Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection

1 code implementation • 2 Apr 2024 • Jicheng Yuan, Anh Le-Tuan, Manfred Hauswirth, Danh Le-Phuoc

Unsupervised Domain Adaptation (UDA) has shown significant advancements in object detection under well-lit conditions; however, its performance degrades notably in low-visibility scenarios, especially at night, posing challenges not only for its adaptability in low signal-to-noise ratio (SNR) conditions but also for the reliability and efficiency of automated vehicles.

object-detection Object Detection +1

VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph

no code implementations • 24 Sep 2023 • Jicheng Yuan, Anh Le-Tuan, Manh Nguyen-Duc, Trung-Kien Tran, Manfred Hauswirth, Danh Le-Phuoc

With the integration of 30 datasets and four popular CV tasks, we demonstrate its usefulness across various scenarios when working with CV pipelines.

Benchmarking Knowledge Graphs

CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion

no code implementations • 15 Feb 2022 • Anh Le-Tuan, Manh Nguyen-Duc, Chien-Quang Le, Trung-Kien Tran, Manfred Hauswirth, Thomas Eiter, Danh Le-Phuoc

We present CQELS 2. 0, the second version of Continuous Query Evaluation over Linked Streams.

Fantastic Data and How to Query Them

1 code implementation • 13 Jan 2022 • Trung-Kien Tran, Anh Le-Tuan, Manh Nguyen-Duc, Jicheng Yuan, Danh Le-Phuoc

It is commonly acknowledged that the availability of the huge amount of (training) data is one of the most important factors for many recent advances in Artificial Intelligence (AI).