Xu Ouyang

According to our database1, Xu Ouyang authored at least 26 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Image restoration refinement with Uformer GAN.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Secure and Effective Data Appraisal for Machine Learning.
CoRR, 2023

Efficient NLP Model Finetuning via Multistage Data Filtering.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Efficient Model Finetuning for Text Classification via Data Filtering.
CoRR, 2022

e-G2C: A 0.14-to-8.31 µJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

i-FlatCam: A 253 FPS, 91.49 µJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

Semi-supervised Dual-Domain Adaptation for Semantic Segmentation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Contrastive quant: quantization makes stronger contrastive learning.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Fully RNN for knee ligament tear classification and localization in MRI scans.
Proceedings of the Computational Imaging XX, online, January 15-26, 2022, 2022

2021
Semi-supervised Domain Adaptation for Semantic Segmentation.
CoRR, 2021

Mask-based Data Augmentation for Semi-supervised Semantic Segmentation.
CoRR, 2021

Risk Analysis and Utility Function-Based Decision-Making Model for Spinning Reserve Allocations.
IEEE Access, 2021

Accelerated WGAN update strategy with loss change rate balancing.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ComplexMix: Semi-Supervised Semantic Segmentation Via Mask-Based Data Augmentation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Semantic Segmentation in Aerial Images Using Class-Aware Unsupervised Domain Adaptation.
Proceedings of the GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2021

"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Domain Adaptation of Semantic Segmentation for Aerial Images.
CoRR, 2020

Adaptive WGAN with loss change rate balancing.
CoRR, 2020

2019
ChangeNet: Learning to Detect Changes in Satellite Images.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019

2018
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Generating Image Sequence from Description with LSTM Conditional GAN.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

MFCNET: End-to-End Approach for Change Detection in Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Lecture video indexing using boosted margin maximizing neural networks.
CoRR, 2017

Lecture Vdeo Indexing Using Boosted Margin Maximizing Neural Networks.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017


  Loading...