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Camouflaged object detection (COD) aims to accurately detect objects hidden in the surrounding environment. However, the existing COD methods mainly locate camouflaged objects in the RGB domain, their performance has not been fully…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Runmin Cong , Mengyao Sun , Sanyi Zhang , Xiaofei Zhou , Wei Zhang , Yao Zhao

A Compton camera is the most promising approach for gamma-ray detection in the energy region from several hundred keV to MeV, especially for application in high energy astrophysics. In order to obtain good angular resolution, semiconductor…

Coherent diffraction imaging (CDI) is high-resolution lensless microscopy that has been applied to image a wide range of specimens using synchrotron radiation, X-ray free electron lasers, high harmonic generation, soft X-ray laser and…

Optics · Physics 2014-01-23 Jose A Rodriguez , Rui Xu , Chien-Chun Chen , Yunfei Zou , Jianwei Miao

Diffuse speckle contrast analysis (DSCA), also called speckle contrast optical spectroscopy(SCOS), has emerged as a groundbreaking optical imaging technique for tracking dynamic biological processes, including blood flow and tissue…

Achieving fast, sensitive, and parallel measurement of a large number of quantum particles is an essential task in building large-scale quantum platforms for different quantum information processing applications such as sensing,…

Depleted Monolithic Active Pixel Sensors (DMAPS) constitute a promising low cost alternative for the outer layers of the ATLAS experiment Inner Tracker (ITk). Realizations in modern, high resistivity CMOS technologies enhance their…

The dynamic range of our normal life can exceeds 120 dB, however, the smart-phone cameras and the conventional digital cameras can only capture a dynamic range of 90 dB, which sometimes leads to loss of details for the recorded image. Now,…

Image and Video Processing · Electrical Eng. & Systems 2021-01-11 Ziyi Liu

Accurate 3D imaging is essential for machines to map and interact with the physical world. While numerous 3D imaging technologies exist, each addressing niche applications with varying degrees of success, none have achieved the breadth of…

Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS). However, the detection of obstacles especially during night-time is still a challenging task since the lighting conditions are…

Computer Vision and Pattern Recognition · Computer Science 2020-12-17 Jawad N. Yasin , Sherif A. S. Mohamed , Mohammad-hashem Haghbayan , Jukka Heikkonen , Hannu Tenhunen , Muhammad Mehboob Yasin , Juha Plosila

Color-depth cameras (RGB-D cameras) have become the primary sensors in most robotics systems, from service robotics to industrial robotics applications. Typical consumer-grade RGB-D cameras are provided with a coarse intrinsic and extrinsic…

Computer Vision and Pattern Recognition · Computer Science 2018-10-22 Filippo Basso , Emanuele Menegatti , Alberto Pretto

This paper introduces a new Segment Anything Model with Depth Perception (DSAM) for Camouflaged Object Detection (COD). DSAM exploits the zero-shot capability of SAM to realize precise segmentation in the RGB-D domain. It consists of the…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Zhenni Yu , Xiaoqin Zhang , Li Zhao , Yi Bin , Guobao Xiao

In this study, we statistically analyze the performance of a threshold-based multiple optical signal selection scheme (TMOS) for wavelength division multiplexing (WDM) and adaptive coded modulation (ACM) using free space optical (FSO)…

Information Theory · Computer Science 2024-11-03 Jae-Eun Han , Sung Sik Nam , Duck Dong Hwang , Mohamed-Slim Alouini

Photography usually requires optics in conjunction with a recording device (an image sensor). Eliminating the optics could lead to new form factors for cameras. Here, we report a simple demonstration of imaging using a bare CMOS sensor that…

Computer Vision and Pattern Recognition · Computer Science 2018-05-23 Ganghun Kim , Kyle Isaacson , Racheal Palmer , Rajesh Menon

We present a novel multi-modal extrinsic calibration framework designed to simultaneously estimate the relative poses between event cameras, LiDARs, and RGB cameras, with particular focus on the challenging event camera calibration. Core of…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Andrea Bertogalli , Giacomo Boracchi , Luca Magri

We propose a computational imaging method for time-efficient light-field acquisition that combines a coded aperture with an event-based camera. Different from the conventional coded-aperture imaging method, our method applies a sequence of…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Shuji Habuchi , Keita Takahashi , Chihiro Tsutake , Toshiaki Fujii , Hajime Nagahara

Event cameras are bio-inspired dynamic vision sensors that respond to changes in image intensity with a high temporal resolution, high dynamic range and low latency. These sensor characteristics are ideally suited to enable visual target…

Robotics · Computer Science 2022-08-04 Ziwei Wang , Yonhon Ng , Jack Henderson , Robert Mahony

The Astrophysics Division of CEA Saclay has a long history in the development of CdTe based pixelated detection planes for X and gamma-ray astronomy, with time-resolved imaging and spectrometric capabilities. The last generation, named…

Instrumentation and Detectors · Physics 2015-02-06 S. Dubos , H. Lemaire , S. Schanne , O. Limousin , F. Carrel , V. Schoepff , C. Blondel

Ultrashort pulsed lasers, operating through the phenomenon of mode-locking, have played a significant role in many facets of our society for 50 years, for example in the way we exchange information, measure and diagnose diseases, process…

Conventional analog-to-digital converters (ADCs) fail to capture high-dynamic-range (HDR) signals due to clipping. Modulo ADCs circumvent this limitation by folding the input prior to quantization and algorithmically reconstructing the…

Signal Processing · Electrical Eng. & Systems 2025-12-01 Zeyuan Li , Wenyi Yan , Lu Gan , Guoquan Li , Hongqing Liu

In this paper, we investigate a joint device activity detection (DAD), channel estimation (CE), and data decoding (DD) algorithm for multiple-input multiple-output (MIMO) massive unsourced random access (URA). Different from the…

Information Theory · Computer Science 2021-12-20 Tianya Li , Yongpeng Wu , Mengfan Zheng , Wenjun Zhang , Chengwen Xing , Jianping An , Xiang-Gen Xia , Chengshan Xiao