6 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
ARM: Any-Time Super-Resolution Method
Bohong Chen, Mingbao Lin, Kekai Sheng +5
This paper proposes an Any-time super-Resolution Method (ARM) to tackle the over-parameterized single image super-resolution (SISR) models. Our ARM is motivated by three observatio…
cs.CV2021
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
Bohong Chen, Mingbao Lin, Rongrong Ji +1
A resource-adaptive supernet adjusts its subnets for inference to fit the dynamically available resources. In this paper, we propose prioritized subnet sampling to train a resource…
cs.CV2021★ 6 cited
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
Mingbao Lin, Bohong Chen, Fei Chao +1
The mainstream approach for filter pruning is usually either to force a hard-coded importance estimation upon a computation-heavy pretrained model to select "important" filters, or…