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20162026
most citedPN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors

154 citations · 605 across the 50 of their papers we have counts for

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Showing cs.ITShow all

8 papers · 1 filter

cs.IT2024

MIMO Channel as a Neural Function: Implicit Neural Representations for Extreme CSI Compression in Massive MIMO Systems

Haotian Wu, Maojun Zhang, Yulin Shao +2

Acquiring and utilizing accurate channel state information (CSI) can significantly improve transmission performance, thereby holding a crucial role in realizing the potential advan…

cs.IT2023★ 3 cited

Deep Joint Source-Channel Coding for Adaptive Image Transmission over MIMO Channels

Haotian Wu, Yulin Shao, Chenghong Bian +2

This paper introduces a vision transformer (ViT)-based deep joint source and channel coding (DeepJSCC) scheme for wireless image transmission over multiple-input multiple-output (M…

cs.IT2023★ 3 cited

Transformer-aided Wireless Image Transmission with Channel Feedback

Haotian Wu, Yulin Shao, Emre Ozfatura +2

This paper presents a novel wireless image transmission paradigm that can exploit feedback from the receiver, called DeepJSCC-ViT-f. We consider a block feedback channel model, whe…

cs.IT2022

Vision Transformer for Adaptive Image Transmission over MIMO Channels

Haotian Wu, Yulin Shao, Chenghong Bian +2

This paper presents a vision transformer (ViT) based joint source and channel coding (JSCC) scheme for wireless image transmission over multiple-input multiple-output (MIMO) system…

cs.IT2022★ 78 cited

Channel-Adaptive Wireless Image Transmission with OFDM

Haotian Wu, Yulin Shao, Krystian Mikolajczyk +1

We present a learning-based channel-adaptive joint source and channel coding (CA-JSCC) scheme for wireless image transmission over multipath fading channels. The proposed method is…

cs.IT2020

Wireless Image Retrieval at the Edge

Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk

We study the image retrieval problem at the wireless edge, where an edge device captures an image, which is then used to retrieve similar images from an edge server. These can be i…

cs.IT2020★ 101 cited

Joint Device-Edge Inference over Wireless Links with Pruning

Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk

We propose a joint feature compression and transmission scheme for efficient inference at the wireless network edge. Our goal is to enable efficient and reliable inference at the e…

cs.IT2019★ 62 cited

Deep Joint Source-Channel Coding for Wireless Image Retrieval

Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk

Motivated by surveillance applications with wireless cameras or drones, we consider the problem of image retrieval over a wireless channel. Conventional systems apply lossy compres…