Results 91 to 100 of about 48,305 (299)

A generalized probabilistic framework for compact codebook creation [PDF]

, 2011
Appearing in IEEE Conf. Comp. Vis. Pattern Recogn. 2011. This reprint differs from the original in pagination and typographic detailCompact and discriminative visual codebooks are pre-ferred in many visual recognition tasks.
Shen, Chunhua, Lingqiao Liu, Lei Wang, Liu, L., Shen, C., Wang, Lei, Chunhua Shen, Liu, Lingqiao, Wang, L.   +8 more
core   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Dominant and Complementary Emotion Recognition From Still Images of Faces

IEEE Access, 2018
Emotion recognition has a key role in affective computing. Recently, fine-grained emotion analysis, such as compound facial expression of emotions, has attracted high interest of researchers working on affective computing.
Jianzhu Guo, Zhen Lei, Jun Wan, Egils Avots, Noushin Hajarolasvadi, Boris Knyazev, Artem Kuharenko, Julio C. Silveira Jacques Junior, Xavier Baro, Hasan Demirel, Sergio Escalera, Juri Allik, Gholamreza Anbarjafari   +12 more
doaj   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

, 2018
A robot that can carry out a natural-language instruction has been a dream since before the Jetsons cartoon series imagined a life of leisure mediated by a fleet of attentive robot helpers. It is a dream that remains stubbornly distant.
Johnson, Mark, Teney, D., Qi Wu, Sunderhauf, Niko, Anderson, Peter, Reid, Ian, Johnson, M., Bruce, J., Ian Reid, Anton van den Hengel, Anderson, P., Wu, Qi, Wu, Q., Hengel, A.V.D., Bruce, Jake, Sünderhauf, N., Reid, I.D., Peter Anderson, Gould, Stephen, Gould, S., van den Hengel, Anton, Damien Teney, Stephen Gould, Jake Bruce, Niko Sunderhauf, Mark Johnson, Teney, Damien   +26 more
core   +1 more source

ABCNet: Real-time scene text spotting with adaptive Bezier-curve network

, 2020
Scene text detection and recognition has received increasing research attention. Existing methods can be roughly categorized into two groups: character-based and segmentation-based.
Shen, C., Jin, L., Liu, Y., Chen, H., He, T., Wang, L.   +5 more
core   +1 more source

A revisit of generative model for automatic image annotation using markov random fields [PDF]

, 2009
10.1109/CVPRW.2009.52065182009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 20091153 ...
null Tat-Seng Chua, Xiang, Y., Ngo, C.-W., XIANG, Yu, CHUA, Tat-Seng, Chua, T.-S., null Yu Xiang, null Xiangdong Zhou, ZHOU, Xiangdong, NGO, Chong-wah, Zhou, X., null Chong-Wah Ngo   +11 more
core   +1 more source

From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices

Advanced Engineering Materials, EarlyView.
Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle, María Ángeles Navacerrada, Johan Christensen, Carlos González   +3 more
wiley   +1 more source

An End-to-End TextSpotter with Explicit Alignment and Attention

, 2018
Text detection and recognition in natural images have long been considered as two separate tasks that are processed sequentially. Jointly training two tasks is non-trivial due to significant differences in learning difficulties and convergence rates.
Yu Qiao, Huang, W., Tian, Z., Changming Sun, Sun, C., Shen, C., Weilin Huang, Chunhua Shen, Tong He, He, T., Qiao, Y., Zhi Tian   +11 more
core   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source