no code implementations • EACL (DravidianLangTech) 2021 • Shi Chen, Bing Kong
Based on the features of the data set code mixture, we use multilingual BERT and TextCNN for semantic extraction and text classification.
no code implementations • EACL (LTEDI) 2021 • Shi Chen, Bing Kong
This paper mainly introduces the relevant content of the task “Hope Speech Detection for Equality, Diversity, and Inclusion at LT-EDI 2021-EACL 2021”.
no code implementations • 30 Apr 2024 • Xingyu Song, Zhan Li, Shi Chen, Kazuyuki Demachi
3D human pose estimation is a vital task in computer vision, involving the prediction of human joint positions from images or videos to reconstruct a skeleton of a human in three-dimensional space.
no code implementations • 10 Apr 2024 • Xingyu Song, Zhan Li, Shi Chen, Xin-Qiang Cai, Kazuyuki Demachi
Action recognition, an essential component of computer vision, plays a pivotal role in multiple applications.
no code implementations • 24 Jan 2024 • Xingyu Song, Zhan Li, Shi Chen, Kazuyuki Demachi
Current datasets for action recognition tasks face limitations stemming from traditional collection and generation methods, including the constrained range of action classes, absence of multi-viewpoint recordings, limited diversity, poor video quality, and labor-intensive manually collection.
1 code implementation • 10 Jan 2024 • Sixu Li, Shi Chen, Qin Li
In particular, it has been shown that SGMs can generate samples from a distribution that is close to the ground-truth if the underlying score function is learned well, suggesting the success of SGM as a generative model.
no code implementations • 4 Jan 2024 • Yi Zhou, Zhouchen Deng, Shi Chen, Yiwei Qiu, Tianlei Zang, Buxiang Zhou
In a phase-locked loop (PLL) synchronized inverter, due to the strong nonlinear coupling between the PLL's parame-ters and the operation power angle, the equivalent damping coefficient will quickly deteriorate while the power angle is close to 90{\deg} under an ultra-weak grid, which causes the synchronous instability.
1 code implementation • 29 Nov 2023 • Shi Chen, Lefei Zhang, Liangpei Zhang
The prevailing transformer-based methods have not adequately captured the long-range dependencies in both spectral and spatial dimensions.
1 code implementation • NeurIPS 2023 • Shi Chen, Ming Jiang, Qi Zhao
In recent years, deep saliency models have made significant progress in predicting human visual attention.
no code implementations • 6 Oct 2023 • Shi Chen, Qin Li, Oliver Tse, Stephen J. Wright
Most research has focused on optimization over Euclidean spaces, but given the need to optimize over spaces of probability measures in many machine learning problems, it is of interest to investigate accelerated gradient methods in this context too.
1 code implementation • 1 Jul 2023 • Jiarui Wang, Huiyu Duan, Jing Liu, Shi Chen, Xiongkuo Min, Guangtao Zhai
In this paper, in order to get a better understanding of the human visual preferences for AIGIs, a large-scale IQA database for AIGC is established, which is named as AIGCIQA2023.
no code implementations • 3 Jun 2023 • Yewei Xu, Shi Chen, Qin Li, Stephen J. Wright
Does the use of auto-differentiation yield reasonable updates to deep neural networks that represent neural ODEs?
1 code implementation • 27 Mar 2023 • Yiqun Wang, Yuning Shen, Shi Chen, Lihao Wang, Fei Ye, Hao Zhou
In this work, we propose a Harmonic Molecular Representation learning (HMR) framework, which represents a molecule using the Laplace-Beltrami eigenfunctions of its molecular surface.
1 code implementation • CVPR 2023 • Shi Chen, Qi Zhao
They have yet to develop the capability to address novel objects or spurious biases in real-world scenarios, and also fall short of interpreting the rationales behind their decisions.
no code implementations • CVPR 2023 • Shi Chen, Nachiappan Valliappan, Shaolei Shen, Xinyu Ye, Kai Kohlhoff, Junfeng He
Our work aims to advance attention research from three distinct perspectives: (1) We present a new model with the flexibility to capture attention patterns of various combinations of users, so that we can adaptively predict personalized attention, user group attention, and general saliency at the same time with one single model; (2) To augment models with knowledge about the composition of attention from different users, we further propose a principled learning method to understand visual attention in a progressive manner; and (3) We carry out extensive analyses on publicly available saliency datasets to shed light on the roles of visual preferences.
