119 citations · 181 across the 12 of their papers we have counts for
12 papers
Semantic-Aware Image Compressed Sensing
Bowen Zhang, Zhijin Qin, Geoffrey Ye Li
Deep learning based image compressed sensing (CS) has achieved great success. However, existing CS systems mainly adopt a fixed measurement matrix to images, ignoring the fact the…
Semantic Communications with Variable-Length Coding for Extended Reality
Bowen Zhang, Zhijin Qin, Geoffrey Ye Li
Wireless extended reality (XR) has attracted wide attentions as a promising technology to improve users' mobility and quality of experience. However, the ultra-high data rate requi…
Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric
Eivind Meyer, Maurice Brenner, Bowen Zhang +3
Heterogeneous graphs offer powerful data representations for traffic, given their ability to model the complex interaction effects among a varying number of traffic participants an…
Semantic Sensing and Communications for Ultimate Extended Reality
Bowen Zhang, Zhijin Qin, Yiyu Guo +1
As a key technology in metaversa, wireless ultimate extended reality (XR) has attracted extensive attentions from both industry and academia. However, the stringent latency and ult…
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…
CSI-fingerprinting Indoor Localization via Attention-Augmented Residual Convolutional Neural Network
Bowen Zhang, Houssem Sifaou, Geoffrey Ye Li
Deep learning has been widely adopted for channel state information (CSI)-fingerprinting indoor localization systems. These systems usually consist of two main parts, i.e., a posit…
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…
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…
Instance and Panoptic Segmentation Using Conditional Convolutions
Zhi Tian, Bowen Zhang, Hao Chen +1
We propose a simple yet effective framework for instance and panoptic segmentation, termed CondInst (conditional convolutions for instance and panoptic segmentation). In the litera…
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…
Gaze Preserving CycleGANs for Eyeglass Removal & Persistent Gaze Estimation
Akshay Rangesh, Bowen Zhang, Mohan M. Trivedi
A driver's gaze is critical for determining their attention, state, situational awareness, and readiness to take over control from partially automated vehicles. Estimating the gaze…
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…