Zhilu Zhang

Orcid: 0000-0002-5758-5949

According to our database1, Zhilu Zhang authored at least 41 papers between 2018 and 2024.

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Bibliography

2024
Self-Supervised Video Desmoking for Laparoscopic Surgery.
CoRR, 2024

Bracketing is All You Need: Unifying Image Restoration and Enhancement Tasks with Multi-Exposure Images.
CoRR, 2024

FinBPM: A Framework for Portfolio Management-based Financial Investor Behavior Perception Model.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Learning Real-World Image De-weathering with Imperfect Supervision.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Attention-Aware Three-Branch Network for Salient Object Detection in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2023

Improving Image Restoration through Removing Degradations in Textual Representations.
CoRR, 2023

DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior.
CoRR, 2023

Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes.
CoRR, 2023

Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising.
CoRR, 2023

RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
Dropout-Based Adversarial Training Networks for Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Two-dimensional semi-nonnegative matrix factorization for clustering.
Inf. Sci., 2022

Detection of remote sensing targets with angles via modified CenterNet.
Comput. Electr. Eng., 2022

Self-Supervised Image Restoration with Blurry and Noisy Pairs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations.
Proceedings of the Computer Vision - ECCV 2022, 2022


MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022





2021
Nonnegative matrix factorization with local similarity learning.
Inf. Sci., 2021

Ex uno plures: Splitting One Model into an Ensemble of Subnetworks.
CoRR, 2021

Sensor Fault Diagnosis and Fault Tolerant Control for Automated Guided Forklift.
IEEE Access, 2021

Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
AIM 2020 Challenge on Learned Image Signal Processing Pipeline.
CoRR, 2020

Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision.
CoRR, 2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.
CoRR, 2020

Sensor Fault Diagnosis and Fault Tolerant Control for Forklift Based on Sliding Mode Theory.
IEEE Access, 2020

The Influence of Cargo Moving and Sliding Mode Control Strategy for Forklift.
IEEE Access, 2020

Self-Distillation as Instance-Specific Label Smoothing.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Adaptive Inference Networks for Single Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020



2019
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout.
CoRR, 2019

2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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