajectory Analysis.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012
Context-driven moving vehicle detection in wide area motion imagery.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Multi-Modal Multiple-Instance Learning with the application to the cannabis webpage recognition.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

Using Markov Random Field and subspaces to perform object tracking.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

Adaptive tracking with patches and a new particle filter.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

Drug-taking instruments recognition.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

Interclass visual similarity based visual vocabulary learning.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
Image Set Classification Using Multi-layer Multiple Instance Learning with Application to Cannabis Website Classification.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

2006
HIGCALS: a hierarchical graph-theoretic clustering active learning system.
Proceedings of the IEEE International Conference on Systems, 2006

2005
Network-Based Intrusion Detection Using Adaboost Algorithm.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

1986
Design and implementation of a gateway between two electronic mail systems.
IEEE Commun. Mag., 1986

1985
Dataflow architecture for EEG patient monitor.
SIGARCH Comput. Archit. News, 1985


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