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researcher

Miloš Daković

6 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.IT2
  • eess.SP1
ORCID 0000-0002-3317-3632

identity via Semantic Scholar / OpenAlex

activity
20142024
most citedReconstruction of Randomly Sampled Sparse Signals Using an Adaptive Gradient Algorithm

5 citations · 6 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2024

Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks

Xuran Hu, Mingzhe Zhu, Zhenpeng Feng +2

The inherent "black box" nature of deep neural networks (DNNs) compromises their transparency and reliability. Recently, explainable AI (XAI) has garnered increasing attention from…

cs.CV2023

Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification

Zhenpeng Feng, Hongbing Ji, Milos Dakovic +3

Despite the tremendous success of convolutional neural networks (CNNs) in computer vision, the mechanism of CNNs still lacks clear interpretation. Currently, class activation mappi…

cs.CV2022

Analytical Interpretation of Latent Codes in InfoGAN with SAR Images

Zhenpeng Feng, Milos Dakovic, Hongbing Ji +2

Generative Adversarial Networks (GANs) can synthesize abundant photo-realistic synthetic aperture radar (SAR) images. Some recent GANs (e.g., InfoGAN), are even able to edit specif…

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