• Revisiting Visualization Evaluation Using EEG and Visualization Literacy Assessment Test 

  Yim, Soobin; Jung, Chanyoung; Yoon, Chanyoung; Yoo, Sangbong; Choi, Seongwon; Jang, Yun (The Eurographics Association, 2023)

  Using EEG signals, also known as Electroencephalogram, can provide a quantitative measure of human cognitive load, making it an effective tool for evaluating visualization. However, the suitability of EEG for visualization ...

• Visualization System for Analyzing Congestion Pricing Policies 

  Choi, SeokHwan; Seo, Seongbum; Yoo, Sangbong; Jang, Yun (The Eurographics Association, 2023)

  Traffic congestion, which increases every year, has a negative impact on environmental pollution and productivity. Congestion pricing policy has been shown to be effective in Singapore, London, and Stockholm as one of the ...

• Color3d: Photorealistic Texture Mapping for 3D Mesh 

  Zhao, Chenxi; Fan, Chuanmao; Mohadikar, Payal; Duan, Ye (The Eurographics Association, 2023)

  3D reconstruction plays a significant role in various fields, including medical imaging, architecture, and forensic science, in both research and industry. The quality of color is one of the criteria that determine ...

• Progressive Graph Matching Network for Correspondences 

  Feng, Huihang; Liu, Lupeng; Xiao, Jun (The Eurographics Association, 2023)

  This paper presents a progressive graph matching network shorted as PGMNet. The method is more explainable and can match features from easy to hard. PGMNet contains two major blocks: sinkformers module and guided attention ...

• Emotion-based Interaction Technique Using User's Voice and Facial Expressions in Virtual and Augmented Reality 

  Ko, Beom-Seok; Kang, Ho-San; Lee, Kyuhong; Braunschweiler, Manuel; Zünd, Fabio; Sumner, Robert W.; Choi, Soo-Mi (The Eurographics Association, 2023)

  This paper presents a novel interaction approach based on a user's emotions within augmented reality (AR) and virtual reality (VR) environments to achieve immersive interaction with virtual intelligent characters. To ...

• Detection of Impurities in Wool Based on Improved YOlOV8 

  Liu, Yang; Ji, Yatu; Ren, Qing Dao Er Ji; Shi, Bao; Zhuang, Xufei; Yao, Miaomiao; Li, Xiaomei (The Eurographics Association, 2023)

  In the current production process of wool products, the cleaning of wool raw materials has been realized in an automated way. However, detecting whether the washed and dried wool still contains excessive impurities still ...

• Combining Transformer and CNN for Super-Resolution of Animal Fiber Microscopy Images 

  Li, Jiagen; Ji, Yatu; Lu, Min; Wang, Li; Dai, Lingjie; Xu, Xuanxuan; Wu, Nier; Liu, Na (The Eurographics Association, 2023)

  The images of cashmere and wool fibers used for scientific research in the textile field are mostly acquired manually under an optical microscope. However, due to the interference of microscope quality, shooting environment, ...

• A Simple Stochastic Regularization Technique for Avoiding Overfitting in Low Resource Image Classification 

  Ji, Ya Tu; Wang, Bai Lun; Ren, Qing Dao Er Ji; Shi, Bao; Wu, Nier E.; Lu, Min; Liu, Na; Zhuang, Xu Fei; Xu, Xuan Xuan; Wang, Li; Dai, Ling Jie; Yao, Miao Miao; Li, Xiao Mei (The Eurographics Association, 2023)

  Drop type technique, as a method that can effectively regulate the co-adaptations and prediction ability of neural network units, is widely used in model parameter optimization to reduce overfitting problems. However, low ...

• Multi-scale Monocular Panorama Depth Estimation 

  Mohadikar, Payal; Fan, Chuanmao; Zhao, Chenxi; Duan, Ye (The Eurographics Association, 2023)

  Panorama images are widely used for scene depth estimation as they provide comprehensive scene representation. The existing deep-learning monocular panorama depth estimation networks produce inconsistent, discontinuous, ...

