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Humans rely on touch and tactile sensing for a lot of dexterous manipulation tasks. Our tactile sensing provides us with a lot of information regarding contact formations as well as geometric information about objects during any…

Robotics · Computer Science 2023-06-06 Kei Ota , Devesh K. Jha , Hsiao-Yu Tung , Joshua B. Tenenbaum

Creating high-quality materials in computer graphics is a challenging and time-consuming task, which requires great expertise. To simplify this process, we introduce MatFuse, a unified approach that harnesses the generative power of…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 Giuseppe Vecchio , Renato Sortino , Simone Palazzo , Concetto Spampinato

The way we engage with digital spaces and the digital world has undergone rapid changes in recent years, largely due to the emergence of the Metaverse. As technology continues to advance, the demand for sophisticated and immersive…

Human-Computer Interaction · Computer Science 2024-09-04 Senthil Kumar Jagatheesaperumal , Praveen Sathikumar , Harikrishnan Rajan

Haptic displays play an important role in enhancing the sense of presence in VR and telepresence. Displaying the tactile properties of fabrics has potential in the fashion industry, but there are difficulties in dynamically displaying…

Human-Computer Interaction · Computer Science 2024-05-07 Takekazu Kitagishi , Hirotaka Hiraki , Hiromi Nakamura , Yoshio Ishiguro , Jun Rekimoto

Recent video generation models have achieved remarkable progress and are now deployed in film, social media production, and advertising. Beyond their creative potential, such models also hold promise as world simulators for robotics and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 David Romero , Ariana Bermudez , Viacheslav Iablochnikov , Hao Li , Fabio Pizzati , Ivan Laptev

In this paper, we present DesignDiffusion, a simple yet effective framework for the novel task of synthesizing design images from textual descriptions. A primary challenge lies in generating accurate and style-consistent textual and visual…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Zhendong Wang , Jianmin Bao , Shuyang Gu , Dong Chen , Wengang Zhou , Houqiang Li

Modern audio-visual media rely on compact representations for efficient storage and transmission, whereas realistic digital touch still depends on high-resolution tactile recordings. Existing approaches for representing tactile signals…

Human-Computer Interaction · Computer Science 2026-05-25 Jagan K. Balasubramanian , Yasemin Vardar

This paper outlines the development of a wearable game controller incorporating vibrotacticle haptic feedback that provides a low cost, versatile and intuitive interface for controlling digital games. The device differs from many…

Human-Computer Interaction · Computer Science 2016-04-20 Jacques Foottit , Dave Brown , Stefan Marks , Andy M. Connor

Creating a diverse and comprehensive dataset of hand gestures for dynamic human-machine interfaces in the automotive domain can be challenging and time-consuming. To overcome this challenge, we propose using synthetic gesture datasets…

Computer Vision and Pattern Recognition · Computer Science 2024-08-05 Amr Gomaa , Robin Zitt , Guillermo Reyes , Antonio Krüger

This paper investigates how visual texture presentation influences tactile perception when interacting with electrostatic cloth displays. We propose a visuo-haptic system that allows users to pinch and rub virtual fabrics while feeling…

Human-Computer Interaction · Computer Science 2025-11-11 Takekazu Kitagishi , Chun-Wei Ooi , Yuichi Hiroi , Jun Rekimoto

Local climate information is crucial for impact assessment and decision-making, yet coarse global climate simulations cannot capture small-scale phenomena. Current statistical downscaling methods infer these phenomena as temporally…

Machine Learning · Computer Science 2025-09-24 Jonathan Schmidt , Luca Schmidt , Felix Strnad , Nicole Ludwig , Philipp Hennig

We propose a new task, video referring matting, which obtains the alpha matte of a specified instance by inputting a referring caption. We treat the dense prediction task of matting as video generation, leveraging the text-to-video…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Lehan Yang , Jincen Song , Tianlong Wang , Daiqing Qi , Weili Shi , Yuheng Liu , Sheng Li

Accurate simulation of detector responses to hadrons is paramount for all physics programs at the Large Hadron Collider (LHC). Central to this simulation is the modeling of hadronic interactions. Unfortunately, the absence of…

High Energy Physics - Phenomenology · Physics 2023-10-12 Tuan Minh Pham , Xiangyang Ju

Augmented Reality (AR) and Mobile Augmented Reality (MAR) applications have gained much research and industry attention these days. The mobile nature of MAR applications limits users' interaction capabilities such as inputs, and haptic…

Human-Computer Interaction · Computer Science 2017-09-13 Carlos Bermejo , Pan Hui

Mid-air ultrasound haptic technology offers a myriad of temporal and spatial parameters for contactless haptic design. Yet, predicting how these parameters interact to render an ultrasound signal is difficult before testing them on a…

Human-Computer Interaction · Computer Science 2024-05-07 Chungman Lim , Hasti Seifi , Gunhyuk Park

Modern machine learning models for scene understanding, such as depth estimation and object tracking, rely on large, high-quality datasets that mimic real-world deployment scenarios. To address data scarcity, we propose an end-to-end system…

Computer Vision and Pattern Recognition · Computer Science 2025-04-15 Sonia Laguna , Alberto Garcia-Garcia , Marie-Julie Rakotosaona , Stylianos Moschoglou , Leonhard Helminger , Sergio Orts-Escolano

Automating immersive VR scene creation remains a primary research challenge. Existing methods typically rely on complex geometry with post-simplification, resulting in inefficient pipelines or limited realism. In this paper, we introduce…

Graphics · Computer Science 2026-03-25 Jinyan Yuan , Bangbang Yang , Keke Wang , Panwang Pan , Lin Ma , Xuehai Zhang , Xiao Liu , Zhaopeng Cui , Yuewen Ma

In the current era of generative AI breakthroughs, generating panoramic scenes from a single input image remains a key challenge. Most existing methods use diffusion-based iterative or simultaneous multi-view inpainting. However, the lack…

Computer Vision and Pattern Recognition · Computer Science 2024-06-05 Zhipeng Cai , Matthias Mueller , Reiner Birkl , Diana Wofk , Shao-Yen Tseng , JunDa Cheng , Gabriela Ben-Melech Stan , Vasudev Lal , Michael Paulitsch

Recent technological advances popularized the use of image generation among the general public. Crafting effective prompts can, however, be difficult for novice users. To tackle this challenge, we developed PromptMap, a new interaction…

Human-Computer Interaction · Computer Science 2025-04-04 Krzysztof Adamkiewicz , Paweł W. Woźniak , Julia Dominiak , Andrzej Romanowski , Jakob Karolus , Stanislav Frolov

Recent advances in haptic hardware and software technology have generated interest in novel, multimodal interfaces based on the sense of touch. Such interfaces have the potential to revolutionize the way we think about human computer…

Human-Computer Interaction · Computer Science 2019-03-13 Felix G. Hamza-Lup , Adrian Seitan , Costin Petre , Mihai Polceanu , Crenguta M. Bogdan , Dorin M. Popovici