Zobrazeno 1 - 10
of 4 903
pro vyhledávání: '"Brachmann, A."'
Autor:
Krasilnikov, M., Aboulbanine, Z., Adhikari, G., Aftab, N., Asoyan, A., Boonpornprasert, P., Davtyan, H., Georgiev, G., Good, J., Grebinyk, A., Gross, M., Hoffmann, A., Kongmon, E., Li, X. -K., Lueangaramwong, A., Melkumyan, D., Mohanty, S., Niemczyk, R., Oppelt, A., Qian, H., Richard, C., Stephan, F., Vashchenko, G., Weilbach, T., Zhang, X., Tischer, M., Schneidmiller, E., Vagin, P., Yurkov, M., Zapolnova, E., Hillert, W., Brachmann, J. Rossbach A., Holtkamp, N., Nuhn, H. -D.
Advanced experiments using THz pump and X-ray probe pulses at modern free-electron lasers (FELs) like the European X-ray FEL require a frequency-tunable, high-power, narrow-band THz source maintaining the repetition rate and pulse structure of the X-
Externí odkaz:
http://arxiv.org/abs/2405.19152
Autor:
Brachmann, Eric, Wynn, Jamie, Chen, Shuai, Cavallari, Tommaso, Monszpart, Áron, Turmukhambetov, Daniyar, Prisacariu, Victor Adrian
We address the task of estimating camera parameters from a set of images depicting a scene. Popular feature-based structure-from-motion (SfM) tools solve this task by incremental reconstruction: they repeat triangulation of sparse 3D points and regis
Externí odkaz:
http://arxiv.org/abs/2404.14351
Pose regression networks predict the camera pose of a query image relative to a known environment. Within this family of methods, absolute pose regression (APR) has recently shown promising accuracy in the range of a few centimeters in position error
Externí odkaz:
http://arxiv.org/abs/2404.09884
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Given two images, we can estimate the relative camera pose between them by establishing image-to-image correspondences. Usually, correspondences are 2D-to-2D and the pose we estimate is defined only up to scale. Some applications, aiming at instant a
Externí odkaz:
http://arxiv.org/abs/2404.06337
Humans perceive and construct the world as an arrangement of simple parametric models. In particular, we can often describe man-made environments using volumetric primitives such as cuboids or cylinders. Inferring these primitives is important for at
Externí odkaz:
http://arxiv.org/abs/2403.10452
Autor:
Hodan, Tomas, Sundermeyer, Martin, Labbe, Yann, Nguyen, Van Nguyen, Wang, Gu, Brachmann, Eric, Drost, Bertram, Lepetit, Vincent, Rother, Carsten, Matas, Jiri
We present the evaluation methodology, datasets and results of the BOP Challenge 2023, the fifth in a series of public competitions organized to capture the state of the art in model-based 6D object pose estimation from an RGB/RGB-D image and related
Externí odkaz:
http://arxiv.org/abs/2403.09799
Autor:
Zhang, Hao, Gilevich, Sasha, Miahnahri, Alan, Alverson, Shawn, Brachmann, Axel, Duris, Joseph, Franz, Paris, Fry, Alan, Hirschman, Jack, Larsen, Kirk, Lemons, Randy, Li, Siqi, Lu, Brittany, Marinelli, Agostino, Martinez, Mikael, May, Justin, Milshtein, Erel, Murari, Krishna, Neveu, Nicole, Robinson, Joseph, Schmerge, John, Sun, Linshan, Vecchione, Theodore, Xu, Chengcheng, Zhou, Feng, Carbajo, Sergio
This paper presents a comprehensive technical overview of the Linac Coherent Light Source II (LCLS-II) photoinjector laser system, its first and foremost component. The LCLS-II photoinjector laser system serves as an upgrade to the original LCLS at S
Externí odkaz:
http://arxiv.org/abs/2307.12030
Autor:
Barroso-Laguna, Axel, Brachmann, Eric, Prisacariu, Victor Adrian, Brostow, Gabriel J., Turmukhambetov, Daniyar
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Camera pose estimation for two-view geometry traditionally relies on RANSAC. Normally, a multitude of image correspondences leads to a pool of proposed hypotheses, which are then scored to find a winning model. The inlier count is generally regarded
Externí odkaz:
http://arxiv.org/abs/2306.01596
Learning-based visual relocalizers exhibit leading pose accuracy, but require hours or days of training. Since training needs to happen on each new scene again, long training times make learning-based relocalization impractical for most applications,
Externí odkaz:
http://arxiv.org/abs/2305.14059
Autor:
Sundermeyer, Martin, Hodan, Tomas, Labbe, Yann, Wang, Gu, Brachmann, Eric, Drost, Bertram, Rother, Carsten, Matas, Jiri
We present the evaluation methodology, datasets and results of the BOP Challenge 2022, the fourth in a series of public competitions organized with the goal to capture the status quo in the field of 6D object pose estimation from an RGB/RGB-D image.
Externí odkaz:
http://arxiv.org/abs/2302.13075