Current object pose estimation research remains predominantly model-centric, focusing on architectural innovations and post-processing refinements. This paper introduces a data-centric optimization by proposing a novel, physically grounded rotation representation through principal axes alignment. Our method aligns the...
Wei Chen, Tao Zhen, Zhongchen Shi et al.· 0 citations
Iris recognition in unconstrained near-eye scenarios faces significant challenges due to off-axis gaze and occlusions, where traditional geometry-dependent pipelines relying on explicit segmentation become fragile. To address this limitation, we propose DF-Iris, an end-to-end framework that reformulates recognition fro...
Xiaodong Wang, Xiao-Wei Bai, Liang Xie et al.· IEEE Transactions on Informa...· 0 citations
Egocentric gaze tracking is essential for immersive interaction on head-mounted displays (HMDs). However, existing studies typically assume a fixed and tightly fitted headset placement, overlooking the inevitable HMD slippage under real-world conditions. Although several datasets with variable wearing positions have be...
Ying-Xi Li, Xiao-Wei Bai, Liang Xie et al.· IEEE Transactions on Pattern...· 0 citations
This work proposes Event-Causal RAG, a lightweight retrieval-augmented framework for ultra-long and streaming video reasoning and introduces ECV-1H, an hour-scale long-video QA benchmark dedicated to directed event-causal reasoning, with all source videos exceeding one hour.
P. Yan, Yu Zhao, Liang Xie et al.· arXiv.org· 0 citations
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