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Pengpeng Yu

2 accepted papers

2025

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers

AAAI 2025technical

Post-training quantization (PTQ) has emerged as a promising solution for reducing the storage and computational cost of vision transformers (ViTs). Recent advances primarily target at crafting quantizers to deal with peculiar activations characterized by ViTs. However, most existing methods underest…

Cited by 0SourcePDFScholar
2024

Efficient Point Cloud Attribute Compression Using Rich Parallelizable Context Model

ICASSP 2024accepted

The autoregressive context model has been proven effective in point cloud attribute compression. However, it suffers from unbearable decoding latency due to the limitations of serial decoding and the large scale of point clouds. In this paper, we propose a rich, parallelizable context model for poin…

Cited by 0SourceScholar