7 accepted papers
Monocular visual odometry (VO) is accurate in controlled settings yet drifts sharply under aggressive motion and sensor noise. We offer a fundamental rethinking of VO robustness as a training-schedule problem rather than an architectural challenge, introducing a novel dual-paradigm curriculum learni…
Monocular visual odometry (VO) is accurate in controlled settings yet drifts sharply under aggressive motion and sensor noise. We offer a fundamental rethinking of VO robustness as a training-schedule problem rather than an architectural challenge, introducing a novel dual-paradigm curriculum learni
Audio inpainting seeks to restore missing segments in degraded recordings. Previous diffusion-based methods exhibit impaired performance when the missing region is large. We introduce the first approach that applies discrete diffusion over tokenized music representations from a pre-trained audio tok…
Recommender systems play a pivotal role in providing relevant content to users. With the rapid development of large language models (LLMs), researchers have begun utilizing LLMs to build more powerful recommender systems. However, existing approaches that focus on aligning LLMs with recommendation t…
In this paper, we address the challenge of exploring unknown indoor environments using autonomous aerial robots with Size Weight and Power (SWaP) constraints. The SWaP constraints induce limits on mission time requiring efficiency in exploration. We present a novel exploration framework that uses De…
We suggest the first system that runs real-time semantic segmentation via deep learning on the weak microcomputer Raspberry Pi Zero v2 (whose price was 15) attached to a toy drone. In particular, since the Raspberry Pi weighs less than 16 grams, and its size is half of a credit card, we could easily…
The challenge of mapping indoor environments is addressed. Typical heuristic algorithms for solving the motion planning problem are frontier-based methods, that are especially effective when the environment is completely unknown. However, in cases where prior statistical data on the environment's ar…