Qiming Zhang

Orcid: 0000-0003-0060-0543

Affiliations:

University of Sydney, NSW, Australia

According to our database¹, Qiming Zhang authored at least 30 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2024

Vision Transformer With Quadrangle Attention.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

ViTPose++: Vision Transformer for Generic Body Pose Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Boost Spectrum Prediction With Temporal-Frequency Fusion Network via Transfer Learning.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., June, 2023

ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., May, 2023

Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

BEVSimDet: Simulated Multi-modal Distillation in Bird's-Eye View for Multi-view 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

1<sup>st</sup> Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.

[BibT_eX]

[DOI]

Fabio Augusto de Alcantara Andrade

Christophe De Vleeschouwer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Model and Transfer Spatial-Temporal Knowledge for Fine-Grained Radio Map Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2022

ViTPose+: Vision Transformer Foundation Model for Generic Body Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.

[BibT_eX]

[DOI]

Fabio Augusto de Alcantara Andrade

Christophe De Vleeschouwer

CoRR, 2022

Rethinking Hierarchies in Pre-trained Plain Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2022

Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model.

[BibT_eX]

[DOI]

CoRR, 2022

Toward Real-world Single Image Deraining: A New Benchmark and Beyond.

[BibT_eX]

[DOI]

CoRR, 2022

ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VSA: Learning Varied-Size Window Attention in Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

RegionCL: Exploring Contrastive Region Pairs for Self-supervised Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Attentive Cascaded Pyramid Network for Online Video Stabilization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?

[BibT_eX]

[DOI]

CoRR, 2021

ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Structured Pruning for Efficient Convolutional Neural Networks via Incremental Regularization.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Structured Pruning for Efficient ConvNets via Incremental Regularization.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Structured Pruning for Efficient ConvNets via Incremental Regularization.

[BibT_eX]

[DOI]

CoRR, 2018

Structured Deep Neural Network Pruning by Varying Regularization Parameters.

[BibT_eX]

[DOI]

CoRR, 2018

Structured Probabilistic Pruning for Convolutional Neural Network Acceleration.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Structured Probabilistic Pruning for Deep Convolutional Neural Network Acceleration.

[BibT_eX]

[DOI]

CoRR, 2017

Qiming Zhang

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