activity
20162022
most citedMixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting

62 citations · 68 across the 14 of their papers we have counts for

collaborators

18 papers

eess.IV2022★ 1 cited

Pixel Relationships-based Regularizer for Retinal Vessel Image Segmentation

Lukman Hakim, Takio Kurita

The task of image segmentation is to classify each pixel in the image based on the appropriate label. Various deep learning approaches have been proposed for image segmentation tha…

cs.CV2022★ 1 cited

Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels

Huipeng Zheng, Lukman Hakim, Takio Kurita +1

The deep learning technique was used to increase the performance of single image super-resolution (SISR). However, most existing CNN-based SISR approaches primarily focus on establ…

eess.IV2022

Attention-effective multiple instance learning on weakly stem cell colony segmentation

Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan +1

The detection of induced pluripotent stem cell (iPSC) colonies often needs the precise extraction of the colony features. However, existing computerized systems relied on segmentat…

cs.CV2020★ 1 cited

q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding

Motoshi Abe, Junichi Miyao, Takio Kurita

The dimensionality reduction has been widely introduced to use the high-dimensional data for regression, classification, feature analysis, and visualization. As the one technique o…

cs.CV2020

Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN

Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita

3D Convolutional Neural Network (3D CNN) captures spatial and temporal information on 3D data such as video sequences. However, due to the convolution and pooling mechanism, the in…

cs.CV2020

Channel Planting for Deep Neural Networks using Knowledge Distillation

Kakeru Mitsuno, Yuichiro Nomura, Takio Kurita

In recent years, deeper and wider neural networks have shown excellent performance in computer vision tasks, while their enormous amount of parameters results in increased computat…