no code implementations • 28 Apr 2024 • YuHan Liu, Yongjian Deng, Hao Chen, Bochen Xie, Youfu Li, Zhen Yang
Moreover, given that event data can provide accurate visual references at scene edges between consecutive frames, we introduce a learned visibility map derived from event data to adaptively mitigate the occlusion problem in the warping refinement process.
no code implementations • 7 Mar 2023 • Bochen Xie, Yongjian Deng, Zhanpeng Shao, Hai Liu, Qingsong Xu, Youfu Li
To fit the sparse nature of events and sufficiently explore the relationship between them, we develop a novel attention-aware model named Event Voxel Set Transformer (EVSTr) for spatiotemporal representation learning on event streams.
no code implementations • 8 Feb 2023 • Yongjian Deng, Hao Chen, Bochen Xie, Hai Liu, Youfu Li
Recent advances in event-based research prioritize sparsity and temporal precision.
1 code implementation • CVPR 2023 • Cheng Zhang, Hai Liu, Yongjian Deng, Bochen Xie, Youfu Li
To leverage the observed findings, we propose a novel critical minority relationship-aware method based on the Transformer architecture in which the facial part relationships can be learned.
no code implementations • TIP 2022 • Hai Liu, Cheng Zhang, Yongjian Deng, Bochen Xie, Tingting Liu, Zhaoli Zhang, You-Fu Li
To this end, two novel modules are proposed to leverage the characteristics of bird images, namely, the hierarchy stage feature aggregation (HSFA) module and the feature in feature abstraction (FFA) module.
Ranked #8 on Fine-Grained Image Classification on NABirds