Qiang Qu
Orcid: 0000-0002-6648-5050Affiliations:
- University of Sydney, Sydney, Australia
According to our database1,
Qiang Qu
authored at least 20 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
CoRR, August, 2025
On the Theory of Conditional Feature Alignment for Unsupervised Domain-Adaptive Counting.
CoRR, June, 2025
CoRR, April, 2025
CoRR, March, 2025
NVS-SQA: Exploring Self-Supervised Quality Representation Learning for Neurally Synthesized Scenes without References.
CoRR, January, 2025
Trans. Mach. Learn. Res., 2025
LLM-EvRep: Learning an LLM-Compatible Event Representation Using a Self-Supervised Framework.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
VF-Lens: Enhancing Visual Perception of Visually Impaired Users in VR via Adversarial Learning with Visual Field Attention.
Proceedings of the IEEE Conference Virtual Reality and 3D User Interfaces, 2025
2024
NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis Methods.
IEEE Trans. Vis. Comput. Graph., May, 2024
EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based Vision.
IEEE Trans. Image Process., 2024
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions.
CoRR, 2024
CoRR, 2024
Can Large Language Models Grasp Event Signals? Exploring Pure Zero-Shot Event-based Recognition.
CoRR, 2024
E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
LFACon: Introducing Anglewise Attention to No-Reference Quality Assessment in Light Field Space.
IEEE Trans. Vis. Comput. Graph., 2023
2022
AmbientTransfer: Presence Enhancement by Converting Video Ambient to Users' Somatosensory Feedback.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022
2021
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions.
IEEE Trans. Broadcast., 2021
2019
Improved image classification with 4D light-field and interleaved convolutional neural network.
Multim. Tools Appl., 2019
Towards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning.
CoRR, 2019