Zobrazeno 1 - 10
of 35
pro vyhledávání: '"BASTANI, FAVYEN"'
Autor:
Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Park, Jae Sung, Salehi, Mohammadreza, Muennighoff, Niklas, Lo, Kyle, Soldaini, Luca, Lu, Jiasen, Anderson, Taira, Bransom, Erin, Ehsani, Kiana, Ngo, Huong, Chen, YenSung, Patel, Ajay, Yatskar, Mark, Callison-Burch, Chris, Head, Andrew, Hendrix, Rose, Bastani, Favyen, VanderBilt, Eli, Lambert, Nathan, Chou, Yvonne, Chheda, Arnavi, Sparks, Jenna, Skjonsberg, Sam, Schmitz, Michael, Sarnat, Aaron, Bischoff, Byron, Walsh, Pete, Newell, Chris, Wolters, Piper, Gupta, Tanmay, Zeng, Kuo-Hao, Borchardt, Jon, Groeneveld, Dirk, Nam, Crystal, Lebrecht, Sophie, Wittlif, Caitlin, Schoenick, Carissa, Michel, Oscar, Krishna, Ranjay, Weihs, Luca, Smith, Noah A., Hajishirzi, Hannaneh, Girshick, Ross, Farhadi, Ali, Kembhavi, Aniruddha
Today's most advanced vision-language models (VLMs) remain proprietary. The strongest open-weight models rely heavily on synthetic data from proprietary VLMs to achieve good performance, effectively distilling these closed VLMs into open ones. As a r
Externí odkaz:
http://arxiv.org/abs/2409.17146
Autor:
Chang, Yi-Chia, Stewart, Adam J., Bastani, Favyen, Wolters, Piper, Kannan, Shreya, Huber, George R., Wang, Jingtong, Banerjee, Arindam
Foundation models pre-trained using self-supervised and weakly-supervised learning have shown powerful transfer learning capabilities on various downstream tasks, including language understanding, text generation, and image recognition. Recently, the
Externí odkaz:
http://arxiv.org/abs/2409.09451
Illegal, unreported, and unregulated (IUU) fishing poses a global threat to ocean habitats. Publicly available satellite data offered by NASA and the European Space Agency (ESA) provide an opportunity to actively monitor this activity. Effectively le
Externí odkaz:
http://arxiv.org/abs/2312.03207
Remote sensing images are useful for a wide variety of planet monitoring applications, from tracking deforestation to tackling illegal fishing. The Earth is extremely diverse -- the amount of potential tasks in remote sensing images is massive, and t
Externí odkaz:
http://arxiv.org/abs/2211.15660
Autor:
Bastani, Favyen
The ability to analyze large-scale video datasets is useful in an increasing range of applications. For example, a traffic planner may want to analyze traffic camera video to compare the frequency of hard braking at different junctions, while an ecol
Externí odkaz:
https://hdl.handle.net/1721.1/140178
In this paper, we propose a self-supervised learning procedure for training a robust multi-object tracking (MOT) model given only unlabeled video. While several self-supervisory learning signals have been proposed in prior work on single-object track
Externí odkaz:
http://arxiv.org/abs/2111.05943
Autor:
Bastani, Favyen, He, Songtao, Jagwani, Satvat, Alizadeh, Mohammad, Balakrishnan, Hari, Chawla, Sanjay, Madden, Sam, Sadeghi, Mohammad Amin
Accurately maintaining digital street maps is labor-intensive. To address this challenge, much work has studied automatically processing geospatial data sources such as GPS trajectories and satellite images to reduce the cost of maintaining digital m
Externí odkaz:
http://arxiv.org/abs/2110.06456
Autor:
Bastani, Favyen, Madden, Sam
The increasing availability of satellite and aerial imagery has sparked substantial interest in automatically updating street maps by processing aerial images. Until now, the community has largely focused on road extraction, where road networks are i
Externí odkaz:
http://arxiv.org/abs/2110.04690
Autor:
Bastani, Favyen, Madden, Sam
Performing analytics tasks over large-scale video datasets is increasingly common in a wide range of applications. These tasks generally involve object detection and tracking operations that require applying expensive machine learning models, and sev
Externí odkaz:
http://arxiv.org/abs/2103.14695
Video-based sensing from aerial drones, especially small multirotor drones, can provide rich data for numerous applications, including traffic analysis (computing traffic flow volumes), precision agriculture (periodically evaluating plant health), an
Externí odkaz:
http://arxiv.org/abs/2103.14699