Robot Instance Segmentation with Few Annotations for Grasping
Published in WACV 2025, 2025
We improve perception for robotic grasping with temporal and identification consistency
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Publications
You can also find my articles on my Google Scholar profile.
No Data, No Optimization: A Lightweight Method To Disrupt Neural Networks With Sign-Flips
Published in Preprint, 2024
Disrupt NN with extremly simple method and few bit flips
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Hysteresis Activation Function for Efficient Inference
Published in Preprint, 2024
Accelerate DNN (CNN, Transformers) by replacing the activision function and compencate for the dying ReLU
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Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods
Published in Preprint, 2024
Improve ICL capabilities with optimization, lighter then prompt tuning
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Noisy Annotations in Semantic Segmentation
Published in Preprint, 2024
Explore the effects of label noise in segmentation datasets, with real and syntetic data
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Semi-Supervised Semantic Segmentation via Marginal Contextual Information
Published in Transactions on Machine Learning Research (06/2024), 2024
We refine pseudo-labeling process for semantic segmentation task using contextual information
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AMED: Automatic Mixed-Precision Quantization for Edge Devices
Published in Mathematics 12 (12), 2023
This work look at quantization of neural network as a markov decision process
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Bimodal Distributed Binarized Neural Networks
Published in Mathematics 10 (21), 2022
In this work, we propose bimodal-distributed binarization method, for better create binary neural networks
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