18 citations · 49 across the 5 of their papers we have counts for
5 papers
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
Chenrui Zhang, Lin Liu, Jinpeng Wang +4
As an effective tool for eliciting the power of Large Language Models (LLMs), prompting has recently demonstrated unprecedented abilities across a variety of complex tasks. To furt…
Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning
Jinpeng Wang, Yuting Gao, Ke Li +7
Self-supervised learning has shown great potentials in improving the video representation ability of deep neural networks by getting supervision from the data itself. However, some…
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion
Jinpeng Wang, Yuting Gao, Ke Li +5
One significant factor we expect the video representation learning to capture, especially in contrast with the image representation learning, is the object motion. However, we foun…
Self-supervised Temporal Discriminative Learning for Video Representation Learning
Jinpeng Wang, Yiqi Lin, Andy J. Ma +1
Temporal cues in videos provide important information for recognizing actions accurately. However, temporal-discriminative features can hardly be extracted without using an annotat…
Self-supervised learning using consistency regularization of spatio-temporal data augmentation for action recognition
Jinpeng Wang, Yiqi Lin, Andy J. Ma
Self-supervised learning has shown great potentials in improving the deep learning model in an unsupervised manner by constructing surrogate supervision signals directly from the u…