20 citations · 32 across the 6 of their papers we have counts for
6 papers
Practical Lossless Volumetric Medical Image Compression via Tri-plane Context Tree Learning
Yuanchao Bai, Yifan Zhao, Kai Wang +5
Lossless compression of volumetric medical images is of paramount importance for clinical and research applications where data fidelity is essential. Traditional compression method…
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression
Daxin Li, Yuanchao Bai, Kai Wang +3
Transformer-based entropy models have gained prominence in recent years due to their superior ability to capture long-range dependencies in probability distribution estimation comp…
SpikeCodec: An End-to-end Learned Compression Framework for Spiking Camera
Kexiang Feng, Chuanmin Jia, Siwei Ma +1
Recently, the bio-inspired spike camera with continuous motion recording capability has attracted tremendous attention due to its ultra high temporal resolution imaging characteris…
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang +5
In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method with Joint-wise reProjection-based Multi-hypothesis Aggregation (JPMA) is proposed for probabilistic 3D huma…
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression
Yuanchao Bai, Xianming Liu, Kai Wang +3
Lossless and near-lossless image compression is of paramount importance to professional users in many technical fields, such as medicine, remote sensing, precision engineering and…
Gradient Correction beyond Gradient Descent
Zefan Li, Bingbing Ni, Teng Li +2
The great success neural networks have achieved is inseparable from the application of gradient-descent (GD) algorithms. Based on GD, many variant algorithms have emerged to improv…