823 citations
- Centre National de la Recherche ScientifiqueFR48 papers
- Center for Astrophysics Harvard & SmithsonianUS42 papers
- National Institute for AstrophysicsIT40 papers
- Goddard Space Flight CenterUS39 papers
- Max Planck Institute for Extraterrestrial PhysicsDE39 papers
- University of Maryland, College ParkUS39 papers
- Osservatorio di Astrofisica e Scienza dello Spazio36 papers
- Agenzia Spaziale ItalianaIT33 papers
- Astronomical Observatory of RomeIT31 papers
- California Institute of TechnologyUS31 papers
- University of California, BerkeleyUS31 papers
- Pennsylvania State UniversityUS27 papers
10 papers · 1 filter
Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving: A Cross-Architecture Analysis
David Fernandez, Pedram MohajerAnsari, Amir Salarpour +1
Vision-language models (VLMs) are increasingly used in autonomous driving because they combine visual perception with language-based reasoning, supporting more interpretable decisi…
Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks
Pei-Yu Lin, Yidan Shen, Neville Mathew +6
Melanoma is the most lethal form of skin cancer, and early detection is critical for improving patient outcomes. Although dermoscopy combined with deep learning has advanced automa…
On the Relevance of Temporal Features for Medical Ultrasound Video Recognition
D. Hudson Smith, John Paul Lineberger, George H. Baker
Many medical ultrasound video recognition tasks involve identifying key anatomical features regardless of when they appear in the video suggesting that modeling such tasks may not…
High-throughput Cotton Phenotyping Big Data Pipeline Lambda Architecture Computer Vision Deep Neural Networks
Amanda Issac, Alireza Ebrahimi, Javad Mohammadpour Velni +1
In this study, we propose a big data pipeline for cotton bloom detection using a Lambda architecture, which enables real-time and batch processing of data. Our proposed approach le…
PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding
Peng Yin, Lingyun Xu, Ziyue Feng +2
Accurate localization on autonomous driving cars is essential for autonomy and driving safety, especially for complex urban streets and search-and-rescue subterranean environments…
In-game Residential Home Planning via Visual Context-aware Global Relation Learning
Lijuan Liu, Yin Yang, Yi Yuan +3
In this paper, we propose an effective global relation learning algorithm to recommend an appropriate location of a building unit for in-game customization of residential home comp…