Explanipedia

Multimorbidity management and systemic reform: constructing a Chinese paradigm of geriatrics — An interview with Professor Cuntai Zhang, Chairman of the Geriatrics Branch of the Chinese Medical Association Open

Wen Gao, Guobing Chen · 2025

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam Open

Hanyang Peng, Shuang Qin, Yue Yu, Feng Jiang, Hui Wang , et al. · 2025

Adam has proven remarkable successful in training deep neural networks, but the mechanisms underlying its empirical successes and limitations remain underexplored. In this study, we demonstrate that the effectiveness of Adam stems largely …

TinySplat: Feedforward Approach for Generating Compact 3D Scene Representation Open

Zetian Song, Jiaye Fu, Jiaqi Zhang, Xiaohan Lu, Chuanmin Jia , et al. · 2025

The recent development of feedforward 3D Gaussian Splatting (3DGS) presents a new paradigm to reconstruct 3D scenes. Using neural networks trained on large-scale multi-view datasets, it can directly infer 3DGS representations from sparse i…

Lightweighting of kiwifruit root soil water content inversion model based on novel vegetation indices Open

Wen Gao, Zhiqiang Gao, Zijie Niu, Peter A. Roussos, Nikolaos Sygrimis , et al. · 2025

CALLIC: Content Adaptive Learning for Lossless Image Compression Open

Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu , et al. · 2025

Learned lossless image compression has achieved significant advancements in recent years. However, existing methods often rely on training amortized generative models on massive datasets, resulting in sub-optimal probability distribution e…

A Joint Visual Compression and Perception Framework for Neuralmorphic Spiking Camera Open

Kexiang Feng, Chuanmin Jia, Siwei Ma, Wen Gao · 2025

The advent of neuralmorphic spike cameras has garnered significant attention for their ability to capture continuous motion with unparalleled temporal resolution.However, this imaging attribute necessitates considerable resources for binar…

Predicting Satisfied User and Machine Ratio for Compressed Images: A Unified Approach Open

Qi Zhang, Shanshe Wang, Xinfeng Zhang, Siwei Ma, Jingshan Pan , et al. · 2024

Nowadays, high-quality images are pursued by both humans for better viewing experience and by machines for more accurate visual analysis. However, images are usually compressed before being consumed, decreasing their quality. It is meaning…

CALLIC: Content Adaptive Learning for Lossless Image Compression Open

Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu , et al. · 2024

Learned lossless image compression has achieved significant advancements in recent years. However, existing methods often rely on training amortized generative models on massive datasets, resulting in sub-optimal probability distribution e…

MGMNet: Mutual-Guidance Mechanism for Joint Classification of Multisource Remote Sensing Data Open

Wei Zhang, Weiwei Song, Jie Wang, Wen Gao · 2024

The joint classification of multisource remote sensing data has shown significant potential in the precise interpretation of land cover. Existing methods mainly employ a dual-stream architecture to independently extract features, subsequen…

Rethinking Bjøntegaard Delta for Compression Efficiency Evaluation: Are We Calculating It Precisely and Reliably? Open

Xiyi Hang, Shenpeng Song, Zhimeng Huang, Chuanmin Jia, Siwei Ma , et al. · 2024

For decades, the Bjøntegaard Delta (BD) has been the metric for evaluating codec Rate-Distortion (R-D) performance. Yet, in most studies, BD is determined using just 4-5 R-D data points, could this be sufficient? As codecs and quality metr…

MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion Open

Jiapu Wang, Boyue Wang, Junbin Gao, Shirui Pan, Tengfei Liu , et al. · 2024

Temporal knowledge graphs (TKGs) are receiving increased attention due to their time-dependent properties and the evolving nature of knowledge over time. TKGs typically contain complex geometric structures, such as hierarchical, ring, and …

GroupedMixer: An Entropy Model With Group-Wise Token-Mixers for Learned Image Compression Open

Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu , et al. · 2024

Transformer-based entropy models have gained prominence in recent years due\nto their superior ability to capture long-range dependencies in probability\ndistribution estimation compared to convolution-based methods. However,\nprevious tra…

An Improved Coppersmith Algorithm Based on Block Preprocessing Open

Lu Zhang, Baodong Qin, Wen Gao, Yiyuan Luo · 2024

Since Coppersmith proposed the use of the LLL algorithm to solve univariate modular polynomial equations at EUROCRYPT’96, it has sparked a fervent research interest in lattice analysis among cryptographers. Despite its polynomial-time natu…

Understanding the Wettability and Solubility Properties of Ticx-Steel Systems Open

Wen Gao, Yang Zhou, Songze Wu, Wenqing Wei, Chunpeng Zhang · 2024

Peptide generative design with weakly order-dependent autoregressive language model and lifelong learning Open

Zhiwei Nie, Daixi Li, Jie Chen, Fan Xu, Yutian Liu , et al. · 2024

Bioactive peptides have become strong candidates for a variety of clinical therapies due to their diverse advantages, which promotes the development of deep generative models for peptide design. Considering that existing methods cannot eff…

