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Safety and reliability are crucial for the public acceptance of autonomous driving. To ensure accurate and reliable environmental perception, intelligent vehicles must exhibit accuracy and robustness in various environments. Millimeter-wave…

Computer Vision and Pattern Recognition · Computer Science 2025-02-24 Yue Sun , Yeqiang Qian , Chunxiang Wang , Ming Yang

We present a general learning-based solution for restoring images suffering from spatially-varying degradations. Prior approaches are typically degradation-specific and employ the same processing across different images and different pixels…

Computer Vision and Pattern Recognition · Computer Science 2021-08-20 Kuldeep Purohit , Maitreya Suin , A. N. Rajagopalan , Vishnu Naresh Boddeti

Conventional LIDAR systems require hundreds or thousands of photon detections to form accurate depth and reflectivity images. Recent photon-efficient computational imaging methods are remarkably effective with only 1.0 to 3.0 detected…

Applications · Statistics 2019-11-13 Joshua Rapp , Vivek K Goyal

Infrared avalanche photodiode arrays represent a panacea for many branches of astronomy by enabling extremely low-noise, high-speed and even photon-counting measurements at near-infrared wavelengths. We recently demonstrated the use of an…

Instrumentation and Methods for Astrophysics · Physics 2015-08-19 Christoph Baranec , Dani Atkinson , Reed Riddle , Donald Hall , Shane Jacobson , Nicholas M. Law , Mark Chun

While 3D Gaussian Splatting (3D-GS) achieves photorealistic novel view synthesis, its performance degrades with motion blur. In scenarios with rapid motion or low-light conditions, existing RGB-based deblurring methods struggle to model…

Computer Vision and Pattern Recognition · Computer Science 2025-07-14 Yufei Deng , Yuanjian Wang , Rong Xiao , Chenwei Tang , Jizhe Zhou , Jiahao Fan , Deng Xiong , Jiancheng Lv , Huajin Tang

Image deblurring techniques play important roles in many image processing applications. As the blur varies spatially across the image plane, it calls for robust and effective methods to deal with the spatially-variant blur problem. In this…

Computer Vision and Pattern Recognition · Computer Science 2015-03-03 Chongyang Zhang , Weiyao Lin , Wei Li , Bing Zhou , Jun Xie , Jijia Li

Motion blurry images challenge many computer vision algorithms, e.g, feature detection, motion estimation, or object recognition. Deep convolutional neural networks are state-of-the-art for image deblurring. However, obtaining training data…

Computer Vision and Pattern Recognition · Computer Science 2020-02-13 Peidong Liu , Joel Janai , Marc Pollefeys , Torsten Sattler , Andreas Geiger

We propose a fully asynchronous peak detection approach for SPAD-based direct time-of-flight (dToF) flash LiDAR, enabling pixel-wise event-driven depth acquisition without global synchronization. By allowing pixels to independently report…

Image and Video Processing · Electrical Eng. & Systems 2025-12-29 Yiyang Liu , Rongxuan Zhang , Istvan Gyongy , Alistair Gorman , Sarrah M. Patanwala , Filip Taneski , Robert K. Henderson

This paper addresses the problem of imaging in the presence of diffraction-photons. Diffraction-photons arise from the low contrast ratio of DMDs ($\sim\,1000:1$), and very much degrade the quality of images captured by SPAD-based systems.…

Computer Vision and Pattern Recognition · Computer Science 2019-11-14 Ibrahim Alsolami , Wolfgang Heidrich

3D photography is a new medium that allows viewers to more fully experience a captured moment. In this work, we refer to a 3D photo as one that displays parallax induced by moving the viewpoint (as opposed to a stereo pair with a fixed…

End-to-end autonomous driving systems promise stronger performance through unified optimization of perception, motion forecasting, and planning. However, vision-based approaches face fundamental limitations in adverse weather conditions,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Philipp Wolters , Johannes Gilg , Torben Teepe , Gerhard Rigoll

Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem. The problem becomes even worse when blur kernel varies spatially due to scene depth variation and high-order camera…

Computer Vision and Pattern Recognition · Computer Science 2018-06-15 Dongwoo Lee , Haesol Park , In Kyu Park , Kyoung Mu Lee

We present a practical and easy-to-implement method for high-speed near infrared single-photon detection based on InGaAs/InP single-photon avalanche photodiodes (SPADs), combining aspects of both sine gating and self-differencing…

Quantum Physics · Physics 2009-09-04 Jun Zhang , Rob Thew , Claudio Barreiro , Hugo Zbinden

Single-photon lidar has emerged as a prime candidate technology for depth imaging through challenging environments. Until now, a major limitation has been the significant amount of time required for the analysis of the recorded data. Here…

Image and Video Processing · Electrical Eng. & Systems 2020-01-08 Julián Tachella , Yoann Altmann , Nicolas Mellado , Aongus McCarthy , Rachael Tobin , Gerald S. Buller , Jean-Yves Tourneret , Stephen McLaughlin

We present a single-photon-sensitive spectrometer, based on a linear array of 512 single-photon avalanche diode detectors, with 0.04 nm spectral and 40 ps temporal resolutions. We employ a fast data-driven operation that allows direct…

Capturing depth and reflectivity images at low light levels from active illumination of a scene has wide-ranging applications. Conventionally, even with single-photon detectors, hundreds of photon detections are needed at each pixel to…

Applications · Statistics 2026-03-12 Dongeek Shin , Ahmed Kirmani , Vivek K Goyal , Jeffrey H. Shapiro

Single-photon lidar has become a prominent tool for depth imaging in recent years. At the core of the technique, the depth of a target is measured by constructing a histogram of time delays between emitted light pulses and detected photon…

Signal Processing · Electrical Eng. & Systems 2022-01-06 Michael P. Sheehan , Julián Tachella , Mike E. Davies

A single-pixel digital holography system with phase-encoded illumination using a digital micromirror device (DMD) as a spatial light modulator (SLM) is presented. The enhanced switching rate of DMDs, far exceeding the stringent frame-rate…

Single-photon avalanche detectors (SPADs) are well-suited for satellite-based quantum communication because of their advantageous operating characteristics as well as their relatively straightforward and robust integration into satellite…

Space Physics · Physics 2023-12-11 Joanna Krynski , Nigar Sultana , Youn Seok Lee , Vadim Makarov , Thomas Jennewein

Accurate, high-resolution, and real-time DOA estimation is a cornerstone of environmental perception in automotive radar systems. While sparse signal recovery techniques offer super-resolution and high-precision estimation, their…

Signal Processing · Electrical Eng. & Systems 2026-02-19 Longxin Bai , Jingchao Zhang , Liyan Qiao
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