92 citations · 263 across the 15 of their papers we have counts for
9 papers · 1 filter
Efficient Visual Computing with Camera RAW Snapshots
Zhihao Li, Ming Lu, Xu Zhang +3
Conventional cameras capture image irradiance on a sensor and convert it to RGB images using an image signal processor (ISP). The images can then be used for photography or visual…
Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression
Junqi Shi, Ming Lu, Zhan Ma
Quantizing a floating-point neural network to its fixed-point representation is crucial for Learned Image Compression (LIC) because it improves decoding consistency for interoperab…
CARNet:Compression Artifact Reduction for Point Cloud Attribute
Dandan Ding, Junzhe Zhang, Jianqiang Wang +1
A learning-based adaptive loop filter is developed for the Geometry-based Point Cloud Compression (G-PCC) standard to reduce attribute compression artifacts. The proposed method fi…
Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention
Ruixiang Xue, Jianqiang Wang, Zhan Ma
Although convolutional representation of multiscale sparse tensor demonstrated its superior efficiency to accurately model the occupancy probability for the compression of geometry…
Lossy Image Compression with Quantized Hierarchical VAEs
Zhihao Duan, Ming Lu, Zhan Ma +1
Recent research has shown a strong theoretical connection between variational autoencoders (VAEs) and the rate-distortion theory. Motivated by this, we consider the problem of loss…
Rendering Nighttime Image Via Cascaded Color and Brightness Compensation
Zhihao Li, Si Yi, Zhan Ma
Image signal processing (ISP) is crucial for camera imaging, and neural networks (NN) solutions are extensively deployed for daytime scenes. The lack of sufficient nighttime image…
Sparse Tensor-based Point Cloud Attribute Compression
Jianqiang Wang, Zhan Ma
Recently, numerous learning-based compression methods have been developed with outstanding performance for the coding of the geometry information of point clouds. On the contrary,…
High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation
Ming Lu, Fangdong Chen, Shiliang Pu +1
Questing for learned lossy image coding (LIC) with superior compression performance and computation throughput is challenging. The vital factor behind it is how to intelligently ex…
Opening the Black Box of Learned Image Coders
Zhihao Duan, Ming Lu, Zhan Ma +1
End-to-end learned lossy image coders (LICs), as opposed to hand-crafted image codecs, have shown increasing superiority in terms of the rate-distortion performance. However, they…