no code implementations • 30 Apr 2024 • Xinzhe Li, Ming Liu, Shang Gao
Retrieval-augmented Generation (RAG) systems have been actively studied and deployed across various industries to query on domain-specific knowledge base.
1 code implementation • 28 Apr 2024 • Haiwen Diao, Ying Zhang, Shang Gao, Xiang Ruan, Huchuan Lu
Specifically, we propose a brand-new Deep Boosting Learning (DBL) algorithm, where an anchor branch is first trained to provide insights into the data properties, with a target branch gaining more advanced knowledge to develop optimal features and distance metrics.
1 code implementation • 8 Mar 2024 • Devanshu Agrawal, Shang Gao, Martin Gajek
Long-context large language models (LLMs) hold promise for tasks such as question-answering (QA) over long documents, but they tend to miss important information in the middle of context documents (arXiv:2307. 03172v3).
1 code implementation • 15 Dec 2023 • Shang Gao, Chenyang Yu, Pingping Zhang, Huchuan Lu
In addition, existing occluded person ReID benchmarks utilize occluded samples as queries, which will amplify the role of alleviating occlusion interference and underestimate the impact of the feature absence issue.
no code implementations • 7 Nov 2023 • Stella Ho, Ming Liu, Shang Gao, Longxiang Gao
Recent advances in continual learning are mostly confined to a supervised learning setting, especially in NLP domain.
no code implementations • 1 Nov 2023 • Qingqiu Li, Jilan Xu, Runtian Yuan, Mohan Chen, Yuejie Zhang, Rui Feng, Xiaobo Zhang, Shang Gao
Automatic generation of radiology reports holds crucial clinical value, as it can alleviate substantial workload on radiologists and remind less experienced ones of potential anomalies.
1 code implementation • NeurIPS 2023 • Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li
The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal reasoning can LLMs perform?
1 code implementation • 2 Jul 2023 • Xinzhe Li, Ming Liu, Shang Gao
This paper addresses the ethical concerns arising from the use of unauthorized public data in deep learning models and proposes a novel solution.
1 code implementation • 27 Jun 2023 • Xinzhe Li, Ming Liu, Shang Gao
For Pretrained Language Models (PLMs), their susceptibility to noise has recently been linked to subword segmentation.
no code implementations • 27 Jun 2023 • Xinzhe Li, Ming Liu, Shang Gao, Wray Buntine
Adversarial robustness, domain generalization and dataset biases are three active lines of research contributing to out-of-distribution (OOD) evaluation on neural NLP models.
1 code implementation • 24 Apr 2023 • Jinyu Yang, Mingqi Gao, Zhe Li, Shang Gao, Fangjing Wang, Feng Zheng
Therefore, in this report, we propose Track Anything Model (TAM), which achieves high-performance interactive tracking and segmentation in videos.
no code implementations • 18 Feb 2023 • Feisha Hu, Qi Wang, Haijian Shao, Shang Gao, Hualong Yu
To improve the performance of OCKELM, we choose a Triangular Global Alignment Kernel (TGAK) instead of an RBF Kernel and introduce the Fast Independent Component Analysis (FastICA) algorithm to reconstruct UAV data.
1 code implementation • CVPR 2023 • Jinyu Yang, Shang Gao, Zhe Li, Feng Zheng, Aleš Leonardis
However, current research on aerial perception has mainly focused on limited categories, such as pedestrian or vehicle, and most scenes are captured in urban environments from a birds-eye view.
1 code implementation • 18 Nov 2022 • Salma Gonzalez-Sabbagh, Antonio Robles-Kelly, Shang Gao
Our Dual Generator Dewatering cGAN (DGD-cGAN) removes the haze and colour cast induced by the water column and restores the true colours of underwater scenes whereby the effects of various attenuation and scattering phenomena that occur in underwater images are tackled by the two generators.
no code implementations • 6 Nov 2022 • Shang Gao, Jinyu Yang, Zhe Li, Feng Zheng, Aleš Leonardis, Jingkuan Song
However, some existing RGBD trackers use the two modalities separately and thus some particularly useful shared information between them is ignored.
no code implementations • 5 Oct 2022 • Yang Yi, Xuequan Lu, Shang Gao, Antonio Robles-Kelly, Yuejie Zhang
Three new graph datasets are constructed based on ModelNet40, ModelNet10 and ShapeNet Part datasets.
1 code implementation • CVPR 2022 • Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao
In this paper, we empirically prove that this problem is associated with the mixup of the activation values between less discriminative foreground regions and the background.
no code implementations • 6 Apr 2022 • Weijie Dong, Shang Gao, Xiang Yin, ShaoYuan Li
Non-deterministic observation is a general observation model that includes the case of intermittent loss of observations.
no code implementations • 5 Jan 2022 • Shuaijun Chen, Jinxi Wang, Wei Pan, Shang Gao, Meili Wang, Xuequan Lu
As a popular representation of 3D data, point cloud may contain noise and need to be filtered before use.
no code implementations • 9 Sep 2021 • Xuanyu Duan, Mengmeng Ge, Triet H. M. Le, Faheem Ullah, Shang Gao, Xuequan Lu, M. Ali Babar
This security model automatically assesses the security of the IoT network by capturing potential attack paths.
no code implementations • 25 Aug 2021 • Yaping Jing, Xuequan Lu, Shang Gao
Face recognition is one of the most studied research topics in the community.
no code implementations • 29 Jan 2021 • Shang Gao, Andrew F. May, Mao-Hua Du, Joseph A. M. Paddison, Hasitha Suriya Arachchige, Ganesh Pokharel, Clarina dela Cruz, Qiang Zhang, Georg Ehlers, David S. Parker, David G. Mandrus, Matthew B. Stone, Andrew D. Christianson
The hierarchy of the coupling strengths in a physical system often engenders an effective model at low energies where the decoupled high-energy modes are integrated out.
Strongly Correlated Electrons
no code implementations • 5 Jan 2021 • Mohammed Alawad, Shang Gao, Mayanka Chandra Shekar, S. M. Shamimul Hasan, J. Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jennifer Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia Tourassi
Word embeddings that effectively capture the meaning and context of the word that they represent can significantly improve the performance of downstream DL models for various NLP tasks.
no code implementations • 1 Jan 2021 • William R. Meier, Bryan C. Chakoumakos, Satoshi Okamoto, Michael A. McGuire, Raphaël P. Hermann, German D. Samolyuk, Shang Gao, Qiang Zhang, Matthew B. Stone, Andrew D. Christianson, Brian C. Sales
Single crystal x-ray diffraction reveals super-lattice peaks in the low-temperature phase signaling the development of a CDW lattice modulation.
Strongly Correlated Electrons Materials Science
1 code implementation • ICCV 2021 • Yingquan Wang, Pingping Zhang, Shang Gao, Xia Geng, Hu Lu, Dong Wang
Video-based person re-identification aims to associate the video clips of the same person across multiple non-overlapping cameras.
Ranked #1 on Person Re-Identification on DukeMTMC-VideoReID
1 code implementation • CVPR 2020 • Shang Gao, Jingya Wang, Huchuan Lu, Zimo Liu
Occluded person re-identification is a challenging task as the appearance varies substantially with various obstacles, especially in the crowd scenario.
no code implementations • WS 2018 • Shang Gao, Arvind Ramanathan, Georgia Tourassi
Recent work in machine translation has demonstrated that self-attention mechanisms can be used in place of recurrent neural networks to increase training speed without sacrificing model accuracy.