Zobrazeno 1 - 10
of 4 438
pro vyhledávání: '"Rupprecht P"'
Autor:
Lakara, Kumud, Sock, Juil, Rupprecht, Christian, Torr, Philip, Collomosse, John, de Witt, Christian Schroeder
One of the most challenging forms of misinformation involves the out-of-context (OOC) use of images paired with misleading text, creating false narratives. Existing AI-driven detection systems lack explainability and require expensive fine-tuning. We
Externí odkaz:
http://arxiv.org/abs/2410.20140
Autor:
Karaev, Nikita, Makarov, Iurii, Wang, Jianyuan, Neverova, Natalia, Vedaldi, Andrea, Rupprecht, Christian
Most state-of-the-art point trackers are trained on synthetic data due to the difficulty of annotating real videos for this task. However, this can result in suboptimal performance due to the statistical gap between synthetic and real videos. In orde
Externí odkaz:
http://arxiv.org/abs/2410.11831
Autor:
Deng, Qianyi, Deb, Oishi, Patel, Amir, Rupprecht, Christian, Torr, Philip, Trigoni, Niki, Markham, Andrew
Animal pose estimation (APE) aims to locate the animal body parts using a diverse array of sensor and modality inputs, which is crucial for research across neuroscience, biomechanics, and veterinary medicine. By evaluating 178 papers since 2013, APE
Externí odkaz:
http://arxiv.org/abs/2410.09312
Reconstructing realistic 3D human models from monocular images has significant applications in creative industries, human-computer interfaces, and healthcare. We base our work on 3D Gaussian Splatting (3DGS), a scene representation composed of a mixt
Externí odkaz:
http://arxiv.org/abs/2409.04196
Open Radio Access Networks (ORAN) is a new architectural approach, having been proposed only a few years ago, and it is an expansion of the current Next Generation Radio Access Networks (NG-RAN) of 5G. ORAN aims to break this closed RAN market that i
Externí odkaz:
http://arxiv.org/abs/2409.01107
Autor:
Ohtani, Go, Tadokoro, Ryu, Yamada, Ryosuke, Asano, Yuki M., Laina, Iro, Rupprecht, Christian, Inoue, Nakamasa, Yokota, Rio, Kataoka, Hirokatsu, Aoki, Yoshimitsu
In this work, we investigate the understudied effect of the training data used for image super-resolution (SR). Most commonly, novel SR methods are developed and benchmarked on common training datasets such as DIV2K and DF2K. However, we investigate
Externí odkaz:
http://arxiv.org/abs/2409.00768
We present Puppet-Master, an interactive video generative model that can serve as a motion prior for part-level dynamics. At test time, given a single image and a sparse set of motion trajectories (i.e., drags), Puppet-Master can synthesize a video d
Externí odkaz:
http://arxiv.org/abs/2408.04631
Autor:
Funke, Lars, Ilchen, Markus, Dingel, Kristina, Mazza, Tommaso, Mullins, Terence, Otto, Thorsten, Rivas, Daniel, Savio, Sara, Serkez, Svitozar, Walter, Peter, Wieland, Niclas, Wülfing, Lasse, Bari, Sadia, Boll, Rebecca, Braune, Markus, Calegari, Francesca, De Fanis, Alberto, Decking, Winfried, Duensing, Andreas, Düsterer, Stefan, Ehresmann, Arno, Erk, Benjamin, de Lima, Danilo Enoque Ferreira, Galler, Andreas, Geloni, Gianluca, Grünert, Jan, Guetg, Marc, Grychtol, Patrik, Hans, Andreas, Held, Arne, Hindriksson, Ruda, Inhester, Ludger, Jahnke, Till, Laksman, Joakim, Larsson, Mats, Liu, Jia, Marangos, Jon P., Marder, Lutz, Meier, David, Meyer, Michael, Mirian, Najmeh, Ott, Christian, Passow, Christopher, Pfeifer, Thomas, Rupprecht, Patrick, Schletter, Albert, Schmidt, Philipp, Scholz, Frank, Schott, Simon, Schneidmiller, Evgeny, Sick, Bernhard, Son, Sang-Kil, Tiedtke, Kai, Usenko, Sergey, Wanie, Vincent, Wurzer, Markus, Yurkov, Mikhail, Zhaunerchyk, Vitali, Helml, Wolfram
Attosecond X-ray pulses are the key to studying electron dynamics at their natural time scale involving specific electronic states. They are promising to build the conceptual bridge between physical and chemical photo-reaction processes. Free-electro
Externí odkaz:
http://arxiv.org/abs/2408.03858
Autor:
Rupprecht, Timothy, Chang, Sung-En, Wu, Yushu, Lu, Lei, Nan, Enfu, Li, Chih-hsiang, Lai, Caiyue, Li, Zhimin, Hu, Zhijun, He, Yumei, Kaeli, David, Wang, Yanzhi
Publikováno v:
2024 Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track. Pages 8780-8783
We present a novel prompting strategy for artificial intelligence driven digital avatars. To better quantify how our prompting strategy affects anthropomorphic features like humor, authenticity, and favorability we present Crowd Vote - an adaptation
Externí odkaz:
http://arxiv.org/abs/2408.04068
Autor:
Ou, Jen-Hao, Hait, Diptarka, Rupprecht, Patrick, Beetar, John E., Martínez, Todd J., Leone, Stephen R.
Publikováno v:
J. Phys. Chem. A 2024, 128, 42, 9208-9217
A coherent vibrational wavepacket is launched and manipulated in the symmetric stretch (a$_1$) mode of CBr$_4$, by impulsive stimulated Raman scattering from non-resonant 400 nm laser pump pulses with various peak intensities on the order of tens of
Externí odkaz:
http://arxiv.org/abs/2408.00696