activity
20222026
most citedLearning Muti-expert Distribution Calibration for Long-tailed Video Classification

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

math.CO2026

Maximal Lehmer Codes for Permutations with Classical and Consecutive 321-Avoidance

Andrew Beveridge, Yufan Hu, Yucheng Liu

Let and denote the sets of -permutations avoiding the classical pattern and the consecutive pattern , respectively.…

math.CO2026

Lehmer Codes and the Reverse-Complement Mapping from (32-1)-Avoiding Permutations to (3-21)-Avoiding Permutations

Andrew Beveridge, Yufan Hu, Yucheng Liu

Let and denote the sets of -permutations avoiding the vincular patterns and , respectively. Using Lehmer codes,…

cs.CV2026

NeuroClaw Technical Report

Cheng Wang, Zhibin He, Zhihao Peng +7

Agentic artificial intelligence systems promise to accelerate scientific workflows, but neuroimaging poses unique challenges: heterogeneous modalities (sMRI, fMRI, dMRI, EEG), long…

cs.CV2026

Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuition

Wen Guo, Pengfei Zhao, Zongmeng Wang +2

Multiple Object Tracking (MOT) has long been a fundamental task in computer vision, with broad applications in various real-world scenarios. However, due to distribution shifts in…

cs.CV2025

Group Orthogonal Low-Rank Adaptation for RGB-T Tracking

Zekai Shao, Yufan Hu, Jingyuan Liu +2

Parameter-efficient fine-tuning has emerged as a promising paradigm in RGB-T tracking, enabling downstream task adaptation by freezing pretrained parameters and fine-tuning only a…

cs.CV2022★ 1 cited

Learning Muti-expert Distribution Calibration for Long-tailed Video Classification

Yufan Hu, Junyu Gao, Changsheng Xu

Most existing state-of-the-art video classification methods assume that the training data obey a uniform distribution. However, video data in the real world typically exhibit an im…