Faster Person Re-Identification: One-Shot-Filter and Coarse-to-Fine Search Open

Guan’an Wang, Xiaowen Huang, Shaogang Gong, Jian Zhang, Wen Gao · 2023

Fast person re-identification (ReID) aims to search person images quickly and accurately. The main idea of recent fast ReID methods is the hashing algorithm, which learns compact binary codes and performs fast Hamming distance and counting…

E2VD: a unified evolution-driven framework for virus variation drivers prediction Open

Zhiwei Nie, Xudong Liu, Jie Chen, Zhennan Wang, Yutian Liu , et al. · 2023

The increasing frequency of emerging viral infections necessitates a rapid human response, highlighting the cost-effectiveness of computational methods. However, existing computational approaches are limited by their input forms or incompl…

Lightweight super resolution network for point cloud geometry compression Open

Wei Zhang, Dingquan Li, Ge Li, Wen Gao · 2023

This paper presents an approach for compressing point cloud geometry by leveraging a lightweight super-resolution network. The proposed method involves decomposing a point cloud into a base point cloud and the interpolation patterns for re…

MPAI-EEV: Standardization Efforts of Artificial Intelligence based End-to-End Video Coding Open

Chuanmin Jia, Feng Ye, Fanke Dong, Kai Lin, Leonardo Chiariglione , et al. · 2023

The rapid advancement of artificial intelligence (AI) technology has led to the prioritization of standardizing the processing, coding, and transmission of video using neural networks. To address this priority area, the Moving Picture, Aud…

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects Open

Jiapu Wang, Boyue Wang, Meikang Qiu, Shirui Pan, Bo Xiong , et al. · 2023

Temporal characteristics are prominently evident in a substantial volume of knowledge, which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia and industry. However, TKGs often suffer from incompleteness for…

Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey Open

Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiao-Yong Wei , et al. · 2023

With the urgent demand for generalized deep models, many pre-trained big models are proposed, such as bidirectional encoder representations (BERT), vision transformer (ViT), generative pre-trained transformers (GPT), etc. Inspired by the s…

Multiscale Attention Fusion for Depth Map Super-Resolution Generative Adversarial Networks Open

Dan Xu, Xiaopeng Fan, Wen Gao · 2023

Color images have long been used as an important supplementary information to guide the super-resolution of depth maps. However, how to quantitatively measure the guiding effect of color images on depth maps has always been a neglected iss…

Optimum sampling window size and vegetation index selection for low-altitude multispectral estimation of root soil moisture content for Xuxiang Kiwifruit Open

Juntao Deng, Shijia Pan, Mingu Zhou, Wen Gao, Yuncai Yan , et al. · 2023

Early detection of water stress is essential for orchard management; however, existing methods are unable to accurately monitor individual plant water status over large areas, and the shaded nature of kiwifruit orchards further complicates…

Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation Open

Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han , et al. · 2023

In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method with Joint-wise reProjection-based Multi-hypothesis Aggregation (JPMA) is proposed for probabilistic 3D human pose estimation. On the one hand, D3DP generates multiple…

Keynote Speaker: Immersive Video Reality—Technology, Standard and Application Open

Wen Gao · 2023

Due to recent advances and convergence of image processing, broadbandnetwork, XR displaying device, and deep learning, immersivevideo reality has become a topic of great interest in recent years.Compared with traditional 2D video display, …

General Chairs Message Open

Xubo Yang, Kun Zhou, Stephan Lukosch, Tobias Langlotz, Wen Gao , et al. · 2023

It is our great pleasure to welcome you to the 30th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), the premier international conference focused on research in the continuous spectrum of extended reality, including vir…

Experimental Exploration of Multi-dimensional Remote Sensing Technology Applied to Target Aviation Search and Rescue Open

Dong Yao, Chunhui Yan, Hanyu Wang, Lingtong Meng, Yanghao Zheng , et al. · 2023

Optical sensing system is developing from the original intensity image/video sensing mode to multi-dimensional sensing mode, and people pay more and more attention to the spectral characteristics and polarization characteristics of the tar…

Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey Open

Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiaoyong Wei , et al. · 2023

With the urgent demand for generalized deep models, many pre-trained big models are proposed, such as BERT, ViT, GPT, etc. Inspired by the success of these models in single domains (like computer vision and natural language processing), th…

Learning to Compress Unmanned Aerial Vehicle (UAV) Captured Video: Benchmark and Analysis Open

Chuanmin Jia, Feng Ye, Huifang Sun, Siwei Ma, Wen Gao · 2023

During the past decade, the Unmanned-Aerial-Vehicles (UAVs) have attracted increasing attention due to their flexible, extensive, and dynamic space-sensing capabilities. The volume of video captured by UAVs is exponentially growing along w…

Symptomatic and Asymptomatic SARS-CoV-2 Infection and Follow-up of Neutralizing Antibody Levels. Open

Shu Juan Cui, Yi Zhang, Wen Gao, Xiao Li Wang, Peng Yang , et al. · 2022

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