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Inverse path tracing has recently been applied to joint material and lighting estimation, given geometry and multi-view HDR observations of an indoor scene. However, it has two major limitations: path tracing is expensive to compute, and…

Computer Vision and Pattern Recognition · Computer Science 2023-08-25 Liwen Wu , Rui Zhu , Mustafa B. Yaldiz , Yinhao Zhu , Hong Cai , Janarbek Matai , Fatih Porikli , Tzu-Mao Li , Manmohan Chandraker , Ravi Ramamoorthi

Direct optical detection and imaging of single nanoparticles on substrate in wide field underpin vast applications across different research fields. However, the speckles originating from the unavoidable random surface undulations of the…

Optics · Physics 2024-02-27 Nanfang Jiao , Shupei Lin , Delong Feng , Yong He , Xue-Wen Chen

We derive the statistics of the signals generated by shape fluctuations of large molecules studied by feedback tracking microscopy. We account for the influence of intramolecular dynamics on the response of the tracking system, and derive a…

Optics · Physics 2015-05-13 Kevin McHale , Hideo Mabuchi

For dose calculations in ion beam therapy, it is vital to accurately determine the relative stopping power (RSP) distribution within the treated volume. Currently, RSP values are extrapolated from Hounsfield units (HU), measured with x-ray…

We propose an object tracking method, SFTrack++, that smoothly learns to preserve the tracked object consistency over space and time dimensions by taking a spectral clustering approach over the graph of pixels from the video, using a fast…

Computer Vision and Pattern Recognition · Computer Science 2021-11-05 Elena Burceanu

Time-dependent diffusion behavior is probed over sub-millisecond timescales in a single shot using an NMR static gradient, time-incremented echo train acquisition (SG-TIETA) framework. The method extends the Carr-Purcell-Meiboom-Gill (CPMG)…

Quantitative Methods · Quantitative Biology 2021-03-18 Teddy X. Cai , Nathan H. Williamson , Velencia J. Witherspoon , Rea Ravin , Peter J. Basser

Piecewise Diffusion Markov Processes (PDifMPs) are valuable for modelling systems where continuous dynamics are interrupted by sudden shifts and/or changes in drift and diffusion. The first-passage time (FPT) in such models plays a central…

Probability · Mathematics 2025-07-11 Sascha Desmettre , Devika Khurana , Amira Meddah

The integration of image and event streams offers a promising approach for achieving robust visual object tracking in complex environments. However, current fusion methods achieve high performance at the cost of significant computational…

Computer Vision and Pattern Recognition · Computer Science 2025-10-09 Jingjun Yang , Liangwei Fan , Jinpu Zhang , Xiangkai Lian , Hui Shen , Dewen Hu

Conventional approaches for simulating steady-state distributions of particles under diffusive and advective transport at high P\'eclet numbers involve solving the diffusion and advection equations in at least two dimensions. Here, we…

Currently, free flaps and pedicled flaps are assessed for reperfusion in post-operative care using colour, capillary refill, temperature, texture and Doppler signal (if available). While these techniques are effective, they are prone to…

Medical Physics · Physics 2022-04-18 Mark Main , Richard JJ Pilkington , Graham M Gibson , Akhil Kallepalli

Correlation filter (CF)-based trackers have gained significant attention for their computational efficiency in thermal infrared (TIR) target tracking. However, ex-isting methods struggle with challenges such as low-resolution imagery,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Shang Zhang , Yuke Hou , Guoqiang Gong , Ruoyan Xiong , Yue Zhang

This work addresses the critical problem of tracking fast-moving objects through strongly scattering media in a low-light environment. Different from existing approaches that use frame-based cameras with fixed exposure times, which trade…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Yuqing Cao , Shuo Zhu , Rongzhou Chen , Jingyan Chen , Ni Chen , Edmund Y. Lam

A new high-precision eye-tracking method has been demonstrated recently by tracking the motion of iris features rather than by exploiting pupil edges. While the method provides high precision, it suffers from temporal drift, an inability to…

Computer Vision and Pattern Recognition · Computer Science 2020-09-22 Aayush K. Chaudhary , Jeff B. Pelz

Iterative Learning Control (ILC) is useful in spacecraft application for repeated high precision scanning maneuvers. Repetitive Control (RC) produces effective active vibration isolation based on frequency response. This paper considers ILC…

Systems and Control · Electrical Eng. & Systems 2023-06-27 Shuo Liu , Richard W. Longman , Benjamas Panomruttanarug

Discrete diffusion models excel at visual synthesis but rely on slow, iterative decoding. Existing single-step distillation methods attempt to bypass this bottleneck, either by training auxiliary score networks that effectively double…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Chaoyang Wang , Yunhai Tong

For a better understanding of granular flow problems such as silo blockage, avalanche triggering, mixing and segregation, it is essential to have a `microscopic' view of individual particles. In order to cope with the difficulty arising…

Data Analysis, Statistics and Probability · Physics 2019-11-05 Felix Rech , Kai Huang

Interferometric scattering microscopy (iSCAT), as an ultrasensitive fluorescence-free imaging modality, has recently gain enormous attention and been rapidly developing from demonstration of principle to quantitative sensing. Here we report…

Experimental methods based on single particle tracking (SPT) are being increasingly employed in the physical and biological sciences, where nanoscale objects are visualized with high temporal and spatial resolution. SPT can probe…

Statistical Mechanics · Physics 2015-06-12 Denis Boyer , David S. Dean , Carlos Mejía-Monasterio , Gleb Oshanin

Diffusion policies (DP) have demonstrated significant potential in visual navigation by capturing diverse multi-modal trajectory distributions. However, standard imitation learning (IL), which most DP methods rely on for training, often…

Robotics · Computer Science 2026-02-02 Runhua Zhang , Junyi Hou , Changxu Cheng , Qiyi Chen , Tao Wang , Wuyue Zhao

Ion computed tomography (iCT) is an imaging modality for the direct determination of the relative stopping power (RSP) distribution within a patient's body. Usually, this is done by estimating the path and energy loss of ions traversing the…