Results 71 to 80 of about 153,605 (299)

Generative models for SAR–optical image translation: A systematic review

International Journal of Applied Earth Observations and Geoinformation
Growing demands in sustainable development and resource management are driving increasing reliance on remote sensing-based Earth observation and image interpretation.
Zhao Wang, Zheng Zhang, Xiaojun Shan, Hong-an Wei, Ping Tang   +4 more
doaj   +1 more source

Adversarial Discriminative Domain Adaptation

, 2017
Adversarial learning methods are a promising approach to training robust deep networks, and can generate complex samples across diverse domains. They also can improve recognition despite the presence of domain shift or dataset bias: several adversarial ...
Darrell, Trevor, Hoffman, Judy, Saenko, Kate, Tzeng, Eric   +3 more
core   +1 more source

Function‐driven design of a surrogate interleukin‐2 receptor ligand

FEBS Letters, EarlyView.
Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang, Zelin Cheng, Teng Li, Fulian Wang, Liangminghui Zhang, Xiuxiu He, Lili Liu, Wei Wang, Aibin Liang, Guang Yang   +9 more
wiley   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

FEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo, Carolin Ector, Hanspeter Herzel   +2 more
wiley   +1 more source

SAREval: A Multi-Dimensional and Multi-Task Benchmark for Evaluating Visual Language Models on SAR Image Understanding

Remote Sensing
Vision-Language Models (VLMs) demonstrate significant potential for remote sensing interpretation through multimodal fusion and semantic representation of imagery.
Ziyan Wang, Lei Liu, Gang Wan, Yuchen Lu, Fengjie Zheng, Guangde Sun, Yixiang Huang, Shihao Guo, Xinyi Li, Liang Yuan   +9 more
doaj   +1 more source

Face Sketch Matching via Coupled Deep Transform Learning

, 2017
Face sketch to digital image matching is an important challenge of face recognition that involves matching across different domains. Current research efforts have primarily focused on extracting domain invariant representations or learning a mapping from
Majumdar, Angshul, Nagpal, Shruti, Noore, Afzel, Singh, Maneet, Singh, Richa, Vatsa, Mayank   +5 more
core   +1 more source

Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation

, 2022
The connectional brain template (CBT) captures the shared traits across all individuals of a given population of brain connectomes, thereby acting as a fingerprint. Estimating a CBT from a population where brain graphs are derived from diverse neuroimaging modalities (e.g., functional and structural) and at different resolutions (i.e., number of nodes)
Ece Cinar, Sinem Elif Haseki, Alaa Bessadok, Islem Rekik   +3 more
openaire   +3 more sources

Cross-Modal Correspondences Enhance Performance on a Colour-to-Sound Sensory Substitution Device.

Multisensory Research, 2016
Visual sensory substitution devices (SSDs) can represent visual characteristics through distinct patterns of sound, allowing a visually impaired user access to visual information.
Giles Hamilton-Fletcher, Thomas D. Wright, J. Ward   +2 more
semanticscholar   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Multi- and Cross-Modal Semantics Beyond Vision: Grounding in Auditory Perception

Conference on Empirical Methods in Natural Language Processing, 2015
Multi-modal semantics has relied on feature norms or raw image data for perceptual input. In this paper we examine grounding semantic representations in raw auditory data, using standard evaluations for multi-modal semantics, including measuring ...
Douwe Kiela, S. Clark
semanticscholar   +1 more source