7 accepted papers
Existing place recognition descriptors developed for single-agent SLAM struggle with multi-modal LiDAR differences in collaborative SLAM. To overcome this, we propose an online place recognition method for multi-modal LiDARs. This method introduces a dual-view combination descriptor, termed DVMM, by…
With the increasing integration of AI in medical research and applications, the issue of fairness has become as critical as diagnostic accuracy. In dermatology diagnosis, the challenge of class-imbalanced data, which is sometimes limited and contains demographic attributes, results in an imbalanced
The Audio-Visual Video Parsing task aims to recognize and temporally localize all events occurring in either the audio or visual stream, or both. Capturing accurate event semantics for each audio/visual segment is vital. Prior works directly utilize the extracted holistic audio and visual features f…
The Audio-Visual Video Parsing task aims to recognize events occurring in video segments for each modality. Presently, the excellent performance in handling video parsing is shown by generating pseudo labels at the segment level. However, these approaches still suffer from adequate semantic learning…
Online control design using a high-fidelity, full-order model for a bipedal robot can be challenging due to the size of the state space of the model. A commonly adopted solution to overcome this challenge is to approximate the fullorder model (anchor) with a simplified, reduced-order model (template…
Human cognition is supported by the combination of multimodal information from different sources of perception. The two most important modalities are visual and audio. Cross-modal visual-audio generation enables the synthesis of data from one modality following the acquisition of data from another.…
This paper presents an algorithm which can generate live digtial surface model (DSM) during the flight based on simultaneous localization and mapping (SLAM). We process the keyframe which is output by a monocular SLAM system to generate a local DSM, and fuse the local DSM to the global tiled DSM inc…