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๐Ÿ” rajeev alur ๐Ÿ“‚ Engineering
Showing 337 results for "rajeev alur" in Engineering
Engineering Preprint PDF DOI

Robustness Evaluation of a Foundation Segmentation Model Under Simulated Domain Shifts in Abdominal CT: Implications for Health Digital Twin Deployment

Sanghati Basu ยท 2026

Foundation segmentation models such as the Segment Anything Model (SAM) have demonstrated strong generalization across natural images; however, their robustness under clinically realistic medical imagโ€ฆ

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Engineering Preprint PDF DOI

Event-based SLAM Benchmark for High-Speed Maneuvers

Sheng Zhong, Junkai Niu, Guillermo Gallego, Kaizhen Sun, Yang Yi, Zhiqiang Miao, Dewen Hu, Yaonan Wang, Davide Scaramuzza, Yi Zhou ยท 2026

Event-based cameras are bio-inspired sensors with pixels that independently and asynchronously respond to brightness changes at microsecond resolution, offering the potential to handle visual tasks inโ€ฆ

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Engineering Preprint PDF DOI

VOLT: Volumetric Wide-Field Microscopy via 3D-Native Probabilistic Transport

Yetao He, Wenhan Guo, Deliang Wei, Evan Bel, Ji Yi, Yu Sun ยท 2026

Three-dimensional (3D) wide-field fluorescence microscopy is a widely used modality for volumetric imaging, but suffers from characteristic out-of-focus blur. Existing reconstruction methods either stโ€ฆ

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Engineering Preprint PDF DOI

Dual Pose-Graph Semantic Localization for Vision-Based Autonomous Drone Racing

David Perez-Saura, Miguel Fernandez-Cortizas, Alvaro J. Gaona, Pascual Campoy ยท 2026

Autonomous drone racing demands robust real-time localization under extreme conditions: high-speed flight, aggressive maneuvers, and payload-constrained platforms that often rely on a single camera foโ€ฆ

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Engineering Preprint PDF DOI

UHD Low-Light Image Enhancement via Real-Time Enhancement Methods with Clifford Information Fusion

Xiaohan Wang, Chen Wu, Dawei Zhao, Guangwei Gao, Dianjie Lu, Guijuan Zhang, Linwei Fan, Xu Lu, Shuai Wu, Hang Wei, Zhuoran Zheng ยท 2026

Considering efficiency, ultra-high-definition (UHD) low-light image restoration is extremely challenging. Existing methods based on Transformer architectures or high-dimensional complex convolutional โ€ฆ

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Engineering Preprint PDF DOI

Scale-invariant projection optimization in tomographic volumetric additive manufacturing

Seungpyo Woo, Sangyup Lee, Hayden K. Taylor ยท 2026

Tomographic volumetric additive manufacturing (TVAM) requires projection patterns that achieve high in-part fidelity while suppressing unintended exposure outside the target. We present a scale-invariโ€ฆ

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Engineering Preprint PDF DOI

TinyDEVO: Deep Event-based Visual Odometry on Ultra-low-power Multi-core Microcontrollers

Alessandro Marchei, Lorenzo Lamberti, Daniele Palossi, Luca Benini ยท 2026

A key task in embedded vision is visual odometry (VO), which estimates camera motion from visual sensors, and it is a core component in many embedded power-constrained systems, from autonomous robots โ€ฆ

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Engineering Preprint PDF DOI

Biologically Inspired Event-Based Perception and Sample-Efficient Learning for High-Speed Table Tennis Robots

Ziqi Wang, Jingyue Zhao, Xun Xiao, Jichao Yang, Yaohua Wang, Shi Xu, Lei Wang, Huadong Dai ยท 2026

Perception and decision-making in high-speed dynamic scenarios remain challenging for current robots. In contrast, humans and animals can rapidly perceive and make decisions in such environments. Takiโ€ฆ

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Engineering Preprint PDF DOI

MC-GenRef: Annotation-free mammography microcalcification segmentation with generative posterior refinement

Hyunwoo Cho, Yeeun Kwon, Min Jung Kim, Yangmo Yoo ยท 2026

Microcalcification (MC) analysis is clinically important in screening mammography because clustered puncta can be an early sign of malignancy, yet dense MC segmentation remains challenging: targets arโ€ฆ

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Engineering Preprint PDF DOI

An End-to-end Flight Control Network for High-speed UAV Obstacle Avoidance based on Event-Depth Fusion

Dikai Shang, Jingyue Zhao, Shi Xu, Nanyang Ye, Lei Wang ยท 2026

Achieving safe, high-speed autonomous flight in complex environments with static, dynamic, or mixed obstacles remains challenging, as a single perception modality is incomplete. Depth cameras are effeโ€ฆ

