Yan Wang

Affiliations:
  • Tsinghua University, SenseTime Research, China


According to our database1, Yan Wang authored at least 16 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Bandwidth-efficient Inference for Neural Image Compression.
CoRR, 2023

2022
ECM-OPCC: Efficient Context Model for Octree-based Point Cloud Compression.
CoRR, 2022

Correcting the Sub-optimal Bit Allocation.
CoRR, 2022

Bit Allocation using Optimization.
CoRR, 2022

Evaluating the Practicality of Learned Image Compression.
CoRR, 2022

Post-Training Quantization for Cross-Platform Learned Image Compression.
CoRR, 2022

Multi-Sample Training for Neural Image Compression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Flexible Neural Image Compression via Code Editing.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Spatial Moment Pooling Improves Neural Image Assessment.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

PO-ELIC: Perception-Oriented Efficient Learned Image Coding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning.
CoRR, 2021

Checkerboard Context Model for Efficient Learned Image Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Cross-dataset Training for Class Increasing Object Detection.
CoRR, 2020

2019
Fully Quantized Network for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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