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Zhenyu Lou

4 papers hereh-index 6112 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedDual Grained Quantization: Efficient Fine-Grained Quantization for LLM

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2024

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…

cs.CV2024

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…

cs.CV2023

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…

cs.AI2023★ 1 cited

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:…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.