Jie Shao

Affiliations:
  • ByteDance AI Lab., Beijing, China


According to our database1, Jie Shao authored at least 14 papers between 2015 and 2021.

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

2021
Temporal Context Aggregation for Video Retrieval with Contrastive Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Human Parsing with Edge Enhancement.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Mining Contextual Information Beyond Image for Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Contrast and Order Representations for Video Self-supervised Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Context Encoding for Video Retrieval with Contrastive Learning.
CoRR, 2020

Is normalization indispensable for training deep neural network?
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learnable Higher-Order Representation for Action Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Towards Good Practices for Video Object Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Unsupervised Teacher-Student Model for Large-Scale Video Retrieval.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Temporal Feature Augmented Network for Video Instance Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
High Order Neural Networks for Video Classification.
CoRR, 2018

Qiniu Submission to ActivityNet Challenge 2018.
CoRR, 2018

2015
Learning to Point and Count.
CoRR, 2015

Multiple Granularity Descriptors for Fine-Grained Categorization.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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