Yang Zou

Orcid: 0000-0003-0396-7850

Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA, USA


According to our database1, Yang Zou authored at least 13 papers between 2017 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Hard class rectification for domain adaptation.
Knowl. Based Syst., 2021

2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Deep Classification Network for Monocular Depth Estimation.
CoRR, 2019

Confidence Regularized Self-Training.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Conservative Wasserstein Training for Pose Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training.
CoRR, 2018

Data Augmentation via Latent Space Interpolation for Image Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

A joint optimization framework of low-dimensional projection and collaborative representation for discriminative classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training.
Proceedings of the Computer Vision - ECCV 2018, 2018

Simultaneous Edge Alignment and Learning.
Proceedings of the Computer Vision - ECCV 2018, 2018

Ordinal Regression with Neuron Stick-Breaking for Medical Diagnosis.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Scale optimization for full-image-CNN vehicle detection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017


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