Fuzzy vector implementation on manifold embedding for head pose estimation with degraded images using fuzzy nearest distance. - Muhammad Adi Nugroho; Benyamin Kusumoputro (ICCIP, 2017)

Test-time Adaptation for Real Image Denoising via Meta-transfer Learning. - Agus Gunawan; Muhammad Adi Nugroho; Se Jin Park (CoRR, 2022)

Towards Good Practices for Missing Modality Robust Action Recognition. - Sangmin Woo; Sumin Lee; Yeonju Park; Muhammad Adi Nugroho; Changick Kim (AAAI, 2023)

Audio-Visual Glance Network for Efficient Video Recognition. - Muhammad Adi Nugroho; Sangmin Woo; Sumin Lee; Changick Kim (ICCV, 2023)

Multi-modal Social Group Activity Recognition in Panoramic Scene. - Donguk Kim; Sumin Lee; Sangmin Woo; Jinyoung Park 001; Muhammad Adi Nugroho; Changick Kim (VCIP, 2023)

AHFu-Net: Align, Hallucinate, and Fuse Network for Missing Multimodal Action Recognition. - Muhammad Adi Nugroho; Sangmin Woo; Sumin Lee; Changick Kim (VCIP, 2023)

Modality Mixer for Multi-modal Action Recognition. - Sumin Lee; Sangmin Woo; Yeonju Park; Muhammad Adi Nugroho; Changick Kim (WACV, 2023)

Cross-modal alignment and translation for missing modality action recognition. - Yeonju Park; Sangmin Woo; Sumin Lee; Muhammad Adi Nugroho; Changick Kim (Comput. Vis. Image Underst., 2023)

Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition. - Muhammad Adi Nugroho; Sangmin Woo; Sumin Lee; Jinyoung Park 001; Yooseung Wang; Donguk Kim; Changick Kim (ECCV (48), 2024)

Anchoring Vision and Language Knowledge for Weakly Supervised Group Activity Recognition. - Muhammad Adi Nugroho; Jinyoung Park 001; Donguk Kim; Changick Kim (VCIP, 2024)

Modality mixer exploiting complementary information for multi-modal action recognition. - Sumin Lee; Sangmin Woo; Muhammad Adi Nugroho; Changick Kim (Comput. Vis. Image Underst., 2025)