activity
20182022
most citedSolving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth

34 citations · 40 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Context-Matched Collage Generation for Underwater Invertebrate Detection

R. Austin McEver, Bowen Zhang, B. S. Manjunath

The quality and size of training sets often limit the performance of many state of the art object detectors. However, in many scenarios, it can be difficult to collect images for t…

cs.CV20216 cited

Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation

Bowen Zhang, Yifan Liu, Zhi Tian +1

Semantic segmentation requires per-pixel prediction for a given image. Typically, the output resolution of a segmentation network is severely reduced due to the downsampling operat…

eess.IV2021

Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization

Marija Vella, Bowen Zhang, Wei Chen +1

Hyperspectral (HS) images contain detailed spectral information that has proven crucial in applications like remote sensing, surveillance, and astronomy. However, because of hardwa…

eess.SP202034 cited

Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth

Wei Chen, Bowen Zhang, Shi Jin +2

Sparse signal recovery problems from noisy linear measurements appear in many areas of wireless communications. In recent years, deep learning (DL) based approaches have attracted…

cs.CV2018

Few Shot Learning with Simplex

Bowen Zhang, Xifan Zhang, Fan Cheng +1

Deep learning has made remarkable achievement in many fields. However, learning the parameters of neural networks usually demands a large amount of labeled data. The algorithms of…