Zobrazeno 1 - 10
of 1 094
pro vyhledávání: '"P. A. Kienzle"'
Autor:
D. Sarenac, G. Gorbet, Charles W. Clark, D. G. Cory, H. Ekinci, M. E. Henderson, M. G. Huber, D. S. Hussey, C. Kapahi, P. A. Kienzle, Y. Kim, A. M. Long, J. D. Parker, T. Shinohara, F. Song, D. A. Pushin
Publikováno v:
Physical Review Research, Vol 6, Iss 3, p L032054 (2024)
Neutron interferometry has played a distinctive role in fundamental science and characterization of materials. Moiré neutron interferometers are candidate next-generation instruments: they offer microscopy-like magnification of the signal, enabling
Externí odkaz:
https://doaj.org/article/5a764b7e9e4e49b2870df25ffb32317c
The basic body shape of a person does not change within a single video. However, most SOTA human mesh estimation (HME) models output a slightly different body shape for each video frame, which results in inconsistent body shapes for the same person.
Externí odkaz:
http://arxiv.org/abs/2409.17671
In this paper we introduce a new dataset containing instance segmentation masks for ten different categories of winter sports equipment, called WSESeg (Winter Sports Equipment Segmentation). Furthermore, we carry out interactive segmentation experime
Externí odkaz:
http://arxiv.org/abs/2407.09288
In panoptic scene graph generation (PSGG), models retrieve interactions between objects in an image which are grounded by panoptic segmentation masks. Previous evaluations on panoptic scene graphs have been subject to an erroneous evaluation protocol
Externí odkaz:
http://arxiv.org/abs/2407.09216
In this work, we analyze the applicability of Inverse Dynamic Game (IDG) methods based on the Minimum Principle (MP). The IDG method determines unknown cost functions in a single- or multi-agent setting from observed system trajectories by minimizing
Externí odkaz:
http://arxiv.org/abs/2402.03157
Autor:
Sarenac, D., Gorbet, G., Clark, Charles W., Cory, D. G., Ekinci, H., Henderson, M. E., Huber, M. G., Hussey, D., Kapahi, C., Kienzle, P. A., Kim, Y., Long, M. A., Parker, J. D., Shinohara, T., Song, F., Pushin, D. A.
Neutron interferometry has played a distinctive role in fundamental science and characterization of materials. Moir\'e neutron interferometers are candidate next-generation instruments: they offer microscopy-like magnification of the signal, enabling
Externí odkaz:
http://arxiv.org/abs/2311.02261
Current scene graph datasets suffer from strong long-tail distributions of their predicate classes. Due to a very low number of some predicate classes in the test sets, no reliable metrics can be retrieved for the rarest classes. We construct a new p
Externí odkaz:
http://arxiv.org/abs/2309.02286
Autor:
Sarenac, D., Gorbet, G., Kapahi, C., Clark, Charles W., Cory, D. G., Ekinci, H., Fangzhou, S., Henderson, M. E., Huber, M. G., Hussey, D., Kienzle, P. A., Serrat, R., Parker, J. D., Shinohara, T., Pushin, D. A.
Phase-grating moire interferometers (PGMIs) have emerged as promising candidates for the next generation of neutron interferometry, enabling the use of a polychromatic beam and manifesting interference patterns that can be directly imaged by existing
Externí odkaz:
http://arxiv.org/abs/2309.01787
Autor:
Boulogne, Luuk H., Lorenz, Julian, Kienzle, Daniel, Schon, Robin, Ludwig, Katja, Lienhart, Rainer, Jegou, Simon, Li, Guang, Chen, Cong, Wang, Qi, Shi, Derik, Maniparambil, Mayug, Muller, Dominik, Mertes, Silvan, Schroter, Niklas, Hellmann, Fabio, Elia, Miriam, Dirks, Ine, Bossa, Matias Nicolas, Berenguer, Abel Diaz, Mukherjee, Tanmoy, Vandemeulebroucke, Jef, Sahli, Hichem, Deligiannis, Nikos, Gonidakis, Panagiotis, Huynh, Ngoc Dung, Razzak, Imran, Bouadjenek, Reda, Verdicchio, Mario, Borrelli, Pasquale, Aiello, Marco, Meakin, James A., Lemm, Alexander, Russ, Christoph, Ionasec, Razvan, Paragios, Nikos, van Ginneken, Bram, Dubois, Marie-Pierre Revel
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Public access to the training methodology for these solutions remains abse
Externí odkaz:
http://arxiv.org/abs/2306.10484
Analyses based on the body posture are crucial for top-class athletes in many sports disciplines. If at all, coaches label only the most important keypoints, since manual annotations are very costly. This paper proposes a method to detect arbitrary k
Externí odkaz:
http://arxiv.org/abs/2211.09446