Finding quantitative descriptors representing the microstructural features of a given material
is an ongoing research area in the paradigm of Materials-by-Design. Historically, the …

Al2O3 deposited via atomic layer deposition (ALD) has been used as an insulating and
barrier film for thin-film transistors, organic electronics, and microelectromechanical systems …

The urgency for carbon neutrality is driving the need for cost‐effective Carbon Capture and
Conversion (iCCC) technology, but the lack of a unified platform for capture, release, and the …

The self-attention mechanism is crucial for enhancing various backbone neural networks'
performance. However, current methods add self-attention modules (SAMs) to each network …

We investigate a fundamental aspect of machine vision: the measurement of features by
revisiting clustering one of the most classic approaches in machine learning and data …

RGBT object tracking is widely used due to the complementary nature of RGB and TIR
modalities. However, RGBT trackers based on Transformer or CNN face significant …

The performance of visual question answering (VQA) has witnessed great progress over the
last few years. However, many current VQA models tend to rely on superficial linguistic …

Abstract Human Action Recognition (HAR) is a challenging domain in computer vision,
involving recognizing complex patterns by analyzing the spatiotemporal dynamics of …

Domain adaptive detection aims to improve the generalization of detectors on target domain.
To reduce discrepancy in feature distributions between two domains, recent approaches …

We propose a concise and consistent network focusing on multi-task learning of Referring
Expression Comprehension (REC) and Segmentation (RES) within Visual grounding (VG) …