When performing remote sensing image segmentation, practitioners often encounter various
challenges, such as a strong imbalance in the foreground–background, the presence of tiny …

Abstract Video Paragraph Captioning aims to generate a multi-sentence description of an
untrimmed video with multiple temporal event locations in a coherent storytelling. Following …

Video anomaly detection (VAD)–commonly formulated as a multiple-instance learning
problem in a weakly-supervised manner due to its labor-intensive nature–is a challenging …

Temporal action detection (TAD) involves the localization and classification of action
instances within untrimmed videos. While standard TAD follows fully supervised learning …

In this paper, we consider the problem of temporal action localization under low-shot (zero-
shot & few-shot) scenario, with the goal of detecting and classifying the action instances from …

Video anomaly event detection (VAED) is one of the key technologies in computer vision for
smart surveillance systems. With the advent of deep learning, contemporary advances in …

Detecting actions temporally in untrimmed videos is very challenging, and it accomplishes
action classification and localization simultaneously. Capturing the relations among action …

Video understanding is a growing field and a subject of intense research, which includes
many interesting tasks to understanding both spatial and temporal information, eg, action …

Weakly supervised video anomaly detection (WS-VAD) is a crucial research domain in
computer vision for the implementation of intelligent surveillance systems. Many researchers …

As climate change intensifies, the global imperative to shift towards sustainable energy
sources becomes more pronounced. Photovoltaic (PV) energy is a favored choice due to its …