5 citations · 17 across the 7 of their papers we have counts for
Showing 2023 · cs.CVShow all
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cs.CV2023★ 4 cited
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding
Yi Xin, Junlong Du, Qiang Wang +2
Large-scale pre-trained models have achieved remarkable success in various computer vision tasks. A standard approach to leverage these models is to fine-tune all model parameters…
cs.CV2023★ 5 cited
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning
Yi Xin, Junlong Du, Qiang Wang +2
Multi-Task Learning (MTL) is designed to train multiple correlated tasks simultaneously, thereby enhancing the performance of individual tasks. Typically, a multi-task network stru…
cs.CV2023★ 3 cited
Seeing in Flowing: Adapting CLIP for Action Recognition with Motion Prompts Learning
Qiang Wang, Junlong Du, Ke Yan +1
The Contrastive Language-Image Pre-training (CLIP) has recently shown remarkable generalization on "zero-shot" training and has applied to many downstream tasks. We explore the ada…