44 citations · 69 across the 21 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023★ 1 cited
Modality-Agnostic Debiasing for Single Domain Generalization
Sanqing Qu, Yingwei Pan, Guang Chen +3
Deep neural networks (DNNs) usually fail to generalize well to outside of distribution (OOD) data, especially in the extreme case of single domain generalization (single-DG) that t…
cs.CV2023★ 1 cited
Upcycling Models under Domain and Category Shift
Sanqing Qu, Tianpei Zou, Florian Roehrbein +4
Deep neural networks (DNNs) often perform poorly in the presence of domain shift and category shift. How to upcycle DNNs and adapt them to the target task remains an important open…
cs.CV2023★ 1 cited
TMA: Temporal Motion Aggregation for Event-based Optical Flow
Haotian Liu, Guang Chen, Sanqing Qu +4
Event cameras have the ability to record continuous and detailed trajectories of objects with high temporal resolution, thereby providing intuitive motion cues for optical flow est…