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20232026
most citedFrom Target Tracking to Targeting Track -- Part I: A Metric for Spatio-Temporal Trajectory Evaluation

4 citations · 6 across the 12 of their papers we have counts for

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cs.SD2025

The Multimodal Information Based Speech Processing (MISP) 2025 Challenge: Audio-Visual Diarization and Recognition

Ming Gao, Shilong Wu, Hang Chen +6

Meetings are a valuable yet challenging scenario for speech applications due to complex acoustic conditions. This paper summarizes the outcomes of the MISP 2025 Challenge, hosted a…

cs.SD2025

Determined blind source separation via modeling adjacent frequency band correlations in speech signals

Jianyu Wang, Shanzheng Guan, Zhengqiao Zhao +2

Multichannel blind source separation (MBSS), which focuses on separating signals of interest from mixed observations, has been extensively studied in acoustic and speech processing…

cs.LG2025

Joint Tensor and Inter-View Low-Rank Recovery for Incomplete Multiview Clustering

Jianyu Wang, Zhengqiao Zhao, Nicolas Dobigeon +1

Incomplete multiview clustering (IMVC) has gained significant attention for its effectiveness in handling missing sample challenges across various views in real-world multiview clu…

cs.SD2025

Determined Blind Source Separation with Sinkhorn Divergence-based Optimal Allocation of the Source Power

Jianyu Wang, Shanzheng Guan, Nicolas Dobigeon +1

Blind source separation (BSS) refers to the process of recovering multiple source signals from observations recorded by an array of sensors. Common approaches to BSS, including ind…

eess.SY2025★ 4 cited

From Target Tracking to Targeting Track -- Part I: A Metric for Spatio-Temporal Trajectory Evaluation

Tiancheng Li, Yan Song, Hongqi Fan +1

In the realm of target tracking, performance evaluation plays a pivotal role in the design, comparison, and analytics of trackers. Compared with the traditional trajectory composed…

cs.CL2025★ 1 cited

Estimating LLM Uncertainty with Evidence

Huan Ma, Jingdong Chen, Joey Tianyi Zhou +2

Over the past few years, Large Language Models (LLMs) have developed rapidly and are widely applied in various domains. However, LLMs face the issue of hallucinations, generating r…