Jiezhang Cao

Orcid: 0000-0002-0050-4714

According to our database¹, Jiezhang Cao authored at least 47 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Towards Lightweight Super-Resolution With Dual Regression Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., November, 2024

Deep Beyond Pixels: Enhancing Super-Resolution via Deep Learning.

[BibT_eX]

[DOI]

Jiezhang Cao

PhD thesis, 2024

VRT: A Video Restoration Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging.

[BibT_eX]

[DOI]

CoRR, 2024

Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2024

Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering.

[BibT_eX]

[DOI]

CoRR, 2024

Dual Prior Unfolding for Snapshot Compressive Imaging.

[BibT_eX]

[DOI]

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

Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

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

DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model.

[BibT_eX]

[DOI]

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

Deep Equilibrium Diffusion Restoration with Parallel Sampling.

[BibT_eX]

[DOI]

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

2023

Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis.

[BibT_eX]

[DOI]

Mach. Intell. Res., December, 2023

Learning defense transformations for counterattacking adversarial examples.

[BibT_eX]

[DOI]

Neural Networks, July, 2023

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

CoRR, 2023

MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing.

[BibT_eX]

[DOI]

CoRR, 2023

LocalViT: Analyzing Locality in Vision Transformers.

[BibT_eX]

[DOI]

IROS, 2023

Denoising Diffusion Models for Plug-and-Play Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Event-Based Frame Interpolation with Ad-hoc Deblurring.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LSDIR: A Large Scale Dataset for Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Generative Adversarial Networks With Local Coordinate Coding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards interpreting deep neural networks via layer behavior understanding.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Practical Real Video Denoising with Realistic Degradation Model.

[BibT_eX]

[DOI]

CoRR, 2022

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

Recurrent Video Restoration Transformer with Guided Deformable Attention.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Interpretable Video Super-Resolution via Alternating Optimization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Reference-Based Image Super-Resolution with Deformable Attention Transformer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Online Adaptive Asymmetric Active Learning With Limited Budgets.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Video Super-Resolution Transformer.

[BibT_eX]

[DOI]

CoRR, 2021

LocalViT: Bringing Locality to Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Internal Wasserstein Distance for Adversarial Attack and Defense.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Defense Transformers for Counterattacking Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2021

SwinIR: Image Restoration Using Swin Transformer.

[BibT_eX]

[DOI]

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

2020

A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays.

[BibT_eX]

[DOI]

CoRR, 2020

Joint Wasserstein Distribution Matching.

[BibT_eX]

[DOI]

CoRR, 2020

Generative Low-Bitwidth Data Free Quantization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Multi-marginal Wasserstein GAN.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Oversampling for Imbalanced Data via Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss.

[BibT_eX]

[DOI]

CoRR, 2018

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Adversarial Learning with Local Coordinate Coding.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Tensor Based Relations Ranking for Multi-relational Collective Classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

On the Flatness of Loss Surface for Two-layered ReLU Networks.

[BibT_eX]

[DOI]

Proceedings of The 9th Asian Conference on Machine Learning, 2017

Jiezhang Cao

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