Qiming Zhang

Orcid: 0000-0003-0060-0543

Affiliations:
  • University of Sydney, NSW, Australia


According to our database1, Qiming Zhang authored at least 34 papers between 2017 and 2025.

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:

On csauthors.net:

Bibliography

2025
Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities.
ACM Comput. Surv., February, 2025

2024
Vision Transformer With Quadrangle Attention.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

ViTPose++: Vision Transformer for Generic Body Pose Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection.
CoRR, 2024

Unleashing the Power of Generic Segmentation Model: A Simple Baseline for Infrared Small Target Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Boost Spectrum Prediction With Temporal-Frequency Fusion Network via Transfer Learning.
IEEE Trans. Mob. Comput., June, 2023

ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond.
Int. J. Comput. Vis., May, 2023

Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model.
IEEE Trans. Geosci. Remote. Sens., 2023

Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey.
CoRR, 2023

BEVSimDet: Simulated Multi-modal Distillation in Bird's-Eye View for Multi-view 3D Object Detection.
CoRR, 2023


ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Model and Transfer Spatial-Temporal Knowledge for Fine-Grained Radio Map Reconstruction.
IEEE Trans. Cogn. Commun. Netw., 2022

ViTPose+: Vision Transformer Foundation Model for Generic Body Pose Estimation.
CoRR, 2022

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.
CoRR, 2022

Rethinking Hierarchies in Pre-trained Plain Vision Transformer.
CoRR, 2022

Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model.
CoRR, 2022

Toward Real-world Single Image Deraining: A New Benchmark and Beyond.
CoRR, 2022

ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

RegionCL: Exploring Contrastive Region Pairs for Self-supervised Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Attentive Cascaded Pyramid Network for Online Video Stabilization.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
CoRR, 2021

ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias.
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.
IEEE J. Sel. Top. Signal Process., 2020

Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation.
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.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Structured Pruning for Efficient ConvNets via Incremental Regularization.
CoRR, 2018

Structured Deep Neural Network Pruning by Varying Regularization Parameters.
CoRR, 2018

Structured Probabilistic Pruning for Convolutional Neural Network Acceleration.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Structured Probabilistic Pruning for Deep Convolutional Neural Network Acceleration.
CoRR, 2017


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