1 code implementation • ICCV 2023 • Yifeng Zhang, Shi Chen, Qi Zhao
Answering visual questions requires the ability to parse visual observations and correlate them with a variety of knowledge.
no code implementations • 23 Oct 2022 • Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang
Supply chain management (SCM) has been recognized as an important discipline with applications to many industries, where the two-echelon stochastic inventory model, involving one downstream retailer and one upstream supplier, plays a fundamental role for developing firms' SCM strategies.
2 code implementations • 11 May 2022 • Yawei Li, Kai Zhang, Radu Timofte, Luc van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu1, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, YuFei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang
The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.
1 code implementation • 20 Apr 2022 • Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao
In this work, we propose an Attention with Reasoning capability (AiR) framework that uses attention to understand and improve the process leading to task outcomes.
1 code implementation • CVPR 2022 • Shi Chen, Qi Zhao
Finally, with our new data and method, we perform extensive analyses to study the effectiveness of our explanation under different settings, including multi-task learning and transfer learning.
Ranked #2 on Explanatory Visual Question Answering on GQA-REX
1 code implementation • CVPR 2022 • Jinhui Yang, Xianyu Chen, Ming Jiang, Shi Chen, Louis Wang, Qi Zhao
With an overarching goal of developing intelligent systems to assist humans in various daily activities, we propose VisualHow, a free-form and open-ended research that focuses on understanding a real-life problem and deriving its solution by incorporating key components across multiple modalities.
1 code implementation • 28 Nov 2021 • Akihiro Nakano, Shi Chen, Kazuyuki Demachi
We theoretically prove that both losses help the model learn more efficiently and that cross-task consistency loss is better in terms of alignment with the straight-forward predictions.
no code implementations • 6 Oct 2021 • Zhiyan Ding, Shi Chen, Qin Li, Stephen Wright
Finding the optimal configuration of parameters in ResNet is a nonconvex minimization problem, but first-order methods nevertheless find the global optimum in the overparameterized regime.
no code implementations • 30 May 2021 • Zhiyan Ding, Shi Chen, Qin Li, Stephen Wright
Finding parameters in a deep neural network (NN) that fit training data is a nonconvex optimization problem, but a basic first-order optimization method (gradient descent) finds a global optimizer with perfect fit (zero-loss) in many practical situations.
no code implementations • 16 Feb 2021 • Mengzhi Wu, Qian Liu, Ping Li, Shi Chen, Binlong Wang, Wenhan Shen, Shiping Chen, Yangheng Zheng, Yigang Xie, Jin Li
The IBF and the transparent rate of electrons are two essential indicators of TPC, which affect the energy resolution and counting rate respectively.
Instrumentation and Detectors High Energy Physics - Experiment
no code implementations • 25 Sep 2020 • Shi Chen, Cathy Yi-Hsuan Chen, Wolfgang Karl Härdle
Here we provide a first econometric analysis of the CRIX family within a time-series framework.
no code implementations • 21 Sep 2020 • Shi Chen, Wolfgang Karl Härdle, Brenda López Cabrera
The network analysis of the full German power derivative market helps us to complement a full picture of system risk, and have a better understanding of the German power market functioning and environment.
1 code implementation • ECCV 2020 • Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao
In this work, we propose an Attention with Reasoning capability (AiR) framework that uses attention to understand and improve the process leading to task outcomes.
no code implementations • 13 May 2020 • Forrest Sheng Bao, Youbiao He, Jie Liu, Yuanfang Chen, Qian Li, Christina R. Zhang, Lei Han, Baoli Zhu, Yaorong Ge, Shi Chen, Ming Xu, Liu Ouyang
The COVID-19 is sweeping the world with deadly consequences.
no code implementations • 12 Feb 2020 • Shi Chen, Qin Li, Xu Yang
The varying-mass Schr\"odinger equation (VMSE) has been successfully applied to model electronic properties of semiconductor hetero-structures, for example, quantum dots and quantum wells.
Numerical Analysis Numerical Analysis
no code implementations • ICCV 2019 • Shi Chen, Qi Zhao
Photo-taking reveals attentional preference of subjects, differentiating people with ASD from healthy people, and is also easy to implement in real-world clinical settings without requiring advanced diagnostic instruments.
no code implementations • ECCV 2018 • Shi Chen, Qi Zhao
Visual attention has shown usefulness in image captioning, with the goal of enabling a caption model to selectively focus on regions of interest.