5 accepted papers
The field of 360-degree omnidirectional understanding has been receiving increasing attention for advancing spatial intelligence. However, the lack of large-scale and diverse data remains a major limitation. In this work, we propose AirSim360, a simulation platform for omnidirectional data from aeri
Although Multimodal Large Language Models have made remarkable progress, they still struggle with long-video understanding due to the massive memory footprint of KV Caches. Exsiting methods often resort to disjoint retrieval or attention-based static reduction to achieve compression. However, these …
Unmanned Aerial Vehicles (UAVs) are increasingly utilized across commercial, military, and public safety domains, where target tracking is crucial for imagery content analysis and various applications. This letter explores the challenges in UAV target tracking, particularly addressing deficiencies i
In this letter, we present a framework for low frame rate tracking from unmanned aerial vehicles (UAV). This is a challenging task in which the target has to be localized in a large search space. This problem is amplified by the fact that the tracked object is most often composed of a limited number
3D Morphable Model (3DMM) is a statistical tool widely employed in reconstructing 3D face shape. Existing methods are aimed at predicting 3DMM shape parameters with a single encoder but suffer from unclear distinction of different attributes. To address this problem, Two-Pathway Encoder-Decoder Netw…