• Reconstructing Baseball Pitching Motions from Video 

  Kim, Jiwon; Kim, Dongkwon; Yu, Ri (The Eurographics Association, 2023)

  Baseball is one of the most loved sports in the world. In baseball game, the pitcher's control ability is a key factor for determining the outcome of the game. There are a lot of video data shooting baseball games, and ...

• TreeGCN-ED: A Tree-Structured Graph-Based Autoencoder Framework For Point Cloud Processing 

  Singh, Prajwal; Tiwari, Ashish; Sadekar, Kaustubh; Raman, Shanmuganathan (The Eurographics Association, 2023)

  Point cloud is a widely used technique for representing and storing 3D geometric data. Several methods have been proposed for processing point clouds for tasks such as 3D shape classification and clustering. This work ...

• Hand Shadow Art: A Differentiable Rendering Perspective 

  Gangopadhyay, Aalok; Singh, Prajwal; Tiwari, Ashish; Raman, Shanmuganathan (The Eurographics Association, 2023)

  Shadow art is an exciting form of sculptural art that produces captivating artistic effects through the 2D shadows cast by 3D shapes. Hand shadows, also known as shadow puppetry or shadowgraphy, involve creating various ...

• Avatar Emotion Recognition using Non-verbal Communication 

  Bazargani, Jalal Safari; Sadeghi-Niaraki, Abolghasem; Choi, Soo-Mi (The Eurographics Association, 2023)

  Among the sources of information about emotions, body movements, recognized as ''kinesics'' in non-verbal communication, have received limited attention. This research gap suggests the need to investigate suitable body ...

• Sketch-to-Architecture: Generative AI-aided Architectural Design 

  Li, Pengzhi; Li, Baijuan; Li, Zhiheng (The Eurographics Association, 2023)

  Recently, the development of large-scale models has paved the way for various interdisciplinary research, including architecture. By using generative AI, we present a novel workflow that utilizes AI models to generate ...

• Generalizable Dynamic Radiance Fields For Talking Head Synthesis With Few-shot 

  Dang, Rujing; Wang, Shaohui; Wang, Haoqian (The Eurographics Association, 2023)

  Audio-driven talking head generation has wide applications in virtual games, hosts, online meetings, etc. Recently, great achievements have been made in synthesizing talking heads based on neural radiance fields. However, ...

• Text2Mat: Generating Materials from Text 

  He, Zhen; Guo, Jie; Zhang, Yan; Tu, Qinghao; Chen, Mufan; Guo, Yanwen; Wang, Pengyu; Dai, Wei (The Eurographics Association, 2023)

  Specific materials are often associated with a certain type of objects in the real world. They simulate the way the surface of the object interacting with light and are named after that type of object. We observe that the ...

• Local Positional Encoding for Multi-Layer Perceptrons 

  Fujieda, Shin; Yoshimura, Atsushi; Harada, Takahiro (The Eurographics Association, 2023)

  A multi-layer perceptron (MLP) is a type of neural networks which has a long history of research and has been studied actively recently in computer vision and graphics fields. One of the well-known problems of an MLP is ...

• A Style Transfer Network of Local Geometry for 3D Mesh Stylization 

  Kang, Hongyuan; Dong, Xiao; Guo, Xufei; Cao, Juan; Chen, Zhonggui (The Eurographics Association, 2023)

  Style transfer of images develops rapidly, however, only a few studies focus on geometric style transfer on 3D models. In this paper, we propose a style learning network to synthesize local geometric textures with similar ...

• Automatic Vector Caricature via Face Parametrization 

  Madono, Koki; Hold-Geoffroy, Yannick; Li, Yijun; Ito, Daichi; Echevarria, Jose; Smith, Cameron (The Eurographics Association, 2023)

  Automatic caricature generation is a challenging task that aims to emphasize the subject's facial characteristics while preserving its identity. Due to the complexity of the task, caricatures could exclusively be performed ...

• Multi-Stage Degradation and Content Embedding Fusion for Blind Super-Resolution 

  Zhang, Haiyang; Jiang, Mengyu; Liu, Liang (The Eurographics Association, 2023)

  To achieve promising results on blind image super-resolution (SR), some Unsupervised Degradation Prediction (UDP) methods narrow the domain gap between the degradation embedding space and the SR feature space by fusing the ...

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