Zobrazeno 1 - 10
of 22 899
pro vyhledávání: '"Metzler, A"'
Autor:
Shah, Sachin, Chan, Matthew Albert, Cai, Haoming, Chen, Jingxi, Kulshrestha, Sakshum, Singh, Chahat Deep, Aloimonos, Yiannis, Metzler, Christopher
Point-spread-function (PSF) engineering is a well-established computational imaging technique that uses phase masks and other optical elements to embed extra information (e.g., depth) into the images captured by conventional CMOS image sensors. To da
Externí odkaz:
http://arxiv.org/abs/2406.09409
Autor:
Ali, Omair, Saif-ur-Rehman, Muhammad, Metzler, Marita, Glasmachers, Tobias, Iossifidis, Ioannis, Klaes, Christian
Generating continuous electroencephalography (EEG) signals through advanced artificial neural networks presents a novel opportunity to enhance brain-computer interface (BCI) technology. This capability has the potential to significantly enhance appli
Externí odkaz:
http://arxiv.org/abs/2406.03115
Autor:
Xiong, Tianyi, Wu, Jiayi, He, Botao, Fermuller, Cornelia, Aloimonos, Yiannis, Huang, Heng, Metzler, Christopher A.
By combining differentiable rendering with explicit point-based scene representations, 3D Gaussian Splatting (3DGS) has demonstrated breakthrough 3D reconstruction capabilities. However, to date 3DGS has had limited impact on robotics, where high-spe
Externí odkaz:
http://arxiv.org/abs/2406.02972
Autor:
Metzler, Zachary, Cannady, Nicholas, Shy, Daniel, Caputo, Regina, Kierans, Carolyn, Woolf, Richard
ComPair is a prototype gamma-ray telescope for the development of key technologies for next-generation gamma-ray detectors consisting of four subsystems: a 10-layer double-sided silicon strip detector tracker, a cadmium zinc telluride calorimeter, a
Externí odkaz:
http://arxiv.org/abs/2405.15974
Autor:
Knauthe, Volker, Rak, Arne, Wirth, Tristan, Pöllabauer, Thomas, Metzler, Simon, Kuijper, Arjan, Fellner, Dieter W.
Semantic Image Segmentation facilitates a multitude of real-world applications ranging from autonomous driving over industrial process supervision to vision aids for human beings. These models are usually trained in a supervised fashion using example
Externí odkaz:
http://arxiv.org/abs/2405.12864
Autor:
Shy, Daniel, Woolf, Richard S., Sleator, Clio, Phlips, Bernard, Grove, J. Eric, Wulf, Eric A., Johnson-Rambert, Mary, Davis, Mitch, Kong, Emily, Caligiure, Thomas, Crosier, A. Wilder, Bolotnikov, Aleksey, Cannady, Nicholas, Carini, Gabriella A., Caputo, Regina, Fried, Jack, Ghosh, Priyarshini, Griffin, Sean, Hays, Elizabeth, Herrmann, Sven, Kierans, Carolyn, Kirschner, Nicholas, Liceaga-Indart, Iker, Metzler, Zachary, McEnery, Julie, Mitchell, John, Moiseev, A. A., Parker, Lucas, Dellapenna, Alfred, Perkins, Jeremy S., Sasaki, Makoto, Schoenwald, Adam J., Smith, Lucas D., Valverde, Janeth, Wasti, Sambid, Zajczyk, Anna
The ComPair gamma-ray telescope is a technology demonstrator for a future gamma-ray telescope called the All-sky Medium Energy Gamma-ray Observatory (AMEGO). The instrument is composed of four subsystems, a double-sided silicon strip detector, a virt
Externí odkaz:
http://arxiv.org/abs/2405.06839
Recent studies introduced effective compression techniques for Large Language Models (LLMs) via post-training quantization or low-bit weight representation. Although quantized weights offer storage efficiency and allow for faster inference, existing
Externí odkaz:
http://arxiv.org/abs/2405.00632
A key requirement in developing Generative Language Models (GLMs) is to have their values aligned with human values. Preference-based alignment is a widely used paradigm for this purpose, in which preferences over generation pairs are first elicited
Externí odkaz:
http://arxiv.org/abs/2404.09824
Autor:
Xie, Mingyang, Guo, Haiyun, Feng, Brandon Y., Jin, Lingbo, Veeraraghavan, Ashok, Metzler, Christopher A.
Imaging through scattering media is a fundamental and pervasive challenge in fields ranging from medical diagnostics to astronomy. A promising strategy to overcome this challenge is wavefront modulation, which induces measurement diversity during ima
Externí odkaz:
http://arxiv.org/abs/2404.07985
Reinforcement Learning from Human Feedback (RLHF) is a popular method for aligning Language Models (LM) with human values and preferences. RLHF requires a large number of preference pairs as training data, which are often used in both the Supervised
Externí odkaz:
http://arxiv.org/abs/2404.05530