Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kulits, Peter"'
Inverse graphics -- the task of inverting an image into physical variables that, when rendered, enable reproduction of the observed scene -- is a fundamental challenge in computer vision and graphics. Disentangling an image into its constituent eleme
Externí odkaz:
http://arxiv.org/abs/2404.15228
Our goal is to create a realistic 3D facial avatar with hair and accessories using only a text description. While this challenge has attracted significant recent interest, existing methods either lack realism, produce unrealistic shapes, or do not su
Externí odkaz:
http://arxiv.org/abs/2309.07125
We address the problem of fitting a parametric human body model (SMPL) to point cloud data. Optimization-based methods require careful initialization and are prone to becoming trapped in local optima. Learning-based methods address this but do not ge
Externí odkaz:
http://arxiv.org/abs/2304.10528
Autor:
Forte, Maria-Paola, Kulits, Peter, Huang, Chun-Hao, Choutas, Vasileios, Tzionas, Dimitrios, Kuchenbecker, Katherine J., Black, Michael J.
Sign language (SL) is the primary method of communication for the 70 million Deaf people around the world. Video dictionaries of isolated signs are a core SL learning tool. Replacing these with 3D avatars can aid learning and enable AR/VR application
Externí odkaz:
http://arxiv.org/abs/2304.10482
Autor:
Kay, Justin, Kulits, Peter, Stathatos, Suzanne, Deng, Siqi, Young, Erik, Beery, Sara, Van Horn, Grant, Perona, Pietro
We present the Caltech Fish Counting Dataset (CFC), a large-scale dataset for detecting, tracking, and counting fish in sonar videos. We identify sonar videos as a rich source of data for advancing low signal-to-noise computer vision applications and
Externí odkaz:
http://arxiv.org/abs/2207.09295
African elephants are vital to their ecosystems, but their populations are threatened by a rise in human-elephant conflict and poaching. Monitoring population dynamics is essential in conservation efforts; however, tracking elephants is a difficult t
Externí odkaz:
http://arxiv.org/abs/2106.15083
Autor:
Gao, Angela F., Rasmussen, Brandon, Kulits, Peter, Scheller, Eva L., Greenberger, Rebecca, Ehlmann, Bethany L.
The application of infrared hyperspectral imagery to geological problems is becoming more popular as data become more accessible and cost-effective. Clustering and classifying spectrally similar materials is often a first step in applications ranging
Externí odkaz:
http://arxiv.org/abs/2106.13315