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We propose ST-DETR, a Spatio-Temporal Transformer-based architecture for object detection from a sequence of temporal frames. We treat the temporal frames as sequences in both space and time and employ the full attention mechanisms to take…

Computer Vision and Pattern Recognition · Computer Science 2021-07-27 Eslam Mohamed , Ahmad El-Sallab

Modern one-stage video instance segmentation networks suffer from two limitations. First, convolutional features are neither aligned with anchor boxes nor with ground-truth bounding boxes, reducing the mask sensitivity to spatial location.…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Minghan Li , Shuai Li , Lida Li , Lei Zhang

Optical tweezers can manipulate tiny particles. However, the distortion caused by the scattering medium restricts the applications of optical tweezers. Wavefront shaping techniques including the transmission matrix (TM) method are powerful…

Optics · Physics 2022-01-17 Kaige Liu , Hengkang Zhang , Shanshan Du , Zeqi Liu , Bin Zhang , Xing Fu , Qiang Liu

There has been considerable interest recently in the generation of azimuthal phase functions associated with photon orbital angular momentum (OAM) for high-dimensional quantum key distribution (QKD). The generation of secure quantum keys…

Quantum Physics · Physics 2015-05-13 Mark T. Gruneisen , Warner A. Miller , Raymond C. Dymale , Ayman M. Sweiti

High-quality video inpainting that completes missing regions in video frames is a promising yet challenging task. State-of-the-art approaches adopt attention models to complete a frame by searching missing contents from reference frames,…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Yanhong Zeng , Jianlong Fu , Hongyang Chao

Utilizing nonlinear interferometers for sensing with undetected light enables new sensing and imaging techniques in spectral ranges that are difficult to detect. To enhance this method for future applications, it is advantageous to extract…

Directed energy applications require the estimation of digital-holographic (DH) phase errors due to atmospheric turbulence in order to accurately focus the outgoing beam. These phase error estimates must be computed with very low latency to…

Image and Video Processing · Electrical Eng. & Systems 2023-05-08 Ali G. Sheikh , Casey J. Pellizzari , Sherman J. Kisner , Gregery T. Buzzard , Charles A. Bouman

We propose spatial polarization multiplexing (SPM) for joint sensing of shape and reflectance of a static or dynamic deformable object, which is also invisible to the naked eye. Past structured-light methods are limited to shape acquisition…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Tomoki Ichikawa , Ryo Kawahara , Ko Nishino

The recent trend in multiple object tracking (MOT) is heading towards leveraging deep learning to boost the tracking performance. In this paper, we propose a novel solution named TransSTAM, which leverages Transformer to effectively model…

Computer Vision and Pattern Recognition · Computer Science 2022-06-01 Peng Dai , Yiqiang Feng , Renliang Weng , Changshui Zhang

We report on phase-shifted holographic interferogram demodulation by singular value decomposition. Numerical processing of optically-acquired interferograms over several modulation periods was performed in two steps : 1- rendering of…

Optics · Physics 2015-05-21 Fernando Lopes , Michael Atlan

Objective: Quantitative technique based on In-line phase-contrast computed tomography with single scanning attracts more attention in application due to the flexibility of the implementation. However, the quantitative results usually suffer…

Medical Physics · Physics 2022-06-13 Suyu Liao , Shiwo Deng , Yining Zhu , Huitao Zhang , Peiping Zhu , Kai Zhang , Xing Zhao

Scanning tunnelling microscopy (STM) enables atomic-resolution imaging and atom manipulation, but its utility is often limited by tip degradation and slow serial data acquisition. Fabrication adds another layer of complexity since the tip…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Nikola L. Kolev , Tommaso Rodani , Neil J. Curson , Taylor J. Z. Stock , Alberto Cazzaniga

High-resolution lithographic techniques are often limited by low volumetric throughput, since there is no universal and scalable manufacturing process that can produce 3D metasurfaces. In this work, we demonstrate a high-speed holographic…

Over the last two decades, spatial light modulators (SLMs) have revolutionised our ability to shape optical fields. They grant independent dynamic control over thousands of degrees-of-freedom within a single light beam. In this work we test…

Spatiotemporal structured light has opened up new avenues for optics and photonics. Current spatiotemporal manipulation of light mostly relies on phase-only devices such as liquid crystal spatial light modulator to generate spatiotemporal…

Optics · Physics 2024-01-24 Qian Cao , Nianjia Zhang , Andy Chong , Qiwen Zhan

Fringe-projection profilometry with 1 camera and 1 fringe-projector is a well-known and widely used technique in optical metrology. Spatial-frequency multiplexing interferometry with several spatial-carriers having non-overlapping…

Optics · Physics 2017-02-21 Manuel Servin , Moises Padilla , Guillermo Garnica

We develop an improved phase calibration method of a reflective spatial light modulator (SLM) using interferometry by employing novel phase masks. We generate the optimised phase masks by using Iterative Fourier Transform Algorithm (IFTA)…

Optics · Physics 2022-04-26 Amar Deo Chandra , Ayan Banerjee

In this work, the experimental optical generation of the fractional Hankel-Bessel vortex beams were investigated through the holographic technique by means of computer generated holograms (CGHs) and reproduced in a spatial light modulator…

Holography plays a crucial role in optics applications, but it traditionally requires complex setup and bulky devices, being unfavourable for optics integration. While metasurface-based holograms are ultra-compact and easy to realize,…

Optics · Physics 2024-06-17 Tong Liu , Changhong Dai , Dongyi Wang , Lei Zhou

Spiking neural networks have gained significant attention due to their brain-like information processing capabilities. The use of surrogate gradients has made it possible to train spiking neural networks with backpropagation, leading to…

Neural and Evolutionary Computing · Computer Science 2023-05-24 Dongcheng Zhao , Guobin Shen , Yiting Dong , Yang Li , Yi Zeng