1 code implementation • 20 Sep 2023 • Shengbin Yue, Wei Chen, Siyuan Wang, Bingxuan Li, Chenchen Shen, Shujun Liu, Yuxuan Zhou, Yao Xiao, Song Yun, Xuanjing Huang, Zhongyu Wei
We propose DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provide a wide range of legal services.
no code implementations • 15 Aug 2023 • Wen Zan, Yaopeng Han, Xiaotian Jiang, Yao Xiao, Yang Yang, Dayao Chen, Sheng Chen
At pretraining stage, we propose an effective pretraining method that employs both query and multiple fields of document as inputs, including an effective information compression method for lengthy fields.
no code implementations • 4 Jul 2023 • Zhen Zhu, Weijie Lyu, Yao Xiao, Derek Hoiem
We introduce a method for flexible continual learning in open-vocabulary image classification, drawing inspiration from the complementary learning systems observed in human cognition.
1 code implementation • CVPR 2023 • Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, Liang Lin
In this paper, based on causal analysis of the aforementioned problems, we propose a novel fine-tuning method, which uses masked images as counterfactual samples that help improve the robustness of the fine-tuning model.
no code implementations • 28 Feb 2023 • Yao Xiao, Anne Gelb, Guohui Song
This paper introduces a new sparse Bayesian learning (SBL) algorithm that jointly recovers a temporal sequence of edge maps from noisy and under-sampled Fourier data.
no code implementations • 11 Jan 2023 • Yao Xiao, Ji Xu, Jing Yang, Shaobo Li
Graph Convolutional Networks (GCNs) have been proved successful in the field of semi-supervised node classification by extracting structural information from graph data.
1 code implementation • 17 Aug 2022 • Ji Xu, Gang Ren, Yao Xiao, Shaobo Li, Guoyin Wang
Optimal leading forest (OLF) has been observed to have the advantage of revealing the difference evolution along a path within a subtree.
1 code implementation • 19 Jul 2022 • Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti
We use human experiments to confirm that both HVE and humans predominantly use some specific features to support the classification of specific classes (e. g., texture is the dominant feature to distinguish a zebra from other quadrupeds, both for humans and HVE).
no code implementations • 7 Jul 2022 • Yue Cao, Xiaojiang Zhou, Peihao Huang, Yao Xiao, Dayao Chen, Sheng Chen
In this paper, we focus on the information transfer from ranking to pre-ranking stage.
no code implementations • 5 Jul 2022 • Ke Xu, Yao Xiao, Zhaoheng Zheng, Kaijie Cai, Ram Nevatia
Despite the diversity in attack patterns, adversarial patches tend to be highly textured and different in appearance from natural images.
no code implementations • 25 Jun 2022 • Yao Xiao, Jan Glaubitz
We specifically consider the case where each data set is missing vital information, which prevents the accurate recovery of the individual images.
no code implementations • 24 May 2022 • Yao Xiao, Carlos Cardenas, Dong Joo Rhee, Tucker Netherton, Lifei Zhang, Callistus Nguyen, Raphael Douglas, Raymond Mumme, Stephen Skett, Tina Patel, Chris Trauernicht, Caroline Chung, Hannah Simonds, Ajay Aggarwal, Laurence Court
In this work, we developed and evaluated a novel pipeline consisting of two landmark-based field aperture generation approaches for WBRT treatment planning; they are fully automated and customizable.
1 code implementation • 20 May 2022 • Yue Cao, Xiaojiang Zhou, Jiaqi Feng, Peihao Huang, Yao Xiao, Dayao Chen, Sheng Chen
However, the retrieval-based methods are sub-optimal and would cause more or less information losses, and it's difficult to balance the effectiveness and efficiency of the retrieval algorithm.
no code implementations • 19 May 2022 • Xiang Li, Xiaojiang Zhou, Yao Xiao, Peihao Huang, Dayao Chen, Sheng Chen, Yunsen Xian
Industrial search and recommendation systems mostly follow the classic multi-stage information retrieval paradigm: matching, pre-ranking, ranking, and re-ranking stages.
no code implementations • 25 Apr 2022 • Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore Willke, Shahin Nazarian, Paul Bogdan
To enable heterogeneous computing systems with autonomous programming and optimization capabilities, we propose a unified, end-to-end, programmable graph representation learning (PGL) framework that is capable of mining the complexity of high-level programs down to the universal intermediate representation, extracting the specific computational patterns and predicting which code segments would run best on a specific core in heterogeneous hardware platforms.
no code implementations • 6 Dec 2021 • Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang, Laurent Itti
(2) They lack convexity constraints, which is important for meaningfully manipulating specific attributes for downstream tasks.
no code implementations • 29 Sep 2021 • Yunhao Ge, Yao Xiao, Zhi Xu, Linwei Li, Ziyan Wu, Laurent Itti
Take image classification as an example, HNI visualizes the reasoning logic of a NN with class-specific Structural Concept Graphs (c-SCG), which are human-interpretable.
