11 accepted papers
Arbitrary-Oriented Object Detection (AOOD) has found broad applications in embodied intelligence, autonomous driving, and satellite remote sensing. However, current AOOD frameworks face challenges in ineffective feature extraction and orientation regression inaccuracy. Inspired by Hilbert curve
This paper introduces a novel approach for efficiently planning collision-free optimal trajectories for multiple tractor-trailer vehicles (TTVs) in environments with dense obstacles. The approach employs a hierarchical planning strategy to generate the initial homotopy path: at the higher level, it
In recent years, numerous Time Series Anomaly Detection methods have emerged, focusing primarily on detecting anomalies within time series, with limited work on open set recognition. In real-world scenarios, obtaining anomaly data is challenging. We can acquire a limited number of samples representi…
The long-tail problem in sequential recommender systems stems from imbalanced interaction data, resulting in suboptimal model performance for tail users and items. Recent studies have leveraged head data to enhance tail data for diminish the impact of the long-tail problem. However, these methods of…
While LiDAR and cameras are becoming ubiquitous for unmanned aerial vehicles (UAVs) but can be ineffective in challenging environments, 4D millimeter-wave (MMW) radars that can provide robust 3D ranging and Doppler velocity measurements are less exploited for aerial navigation. In this paper, we dev
Differential microphone arrays (DMAs) can measure both the acoustic pressure field and the differential acoustic pressure fields, which gives them great advantages in a wide range of applications for acoustic and speech signal acquisition. The core component of DMAs is the so-called differential bea…
Recently, the tool-use Large Language Models (LLMs) that integrate with external Python interpreters have significantly enhanced mathematical reasoning capabilities for open-source LLMs. However, these models fall short in demonstrating the calculation process, which compromises user-friendliness an…
This paper studies the problem of designing square differential microphone arrays (SDMAs). It presents a multistage approach, which first divides an SDMA composed of M <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> microphones into (M − 1) <sup…
Frequency-invariant beamforming with circular microphone arrays (CMAs) has drawn a significant amount of attention for its steering flexibility and high directivity. However, frequency-invariant beam-forming with CMAs often suffers from the so-called null problem, which is caused by the zeros of the…
Collaborative classification of hyperspectral imagery (HSI) and light detection and ranging (LiDAR) data is investigated using effective hierarchical random walk networks, denoted as HRWN. The proposed HRWN jointly optimizes dual-tunnel CNN, pixelwise affinity and seeds map via a novel random walk l…
Small aperture circular microphone arrays (CMAs) have been widely used in many applications such as teleconferencing, smartspeakers, and robotics. A critical component of such arrays is the differential beamformer, which can achieve relatively high spatial gains with the same beampatterns at most fr…