Machine and Hybrid
Intelligence Lab
Lab workspace

Three papers are accepted for publication at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Lab members contributed three papers accepted at the IEEE/CVF Winter Conference on Applications of Computer Vision.

Diagram of local data, local model training, and shared parameter updates.
Conceptual research schematic.

  1. Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation under Degradation

    Sanaz Karimijafarbigloo, Sina Ghorbani Kolahi, Reza Azad, Ulas Bagci, Dorit Merhof

  2. Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation

    Meghana Karri, Amit Soni Arya, Koushik Biswas, Nicolo Gennaro, Vedat Cicek, Gorkem Durak, Yury Velichko, Ulas Bagci

  3. Optimizing Neural Network Effectiveness via Non-monotonicity Refinement

    Koushik Biswas, Amit Reza, Meghana Karri, Debesh Jha, Hongyi Pan, Nikhil Tomar, Aliza Subedi, Smriti Regmi, Ulas Bagci

IEEE/CVF WACV 2025

wacv2025.thecvf.com