Publications

Highlights

**At the end of this page, you can find the full list of publications. **

Full list of publications

International conference/workshop

1. EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension
   JiaXuan Li, Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama
   IEEE Computer Vision and Pattern Recognition (CVPR), 2024
2. Persistent Test-time Adaptation in Episodic Testing Scenarios
   Trung-Hieu Hoang, Duc Minh Vo, Minh N.Do
   ArXiv
3. An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes
   Kai Katsumata, Duc Minh Vo, Hideki Nakayama
   ArXiv
4. Balancing Reconstruction and Editing Quality of GAN Inversion for Real Image Editing with StyleGAN Prior Latent Space
   Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama
   IEEE Winter Conference on Applications of Computer Vision (WACV), 2024
5. Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data
   Kai Katsumata, Duc Minh Vo, Tatsuya Harada, Hideki Nakayama
   IEEE Winter Conference on Applications of Computer Vision (WACV), 2024
6. Label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data
   Kai Katsumata, Duc Minh Vo, Hideki Nakayama
   IEEE Winter Conference on Applications of Computer Vision (WACV), 2024
7. Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts
   Jiaxuan Li, Duc Minh Vo, Hideki Nakayama
   International Conference on Computer Vision (ICCV), 2023
8. Revisiting Latent Space of GAN Inversion for Robust Real Image Editing
   Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama
   AI for Content Creation Workshop @CVPR, 2023
9. A-CAP: Anticipation Captioning with Commonsense Knowledge
   Duc Minh Vo, Quoc-An Luong, Akihiro Sugimoto, Hideki Nakayama
   IEEE Computer Vision and Pattern Recognition (CVPR), 2023
10. Indirect Adversarial Losses via an Intermediate Distribution for Training GANs
    Rui Yang, Duc Minh Vo, Hideki Nakayama
    IEEE Winter Conference on Applications of Computer Vision (WACV), 2023
11. StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning
    Hong Chen, Duc Minh Vo, Hiroya Takamura, Yusuke Miyao, Hideki Nakayama
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
12. NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge
    Duc Minh Vo, Hong Chen, Akihiro Sugimoto, Hideki Nakayama
    IEEE Computer Vision and Pattern Recognition (CVPR), 2022
13. OSSGAN: Open-Set Semi-Supervised Image Generation
    Kai Katsumata, Duc Minh Vo, Hideki Nakayama
    EEE Computer Vision and Pattern Recognition (CVPR), 2022
14. PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression
    Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama
    IEEE Winter Conference on Applications of Computer Vision (WACV), 2022
15. Saliency based Subject Selection for Diverse Image Captioning
    Quoc-An Luong, Duc Minh Vo, Akihiro Sugimoto
    17th International Conference on Machine Vision Applications , 2021
16. Visual-Relation Conscious Image Generation from Structured-Text
    Duc Minh Vo, Akihiro Sugimoto
    European Conference on Computer Vision (ECCV), 2020
17. Stylized-Colorization for Line Arts
    Tzu-Ting Fang, Duc Minh Vo, Akihiro Sugimoto, Shang-Hong Lai
    25th International Conference on Pattern Recognition (ICPR), 2020
18. Paired-D GAN for Semantic Image Synthesis
    Duc Minh Vo, Akihiro Sugimoto
    Asian Conference on Computer Vision (ACCV), 2018
19. Balancing Content and Style with Two-Stream FCNs for Style Transfer
    Duc Minh Vo, Trung-Nghia Le, Akihiro Sugimoto
    IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
20. Facial Expression Recognition by Re-ranking with Global and Local Generic Features
    Duc Minh Vo, Akihiro Sugimoto, Thai Hoang Le
    23rd International Conference on Pattern Recognition (ICPR), 2016

Domestic conference/workshop

1. Improving the Robustness of 3D Human Pose Estimation: A Benchmark Dataset and Learning from Noisy Input
   Trung-Hieu Hoang, Mona Zehn, Huy Phan, Duc Minh Vo, Minh N. Do
   IEEE CVPR workshop on fair, data-efficient, and trusted computer vision, 2024
2. Multimodal Large Language Model Meets New Knowledge: A Preliminary Study
   Junwen Mo, Jiaxuan Li, Duc Minh Vo, Hideki Nakayama
   言語処理学会第30回年次大会(NLP2024)
3. 暗黙的な変形場を用いた変形可能な3D敵対的生成ネットワーク
   勝又海 (東大, 理研), Duc Minh Vo (東大), 原田達也 (東大, 理研), 中山英樹 (東大)
   MIRU, 2023
4. Robust Novel Object Captioning by Retrieving Objects from External Knowledge
   Duc Minh Vo, Hong Chen, Akihiro Sugimoto and Hideki Nakayama
   First International Workshop on Embodied Semiotics (EmSemi2023) (Idea presentation)
5. Biases mitigation in medical images via knowledge guidance
   Jiaxuan Li, Duc Minh Vo, Kohei Murao, Hiroyuki Abe, Tetsuo Ushiku, Shin'Ichi Satoh and Hideki Nakayama
   First International Workshop on Embodied Semiotics (EmSemi2023) (Idea presentation)
6. Enhancing Sign Language Translation with Quantized Video Encoding
   Junwen Mo, Duc Minh Vo and Hideki Nakayama
   First International Workshop on Embodied Semiotics (EmSemi2023) (Idea presentation)

Journal

1. Anticipation Captioning with Commonsense Knowledge
   Duc Minh Vo, Quoc-An Luong, Akihiro Sugimoto, Hideki Nakayama
   Journal of the Imaging Society of Japan, 2023 (Invited commentorary paper)
2. Stochastically Flipping Labels of Discriminator’s Outputs for Training Generative Adversarial Networks
   Yang Rui, Duc Minh Vo, Hideki Nakayama
   IEEE Access, 2022
3. Paired-D++ GAN for Image Manipulation with Text
   Duc Minh Vo, Akihiro Sugimoto
   Machine Vision and Applications (MVAP), 2022
4. Two-stream FCNs to Balance Content and Style for Style Transfer
   Duc Minh Vo, Akihiro Sugimoto
   Machine Vision and Applications (MVAP), 2020