Zobrazeno 1 - 10
of 2 326
pro vyhledávání: '"Mehdi, S."'
Autor:
van Steenkiste, Sjoerd, Zoran, Daniel, Yang, Yi, Rubanova, Yulia, Kabra, Rishabh, Doersch, Carl, Gokay, Dilara, Heyward, Joseph, Pot, Etienne, Greff, Klaus, Hudson, Drew A., Keck, Thomas Albert, Carreira, Joao, Dosovitskiy, Alexey, Sajjadi, Mehdi S. M., Kipf, Thomas
Current vision models typically maintain a fixed correspondence between their representation structure and image space. Each layer comprises a set of tokens arranged "on-the-grid," which biases patches or tokens to encode information at a specific sp
Externí odkaz:
http://arxiv.org/abs/2411.05927
Autor:
Seitzer, Maximilian, van Steenkiste, Sjoerd, Kipf, Thomas, Greff, Klaus, Sajjadi, Mehdi S. M.
Visual understanding of the world goes beyond the semantics and flat structure of individual images. In this work, we aim to capture both the 3D structure and dynamics of real-world scenes from monocular real-world videos. Our Dynamic Scene Transform
Externí odkaz:
http://arxiv.org/abs/2310.06020
Recent progress in 3D scene understanding enables scalable learning of representations across large datasets of diverse scenes. As a consequence, generalization to unseen scenes and objects, rendering novel views from just a single or a handful of in
Externí odkaz:
http://arxiv.org/abs/2306.08068
Autor:
Zimmermann, Roland S., van Steenkiste, Sjoerd, Sajjadi, Mehdi S. M., Kipf, Thomas, Greff, Klaus
Self-supervised methods for learning object-centric representations have recently been applied successfully to various datasets. This progress is largely fueled by slot-based methods, whose ability to cluster visual scenes into meaningful objects hol
Externí odkaz:
http://arxiv.org/abs/2305.18890
The Scene Representation Transformer (SRT) is a recent method to render novel views at interactive rates. Since SRT uses camera poses with respect to an arbitrarily chosen reference camera, it is not invariant to the order of the input views. As a re
Externí odkaz:
http://arxiv.org/abs/2304.00947
Autor:
Cortez I, Gaffney CM, Vichare R, Crelli CV, Liu L, Lee E, Edralin J, Nichols JM, Pham HV, Mehdi S, Janjic JM, Shepherd AJ
Publikováno v:
International Journal of Nanomedicine, Vol Volume 19, Pp 7253-7271 (2024)
Ibdanelo Cortez,1,* Caitlyn M Gaffney,1,* Riddhi Vichare,2 Caitlin V Crelli,2 Lu Liu,2 Eric Lee,1 Jules Edralin,1 James M Nichols,1 Hoang Vu Pham,1 Syed Mehdi,1 Jelena M Janjic,2 Andrew J Shepherd1 1Laboratories of Neuroimmunology, Department
Externí odkaz:
https://doaj.org/article/b6eb53f5343249c9a433c7f89464a294
Autor:
Driess, Danny, Xia, Fei, Sajjadi, Mehdi S. M., Lynch, Corey, Chowdhery, Aakanksha, Ichter, Brian, Wahid, Ayzaan, Tompson, Jonathan, Vuong, Quan, Yu, Tianhe, Huang, Wenlong, Chebotar, Yevgen, Sermanet, Pierre, Duckworth, Daniel, Levine, Sergey, Vanhoucke, Vincent, Hausman, Karol, Toussaint, Marc, Greff, Klaus, Zeng, Andy, Mordatch, Igor, Florence, Pete
Large language models excel at a wide range of complex tasks. However, enabling general inference in the real world, e.g., for robotics problems, raises the challenge of grounding. We propose embodied language models to directly incorporate real-worl
Externí odkaz:
http://arxiv.org/abs/2303.03378
Autor:
Biza, Ondrej, van Steenkiste, Sjoerd, Sajjadi, Mehdi S. M., Elsayed, Gamaleldin F., Mahendran, Aravindh, Kipf, Thomas
Automatically discovering composable abstractions from raw perceptual data is a long-standing challenge in machine learning. Recent slot-based neural networks that learn about objects in a self-supervised manner have made exciting progress in this di
Externí odkaz:
http://arxiv.org/abs/2302.04973
Autor:
Jane N. Ewing, BS, Chris Amro, MD, Ashley Chang, BA, Zachary Gala, MD, Mehdi S. Lemdani, BA, Robyn B. Broach, PhD, John P. Fischer, MD, MPH, FACS, Joseph M. Serletti, MD, Saïd C. Azoury, MD
Publikováno v:
Plastic and Reconstructive Surgery, Global Open, Vol 12, Iss 11, p e6273 (2024)
Background:. With marijuana use on the rise, its influence on surgical outcomes, particularly for breast reduction, warrants investigation. This study aims to clarify marijuana’s effects on breast reduction surgery outcomes, given its limited resea
Externí odkaz:
https://doaj.org/article/c74565527fbd47cf9f4acee5893f80fb
Autor:
Sajjadi, Mehdi S. M., Mahendran, Aravindh, Kipf, Thomas, Pot, Etienne, Duckworth, Daniel, Lucic, Mario, Greff, Klaus
Inferring the structure of 3D scenes from 2D observations is a fundamental challenge in computer vision. Recently popularized approaches based on neural scene representations have achieved tremendous impact and have been applied across a variety of a
Externí odkaz:
http://arxiv.org/abs/2211.14306