Hao Wang

Orcid: 0000-0002-6956-7342

Affiliations:
  • Northeastern University, College of Information Science and Engineering, Shenyang, China
  • Harbin Institute of Technology, School of Computer Science and Technology, China (PhD 2022)


According to our database1, Hao Wang authored at least 30 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
LHAR: Lightweight Human Activity Recognition on Knowledge Distillation.
IEEE J. Biomed. Health Informatics, November, 2024

Delving Into Cluttered Prohibited Item Detection for Security Inspection System.
IEEE Trans. Ind. Informatics, October, 2024

CBDMoE: Consistent-but-Diverse Mixture of Experts for Domain Generalization.
IEEE Trans. Multim., 2024

Relation Knowledge Distillation by Auxiliary Learning for Object Detection.
IEEE Trans. Image Process., 2024

RGB-T Saliency Detection Based on Multiscale Modal Reasoning Interaction.
IEEE Trans. Instrum. Meas., 2024

JOAStereo: Joint Learning Structured Light and Reconstruction for Generalizable Active Stereo.
IEEE Trans. Instrum. Meas., 2024

ForkNet: Overlapping Image Disentanglement for Accurate Prohibited Item Detection.
IEEE Trans. Instrum. Meas., 2024

Toward Dual-View X-Ray Baggage Inspection: A Large-Scale Benchmark and Adaptive Hierarchical Cross Refinement for Prohibited Item Discovery.
IEEE Trans. Inf. Forensics Secur., 2024

APPN: An Attention-based Pseudo-label Propagation Network for few-shot learning with noisy labels.
Neurocomputing, 2024

NTIRE 2024 Challenge on Night Photography Rendering.
CoRR, 2024

Open-Vocabulary X-ray Prohibited Item Detection via Fine-tuning CLIP.
CoRR, 2024

MMCL: Boosting Deformable DETR-Based Detectors with Multi-Class Min-Margin Contrastive Learning for Superior Prohibited Item Detection.
CoRR, 2024

AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection.
CoRR, 2024

Self-Supervised Federated Learning for Personalized Human Activity Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Fully Cascade Consistency Learning for One-Stage Object Detection.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

Self-relation attention networks for weakly supervised few-shot activity recognition.
Knowl. Based Syst., 2023

NTIRE 2023 Quality Assessment of Video Enhancement Challenge.
CoRR, 2023





2022
CrabNet: Fully Task-Specific Feature Learning for One-Stage Object Detection.
IEEE Trans. Image Process., 2022

Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep-FlexISP: A Three-Stage Framework for Night Photography Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022



2021
Constrained Online Cut-Paste for Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2021

Multi-scale structural kernel representation for object detection.
Pattern Recognit., 2021

2019
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching.
CoRR, 2019

2018
Multi-Scale Location-Aware Kernel Representation for Object Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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