Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Martel, Julien"'
Cryogenic electron microscopy (cryo-EM) has transformed structural biology by allowing to reconstruct 3D biomolecular structures up to near-atomic resolution. However, the 3D reconstruction process remains challenging, as the 3D structures may exhibi
Externí odkaz:
http://arxiv.org/abs/2306.07274
Publikováno v:
Neural Information Processing Systems (NeurIPS) 2022
Cryo-electron microscopy (cryo-EM) is an imaging modality that provides unique insights into the dynamics of proteins and other building blocks of life. The algorithmic challenge of jointly estimating the poses, 3D structure, and conformational heter
Externí odkaz:
http://arxiv.org/abs/2210.07387
Autor:
Tchango, Arsene Fansi, Goel, Rishab, Martel, Julien, Wen, Zhi, Caron, Gaetan Marceau, Ghosn, Joumana
The automation of the medical evidence acquisition and diagnosis process has recently attracted increasing attention in order to reduce the workload of doctors and democratize access to medical care. However, most works proposed in the machine learni
Externí odkaz:
http://arxiv.org/abs/2210.07198
Autor:
Nashed, Youssef, Peck, Ariana, Martel, Julien, Levy, Axel, Koo, Bongjin, Wetzstein, Gordon, Miolane, Nina, Ratner, Daniel, Poitevin, Frédéric
Cryogenic electron microscopy (cryo-EM) provides a unique opportunity to study the structural heterogeneity of biomolecules. Being able to explain this heterogeneity with atomic models would help our understanding of their functional mechanisms but t
Externí odkaz:
http://arxiv.org/abs/2209.15121
There has been a rapidly growing interest in Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the machine learning research literature, aiming to assist doctors in telemedicine services. These systems are designed to interact
Externí odkaz:
http://arxiv.org/abs/2205.09148
Computationally removing the motion blur introduced by camera shake or object motion in a captured image remains a challenging task in computational photography. Deblurring methods are often limited by the fixed global exposure time of the image capt
Externí odkaz:
http://arxiv.org/abs/2204.07267
Autor:
Levy, Axel, Poitevin, Frédéric, Martel, Julien, Nashed, Youssef, Peck, Ariana, Miolane, Nina, Ratner, Daniel, Dunne, Mike, Wetzstein, Gordon
Cryo-electron microscopy (cryo-EM) has become a tool of fundamental importance in structural biology, helping us understand the basic building blocks of life. The algorithmic challenge of cryo-EM is to jointly estimate the unknown 3D poses and the 3D
Externí odkaz:
http://arxiv.org/abs/2203.08138
The ability to image high-dynamic-range (HDR) scenes is crucial in many computer vision applications. The dynamic range of conventional sensors, however, is fundamentally limited by their well capacity, resulting in saturation of bright scene parts.
Externí odkaz:
http://arxiv.org/abs/2112.05221
Autor:
Martel, Julien N. P., Lindell, David B., Lin, Connor Z., Chan, Eric R., Monteiro, Marco, Wetzstein, Gordon
Neural representations have emerged as a new paradigm for applications in rendering, imaging, geometric modeling, and simulation. Compared to traditional representations such as meshes, point clouds, or volumes they can be flexibly incorporated into
Externí odkaz:
http://arxiv.org/abs/2105.02788
Compressive imaging using coded apertures (CA) is a powerful technique that can be used to recover depth, light fields, hyperspectral images and other quantities from a single snapshot. The performance of compressive imaging systems based on CAs most
Externí odkaz:
http://arxiv.org/abs/2104.02820