Jiaqian Yu

Orcid: 0000-0002-2612-1762

According to our database1, Jiaqian Yu authored at least 14 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction.
CoRR, 2024

2023
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
The Tenth Visual Object Tracking VOT2022 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

The Eighth Visual Object Tracking VOT2020 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AFOD: Adaptive Focused Discriminative Segmentation Tracker.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2018
Yes, IoU loss is submodular - as a function of the mispredictions.
CoRR, 2018

2017
An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses.
CoRR, 2017

2016
Efficient Learning for Discriminative Segmentation with Supermodular Losses.
Proceedings of the British Machine Vision Conference 2016, 2016

A Convex Surrogate Operator for General Non-Modular Loss Functions.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
The Lovász Hinge: A Convex Surrogate for Submodular Losses.
CoRR, 2015

Learning Submodular Losses with the Lovasz Hinge.
Proceedings of the 32nd International Conference on Machine Learning, 2015


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