Zobrazeno 1 - 10
of 2 688
pro vyhledávání: '"Xia, Fei"'
Autor:
Peng, Xingyu, Bai, Yan, Gao, Chen, Yang, Lirong, Xia, Fei, Mu, Beipeng, Wang, Xiaofei, Liu, Si
Open-Vocabulary Detection (OVD) is the task of detecting all interesting objects in a given scene without predefined object classes. Extensive work has been done to deal with the OVD for 2D RGB images, but the exploration of 3D OVD is still limited.
Externí odkaz:
http://arxiv.org/abs/2407.08931
Autor:
Chiang, Hao-Tien Lewis, Xu, Zhuo, Fu, Zipeng, Jacob, Mithun George, Zhang, Tingnan, Lee, Tsang-Wei Edward, Yu, Wenhao, Schenck, Connor, Rendleman, David, Shah, Dhruv, Xia, Fei, Hsu, Jasmine, Hoech, Jonathan, Florence, Pete, Kirmani, Sean, Singh, Sumeet, Sindhwani, Vikas, Parada, Carolina, Finn, Chelsea, Xu, Peng, Levine, Sergey, Tan, Jie
An elusive goal in navigation research is to build an intelligent agent that can understand multimodal instructions including natural language and image, and perform useful navigation. To achieve this, we study a widely useful category of navigation
Externí odkaz:
http://arxiv.org/abs/2407.07775
Over the past decade, optical wavefront shaping has been developed to focus light through highly opaque scattering layers, opening new possibilities for biomedical applications. To probe light intensity deep inside soft scattering media such as biolo
Externí odkaz:
http://arxiv.org/abs/2407.04628
Taxonomies, which organize domain concepts into hierarchical structures, are crucial for building knowledge systems and downstream applications. As domain knowledge evolves, taxonomies need to be continuously updated to include new concepts. Previous
Externí odkaz:
http://arxiv.org/abs/2406.17739
Autor:
Ahn, Michael, Arenas, Montserrat Gonzalez, Bennice, Matthew, Brown, Noah, Chan, Christine, David, Byron, Francis, Anthony, Gonzalez, Gavin, Hessmer, Rainer, Jackson, Tomas, Joshi, Nikhil J, Lam, Daniel, Lee, Tsang-Wei Edward, Luong, Alex, Maddineni, Sharath, Patel, Harsh, Peralta, Jodilyn, Quiambao, Jornell, Reyes, Diego, Ruano, Rosario M Jauregui, Sadigh, Dorsa, Sanketi, Pannag, Takayama, Leila, Vodenski, Pavel, Xia, Fei
Robots today can exploit the rich world knowledge of large language models to chain simple behavioral skills into long-horizon tasks. However, robots often get interrupted during long-horizon tasks due to primitive skill failures and dynamic environm
Externí odkaz:
http://arxiv.org/abs/2405.16021
Far-field super-resolution fluorescence microscopy has been rapidly developed for applications ranging from cell biology to nanomaterials. However, it remains a significant challenge to achieve super-resolution imaging at depth in opaque materials. I
Externí odkaz:
http://arxiv.org/abs/2404.19734
Autor:
Burns, Kaylee, Jain, Ajinkya, Go, Keegan, Xia, Fei, Stark, Michael, Schaal, Stefan, Hausman, Karol
Large Language Models (LLMs) have been successful at generating robot policy code, but so far these results have been limited to high-level tasks that do not require precise movement. It is an open question how well such approaches work for tasks tha
Externí odkaz:
http://arxiv.org/abs/2404.06645
Autor:
Fu, Yujuan, Ramachandran, Giridhar Kaushik, Dobbins, Nicholas J, Park, Namu, Leu, Michael, Rosenberg, Abby R., Lybarger, Kevin, Xia, Fei, Uzuner, Ozlem, Yetisgen, Meliha
Social determinants of health (SDoH) play a critical role in shaping health outcomes, particularly in pediatric populations where interventions can have long-term implications. SDoH are frequently studied in the Electronic Health Record (EHR), which
Externí odkaz:
http://arxiv.org/abs/2404.00826
Autor:
Sathyamoorthy, Adarsh Jagan, Weerakoon, Kasun, Elnoor, Mohamed, Zore, Anuj, Ichter, Brian, Xia, Fei, Tan, Jie, Yu, Wenhao, Manocha, Dinesh
We present ConVOI, a novel method for autonomous robot navigation in real-world indoor and outdoor environments using Vision Language Models (VLMs). We employ VLMs in two ways: first, we leverage their zero-shot image classification capability to ide
Externí odkaz:
http://arxiv.org/abs/2403.15637
Autor:
Xia, Fei, Rimoli, Caio Vaz, Akemann, Walther, Ventalon, Cathie, Bourdieu, Laurent, Gigan, Sylvain, de Aguiar, Hilton B
The intricate nature of the brain necessitates the application of advanced probing techniques to comprehensively study and understand its working mechanisms. Neurophotonics offers minimally invasive methods to probe the brain using optics at cellular
Externí odkaz:
http://arxiv.org/abs/2403.14809