no code implementations • 23 Apr 2024 • Peter Kulits, Haiwen Feng, Weiyang Liu, Victoria Abrevaya, Michael J. Black
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.
no code implementations • 13 Sep 2023 • Hao Zhang, Yao Feng, Peter Kulits, Yandong Wen, Justus Thies, Michael J. Black
We argue that existing methods are limited because they employ a monolithic modeling approach, using a single representation for the head, face, hair, and accessories.
no code implementations • ICCV 2023 • Haiwen Feng, Peter Kulits, Shichen Liu, Michael J. Black, Victoria Abrevaya
Learning-based methods address this but do not generalize well when the input pose is far from those seen during training.
no code implementations • CVPR 2023 • Maria-Paola Forte, Peter Kulits, Chun-Hao Huang, Vasileios Choutas, Dimitrios Tzionas, Katherine J. Kuchenbecker, Michael J. Black
A perceptual study shows that SGNify's 3D reconstructions are significantly more comprehensible and natural than those of previous methods and are on par with the source videos.
1 code implementation • 19 Jul 2022 • Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant van Horn, Pietro Perona
We present the Caltech Fish Counting Dataset (CFC), a large-scale dataset for detecting, tracking, and counting fish in sonar videos.
no code implementations • 29 Jun 2021 • Peter Kulits, Jake Wall, Anka Bedetti, Michelle Henley, Sara Beery
African elephants are vital to their ecosystems, but their populations are threatened by a rise in human-elephant conflict and poaching.
1 code implementation • 24 Jun 2021 • Angela F. Gao, Brandon Rasmussen, Peter Kulits, Eva L. Scheller, Rebecca Greenberger, Bethany L. Ehlmann
The application of infrared hyperspectral imagery to geological problems is becoming more popular as data become more accessible and cost-effective.