Search Results for author: Shi Chen

Found 32 papers, 13 papers with code

cs_english@LT-EDI-EACL2021: Hope Speech Detection Based On Fine-tuning ALBERT Model

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”.

Hope Speech Detection

Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-supervised Training

no code implementations30 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.

3D Human Pose Estimation 3D Pose Estimation

GTAutoAct: An Automatic Datasets Generation Framework Based on Game Engine Redevelopment for Action Recognition

no code implementations24 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.

Action Recognition

A Good Score Does not Lead to A Good Generative Model

1 code implementation10 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.

Density Estimation Memorization

A Pure Integral-Type PLL with a Damping Branch to Enhance the Stability of Grid-Tied Inverter under Weak Grids

no code implementations4 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.

Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-Resolution

1 code implementation29 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.

Hyperspectral Image Super-Resolution Image Super-Resolution

What Do Deep Saliency Models Learn about Visual Attention?

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.

Saliency Prediction

Accelerating optimization over the space of probability measures

no code implementations6 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.

AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence

1 code implementation1 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.

Image Quality Assessment Text-to-Image Generation

Correcting auto-differentiation in neural-ODE training

no code implementations3 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?

Learning Harmonic Molecular Representations on Riemannian Manifold

1 code implementation27 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.

Drug Discovery molecular representation +2

Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning

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.

Decision Making Visual Reasoning

Learning From Unique Perspectives: User-Aware Saliency Modeling

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.

No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution

no code implementations23 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.


NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

2 code implementations11 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.

Image Super-Resolution

Attention in Reasoning: Dataset, Analysis, and Modeling

1 code implementation20 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.

Question Answering Visual Question Answering

REX: Reasoning-aware and Grounded Explanation

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.

Decision Making Explanation Generation +4

VisualHow: Multimodal Problem Solving

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.

Cross-Task Consistency Learning Framework for Multi-Task Learning

1 code implementation28 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.

Contrastive Learning Multi-Task Learning

On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime

no code implementations6 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.

Overparameterization of deep ResNet: zero loss and mean-field analysis

no code implementations30 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.

Simulation on the Transparency of Electrons and Ion Back Flow for a Time Projection Chamber based on Staggered Multiple THGEMs

no code implementations16 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

A first econometric analysis of the CRIX family

no code implementations25 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.

Clustering Model Selection +2

Regularization Approach for Network Modeling of German Power Derivative Market

no code implementations21 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.

Variable Selection

AiR: Attention with Reasoning Capability

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.

Classical limit for the varying-mass Schrödinger equation with random inhomogeneities

no code implementations12 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

Attention-Based Autism Spectrum Disorder Screening With Privileged Modality

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.

Boosted Attention: Leveraging Human Attention for Image Captioning

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.

Image Captioning

Cannot find the paper you are looking for? You can Submit a new open access paper.