Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Michels, Dominik L."'
Autor:
He, Chengan, Sun, Xin, Shu, Zhixin, Luan, Fujun, Pirk, Sören, Herrera, Jorge Alejandro Amador, Michels, Dominik L., Wang, Tuanfeng Y., Zhang, Meng, Rushmeier, Holly, Zhou, Yi
We present Perm, a learned parametric model of human 3D hair designed to facilitate various hair-related applications. Unlike previous work that jointly models the global hair shape and local strand details, we propose to disentangle them using a PCA
Externí odkaz:
http://arxiv.org/abs/2407.19451
Vision-language contrastive learning frameworks like CLIP enable learning representations from natural language supervision, and provide strong zero-shot classification capabilities. However, due to the nature of the supervisory signal in these parad
Externí odkaz:
http://arxiv.org/abs/2405.14239
We investigate the problem of recovering coefficients in scalar nonlinear ordinary differential equations that can be exactly linearized. This contribution builds upon prior work by Lyakhov, Gerdt, and Michels, which focused on obtaining a linearizab
Externí odkaz:
http://arxiv.org/abs/2404.01798
Autor:
Kałużny, Jacek, Schreckenberg, Yannik, Cyganik, Karol, Annighöfer, Peter, Pirk, Sören, Michels, Dominik L., Cieslak, Mikolaj, Assaad-Gerbert, Farhah, Benes, Bedrich, Pałubicki, Wojciech
We introduce LAESI, a Synthetic Leaf Dataset of 100,000 synthetic leaf images on millimeter paper, each with semantic masks and surface area labels. This dataset provides a resource for leaf morphology analysis primarily aimed at beech and oak leaves
Externí odkaz:
http://arxiv.org/abs/2404.00593
Autor:
Cieslak, Mikolaj, Govindarajan, Umabharathi, Garcia, Alejandro, Chandrashekar, Anuradha, Hädrich, Torsten, Mendoza-Drosik, Aleksander, Michels, Dominik L., Pirk, Sören, Fu, Chia-Chun, Pałubicki, Wojciech
We present a specialized procedural model for generating synthetic agricultural scenes, focusing on soybean crops, along with various weeds. This model is capable of simulating distinct growth stages of these plants, diverse soil conditions, and rand
Externí odkaz:
http://arxiv.org/abs/2403.18351
We introduce the Lennard-Jones layer (LJL) for the equalization of the density of 2D and 3D point clouds through systematically rearranging points without destroying their overall structure (distribution normalization). LJL simulates a dissipative pr
Externí odkaz:
http://arxiv.org/abs/2402.03287
Autor:
Deng, Junchen, Marri, Samhita, Klein, Jonathan, Pałubicki, Wojtek, Pirk, Sören, Chowdhary, Girish, Michels, Dominik L.
Robotic harvesting has the potential to positively impact agricultural productivity, reduce costs, improve food quality, enhance sustainability, and to address labor shortage. In the rapidly advancing field of agricultural robotics, the necessity of
Externí odkaz:
http://arxiv.org/abs/2402.02570
This paper belongs to a group of work in the intersection of symbolic computation and group analysis aiming for the symbolic analysis of differential equations. The goal is to extract important properties without finding the explicit general solution
Externí odkaz:
http://arxiv.org/abs/2401.17012
Across various scientific and engineering domains, a growing interest in flexible and deployable structures is becoming evident. These structures facilitate seamless transitions between distinct states of shape and find broad applicability ranging fr
Externí odkaz:
http://arxiv.org/abs/2401.14291
Epigraphy increasingly turns to modern artificial intelligence (AI) technologies such as machine learning (ML) for extracting insights from ancient inscriptions. However, scarce labeled data for training ML algorithms severely limits current techniqu
Externí odkaz:
http://arxiv.org/abs/2310.07310