VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding

Autor: Abramovich, Ofir, Nayman, Niv, Fogel, Sharon, Lavi, Inbal, Litman, Ron, Tsiper, Shahar, Tichauer, Royee, Appalaraju, Srikar, Mazor, Shai, Manmatha, R.

In recent years, notable advancements have been made in the domain of visual document understanding, with the prevailing architecture comprising a cascade of vision and language models. The text component can either be extracted explicitly with the u

Externí odkaz: http://arxiv.org/abs/2407.12594

Search for a heavy neutral lepton that mixes predominantly with the tau neutrino

Autor: Belle Collaboration, Nayak, M., Dey, S., Soffer, A., Adachi, I., Aihara, H., Said, S. Al, Asner, D. M., Atmacan, H., Ayad, R., Babu, V., Banerjee, Sw., Bauer, M., Behera, P., Belous, K., Bessner, M., Bhardwaj, V., Bhuyan, B., Bilka, T., Biswas, D., Bobrov, A., Bodrov, D., Bračko, M., Branchini, P., Browder, T. E., Budano, A., Campajola, M., Červenkov, D., Chang, M. -C., Cheon, B. G., Cho, H. E., Cho, K., Choi, Y., Choudhury, S., Das, S., De Nardo, G., De Pietro, G., Dhamija, R., Di Capua, F., Dingfelder, J., Doležal, Z., Dong, T. V., Dubey, S., Ecker, P., Epifanov, D., Ferber, T., Fogel, O., Fulsom, B. G., Gaur, V., Giri, A., Goldenzweig, P., Graziani, E., Gudkova, K., Hadjivasiliou, C., Halder, S., Hara, T., Hayasaka, K., Hayashii, H., Hazra, S., Hedges, M. T., Herrmann, D., Hou, W. -S., Hsu, C. -L., Inami, K., Ishikawa, A., Itoh, R., Iwasaki, M., Jacobs, W. W., Jia, S., Jin, Y., Kawasaki, T., Kiesling, C., Kim, C. H., Kim, D. Y., Kinoshita, K., Kodyš, P., Korobov, A., Korpar, S., Križan, P., Krokovny, P., Kuhr, T., Kumar, D., Kumar, R., Kuzmin, A., Kwon, Y. -J., Lai, Y. -T., Lam, T., Lange, J. S., Laurenza, M., Lee, S. C., Li, L. K., Li, Y. B., Gioi, L. Li, Libby, J., Lieret, K., Lin, Y. -R., Liventsev, D., Luo, T., Ma, Y., Masuda, M., Maurya, S. K., Meier, F., Merola, M., Miyabayashi, K., Mizuk, R., Mohanty, G. B., Mussa, R., Nakamura, I., Nakao, M., Natkaniec, Z., Natochii, A., Nayak, L., Nishida, S., Ogawa, S., Ono, H., Oskin, P., Pakhlov, P., Pakhlova, G., Pardi, S., Park, H., Park, J., Park, S. -H., Passeri, A., Patra, S., Paul, S., Pestotnik, R., Piilonen, L. E., Podobnik, T., Prencipe, E., Prim, M. T., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sandilya, S., Santelj, L., Savinov, V., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Sevior, M. E., Shan, W., Sharma, C., Shen, C. P., Shiu, J. -G., Singh, J. B., Sokolov, A., Solovieva, E., Starič, M., Sumihama, M., Takizawa, M., Tanida, K., Tenchini, F., Unno, Y., Uno, S., Ushiroda, Y., Vahsen, S. E., Wang, M. -Z., Watanuki, S., Won, E., Yabsley, B. D., Yan, W., Yin, J. H., Yuan, L., Zhang, Z. P., Zhilich, V., Zhukova, V.

Publikováno v: Phys.Rev.D 109 (2024) 11, L111102

We report a search for a heavy neutral lepton (HNL) that mixes predominantly with $\nu_\tau$. The search utilizes data collected with the Belle detector at the KEKB asymmetric energy $e^+ e^-$ collider. The data sample was collected at and just below

Externí odkaz: http://arxiv.org/abs/2402.02580

Motor learning promotes regionally-specific spindle-slow wave coupled cerebral memory reactivation

Autor: Daniel Baena, Ella Gabitov, Laura B. Ray, Julien Doyon, Stuart M. Fogel

Publikováno v: Communications Biology, Vol 7, Iss 1, Pp 1-13 (2024)

Abstract Sleep is essential for the optimal consolidation of newly acquired memories. This study examines the neurophysiological processes underlying memory consolidation during sleep, via reactivation. Here, we investigated the impact of slow wave -

Externí odkaz: https://doaj.org/article/4bea15a3c81f4cde8fcf2f8f91f57edf

TMS-evoked potentials unveil occipital network involvement in patients diagnosed with Parkinson’s disease within 5 years of inclusion

Autor: Noa Zifman, Ofri Levy-Lamdan, Tal Hiller, Avner Thaler, Iftach Dolev, Anat Mirelman, Hilla Fogel, Mark Hallett, Inbal Maidan

Publikováno v: npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-9 (2024)

Abstract Distinguishing Parkinson’s disease (PD) subgroups may be achieved by observing network responses to external stimuli. We compared TMS-evoked potential (TEP) measures from stimulation of bilateral motor cortex (M1), dorsolateral prefrontal

Externí odkaz: https://doaj.org/article/37c1fe22d16c4bd0bcd446b41a5ab313

Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry

Autor: Yao, Tina, Clair, Nicole St., Miller, Gabriel F., Dorfman, Adam L., Fogel, Mark A., Ghelani, Sunil, Krishnamurthy, Rajesh, Lam, Christopher Z., Robinson, Joshua D., Schidlow, David, Slesnick, Timothy C., Weigand, Justin, Quail, Michael, Rathod, Rahul, Steeden, Jennifer A., Muthurangu, Vivek

Purpose: To develop and evaluate an end-to-end deep learning pipeline for segmentation and analysis of cardiac magnetic resonance images to provide core-lab processing for a multi-centre registry of Fontan patients. Materials and Methods: This retros

Externí odkaz: http://arxiv.org/abs/2303.11676