Zobrazeno 1 - 10
of 531
pro vyhledávání: '"P. A. Lohit"'
Autor:
Ma, Fang, Zhang, Ju, Tankelevitch, Lev, Panda, Payod, Asadi, Torang, Hewitt, Charlie, Petikam, Lohit, Gillies, Marco, Pan, Xueni, Rintel, Sean, Wilczkowiak, Marta
Avatars are edging into mainstream videoconferencing, but evaluation of how avatar animation modalities contribute to work meeting outcomes has been limited. We report a within-group videoconferencing experiment in which 68 employees of a global tech
Externí odkaz:
http://arxiv.org/abs/2412.13265
Autor:
Singh, Simranjeet, Kumar, Amit, Chemban, Fayyaz Pocker, Fernandes, Vikrant, Penubaku, Lohit, Arya, Kavi
Navigating unmanned aerial vehicles in environments where GPS signals are unavailable poses a compelling and intricate challenge. This challenge is further heightened when dealing with Nano Aerial Vehicles (NAVs) due to their compact size, payload re
Externí odkaz:
http://arxiv.org/abs/2412.08757
Eyelid shape is integral to identity and likeness in human facial modeling. Human eyelids are diverse in appearance with varied skin fold and epicanthal fold morphology between individuals. Existing parametric face models express eyelid shape variati
Externí odkaz:
http://arxiv.org/abs/2410.13760
Autor:
Hewitt, Charlie, Saleh, Fatemeh, Aliakbarian, Sadegh, Petikam, Lohit, Rezaeifar, Shideh, Florentin, Louis, Hosenie, Zafiirah, Cashman, Thomas J, Valentin, Julien, Cosker, Darren, Baltrusaitis, Tadas
We tackle the problem of highly-accurate, holistic performance capture for the face, body and hands simultaneously. Motion-capture technologies used in film and game production typically focus only on face, body or hand capture independently, involve
Externí odkaz:
http://arxiv.org/abs/2410.11520
Autor:
Cherian, Anoop, Peng, Kuan-Chuan, Lohit, Suhas, Matthiesen, Joanna, Smith, Kevin, Tenenbaum, Joshua B.
Recent years have seen a significant progress in the general-purpose problem solving abilities of large vision and language models (LVLMs), such as ChatGPT, Gemini, etc.; some of these breakthroughs even seem to enable AI models to outperform human a
Externí odkaz:
http://arxiv.org/abs/2406.15736
Gravito-capillary waves at free-surfaces are ubiquitous in several natural and industrial processes involving quiescent liquid pools bounded by cylindrical walls. These waves emanate from the relaxation of initial interface distortions, which often t
Externí odkaz:
http://arxiv.org/abs/2406.05416
Autor:
Esposito, Salvatore, Xu, Qingshan, Kania, Kacper, Hewitt, Charlie, Mariotti, Octave, Petikam, Lohit, Valentin, Julien, Onken, Arno, Mac Aodha, Oisin
We introduce a new generative approach for synthesizing 3D geometry and images from single-view collections. Most existing approaches predict volumetric density to render multi-view consistent images. By employing volumetric rendering using neural ra
Externí odkaz:
http://arxiv.org/abs/2406.04254
Autor:
Liu, Xinhang, Tai, Yu-Wing, Tang, Chi-Keung, Miraldo, Pedro, Lohit, Suhas, Chatterjee, Moitreya
Extensions of Neural Radiance Fields (NeRFs) to model dynamic scenes have enabled their near photo-realistic, free-viewpoint rendering. Although these methods have shown some potential in creating immersive experiences, two drawbacks limit their ubiq
Externí odkaz:
http://arxiv.org/abs/2406.03723
Autor:
Ni, Haomiao, Egger, Bernhard, Lohit, Suhas, Cherian, Anoop, Wang, Ye, Koike-Akino, Toshiaki, Huang, Sharon X., Marks, Tim K.
Text-conditioned image-to-video generation (TI2V) aims to synthesize a realistic video starting from a given image (e.g., a woman's photo) and a text description (e.g., "a woman is drinking water."). Existing TI2V frameworks often require costly trai
Externí odkaz:
http://arxiv.org/abs/2404.16306
LiDAR datasets for autonomous driving exhibit biases in properties such as point cloud density, range, and object dimensions. As a result, object detection networks trained and evaluated in different environments often experience performance degradat
Externí odkaz:
http://arxiv.org/abs/2404.11764