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๐Ÿ” daejin choi ๐Ÿ“‚ Engineering
Showing 55 results for "daejin choi" in Engineering
Engineering Preprint PDF DOI

Tiered Super-Moore's Law: Price Evolution, Production Frontiers, and Market Competition in Large Language Model Inference Services

Mingdeng Du ยท 2026

This paper provides the first systematic economic analysis of token pricing in the large language model (LLM) inference market. Assembling a novel dataset integrating OpenRouter API data (318 models),โ€ฆ

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Engineering Preprint PDF DOI

CHOP: Counterfactual Human Preference Labels Improve Obstacle Avoidance in Visuomotor Navigation Policies

Gershom Seneviratne, Jianyu An, Vaibhav Shende, Sahire Ellahy, Yaxita Amin, Kondapi Manasanjani, Samarth Chopra, Jonathan Deepak Kannan, Dinesh Manocha ยท 2026

Visuomotor navigation policies have shown strong perception-action coupling for embodied agents, yet they often struggle with safe navigation and dynamic obstacle avoidance in complex real-world envirโ€ฆ

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Engineering Preprint PDF DOI

Pro-HOI: Perceptive Root-guided Humanoid-Object Interaction

Yuhang Lin, Jiyuan Shi, Dewei Wang, Jipeng Kong, Yong Liu, Chenjia Bai, Xuelong Li ยท 2026

Executing reliable Humanoid-Object Interaction (HOI) tasks for humanoid robots is hindered by the lack of generalized control interfaces and robust closed-loop perception mechanisms. In this work, we โ€ฆ

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Engineering Preprint PDF DOI

Learning Whole-Body Human-Humanoid Interaction from Human-Human Demonstrations

Wei-Jin Huang, Yue-Yi Zhang, Yi-Lin Wei, Zhi-Wei Xia, Juantao Tan, Yuan-Ming Li, Zhilin Zhao, Wei-Shi Zheng ยท 2026

Enabling humanoid robots to physically interact with humans is a critical frontier, but progress is hindered by the scarcity of high-quality Human-Humanoid Interaction (HHoI) data. While leveraging abโ€ฆ

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Engineering Preprint PDF DOI

Hoi! - A Multimodal Dataset for Force-Grounded, Cross-View Articulated Manipulation

Tim Engelbracht, Rene Zurbrugg, Matteo Wohlrapp, Martin Buchner, Abhinav Valada, Marc Pollefeys, Hermann Blum, Zuria Bauer ยท 2025

We present a dataset for force-grounded, cross-view articulated manipulation that couples what is seen with what is done and what is felt during real human interaction. The dataset contains 3048 sequeโ€ฆ

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Engineering Preprint PDF DOI

Periodic robust robotic rock chop via virtual model control

Yi Zhang, Fumiya Iida, Fulvio Forni ยท 2025

Robotic cutting is a challenging contact-rich manipulation task where the robot must simultaneously negotiate unknown object mechanics, large contact forces, and precise motion requirements. We introdโ€ฆ

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Engineering Preprint PDF DOI

Localized kernel method for separation of linear chirps

Eric Mason, Sippanon Kitimoon, Hrushikesh Mhaskar ยท 2025

The task of separating a superposition of signals into its individual components is a common challenge encountered in various signal processing applications, especially in domains such as audio and raโ€ฆ

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Engineering Preprint PDF DOI

ROSAnnotator: A Web Application for ROSBag Data Analysis in Human-Robot Interaction

Yan Zhang, Haoqi Li, Ramtin Tabatabaei, Wafa Johal ยท 2025

Human-robot interaction (HRI) is an interdisciplinary field that utilises both quantitative and qualitative methods. While ROSBags, a file format within the Robot Operating System (ROS), offer an effiโ€ฆ

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Engineering Preprint PDF DOI

Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse Histopathology

Lining Yu, Mengmeng Yin, Ruining Deng, Quan Liu, Tianyuan Yao, Can Cui, Junlin Guo, Yu Wang, Yaohong Wang, Shilin Zhao, Haichun Yang, Yuankai Huo ยท 2024

Segmenting glomerular intraglomerular tissue and lesions traditionally depends on detailed morphological evaluations by expert nephropathologists, a labor-intensive process susceptible to interobserveโ€ฆ

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Engineering Preprint PDF DOI

Reconstructing MRI Parameters Using a Noncentral Chi Noise Model

Klara Bas, Christian Lambert, John Ashburner ยท 2024

Quantitative magnetic resonance imaging (qMRI) allows images to be compared across sites and time points, which is particularly important for assessing long-term conditions or for longitudinal studiesโ€ฆ

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Engineering Preprint PDF DOI

