4 citations · 8 across the 8 of their papers we have counts for
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cs.CV2026
One-shot federated unsupervised domain adaptation with Smoothed Knowledge Distillation and teacher refinement
Ali Abedi, Q. M. Jonathan Wu, Ning Zhang +1
Federated unsupervised domain adaptation (FUDA) addresses the challenge of adapting models to an unlabeled target domain using decentralized source domains while preserving data pr…
cs.CV2026
Towards Automatic Video Annotation with ASH: Zero-Shot Open-Vocabulary Multi-Object Tracking and Segmentation
Arash Rocky, Q. M. Jonathan Wu
Memory-attention-based Video Instance Segmentation (VIS) methods have demonstrated strong zero-shot tracking capability, yet their substantial memory requirements confine them to s…