Evaluating Feature Importance for Object Classification in Visual Surveillance. - Masamitsu Tsuchiya; Hironobu Fujiyoshi (ICPR (2), 2006)

A method of feature selection using contribution ratio based on boosting. - Masamitsu Tsuchiya; Hironobu Fujiyoshi (ICPR, 2008)

Hybrid Transfer Learning for Efficient Learning in Object Detection. - Masamitsu Tsuchiya; Yuji Yamauchi; Hironobu Fujiyoshi; Takayoshi Yamashita (ACPR, 2013)

Boosted Random Forest. - Yohei Mishina; Masamitsu Tsuchiya; Hironobu Fujiyoshi (VISAPP (2), 2014)

Transfer forest based on covariate shift. - Masamitsu Tsuchiya; Yuji Yamauchi; Takayoshi Yamashita; Hironobu Fujiyoshi (ACPR, 2015)

Autonomous Emergency Steering Using Deep Reinforcement Learning For Advanced Driver Assistance System. - Misako Yoshimura; Gakuyo Fujimoto; Abinav Kaushik; Bharat Kumar Padi; Matthew Dennison; Ishaan Sood; Kinsuk Sarkar; Abdul Muneer; Amit More; Masamitsu Tsuchiya; Satoru Araki; Anil Hebber; et al. (SICE, 2020)

Channel-wise Motion Features for Efficient Motion Segmentation. - Riku Inoue; Masamitsu Tsuchiya; Yuji Yasui (IROS, 2024)

Vision-based hybrid object tracking for autonomous vehicles. - Hsiu-Min Chuang; Masamitsu Tsuchiya; Satoru Araki; Riku Inoue; Tokitomo Ariyoshi; Yuji Yasui (IV, 2024)

Decoupled PROB: Decoupled Query Initialization Tasks and Objectness-Class Learning for Open World Object Detection. - Riku Inoue; Masamitsu Tsuchiya; Yuji Yasui (WACV, 2025)