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 …

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 …

As the negative impact of climate change escalates, the global necessity to transition to
sustainable energy sources becomes increasingly evident. Renewable energies have …

As the impact of climate change escalates, the global necessity to transition to sustainable
energy sources becomes increasingly evident. Renewable energies have emerged as a …

Social media may have been glorified as something helpful, easy and convenient but as we
all know it must have two sides of a coin. Social media does have quite a lot of bad sides …

This thesis presents a novel approach to video understanding by emulating human
perceptual processes and creating an explainable and coherent storytelling representation …

In the task of captioning multiple events in video content, traditional models using self-
attention mechanisms often suffer from the problem of missing fine-grained visual semantic …

This thesis introduces a novel approach to Photovoltaic (PV) installation segmentation by
proposing a new architecture to understand and identify PV modules from overhead …