Results 111 to 120 of about 559,979 (314)

What value do explicit high level concepts have in vision to language problems?

, 2016
Much of the recent progress in Vision-to-Language (V2L) problems has been achieved through a combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).
Dick, Anthony, Hengel, Anton van den, Liu, Lingqiao, Shen, Chunhua, Wu, Qi   +4 more
core   +1 more source

Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light

Advanced Functional Materials, EarlyView.
A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid, Demeng Feng, Pournima Narayanan, Justin S. Edwards, Manchen Hu, Emma Belliveau, Minjeong Kim, Shenwei Yin, Sanket Deshpande, Chenghao Wan, Linda Pucurimay, David A. Czaplewski, Daniel N. Congreve, Mikhail A. Kats   +13 more
wiley   +1 more source

SqueezeJet: High-level Synthesis Accelerator Design for Deep Convolutional Neural Networks

, 2018
Deep convolutional neural networks have dominated the pattern recognition scene by providing much more accurate solutions in computer vision problems such as object recognition and object detection.
Mousouliotis, Panagiotis G., Petrou, Loukas P.   +1 more
core   +1 more source

Designing Thermally Compatible Template‐Coating Pairs Toward Dimensionally Stable 3D Porous Carbons with Tunable Density

Advanced Functional Materials, EarlyView.
3D porous carbons with tunable density are crucial for energy storage, separations, and load‐bearing applications; however, their fabrication is often constrained by shrinkage during pyrolysis. This study optimizes and demonstrates the versatility of a template–coating pair strategy, producing materials that largely retain their shape and hierarchical ...
Adarsh Suresh, Manuela Campos, Kendrick Xie, Elektra Makris, Jonah Lovejoy, Maya El Shamsy, Chong Liu, Stuart J Rowan   +7 more
wiley   +1 more source

RoHS‐Compliant, Cu‐Zn‐In‐Se‐Based Core/Multi‐shell Quantum Dots with Efficient and Tunable Short‐Wave Infrared Emission

Advanced Functional Materials, EarlyView.
An innovative combination of size‐controlled template synthesis, partial cation exchange reactions, and dual shell passivation offers a new class of RoHS‐compliant, heavy metal‐free Cu‐Zn‐In‐Se/ZnS/Al2O3 core/shell/shell quantum dots (QDs), exhibiting long‐range tunability, highly efficient SWIR emission with remarkably narrow photoluminescence ...
Avijit Saha, Morena Cervino, Hossein Roshan, René Hübner, Angelika Wrzesińska‐Lashkova, Christine Steinbach, Yana Vaynzof, Francesco Di Stasio, Vladimir Lesnyak   +8 more
wiley   +1 more source

Application of Pattern Recognition and Computer Vision Tools to Improve the Morphological Analysis of Microplastic Items in Biological Samples [PDF]

, 2023
Aleksander Astel, Paulina Piskuła
openalex   +1 more source

Efficient Regularization of Squared Curvature [PDF]

, 2014
Curvature has received increased attention as an important alternative to length based regularization in computer vision. In contrast to length, it preserves elongated structures and fine details.
Boykov, Yuri, Gorelick, Lena, Nieuwenhuis, Claudia, Toeppe, Eno, Veksler, Olga   +4 more
core  

Upconversion Nanoparticles Embedded Photonic Contact Lens for Transepithelial Corneal Crosslinking Using Hyaluronate – Riboflavin Conjugate

Advanced Functional Materials, EarlyView.
A minimally invasive, transepithelial corneal cross‐linking (TE‐CXL) approach is presented using upconversion nanoparticles (UCNPs)‐loaded contact lenses (UCLs), after topical delivery of hyaluronate–riboflavin conjugates. The NIR‐to‐UV/blue light conversion by UCNPs in a UCL can activate riboflavin for TE‐CXL, resulting in the biomechanical strength ...
Gibum Lee, Inhoo Choi, Anara Molkenova, Yengwoo Son, Seungmin Yang, Mina Kwon, Tae‐Im Kim, Ki Su Kim, Sei Kwang Hahn   +8 more
wiley   +1 more source

Deep learning based decoding of single local field potential events

NeuroImage
How is information processed in the cerebral cortex? In most cases, recorded brain activity is averaged over many (stimulus) repetitions, which erases the fine-structure of the neural signal. However, the brain is obviously a single-trial processor. Thus,
Achim Schilling, Richard Gerum, Claudia Boehm, Jwan Rasheed, Claus Metzner, Andreas Maier, Caroline Reindl, Hajo Hamer, Patrick Krauss   +8 more
doaj   +1 more source

Pattern Recognition of Sarong Fabric Using Machine Learning Approach Based on Computer Vision for Cultural Preservation

, 2022
Anindita Septiarini, Rizqi Saputra, Andi Tedjawati, Masna Wati, Hamdani Hamdani, A Rahiche, R Hedjam, S, M Cheriet, S Zhalehpour, E Arabnejad, C Wellmon, A Piper, M Cheriet, I Mahawan, A Harjoko, M Singh, G Singh, A Widiarti, R Pulungan, K Manjusha, M Kumar, K Soman, T Hu, Q Xie, Q Yuan, J Lv, Q Xiong, A Rangkuti, A Harjoko, A Putra, N Nuraedah, M Bakri, A Kasim, A Kasim, R Wardoyo, A Harjoko, A Kasim, M Bakri, A Septiarini, K Umam, A Barakbah, A Basuki, A Rangkuti, Z Rasjid, D Santoso, A Septiarini, R Saputra, A Tejawati, M Wati, H Hamdani, N Puspitasari, Z Rong, Z Li, L Dong-Nan, W Herulambang, M Hamidah, F Setyatama, A Nugrowati, A Barakbah, N Ramadijanti, Y Setiowati, F Lamont, J Cervantes, A Lopez, L Rodriguez, M Jadhav, D Jadhav, F Utaminingrum, A Johan, I Somawirata, A Risnandar, Septiarini, S Mohammed, F Alkinani, Y Hassan, T Ojala, M Pietikinen, T Menp, J Rajevenceltha, V Gaidhane, N Sulistianingsih, I Soesanti, R Hartanto, J Meng, Y Yang, S Karamizadeh, S Abdullah, A Manaf, M Zamani, A Hooman, A Kececi, A Yildirak, K Ozyazici, G Ayluctarhan, O Agbulut, I Zincir, X Deng, Q Liu, Y Deng   +99 more
openalex   +1 more source