Evaluation of Triple-Stream Convolutional Networks for Action Recognition. - Dichao Liu; Yu Wang 018; Jien Kato (DICTA, 2017)

Supervised Spatial Transformer Networks for Attention Learning in Fine-grained Action Recognition. - Dichao Liu; Yu Wang 018; Jien Kato (VISIGRAPP (4: VISAPP), 2019)

Attention-Guided Spatial Transformer Networks for Fine-Grained Visual Recognition. - Dichao Liu; Yu Wang 018; Jien Kato (IEICE Trans. Inf. Syst., 2019)

Contrastively-reinforced Attention Convolutional Neural Network for Fine-grained Image Recognition. - Dichao Liu; Yu Wang 018; Jien Kato; Kenji Mase (BMVC, 2020)

Attention-Based Multi-Task Learning For Fine-Grained Image Classification. - Dichao Liu; Yu Wang 018; Kenji Mase; Jien Kato (ICIP, 2021)

TML: A Triple-Wise Multi-Task Learning Framework for Distracted Driver Recognition. - Dichao Liu; Toshihiko Yamasaki; Yu Wang 018; Kenji Mase; Jien Kato (IEEE Access, 2021)

Recursive Multi-Scale Channel-Spatial Attention for Fine-Grained Image Classification. - Dichao Liu; Yu Wang 018; Kenji Mase; Jien Kato (IEICE Trans. Inf. Syst., 2022)

Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer. - Dichao Liu; Toshihiko Yamasaki; Yu Wang 018; Kenji Mase; Jien Kato (IEEE Trans. Intell. Transp. Syst., 2023)

Learn from each other to Classify better: Cross-layer mutual attention learning for fine-grained visual classification. - Dichao Liu; Longjiao Zhao; Yu Wang 018; Jien Kato (Pattern Recognit., 2023)

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography. - Pengyu Dai; Yafei Ou; Yuqiao Yang; Dichao Liu; Masahiro Hashimoto; Masahiro Jinzaki; Mototaka Miyake; Kenji Suzuki 001 (MICCAI (11), 2024)

Progressive Multi-Task Anti-Noise Learning and Distilling Frameworks for Fine-Grained Vehicle Recognition. - Dichao Liu (IEEE Trans. Intell. Transp. Syst., 2024)

MT-ASM: a multi-task attention strengthening model for fine-grained object recognition. - Dichao Liu; Yu Wang 018; Kenji Mase; Jien Kato (Multim. Syst., 2024)