\chi-sepnet: Deep neural network for magnetic susceptibility source separation

Minjun Kim, Sooyeon Ji, Jiye Kim, Kyeongseon Min, Hwihun Jeong, Jonghyo Youn, Taechang Kim, Jinhee Jang, Berkin Bilgic, Hyeong-Geol Shin, Jongho Lee ยท 2024

Magnetic susceptibility source separation ($\chi$-separation), an advanced quantitative susceptibility mapping (QSM) method, enables the separate estimation of para- and diamagnetic susceptibility souโ€ฆ

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Engineering Preprint PDF DOI

Depth-Aware Endoscopic Video Inpainting

Francis Xiatian Zhang, Shuang Chen, Xianghua Xie, Hubert P. H. Shum ยท 2024

Video inpainting fills in corrupted video content with plausible replacements. While recent advances in endoscopic video inpainting have shown potential for enhancing the quality of endoscopic videos,โ€ฆ

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Engineering Preprint PDF DOI

CLOi-Mapper: Consistent, Lightweight, Robust, and Incremental Mapper With Embedded Systems for Commercial Robot Services

DongKi Noh, Hyungtae Lim, Gyuho Eoh, Duckyu Choi, Jeongsik Choi, Hyunjun Lim, SeungMin Baek, Hyun Myung ยท 2024

In commercial autonomous service robots with several form factors, simultaneous localization and mapping (SLAM) is an essential technology for providing proper services such as cleaning and guidance. โ€ฆ

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Engineering Preprint PDF DOI

A Port-Hamiltonian System Perspective on Electromagneto-Quasistatic Field Formulations of Darwin-Type

Markus Clemens, Marvin-Lucas Henkel, Fotios Kasolis, Michael Gunther ยท 2024

Electromagneto-quasistatic (EMQS) field formulations are often dubbed as Darwin-type field formulations which approximate the Maxwell equations by neglecting radiation effects while modelling resistivโ€ฆ

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Engineering Preprint PDF DOI

Can only LLMs do Reasoning?: Potential of Small Language Models in Task Planning

Gawon Choi, Hyemin Ahn ยท 2024

In robotics, the use of Large Language Models (LLMs) is becoming prevalent, especially for understanding human commands. In particular, LLMs are utilized as domain-agnostic task planners for high-leveโ€ฆ

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CHoKI-based MPC for blood glucose regulation in Artificial Pancreas

Beatrice Sonzogni, Jose Maria Manzano, Marco Polver, Fabio Previdi, Antonio Ferramosca ยท 2024

This work presents a Model Predictive Control (MPC) for the artificial pancreas, which is able to autonomously manage basal insulin injections in type 1 diabetic patients. Specifically, the MPC goal iโ€ฆ

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Engineering Preprint PDF DOI

Operation Scheme Optimizations to Achieve Ultra-high Endurance (1010) in Flash Memory with Robust Reliabilities

Yang Feng, Zhaohui Sun, Chengcheng Wang, Xinyi Guo, Junyao Mei, Yueran Qi, Jing Liu, Junyu Zhang, Jixuan Wu, Xuepeng Zhan, Jiezhi Chen ยท 2024

Flash memory has been widely adopted as stand-alone memory and embedded memory due to its robust reliability. However, the limited endurance obstacles its further applications in storage class memory โ€ฆ

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Engineering Preprint PDF DOI

On Chernoff Lower-Bound of Outage Threshold for Non-Central $\chi^2$-Distributed Beamforming Gain in URLLC Systems

Jinfei Wang, Yi Ma, Rahim Tafazolli, Zhibo Pang ยท 2023

The cumulative distribution function (CDF) of a non-central $\chi^2$-distributed random variable (RV) is often used when measuring the outage probability of communication systems. For ultra-reliable lโ€ฆ

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Engineering Preprint PDF DOI

Zero-Shot Duet Singing Voices Separation with Diffusion Models

Chin-Yun Yu, Emilian Postolache, Emanuele Rodola, Gyorgy Fazekas ยท 2023

In recent studies, diffusion models have shown promise as priors for solving audio inverse problems. These models allow us to sample from the posterior distribution of a target signal given an observeโ€ฆ

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Engineering Preprint PDF DOI

A human brain atlas of chi-separation for normative iron and myelin distributions

Kyeongseon Min, Beomseok Sohn, Woo Jung Kim, Chae Jung Park, Soohwa Song, Dong Hoon Shin, Kyung Won Chang, Na-Young Shin, Minjun Kim, Hyeong-Geol Shin, Phil Hyu Lee, Jongho Lee ยท 2023

Iron and myelin are primary susceptibility sources in the human brain. These substances are essential for healthy brain, and their abnormalities are often related to various neurological disorders. Reโ€ฆ

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