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“Navigate” 태그가 달린 논문 1,982편 · 필터 해제

Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios

2025-07-16 · Van-Hoang-Anh Phan, Chi-Tam Nguyen, Doan-Trung Au, Thanh-Danh Phan 외

Obstacle avoidance is essential for ensuring the safety of autonomous vehicles. Accurate perception and motion planning are crucial to enabling vehicles to navigate complex environments while avoiding collisions. In this…

Autonomous NavigationAutonomous VehiclesDepth EstimationMonocular Depth Estimation+4

CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking

2025-07-15 · Yuehao Huang, Liang Liu, Shuangming Lei, Yukai Ma 외

Mobile robots are increasingly required to navigate and interact within unknown and unstructured environments to meet human demands. Demand-driven navigation (DDN) enables robots to identify and locate objects based on i…

Decision MakingNavigate

Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation

2025-07-14 · Seyed Alireza Rahimi Azghadi, Truong-Thanh-Hung Nguyen, Helene Fournier, Monica Wachowicz 외

The aging population is growing rapidly, and so is the danger of falls in older adults. A major cause of injury is falling, and detection in time can greatly save medical expenses and recovery time. However, to provide t…

Federated LearningIndoor LocalizationNavigatePrivacy Preserving

Automating MD simulations for Proteins using Large language Models: NAMD-Agent

2025-07-10 · Achuth Chandrasekhar, Amir Barati Farimani

Molecular dynamics simulations are an essential tool in understanding protein structure, dynamics, and function at the atomic level. However, preparing high quality input files for MD simulations can be a time consuming …

Code GenerationNavigate

Graph Learning

2025-07-08 · Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto 외

Graph learning has rapidly evolved into a critical subfield of machine learning and artificial intelligence (AI). Its development began with early graph-theoretic methods, gaining significant momentum with the advent of …

Drug DiscoveryFairnessFraud DetectionGraph Learning+2

Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions

2025-07-06 · Konstantinos Foteinos, Jorgen Cani, Manousos Linardakis, Panagiotis Radoglou-Grammatikis 외

The rapid evolution of deep learning (DL) models and the ever-increasing size of available datasets have raised the interest of the research community in the always important field of vision-based hand gesture recognitio…

Gesture RecognitionHand Gesture RecognitionHand-Gesture RecognitionNavigate+1

STRUCTSENSE: A Task-Agnostic Agentic Framework for Structured Information Extraction with Human-In-The-Loop Evaluation and Benchmarking

2025-07-04 · Tek Raj Chhetri, Yibei Chen, Puja Trivedi, Dorota Jarecka 외

The ability to extract structured information from unstructured sources-such as free-text documents and scientific literature-is critical for accelerating scientific discovery and knowledge synthesis. Large Language Mode…

BenchmarkingNavigatescientific discovery

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench

2025-07-03 · Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra 외

AI research agents are demonstrating great potential to accelerate scientific progress by automating the design, implementation, and training of machine learning models. We focus on methods for improving agents' performa…

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Out-of-distribution detection in 3D applications: a review

2025-07-01 · Zizhao Li, Xueyang Kang, Joseph West, Kourosh Khoshelham

The ability to detect objects that are not prevalent in the training set is a critical capability in many 3D applications, including autonomous driving. Machine learning methods for object recognition often assume that a…

Autonomous DrivingNavigateObject RecognitionOut-of-Distribution Detection

Assessing an evolutionary search engine for small language models, prompts, and evaluation metrics

2025-06-26 · Cláudio Lúcio do Val Lopes, Lucca Machado

The concurrent optimization of language models and instructional prompts presents a significant challenge for deploying efficient and effective AI systems, particularly when balancing performance against computational co…

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The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind

2025-06-25 · Andrei Lupu, Timon Willi, Jakob Foerster

As Large Language Models (LLMs) gain agentic abilities, they will have to navigate complex multi-agent scenarios, interacting with human users and other agents in cooperative and competitive settings. This will require n…

Multi-agent Reinforcement LearningNavigate

Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine

2025-06-25 · Sebastian Joseph, Lily Chen, Barry Wei, Michael Mackert 외

Technological progress has led to concrete advancements in tasks that were regarded as challenging, such as automatic fact-checking. Interest in adopting these systems for public health and medicine has grown due to the …

Fact CheckingNavigate

TRIZ Agents: A Multi-Agent LLM Approach for TRIZ-Based Innovation

2025-06-23 · Kamil Szczepanik, Jarosław A. Chudziak

TRIZ, the Theory of Inventive Problem Solving, is a structured, knowledge-based framework for innovation and abstracting problems to find inventive solutions. However, its application is often limited by the complexity a…

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Two Sonification Methods for the MindCube

2025-06-22 · Fangzheng Liu, Lancelot Blanchard, Don D. Haddad, Joseph A. Paradiso

In this work, we explore the musical interface potential of the MindCube, an interactive device designed to study emotions. Embedding diverse sensors and input devices, this interface resembles a fidget cube toy commonly…

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VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning

2025-06-20 · Zhangyang Qi, Zhixiong Zhang, Yizhou Yu, Jiaqi Wang 외

Vision-Language Navigation (VLN) is a core challenge in embodied AI, requiring agents to navigate real-world environments using natural language instructions. Current language model-based navigation systems operate on di…

NavigateVision-Language Navigation

How to Speak to a Real Person at Singapore Airlines®: 15 Easy Methods Explained

2025-06-17 · 2025 2025 6 · sadshtt

Navigating travel plans 1--888→(364)→7561 can sometimes require a little extra assistance. Whether you’re adjusting a flight, clarifying booking details, or seeking a refund, speaking with a live person at Singapore ™️ A…

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Call To Speak To Someone At Frontier™️ Airlines Through Various Contact Options: The Ultimate Step Guide

2025-06-17 · 2025 2025 6 · lonly

Navigating travel plans 1--888→(364)→7561 can sometimes require a little extra assistance. Whether you’re adjusting a flight, clarifying booking details, or seeking a refund, speaking with a live person at Frontier ™️ Ai…

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Call To Speak To Someone At Expedia Through Various Contact Options: The Ultimate Step Guide

2025-06-17 · 2011 2025 6 · arina

Navigating travel plans 1-((888))-559-89O5 can sometimes require a little extra assistance. Whether you’re adjusting a flight, clarifying booking details, or seeking a refund, speaking with a live person at Expedia can o…

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23 Ways to Contact How Do I Talk to Someone at Expedia®: A Step-by-Step Guide

2025-06-17 · 2011 2025 6 · arina

Dial 1.888→559//8905)📞 to reach whether you're adjusting a flight, clarifying booking details, or seeking a refund, speaking with a live person at Expedia 1.888→559//8905)📞 can often be the most efficient way to resolve …

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StorySage: Conversational Autobiography Writing Powered by a Multi-Agent Framework

2025-06-17 · Shayan Talaei, Meijin Li, Kanu Grover, James Kent Hippler 외

Every individual carries a unique and personal life story shaped by their memories and experiences. However, these memories are often scattered and difficult to organize into a coherent narrative, a challenge that define…

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