16 citations · 48 across the 10 of their papers we have counts for
14 papers · 1 filter
Rethinking Minimal Sufficient Representation in Contrastive Learning
Haoqing Wang, Xun Guo, Zhi-Hong Deng +1
Contrastive learning between different views of the data achieves outstanding success in the field of self-supervised representation learning and the learned representations are us…
Semantic-aligned Fusion Transformer for One-shot Object Detection
Yizhou Zhao, Xun Guo, Yan Lu
One-shot object detection aims at detecting novel objects according to merely one given instance. With extreme data scarcity, current approaches explore various feature fusions to…
Video Instance Segmentation by Instance Flow Assembly
Xiang Li, Jinglu Wang, Xiao Li +1
Instance segmentation is a challenging task aiming at classifying and segmenting all object instances of specific classes. While two-stage box-based methods achieve top performance…
Self-Supervised Video Representation Learning with Meta-Contrastive Network
Yuanze Lin, Xun Guo, Yan Lu
Self-supervised learning has been successfully applied to pre-train video representations, which aims at efficient adaptation from pre-training domain to downstream tasks. Existing…
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
Yan Lu, Xinzhu Ma, Lei Yang +5
Geometry Projection is a powerful depth estimation method in monocular 3D object detection. It estimates depth dependent on heights, which introduces mathematical priors into the d…
SSAN: Separable Self-Attention Network for Video Representation Learning
Xudong Guo, Xun Guo, Yan Lu
Self-attention has been successfully applied to video representation learning due to the effectiveness of modeling long range dependencies. Existing approaches build the dependenci…