Task-Aware Encoder Control for Deep Video Compression.
CoRR, 2024
GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting.
Proceedings of the Computer Vision - ECCV 2024, 2024
Bandwidth-efficient Inference for Neural Image Compression.
CoRR, 2023
Bit Allocation using Optimization.
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Proceedings of the International Conference on Machine Learning, 2023
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.
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CoRR, 2022
Evaluating the Practicality of Learned Image Compression.
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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
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
Cross-dataset Training for Class Increasing Object Detection.
CoRR, 2020
Fully Quantized Network for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019