3 citations · 4 across the 5 of their papers we have counts for
6 papers
PointWalker: Mapless Quadruped Locomotion Directly From Raw LiDAR Point Clouds
Sicen Li, Zhen Chu, Chao Li +3
Quadruped robots deployed for inspection and field missions must cross heterogeneous terrain, from stairs, slopes, and gaps to high platforms, stepping stones, and balance beams, w…
SING: Semantic Image Communications using Null-Space and INN-Guided Diffusion Models
Jiakang Chen, Selim F. Yilmaz, Di You +2
Joint source-channel coding systems based on deep neural networks (DeepJSCC) have recently demonstrated remarkable performance in wireless image transmission. Existing methods prim…
Secure Deep-JSCC Against Multiple Eavesdroppers
Seyyed Amirhossein Ameli Kalkhoran, Mehdi Letafati, Ecenaz Erdemir +3
In this paper, a generalization of deep learning-aided joint source channel coding (Deep-JSCC) approach to secure communications is studied. We propose an end-to-end (E2E) learning…
Generative Joint Source-Channel Coding for Semantic Image Transmission
Ecenaz Erdemir, Tze-Yang Tung, Pier Luigi Dragotti +1
Recent works have shown that joint source-channel coding (JSCC) schemes using deep neural networks (DNNs), called DeepJSCC, provide promising results in wireless image transmission…
Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing
Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gunduz
Internet of things (IoT) devices, such as smart meters, smart speakers and activity monitors, have become highly popular thanks to the services they offer. However, in addition to…
Privacy-Aware Communication Over a Wiretap Channel with Generative Networks
Ecenaz Erdemir, Pier Luigi Dragotti, Deniz Gunduz
We study privacy-aware communication over a wiretap channel using end-to-end learning. Alice wants to transmit a source signal to Bob over a binary symmetric channel, while passive…