Search Results for author: Qian Qi

Found 5 papers, 3 papers with code

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

1 code implementation4 Jul 2023 Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Yuhao Dan, Chenlin Zhao, Guohai Xu, Chenliang Li, Junfeng Tian, Qian Qi, Ji Zhang, Fei Huang

Nevertheless, without in-domain training, these models tend to ignore fine-grained OCR features, such as sophisticated tables or large blocks of text, which are essential for OCR-free document understanding.

document understanding Language Modelling +2

Artificial Intelligence and Dual Contract

no code implementations22 Mar 2023 Wuming Fu, Qian Qi

With the dramatic progress of artificial intelligence algorithms in recent times, it is hoped that algorithms will soon supplant human decision-makers in various fields, such as contract design.

Q-Learning

A Framework of Transaction Packaging in High-throughput Blockchains

no code implementations26 Jan 2023 Yuxuan Lu, Qian Qi, Xi Chen

We develop a model of coordination and allocation of decentralized multi-sided markets, in which our theoretical analysis is promisingly optimizing the decentralized transaction packaging process at high-throughput blockchains or Web 3. 0 platforms.

Vocal Bursts Intensity Prediction

FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation

1 code implementation30 Aug 2022 Jianlong Yuan, Qian Qi, Fei Du, Zhibin Wang, Fan Wang, Yifan Liu

Inspired by the recent progress on semantic directions on feature-space, we propose to include augmentations in feature space for efficient distillation.

Knowledge Distillation Segmentation +1

Graph Convolution for Re-ranking in Person Re-identification

1 code implementation5 Jul 2021 Yuqi Zhang, Qian Qi, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin

In this work, we propose a graph-based re-ranking method to improve learned features while still keeping Euclidean distance as the similarity metric.

Person Re-Identification Re-Ranking +1

Cannot find the paper you are looking for? You can Submit a new open access paper.