Search Results for author: Zhen Sun

Found 11 papers, 5 papers with code

The Rising Threat to Emerging AI-Powered Search Engines

no code implementations7 Feb 2025 Zeren Luo, Zifan Peng, Yule Liu, Zhen Sun, Mingchen Li, Jingyi Zheng, Xinlei He

However, we observe that these AIPSEs raise risks such as quoting malicious content or citing malicious websites, leading to harmful or unverified information dissemination.

On the Generalization Ability of Machine-Generated Text Detectors

1 code implementation23 Dec 2024 Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, Xinlei He

The rise of large language models (LLMs) has raised concerns about machine-generated text (MGT), including ethical and practical issues like plagiarism and misinformation.

Benchmarking Misinformation

Quantized Delta Weight Is Safety Keeper

no code implementations29 Nov 2024 Yule Liu, Zhen Sun, Xinlei He, Xinyi Huang

Regarding the security risks, user-defined fine-tuning can introduce security vulnerabilities, such as alignment issues, backdoor attacks, and hallucinations.

Quantization

SMART: Scene-motion-aware human action recognition framework for mental disorder group

1 code implementation7 Jun 2024 Zengyuan Lai, Jiarui Yang, Songpengcheng Xia, Qi Wu, Zhen Sun, Wenxian Yu, Ling Pei

In this paper, we innovatively propose to build a vision-based HAR dataset including abnormal actions often occurring in the mental disorder group and then introduce a novel Scene-Motion-aware Action Recognition Technology framework, named SMART, consisting of two technical modules.

Action Recognition Temporal Action Localization

PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical Instruments

1 code implementation16 Nov 2023 Zhen Sun, Huan Xu, Jinlin Wu, Zhen Chen, Zhen Lei, Hongbin Liu

To address this issue, we propose a novel yet effective weakly-supervised surgical instrument instance segmentation approach, named Point-based Weakly-supervised Instance Segmentation (PWISeg).

Instance Segmentation Segmentation +4

NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping

1 code implementation ICCV 2023 Junyuan Deng, Xieyuanli Chen, Songpengcheng Xia, Zhen Sun, Guoqing Liu, Wenxian Yu, Ling Pei

To bridge this gap, in this paper, we propose a novel NeRF-based LiDAR odometry and mapping approach, NeRF-LOAM, consisting of three modules neural odometry, neural mapping, and mesh reconstruction.

NeRF

Attention-SLAM: A Visual Monocular SLAM Learning from Human Gaze

1 code implementation15 Sep 2020 Jinquan Li, Ling Pei, Danping Zou, Songpengcheng Xia, Qi Wu, Tao Li, Zhen Sun, Wenxian Yu

This paper proposes a novel simultaneous localization and mapping (SLAM) approach, namely Attention-SLAM, which simulates human navigation mode by combining a visual saliency model (SalNavNet) with traditional monocular visual SLAM.

Simultaneous Localization and Mapping

Similarity and delay between two non-narrow-band time signals

no code implementations6 May 2020 Zhen Sun, Guocheng Wang, Xiaoqing Su, Xinghui Liang, Lintao Liu

Based on the time-frequency phase spectrum (TFPS) provided by normal time-frequency transform (NTFT), similarity coefficient is proposed to measure the similarity between two non-narrow-band time signals, even if the signals are noised.

Vocal Bursts Valence Prediction

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