Tuan-Anh Yang

According to our database, Tuan-Anh Yang authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Halfway to 3D: Ensembling 2.5D and 3D Models for Robust COVID-19 CT Diagnosis.

Tuan-Anh Yang, Bao V. Q. Bui, Chanh-Quang Vo-Van, Truong-Son Hy

CoRR, March, 2026

2025

MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification.

Tuan-Anh Yang, Truong-Son Hy, Phuong D. Dao

CoRR, February, 2025

SHREC 2025: Protein surface shape retrieval including electrostatic potential.

Taher Yacoub, Camille Depenveiller, Atsushi Tatsuma, Tin Barisin, Eugen Rusakov, Udo Göbel, Yuxu Peng, Shiqiang Deng, Yuki Kagaya, Joon Hong Park, Daisuke Kihara, Marco Guerra, Giorgio Palmieri, Andrea Ranieri, Ulderico Fugacci, Silvia Biasotti, Ruiwen He, Halim Benhabiles, Adnane Cabani, Karim Hammoudi, Haotian Li, Hao Huang, Chunyan Li, Alireza Tehrani, Fanwang Meng, Farnaz Heidar-Zadeh, Tuan-Anh Yang, Matthieu Montès

Comput. Graph., 2025

The Fourth Monocular Depth Estimation Challenge.

Anton Obukhov, Matteo Poggi, Fabio Tosi, Ripudaman Singh Arora, Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden, Shuaihang Wang, Zhenxin Ma, Weijie Chen, Baobei Xu, Fengyu Sun, Di Xie, Jiang Zhu, Mykola Lavreniuk, Haining Guan, Qun Wu, Yupei Zeng, Chao Lu, Huanran Wang, GuangYuan Zhou, Haotian Zhang, Jianxiong Wang, Qiang Rao, Chunjie Wang, Xiao Liu, Zhiqiang Lou, Hualie Jiang, Yihao Chen, Rui Xu, Minglang Tan, Zihan Qin, Yifan Mao, Jiayang Liu, Jialei Xu, Yifan Yang, Wenbo Zhao, Junjun Jiang, Xianming Liu, Mingshuai Zhao, Anlong Ming, Wu Chen, Feng Xue, Mengying Yu, Shida Gao, Xiangfeng Wang, Gbenga Omotara, Ramy Farag, Jacket Demby's, Seyed Mohamad Ali Tousi, Guilherme N. DeSouza, Tuan-Anh Yang, Minh-Quang Nguyen, Thien-Phuc Tran, Albert Luginov, Muhammad Shahzad

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Mushroom for Improvement: Prototypical Few-Shot Learning with Multimodal Fungal Features.

Tuan-Anh Yang, Minh-Quang Nguyen

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

2023

SketchANIMAR: Sketch-based 3D animal fine-grained retrieval.

Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Trong-Hieu Nguyen Mau, Tuan-Luc Huynh, Thanh-Danh Le, Ngoc-Linh Nguyen-Ha, Tuong-Vy Truong-Thuy, Truong Hoai Phong, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, Hoai-Danh Vo, Minh-Hoa Doan, Hai-Dang Nguyen, Akihiro Sugimoto, Minh-Triet Tran

Comput. Graph., November, 2023

TextANIMAR: Text-based 3D animal fine-grained retrieval.

Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, E-Ro Nguyen, Minh-Khoi Nguyen-Nhat, Tuan-An To, Trung-Truc Huynh-Le, Nham-Tan Nguyen, Hoang-Chau Luong, Truong Hoai Phong, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Hai-Dang Nguyen, Akihiro Sugimoto, Minh-Triet Tran

Comput. Graph., November, 2023

Deep Learning Hierarchical Methods for Insect Pest Recognition on Plants.

Tuong-Nghiem Diep, Thien-Phuc Tran, Vinh-Phat Ho-Ngoc, Tuan-Anh Yang, Trong-Le Do

Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Optimizing Sperm Detection and Tracking in Fluids with Equalize Class Representation Augmentation.

Trong-Hieu Nguyen Mau, Quoc-Huy Trinh, Ngoc-Linh Nguyen-Ha, Tuong-Vy Truong-Thuy, Tuan-Anh Yang, Hai-Dang Nguyen, Ngoc-Thao Nguyen, Minh-Triet Tran

Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023