Zeren Sun

Orcid: 0000-0001-6262-5338

According to our database1, Zeren Sun authored at least 20 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Poly Kernel Inception Network for Remote Sensing Detection.
CoRR, 2024

VideoMAC: Video Masked Autoencoders Meet ConvNets.
CoRR, 2024

Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection.
CoRR, 2024

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data.
IEEE Trans. Multim., 2023

Attention Map Guided Transformer Pruning for Occluded Person Re-Identification on Edge Device.
IEEE Trans. Multim., 2023

Attention Map Guided Transformer Pruning for Edge Device.
CoRR, 2023

2022
Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise.
IEEE Trans. Multim., 2022

Unsupervised Pre-training for 3D Object Detection with Transformer.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Exploiting textual queries for dynamically visual disambiguation.
Pattern Recognit., 2021

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Jo-SRC: A Contrastive Approach for Combating Noisy Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Road segmentation with image-LiDAR data fusion in deep neural network.
Multim. Tools Appl., 2020

Salvage Reusable Samples from Noisy Data for Robust Learning.
CoRR, 2020

Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification.
IEEE Access, 2020

Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Road Segmentation with Image-LiDAR Data Fusion.
CoRR, 2019

Dynamically Visual Disambiguation of Keyword-based Image Search.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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