IEEE

FPGA-based Medical Image Processing Using Hardware-Software Co-design Approach

Abstract: This paper presents a field-programmable gate array (FPGA) based medical image processing framework using a hardware-software co-design approach for biomedical tasks such as Malaria and ...
GitHub

Tree-Shu-Zhao/ITQ_PyTorch

usage: run.py [-h] [--dataset DATASET] [--root ROOT] [--code-length CODE_LENGTH] [--max-iter MAX_ITER] [--topk TOPK] [--gpu GPU] ITQ_PyTorch optional arguments: -h ...
GitHub

[ICCV 2025] D³QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
IEEE

BRIC: Bottom-Up Residual Vector Quantization for Learned Image Compression

Abstract: This paper presents Bottom-up Residual vector quantization for learned Image Compression (BRIC). This novel deep learning-based image compression method quantizes latent representations ...