Tommi Kärkkäinen — accepted AI-conference papers

2026

Virtual Immunohistochemistry Staining with Dual-Aligned Multi-Task Feature Guidance

Shigeng Xie, Hongming Xu, Guiyang Jiang, Tuomo Rossi, Tommi Kärkkäinen, Fengyu Cong

CVPR 2026

In hematoxylin-eosin (H&E) to virtual immunohistochemistry (IHC) staining, paired images enable supervised learning but suffer from inherent spatial dislocation, limiting pixel-level constraints. Thus, auxiliary tasks have been increasingly employed with paired data to provide complementary supervis

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2023

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu +4

ICLR 2023poster

Transformers have quickly shined in the computer vision world since the emergence of Vision Transformers (ViTs). The dominant role of convolutional neural networks (CNNs) seems to be challenged by increasingly effective transformer-based models. Very recently, a couple of advanced convolutional mode…

Cited by 246 Source ↗PDF ↗code ↗Scholar ↗