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The resolution and contrast of microscope imaging is often affected by aberrations introduced by imperfect optical systems and inhomogeneous refractive structures in specimens. Adaptive optics (AO) compensates these aberrations and restores…

We describe a method for imaging 3D objects in a tomographic configuration implemented by training an artificial neural network to reproduce the complex amplitude of the experimentally measured scattered light. The network is designed such…

This work proposes DOFS, a pilot dataset of 3D deformable objects (DOs) (e.g., elasto-plastic objects) with full spatial information (i.e., top, side, and bottom information) using a novel and low-cost data collection platform with a…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Zhen Zhang , Xiangyu Chu , Yunxi Tang , K. W. Samuel Au

Optical satellites, with their diverse band layouts and ground sampling distances, supply indispensable evidence for tasks ranging from ecosystem surveillance to emergency response. However, significant discrepancies in band composition and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Xuyang Li , Chenyu Li , Danfeng Hong

Empowered by transformer-based models, visual tracking has advanced significantly. However, the slow speed of current trackers limits their applicability on devices with constrained computational resources. To address this challenge, we…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Xiangyang Yang , Dan Zeng , Xucheng Wang , You Wu , Hengzhou Ye , Qijun Zhao , Shuiwang Li

We describe a method for 3D human pose estimation from transient images (i.e., a 3D spatio-temporal histogram of photons) acquired by an optical non-line-of-sight (NLOS) imaging system. Our method can perceive 3D human pose by `looking…

Computer Vision and Pattern Recognition · Computer Science 2020-04-02 Mariko Isogawa , Ye Yuan , Matthew O'Toole , Kris Kitani

A mirrored transformation optics (MTO) approach is presented to overcome the material mismatch in transformation optics. It makes good use of the reflection behavior and introduce a mirrored medium to offset the phase discontinuities. Using…

Optics · Physics 2023-11-23 Junke Liao , Pengfei Zhao , Zhinbing Zhang , Wen Xiao , Huanyang Chen

Techniques to mold the flow of light on subwavelength scales enable fundamentally new optical systems and device applications. The realization of programmable, active optical systems with fast, tunable components is among the outstanding…

We study the potential of adaptive optics (AO) to protect entanglement of high-dimensional photonic orbital-angular-momentum (OAM) states against turbulence-induced phase distortions. We demonstrate that AO is able to reduce crosstalk among…

This paper propose a interactive 3D modeling method and corresponding system based on single or multiple uncalibrated images. The main feature of this method is that, according to the modeling habits of ordinary people, the 3D model of the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Zhi He , Rui Wang , Wei Hua , Yuchi Huo

Artificial visual systems (AVS) have gained tremendous momentum because of its huge potential in areas such as autonomous vehicles and robotics as part of artificial intelligence (AI) in recent years. However, current machine visual systems…

Optics · Physics 2023-07-26 Tian Zhang , Xin Guo , Pan Wang , Linjun Li , Limin Tong

Robust object tracking requires knowledge of tracked objects' appearance, motion and their evolution over time. Although motion provides distinctive and complementary information especially for fast moving objects, most of the recent…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Hasan Saribas , Hakan Cevikalp , Okan Köpüklü , Bedirhan Uzun

We propose and investigate a technique for generating smooth two-dimensional potentials for ultra-cold atoms based on the rapid scanning of a far-detuned laser beam using a two-dimensional acousto-optical modulator (AOM). We demonstrate the…

Tracking of objects in 3D is a fundamental task in computer vision that finds use in a wide range of applications such as autonomous driving, robotics or augmented reality. Most recent approaches for 3D multi object tracking (MOT) from…

Computer Vision and Pattern Recognition · Computer Science 2021-04-26 Jan-Nico Zaech , Dengxin Dai , Alexander Liniger , Martin Danelljan , Luc Van Gool

Active Appearance Model (AAM) is a commonly used method for facial image analysis with applications in face identification and facial expression recognition. This paper proposes a new approach based on image alignment for AAM fitting called…

Computer Vision and Pattern Recognition · Computer Science 2015-11-23 Ali Mollahosseini , Mohammad H. Mahoor

We present See-Through Face Display, an eye-contact display system designed to enhance gaze awareness in both human-to-human and human-to-avatar communication. The system addresses the limitations of existing gaze correction methods by…

Human-Computer Interaction · Computer Science 2024-10-23 Kazuya Izumi , Ryosuke Hyakuta , Ippei Suzuki , Yoichi Ochiai

Transformation optics offers an unconventional approach to the control of electromagnetic fields. A transformation optical structure is designed by first applying a form-invariant coordinate transform to Maxwell's equations, in which part…

Deformable object manipulation (DOM) represents a critical challenge in robotics, with applications spanning healthcare, manufacturing, food processing, and beyond. Unlike rigid objects, deformable objects exhibit infinite dimensionality,…

Robotics · Computer Science 2026-02-27 Ryan Paul McKennaa , John Oyekan

Abstract The magneto-optical trap (MOT) is an essential tool for collecting and preparing cold atoms with a wide range of applications. We demonstrate a planar-integrated MOT by combining an optical grating chip with a magnetic coil chip.…

Vision Transformers (ViTs) have significantly advanced computer vision, demonstrating strong performance across various tasks. However, the attention mechanism in ViTs makes each layer function as a low-pass filter, and the stacked-layer…

Computer Vision and Pattern Recognition · Computer Science 2025-10-24 Linwei Chen , Lin Gu , Ying Fu
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