Zongyu Guo

Orcid: 0000-0002-3770-3442

According to our database1, Zongyu Guo authored at least 26 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Exploring the rate-distortion-complexity optimization in neural image compression.
J. Vis. Commun. Image Represent., 2024

RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PBIM: Paired Backdoor Injection Method for Change Detection.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

SPY-Watermark: Robust Invisible Watermarking for Backdoor Attack.
Proceedings of the IEEE International Conference on Acoustics, 2024

Conditional Neural Video Coding with Spatial-Temporal Super-Resolution.
Proceedings of the Data Compression Conference, 2024

PAPnet: A Plug-and-play Virus Network for Backdoor Attack.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
Learning Cross-Scale Weighted Prediction for Efficient Neural Video Compression.
IEEE Trans. Image Process., 2023

Compression with Bayesian Implicit Neural Representations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Versatile Neural Processes for Learning Implicit Neural Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

NVTC: Nonlinear Vector Transform Coding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Causal Contextual Prediction for Learned Image Compression.
IEEE Trans. Circuits Syst. Video Technol., 2022

Image Coding for Machines with Omnipotent Feature Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Learning Cross-Scale Prediction for Efficient Neural Video Compression.
CoRR, 2021

Versatile Learned Video Compression.
CoRR, 2021

Analyzing Time Complexity of Practical Learned Image Compression Models.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Accelerate Neural Image Compression with Channel-Adaptive Arithmetic Coding.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Soft then Hard: Rethinking the Quantization in Neural Image Compression.
Proceedings of the 38th International Conference on Machine Learning, 2021

Perceptual Friendly Variable Rate Image Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Latent-Separated Global Prediction for Learned Image Compression.
CoRR, 2020

3-D Context Entropy Model for Improved Practical Image Compression.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learned Video Compression with Feature-level Residuals.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Region Normalization for Image Inpainting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Beyond Coding: Detection-driven Image Compression with Semantically Structured Bit-stream.
Proceedings of the Picture Coding Symposium, 2019

Deep Scalable Image Compression via Hierarchical Feature Decorrelation.
Proceedings of the Picture Coding Symposium, 2019

Progressive Image Inpainting with Full-Resolution Residual Network.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Interleaved Zooming Network for Image Inpainting.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019


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