Zeren Sun

Orcid: 0000-0001-6262-5338

According to our database¹, Zeren Sun authored at least 37 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Jo-SNC: Combating Noisy Labels Through Fostering Self- and Neighbor-Consistency.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

Learning 3D Representations for Spatial Intelligence from Unposed Multi-View Images.

[BibT_eX]

[DOI]

CoRR, April, 2026

PKINet-v2: Towards Powerful and Efficient Poly-Kernel Remote Sensing Object Detection.

[BibT_eX]

[DOI]

CoRR, March, 2026

Iris: Bringing Real-World Priors into Diffusion Model for Monocular Depth Estimation.

[BibT_eX]

[DOI]

CoRR, March, 2026

Combating Noisy Labels through Fostering Self- and Neighbor-Consistency.

[BibT_eX]

[DOI]

CoRR, January, 2026

Monocular 3D lane detection with geometry-guided transformation and contextual enhancement.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2026

Discriminative response pruning for robust and efficient deep networks under label noise.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2026

2025

Combating Noisy Labels in Knowledge Distillation for Efficient Edge Device Deployment.

[BibT_eX]

[DOI]

IEEE Trans. Consumer Electron., November, 2025

NiCI-Pruning: Enhancing Diffusion Model Pruning via Noise in Clean Image Guidance.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-Learning and Co-Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Relating CNN-Transformer Fusion Network for Change Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Delving Deeper Into Clean Samples for Combating Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Enhancing Robustness in Learning with Noisy Labels: An Asymmetric Co-Training Approach.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Progressively Robust Loss for Deep Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Foster Adaptivity and Balance in Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Knowledge Transfer with Simulated Inter-image Erasing for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

VideoMAC: Video Masked Autoencoders Meet ConvNets.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Poly Kernel Inception Network for Remote Sensing Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Attention Map Guided Transformer Pruning for Occluded Person Re-Identification on Edge Device.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Attention Map Guided Transformer Pruning for Edge Device.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Unsupervised Pre-training for 3D Object Detection with Transformer.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Exploiting textual queries for dynamically visual disambiguation.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Jo-SRC: A Contrastive Approach for Combating Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Road segmentation with image-LiDAR data fusion in deep neural network.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2020

Salvage Reusable Samples from Noisy Data for Robust Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification.

[BibT_eX]

[DOI]

IEEE Access, 2020

Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Road Segmentation with Image-LiDAR Data Fusion.

[BibT_eX]

[DOI]

CoRR, 2019

Dynamically Visual Disambiguation of Keyword-based Image Search.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Zeren Sun

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Bibliography

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