14 citations · 37 across the 6 of their papers we have counts for
6 papers
EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging
Lishun Wang, Miao Cao, Xin Yuan
Video snapshot compressive imaging (SCI) uses a two-dimensional detector to capture consecutive video frames during a single exposure time. Following this, an efficient reconstruct…
Large-scale Global Low-rank Optimization for Computational Compressed Imaging
Daoyu Li, Hanwen Xu, Miao Cao +3
Computational reconstruction plays a vital role in computer vision and computational photography. Most of the conventional optimization and deep learning techniques explore local i…
Spatial-Temporal Transformer for Video Snapshot Compressive Imaging
Lishun Wang, Miao Cao, Yong Zhong +1
Video snapshot compressive imaging (SCI) captures multiple sequential video frames by a single measurement using the idea of computational imaging. The underlying principle is to m…
Field-of-View IoU for Object Detection in 360° Images
Miao Cao, Satoshi Ikehata, Kiyoharu Aizawa
360° cameras have gained popularity over the last few years. In this paper, we propose two fundamental techniques -- Field-of-View IoU (FoV-IoU) and 360Augmentation for object dete…
Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning
Dongwei Jiang, Wubo Li, Miao Cao +2
Self-supervised visual pretraining has shown significant progress recently. Among those methods, SimCLR greatly advanced the state of the art in self-supervised and semi-supervised…
A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition
Dongwei Jiang, Wubo Li, Ruixiong Zhang +5
Building a good speech recognition system usually requires large amounts of transcribed data, which is expensive to collect. To tackle this problem, many unsupervised pre-training…