output
19922026
most citedImage-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era

441 citations

305 papers

physics.ins-det2026

Squeezed state degradations due to mode mismatch and thermal aberrations in gravitational wave detectors

Kevin Kuns, Daniel Brown

To date, frequency-dependent squeezed light has been used to reduce quantum noise in interferometric gravitational-wave detectors by 6.1 dB (a factor of two). Future upgrades and d…

cs.HC2026★ 1 cited

Challenges in Synchronous & Remote Collaboration Around Visualization

Matthew Brehmer, Maxime Cordeil, Christophe Hurter +26

We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives…

cs.CV2026

First International StepUP Competition for Biometric Footstep Recognition: Methods, Results and Remaining Challenges

Robyn Larracy, Eve MacDonald, Angkoon Phinyomark +5

Biometric footstep recognition, based on a person's unique pressure patterns under their feet during walking, is an emerging field with growing applications in security and safety.…

physics.optics2025★ 1 cited

Superconducting Nanowire Single-Photon Detectors for Enhanced Biomedical Imaging

Emi Cora Valmai Hughes, Avinash Upadhya, Kishan Dholakia

Significance: Superconducting nanowire single-photon detectors (SNSPDs; also known as SSPDs) show enormous promise for low-light biomedical imaging by offering exceptional sensitiv…

cond-mat.mtrl-sci2025

Wave energy conversion by floating and submerged piezoelectric bimorph plates

Zachary J. Wegert, Ben Wilks, Ngamta Thamwattana +3

Gaining insight into the interaction between flexible piezoelectric structures and ocean waves can inform the development of compact, high-efficiency wave-energy converters that ha…

physics.app-ph2025★ 10 cited

A Probabilistic Framework for Predicting Spatiotemporal Intensity and Variability of Outdoor Thermal Comfort

Shisheng Chen, Ruohan Xu, Nyuk Hien Wong +3

Thermal conditions in the urban canopy exhibit stochastic variability driven by varied radiative fluxes and turbulent wind fields, requiring probabilistic rather than deterministic…