3 citations · 4 across the 5 of their papers we have counts for
5 papers
Multimodal Sense-Informed Prediction of 3D Human Motions
Zhenyu Lou, Qiongjie Cui, Haofan Wang +2
Predicting future human pose is a fundamental application for machine intelligence, which drives robots to plan their behavior and paths ahead of time to seamlessly accomplish huma…
Towards Accurate Post-training Quantization for Reparameterized Models
Luoming Zhang, Yefei He, Wen Fei +4
Model reparameterization is a widely accepted technique for improving inference speed without compromising performance. However, current Post-training Quantization (PTQ) methods of…
DSText V2: A Comprehensive Video Text Spotting Dataset for Dense and Small Text
Weijia Wu, Yiming Zhang, Yefei He +4
Recently, video text detection, tracking, and recognition in natural scenes are becoming very popular in the computer vision community. However, most existing algorithms and benchm…
Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM
Luoming Zhang, Wen Fei, Weijia Wu +3
Large Language Models (LLMs) pose significant hardware challenges related to memory requirements and computational ability. There are two mainstream quantization schemes for LLMs:…
BiViT: Extremely Compressed Binary Vision Transformer
Yefei He, Zhenyu Lou, Luoming Zhang +4
Model binarization can significantly compress model size, reduce energy consumption, and accelerate inference through efficient bit-wise operations. Although binarizing convolution…