1 code implementation • 14 Sep 2021 • Bing He, Yao Xiao, Haodong Liang, Qianhui Huang, Yuheng Du, Yijun Li, David Garmire, Duxin Sun, Lana X. Garmire
Intercellular heterogeneity is a major obstacle to successful precision medicine.
1 code implementation • 11 Sep 2021 • Guoshun Nan, Guoqing Luo, Sicong Leng, Yao Xiao, Wei Lu
Dialogue-based relation extraction (DiaRE) aims to detect the structural information from unstructured utterances in dialogues.
1 code implementation • CVPR 2021 • Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu
2) Meanwhile, we introduce a dual contrastive learning approach (DCL) to better align the text and video by maximizing the mutual information (MI) between query and video clips, and the MI between start/end frames of a target moment and the others within a video to learn more informative visual representations.
no code implementations • 21 May 2021 • Leilei Cao, Yao Xiao, Lin Xu
Modern face detectors employ feature pyramids to deal with scale variation.
no code implementations • CVPR 2021 • Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu
Despite substantial progress in applying neural networks (NN) to a wide variety of areas, they still largely suffer from a lack of transparency and interpretability.
no code implementations • 1 Jan 2021 • Yunhao Ge, Gan Xin, Zhi Xu, Yao Xiao, Yunkui Pang, Yining HE, Laurent Itti
DEAE can become a generative model and synthesis semantic controllable samples by interpolating latent code, which can even synthesis novel attribute value never is shown in the original dataset.
no code implementations • 27 Nov 2020 • Lyujie Chen, Xiaming Yuan, Yao Xiao, Yiding Zhang, Jihong Zhu
We have conducted extensive autonomous landing experiments in a variety of familiar or completely unknown environments, verifying that our model can adaptively balance the accuracy and speed, and the UAV can robustly select a safe landing site.
no code implementations • 15 Nov 2020 • Yao Xiao, Yijun Zhao
We trained our model using the publicly available UTKFace dataset and evaluated our model by simulating up to 100 years of aging on 1, 156 male and 1, 207 female infant and toddler face photos.
no code implementations • 21 Oct 2020 • Jianhui Ning, Yao Xiao, Zikang Xiong
The computation burden of the new method is much lighter, and the points clustering is also avoided.
no code implementations • 9 Oct 2020 • Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
High-level applications, such as machine learning, are evolving from simple models based on multilayer perceptrons for simple image recognition to much deeper and more complex neural networks for self-driving vehicle control systems. The rapid increase in the consumption of memory and computational resources by these models demands the use of multi-core parallel systems to scale the execution of the complex emerging applications that depend on them.
no code implementations • 12 Oct 2019 • Yao Xiao, Dan Meng, Cewu Lu, Chi-Keung Tang
The long-standing challenges for offline handwritten Chinese character recognition (HCCR) are twofold: Chinese characters can be very diverse and complicated while similarly looking, and cursive handwriting (due to increased writing speed and infrequent pen lifting) makes strokes and even characters connected together in a flowing manner.
no code implementations • 29 May 2019 • Yao Xiao
Computer vision is developing rapidly with the support of deep learning techniques.
no code implementations • 30 Oct 2017 • Yuan Zeng, Kevin Devincentis, Yao Xiao, Zubayer Ibne Ferdous, Xiaochen Guo, Zhiyuan Yan, Yevgeny Berdichevsky
Neural networks have shown great potential in many applications like speech recognition, drug discovery, image classification, and object detection.
no code implementations • CVPR 2015 • Yao Xiao, Cewu Lu, Efstratios Tsougenis, Yongyi Lu, Chi-Keung Tang
Distance metric plays a key role in grouping superpixels to produce object proposals for object detection.
no code implementations • 22 Sep 2014 • Cewu Lu, Hao Chen, Qifeng Chen, Hei Law, Yao Xiao, Chi-Keung Tang
We participated in the object detection track of ILSVRC 2014 and received the fourth place among the 38 teams.
no code implementations • CVPR 2014 • Yao Xiao, Efstratios Tsougenis, Chi-Keung Tang
We present the first automatic method to remove shadows from single RGB-D images.