Zhiheng Ma

Orcid: 0000-0002-0034-2065

According to our database1, Zhiheng Ma authored at least 31 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Few-shot online anomaly detection and segmentation.
Knowl. Based Syst., 2024

Multi-modal Crowd Counting via Modal Emulation.
CoRR, 2024

Curriculum Dataset Distillation.
CoRR, 2024

Prompt Customization for Continual Learning.
CoRR, 2024

Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling.
CoRR, 2024

Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection.
CoRR, 2024

Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Gramformer: Learning Crowd Counting via Graph-Modulated Transformer.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Evolving Parameterized Prompt Memory for Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Dataset Condensation via Expert Subspace Projection.
Sensors, October, 2023

Semi-Supervised Crowd Counting via Multiple Representation Learning.
IEEE Trans. Image Process., 2023

Topology-preserving transfer learning for weakly-supervised anomaly detection and segmentation.
Pattern Recognit. Lett., 2023

Can SAM Count Anything? An Empirical Study on SAM Counting.
CoRR, 2023

Remind of the Past: Incremental Learning with Analogical Prompts.
CoRR, 2023

Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning.
CoRR, 2023

Sparse Parameterization for Epitomic Dataset Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ECCNAS: Efficient Crowd Counting Neural Architecture Search.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Semi-supervised Crowd Counting via Density Agency.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Boosting Crowd Counting via Multifaceted Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Direct Measure Matching for Crowd Counting.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Anomaly Detection Via Self-Organizing Map.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Towards A Universal Model for Cross-Dataset Crowd Counting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning to Count via Unbalanced Optimal Transport.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Transductive semi-supervised metric learning for person re-identification.
Pattern Recognit., 2020

Learning Scales from Points: A Scale-aware Probabilistic Model for Crowd Counting.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Superpixel Masking and Inpainting for Self-Supervised Anomaly Detection.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Bayesian Loss for Crowd Count Estimation With Point Supervision.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Transductive Semi-Supervised Deep Learning Using Min-Max Features.
Proceedings of the Computer Vision - ECCV 2018, 2018

2014
Harmonic analysis and simulation of multi-pulse rectifiers applied in electrolysis industry.
Proceedings of the 2014 IEEE Industry Application Society Annual Meeting, 2014


  Loading...