no code implementations • 24 Oct 2023 • YuHan Liu, Pengyu Wang, Chang-Hun Lee, Roland Tóth
One major challenge for autonomous attitude takeover control for on-orbit servicing of spacecraft is that an accurate dynamic motion model of the combined vehicles is highly nonlinear, complex and often costly to identify online, which makes traditional model-based control impractical for this task.
1 code implementation • 17 Oct 2023 • Linyang Li, Botian Jiang, Pengyu Wang, Ke Ren, Hang Yan, Xipeng Qiu
Abuse of large language models reveals high risks as large language models are being deployed at an astonishing speed.
1 code implementation • 13 Oct 2023 • Pengyu Wang, Linyang Li, Ke Ren, Botian Jiang, Dong Zhang, Xipeng Qiu
Therefore, it is important to build strong AI-generated text (AIGT) detectors.
1 code implementation • 13 Oct 2023 • Linyang Li, Ke Ren, Yunfan Shao, Pengyu Wang, Xipeng Qiu
Through experimental results, we find that we can build a connection between discrete and continuous perturbations and use the proposed PerturbScore to learn such correlation, surpassing previous methods used in discrete perturbation measuring.
1 code implementation • LT4HALA (LREC) 2022 • Pengyu Wang, Zhichen Ren
Automatic analysis for modern Chinese has greatly improved the accuracy of text mining in related fields, but the study of ancient Chinese is still relatively rare.
1 code implementation • 15 Sep 2023 • Pengyu Wang, Xiaofei Li
In this work, we propose a generative dereverberation method.
1 code implementation • 18 May 2023 • Dong Zhang, ShiMin Li, Xin Zhang, Jun Zhan, Pengyu Wang, Yaqian Zhou, Xipeng Qiu
Multi-modal large language models are regarded as a crucial step towards Artificial General Intelligence (AGI) and have garnered significant interest with the emergence of ChatGPT.
no code implementations • 27 Apr 2023 • Linyang Li, Pengyu Wang, Ke Ren, Tianxiang Sun, Xipeng Qiu
The extraordinary performance of large language models (LLMs) heightens the importance of detecting whether the context is generated by an AI system.
no code implementations • 7 Nov 2022 • YuHan Liu, Pengyu Wang, Roland Tóth
Gaussian process (GP) based estimation of system models is an effective tool to learn unknown dynamics directly from input/output data.
1 code implementation • ICCV 2021 • Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng
Event camera is an emerging imaging sensor for capturing dynamics of moving objects as events, which motivates our work in estimating 3D human pose and shape from the event signals.
1 code implementation • 17 Oct 2017 • Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qi-Xing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.
no code implementations • 28 Feb 2017 • Pengyu Wang, Yuan Gan, Panpan Shui, Fenggen Yu, Yan Zhang, Songle Chen, Zhengxing Sun
3D shapes are represented as graph structures in the SFCN architecture, based on novel graph convolution and pooling operations, which are similar to convolution and pooling operations used on images.
no code implementations • 5 Dec 2015 • Pengyu Wang, Phil Blunsom
In this paper, we propose a stochastic collapsed variational inference algorithm for hidden Markov models, in a sequential data setting.
no code implementations • 5 Dec 2015 • Pengyu Wang, Phil Blunsom
Stochastic variational inference for collapsed models has recently been successfully applied to large scale topic modelling.