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Following rapid advancements in text and image generation, research has increasingly shifted towards 3D generation. Unlike the well-established pixel-based representation in images, 3D representations remain diverse and fragmented,…

Controllable image synthesis with user scribbles is a topic of keen interest in the computer vision community. In this paper, for the first time we study the problem of photorealistic image synthesis from incomplete and primitive human…

Computer Vision and Pattern Recognition · Computer Science 2022-08-18 Jaskirat Singh , Liang Zheng , Cameron Smith , Jose Echevarria

The observation that novice users seldom consult online help was made over twenty years ago. This observation still holds nowadays, although online help to the use of software for the general public has greatly improved in usability during…

Human-Computer Interaction · Computer Science 2007-08-31 Antonio Capobianco , Noëlle Carbonell

3D human pose estimation from a single image is a challenging problem, especially for in-the-wild settings due to the lack of 3D annotated data. We propose two anatomically inspired loss functions and use them with a weakly-supervised…

Computer Vision and Pattern Recognition · Computer Science 2018-07-05 Rishabh Dabral , Anurag Mundhada , Uday Kusupati , Safeer Afaque , Abhishek Sharma , Arjun Jain

3D animation is central to modern visual media, yet traditional production pipelines remain labor-intensive, expertise-demanding, and computationally expensive. Recent AIGC-based approaches partially automate asset creation and rigging, but…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Yupeng Zhu , Xiongzhen Zhang , Ye Chen , Bingbing Ni

As humans, we aspire to create media content that is both freely willed and readily controlled. Thanks to the prominent development of generative techniques, we now can easily utilize 2D diffusion methods to synthesize images controlled by…

Graphics · Computer Science 2024-05-15 Wenqi Dong , Bangbang Yang , Lin Ma , Xiao Liu , Liyuan Cui , Hujun Bao , Yuewen Ma , Zhaopeng Cui

This report synthesizes findings from the November 2024 Community Workshop on Practical Reproducibility in HPC, which convened researchers, artifact authors, reviewers, and chairs of reproducibility initiatives to address the critical…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-06 Kate Keahey , Marc Richardson , Rafael Tolosana Calasanz , Sascha Hunold , Jay Lofstead , Tanu Malik , Christian Perez

Highly configurable systems are highly complex systems, with the Linux kernel arguably being one of the most well-known ones. Since 2007, it has been a frequent target of the research community, conducting empirical studies and building…

Software Engineering · Computer Science 2021-01-01 Patrick Franz , Thorsten Berger , Ibrahim Fayaz , Sarah Nadi , Evgeny Groshev

Artificial Intelligence (AI) is increasingly used to analyze large amounts of data in various practices, such as object recognition. We are specifically interested in using AI-powered systems to engage local communities in developing plans…

Artificial Intelligence · Computer Science 2022-04-27 Yen-Chia Hsu , Ting-Hao 'Kenneth' Huang , Himanshu Verma , Andrea Mauri , Illah Nourbakhsh , Alessandro Bozzon

Artificial intelligence (AI) provides considerable opportunities to assist human work. However, one crucial challenge of human-AI collaboration is that many AI algorithms operate in a black-box manner where the way how the AI makes…

Human-Computer Interaction · Computer Science 2024-06-13 Julian Senoner , Simon Schallmoser , Bernhard Kratzwald , Stefan Feuerriegel , Torbjørn Netland

In the task abstraction phase of the visualization design process, including in "design studies", a practitioner maps the observed domain goals to generalizable abstract tasks using visualization theory in order to better understand and…

Human-Computer Interaction · Computer Science 2020-03-04 Aditeya Pandey , Yixuan Zhang , John A. Guerra-Gomez , Andrea G. Parker , Michelle A. Borkin

Federated learning allows multiple clients to collaborate to train high-performance deep learning models while keeping the training data locally. However, when the local data of all clients are not independent and identically distributed…

Machine Learning · Computer Science 2021-09-28 Xutong Mu , Yulong Shen , Ke Cheng , Xueli Geng , Jiaxuan Fu , Tao Zhang , Zhiwei Zhang

Onboarding newcomers is vital for the sustainability of open-source software (OSS) projects. To lower barriers and increase engagement, OSS projects have dedicated experts who provide guidance for newcomers. However, timely responses are…

Software Engineering · Computer Science 2025-05-08 Xin Tan , Xiao Long , Yinghao Zhu , Lin Shi , Xiaoli Lian , Li Zhang

Designing digital artifacts is not a linear, straightforward process. This is particularly true when applying a user-centered design approach, or co-design, with users who are unable to participate in the design process. Although the…

Human-Computer Interaction · Computer Science 2023-10-30 Anna Sigridur Islind , Johan Lundin , Katerina Cerna , Tomas Lindroth , Linda Åkeflo , Gunnar Steineck

Diffusion models have emerged as the best approach for generative modeling of 2D images. Part of their success is due to the possibility of training them on millions if not billions of images with a stable learning objective. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-23 Animesh Karnewar , Andrea Vedaldi , David Novotny , Niloy Mitra

Federated learning (FL) allows multiple clients to collectively train a high-performance global model without sharing their private data. However, the key challenge in federated learning is that the clients have significant statistical…

Machine Learning · Computer Science 2022-03-23 Liang Gao , Huazhu Fu , Li Li , Yingwen Chen , Ming Xu , Cheng-Zhong Xu

Generative AI for the creation of images is becoming a staple in the toolkit of digital artists and visual designers. The interaction with these systems is mediated by \emph{prompting}, a process in which users write a short text to…

Computers and Society · Computer Science 2024-02-20 Maddalena Torricelli , Mauro Martino , Andrea Baronchelli , Luca Maria Aiello

AI tools like ChatGPT and Be-My-AI are increasingly being used by blind individuals. Although prior work has explored their use in some Do-It-Yourself (DIY) tasks by blind individuals, little is known about how they use these tools and the…

Human-Computer Interaction · Computer Science 2026-02-24 Monalika Padma Reddy , Aruna Balasubramanian , Jiawei Zhou , Xiaojun Bi , IV Ramakrishnan , Vikas Ashok

In this study, we tackle the complex task of generating 3D human-object interactions (HOI) from textual descriptions in a zero-shot text-to-3D manner. We identify and address two key challenges: the unsatisfactory outcomes of direct…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Sisi Dai , Wenhao Li , Haowen Sun , Haibin Huang , Chongyang Ma , Hui Huang , Kai Xu , Ruizhen Hu

We propose a one-day transdisciplinary creative workshop in the broad area of HCI focused on multiple opportunities of incorporating participatory design into research and industry practice. This workshop will become a venue to share…