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Engineering Preprint PDF DOI

Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned

Maeva Guerrier, Karthik Soma, Jana Pavlasek, Giovanni Beltrame ยท 2026

Visual Navigation Models (VNMs) promise generalizable, robot navigation by learning from large-scale visual demonstrations. Despite growing real-world deployment, existing evaluations rely almost exclโ€ฆ

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Engineering Preprint PDF DOI

Language-Free Generative Editing from One Visual Example

Omar Elezabi, Eduard Zamfir, Zongwei Wu, Radu Timofte ยท 2026

Text-guided diffusion models have advanced image editing by enabling intuitive control through language. However, despite their strong capabilities, we surprisingly find that SOTA methods struggle witโ€ฆ

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Engineering Preprint PDF DOI

TRGS-SLAM: IMU-Aided Gaussian Splatting SLAM for Blurry, Rolling Shutter, and Noisy Thermal Images

Spencer Carmichael, Katherine A. Skinner ยท 2026

Thermal cameras offer several advantages for simultaneous localization and mapping (SLAM) with mobile robots: they provide a passive, low-power solution to operating in darkness, are invariant to rapiโ€ฆ

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Engineering Preprint PDF DOI

Real-Time Optical Communication Using Event-Based Vision with Moving Transmitters

Harmeet Dhillon, Pranay Katyal, Brendan Long, Rohan Walia, Matthew Cleaveland, Kevin Leahy ยท 2026

In multi-robot systems, traditional radio frequency (RF) communication struggles with contention and jamming. Optical communication offers a strong alternative. However, conventional frame-based camerโ€ฆ

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Engineering Preprint PDF DOI

Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments

Nico Messikommer, Jiaxu Xing, Leonard Bauersfeld, Marco Cannici, Elie Aljalbout, Davide Scaramuzza ยท 2026

Event cameras offer high temporal resolution and low latency, making them ideal sensors for high-speed robotic applications where conventional cameras suffer from image degradations such as motion bluโ€ฆ

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Engineering Preprint PDF DOI

Architectural Unification for Polarimetric Imaging Across Multiple Degradations

Chu Zhou, Yufei Han, Junda Liao, Linrui Dai, Wangze Xu, Art Subpa-Asa, Heng Guo, Boxin Shi, Imari Sato ยท 2026

Polarimetric imaging aims to recover polarimetric parameters, including Total Intensity (TI), Degree of Polarization (DoP), and Angle of Polarization (AoP), from captured polarized measurements. In reโ€ฆ

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Engineering Preprint PDF DOI

Real-Time Thermal-Inertial Odometry on Embedded Hardware for High-Speed GPS-Denied Flight

Austin Stone, Mark Petersen, Cammy Peterson ยท 2026

We present a real-time monocular thermal-inertial odometry system designed for high-velocity, GPS-denied flight on embedded hardware. The system fuses measurements from a FLIR Boson+ 640 longwave infrโ€ฆ

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Engineering Preprint PDF DOI

Multiresolution Adaptive Block-Coordinate Forward-Backward for Image Reconstruction

Edgar Desainte-Mareville (OCKHAM), Marion Foare (OCKHAM, CPE), Paulo Goncalves (DANTE, OCKHAM), Nelly Pustelnik (Phys-ENS), Elisa Riccietti (OCKHAM) ยท 2026

Classical first-order optimization methods for imaging inverse problems scale poorly with image resolution. Wavelet based multilevel strategies can accelerate convergence under strong blur, but their โ€ฆ

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Solving a Nonlinear Blind Inverse Problem for Tagged MRI with Physics and Deep Generative Priors

Zhangxing Bian, Shuwen Wei, Samuel W. Remedios, Junyu Chen, Aaron Carass, Blake E. Dewey, Jerry L. Prince ยท 2026

Tagged MRI enables tracking internal tissue motion non-invasively. It encodes motion by modulating anatomy with periodic tags, which deform along with tissue. However, the entanglement between anatomyโ€ฆ

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Engineering Preprint PDF DOI

Surveillance Facial Image Quality Assessment: A Multi-dimensional Dataset and Lightweight Model

Yanwei Jiang, Wei Sun, Yingjie Zhou, Xiangyang Zhu, Yuqin Cao, Jun Jia, Yunhao Li, Sijing Wu, Dandan Zhu, Xingkuo Min, Guangtao Zhai ยท 2026

Surveillance facial images are often captured under unconstrained conditions, resulting in severe quality degradation due to factors such as low resolution, motion blur, occlusion, and poor lighting. โ€ฆ

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