Search Results for author: Biao Wu

Found 12 papers, 8 papers with code

Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion

1 code implementation18 May 2024 Zeyu Zhang, Yiran Wang, Biao Wu, Shuo Chen, Zhiyuan Zhang, Shiya Huang, Wenbo Zhang, Meng Fang, Ling Chen, Yang Zhao

Firstly, we proposed a novel agent-based approach named Motion Avatar, which allows for the automatic generation of high-quality customizable human and animal avatars with motions through text queries.

I Learn Better If You Speak My Language: Enhancing Large Language Model Fine-Tuning with Style-Aligned Response Adjustments

no code implementations17 Feb 2024 Xuan Ren, Biao Wu, Lingqiao Liu

The potential for overfitting on a limited number of examples can negatively impact the model's ability to generalize and retain its original skills.

Language Modelling Large Language Model

IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers

1 code implementation NeurIPS 2023 Zhenglin Huang, Xiaoan Bao, Na Zhang, Qingqi Zhang, Xiaomei Tu, Biao Wu, Xi Yang

Data augmentation has been proven effective for training high-accuracy convolutional neural network classifiers by preventing overfitting.

Anomaly Detection Data Augmentation

From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying

no code implementations6 Oct 2023 Biao Wu, Qiang Huang, Anthony K. H. Tung

In this paper, we concentrate on the domain of tabular data and introduce a novel methodology, Local Distribution Shifting Synthesis (\textsc{LDSS}), to detect leaked data that are used to train classification models.

BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Dataset

1 code implementation22 Aug 2023 Biao Wu, Yutong Xie, Zeyu Zhang, Jinchao Ge, Kaspar Yaxley, Suzan Bahadir, Qi Wu, Yifan Liu, Minh-Son To

Intracranial hemorrhage (ICH) is a pathological condition characterized by bleeding inside the skull or brain, which can be attributed to various factors.

Image Segmentation Medical Image Segmentation +2

Recyclable Semi-supervised Method Based on Multi-model Ensemble for Video Scene Parsing

no code implementations5 Jun 2023 Biao Wu, Shaoli Liu, Diankai Zhang, Chengjian Zheng, Si Gao, Xiaofeng Zhang, Ning Wang

Pixel-level Scene Understanding is one of the fundamental problems in computer vision, which aims at recognizing object classes, masks and semantics of each pixel in the given image.

Scene Understanding Semantic Segmentation +1

S4M: Generating Radiology Reports by A Single Model for Multiple Body Parts

1 code implementation26 May 2023 Qi Chen, Yutong Xie, Biao Wu, Minh-Son To, James Ang, Qi Wu

In this paper, we seek to design a report generation model that is able to generate reasonable reports even given different images of various body parts.

Physical Distance Between Quantum States

1 code implementation13 Jul 2020 Zhenduo Wang, Yijie Wang, Biao Wu

We propose a physical distance between two quantum states.

Quantum Physics

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