Michal Szczepanski

Orcid: 0009-0000-9061-4396

According to our database1, Michal Szczepanski authored at least 8 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SVD-Prune: Training-Free Token Pruning For Efficient Vision-Language Models.
CoRR, April, 2026

Where Do Tokens Go? Understanding Pruning Behaviors in STEP at High Resolutions.
SN Comput. Sci., February, 2026

Are Superpixels the Missing Ingredient for Robust ViT Pruning?
Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

G2TM: Single-Module Graph-Guided Token Merging for Efficient Semantic Segmentation.
Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

2025
I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation.
CoRR, September, 2025

STEP: SuperToken and Early-Pruning for Efficient Semantic Segmentation.
Proceedings of the 20th International Joint Conference on Computer Vision, 2025

J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2025

2019
Online stereo camera calibration on embedded systems. (Calibrage en ligne des caméras stéréo sur les systèmes embarqués).
PhD thesis, 2019


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