60 citations · 108 across the 36 of their papers we have counts for
6 papers · 1 filter
DDOS: The Drone Depth and Obstacle Segmentation Dataset
Benedikt Kolbeinsson, Krystian Mikolajczyk
The advancement of autonomous drones, essential for sectors such as remote sensing and emergency services, is hindered by the absence of training datasets that fully capture the en…
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels
Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
Collaborative inference systems are one of the emerging solutions for deploying deep neural networks (DNNs) at the wireless network edge. Their main idea is to divide a DNN into tw…
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…
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…
Features-over-the-Air: Contrastive Learning Enabled Cooperative Edge Inference
Haotian Wu, Nitish Mital, Krystian Mikolajczyk +1
We study the collaborative image retrieval problem at the wireless edge, where multiple edge devices capture images of the same object, which are then used jointly to retrieve simi…
Understanding the Role of the Projector in Knowledge Distillation
Roy Miles, Krystian Mikolajczyk
In this paper we revisit the efficacy of knowledge distillation as a function matching and metric learning problem. In doing so we verify three important design decisions, namely t…