Zobrazeno 1 - 10
of 435
pro vyhledávání: '"Franco MAR"'
Autor:
Bovo, Riccardo, Abreu, Steven, Ahuja, Karan, Gonzalez, Eric J, Cheng, Li-Te, Gonzalez-Franco, Mar
XR devices running chat-bots powered by Large Language Models (LLMs) have tremendous potential as always-on agents that can enable much better productivity scenarios. However, screen based chat-bots do not take advantage of the the full-suite of natu
Externí odkaz:
http://arxiv.org/abs/2408.08158
Autor:
Christensen, Anders, Mojab, Nooshin, Patel, Khushman, Ahuja, Karan, Akata, Zeynep, Winther, Ole, Gonzalez-Franco, Mar, Colaco, Andrea
Spherical or omni-directional images offer an immersive visual format appealing to a wide range of computer vision applications. However, geometric properties of spherical images pose a major challenge for models and metrics designed for ordinary 2D
Externí odkaz:
http://arxiv.org/abs/2407.18207
Autor:
Abreu, Steven, Do, Tiffany D., Ahuja, Karan, Gonzalez, Eric J., Payne, Lee, McDuff, Daniel, Gonzalez-Franco, Mar
Intelligent assistance involves not only understanding but also action. Existing ego-centric video datasets contain rich annotations of the videos, but not of actions that an intelligent assistant could perform in the moment. To address this gap, we
Externí odkaz:
http://arxiv.org/abs/2407.09503
Autor:
Gonzalez-Franco, Mar, Abdlkarim, Diar, Bhatia, Arpit, Macgregor, Stuart, Fotso-Puepi, Jason Alexander, Gonzalez, Eric J, Seifi, Hasti, Di Luca, Massimiliano, Ahuja, Karan
Virtual, Mixed, and Augmented Reality (XR) technologies hold immense potential for transforming productivity beyond PC. Therefore there is a critical need for improved text input solutions for XR. However, achieving efficient text input in these envi
Externí odkaz:
http://arxiv.org/abs/2406.09579
Autor:
Dogan, Mustafa Doga, Gonzalez, Eric J., Ahuja, Karan, Du, Ruofei, Colaço, Andrea, Lee, Johnny, Gonzalez-Franco, Mar, Kim, David
Seamless integration of physical objects as interactive digital entities remains a challenge for spatial computing. This paper explores Artificial Object Intelligence (AOI) in the context of XR, an interaction paradigm that aims to blur the lines bet
Externí odkaz:
http://arxiv.org/abs/2404.13274
Publikováno v:
Frontiers in Virtual Reality 4 (2023)
As consumer adoption of immersive technologies grows, virtual avatars will play a prominent role in the future of social computing. However, as people begin to interact more frequently through virtual avatars, it is important to ensure that the resea
Externí odkaz:
http://arxiv.org/abs/2309.10902
Publikováno v:
Conference on Computer Vision and Pattern Recognition, 2024
Producing quality segmentation masks for images is a fundamental problem in computer vision. Recent research has explored large-scale supervised training to enable zero-shot segmentation on virtually any image style and unsupervised training to enabl
Externí odkaz:
http://arxiv.org/abs/2308.12469
While avatars have grown in popularity in social settings, their use in the workplace is still debatable. We conducted a large-scale survey to evaluate knowledge worker sentiment towards avatars, particularly the effects of realism on their acceptabi
Externí odkaz:
http://arxiv.org/abs/2304.01405
Autor:
Yamagami, Momona, Junuzovic, Sasa, Gonzalez-Franco, Mar, Ofek, Eyal, Cutrell, Edward, Porter, John R., Wilson, Andrew D., Mott, Martez E.
Virtual Reality (VR) applications often require users to perform actions with two hands when performing tasks and interacting with objects in virtual environments. Although bimanual interactions in VR can resemble real-world interactions -- thus incr
Externí odkaz:
http://arxiv.org/abs/2108.12390
HapticBots introduces a novel encountered-type haptic approach for Virtual Reality (VR) based on multiple tabletop-size shape-changing robots. These robots move on a tabletop and change their height and orientation to haptically render various surfac
Externí odkaz:
http://arxiv.org/abs/2108.10829