On approaching 2D-FPCA technique to improve image representation in frequency domain. - Thai Hoang Le; Hung Phuoc Truong; Ha Thi Thanh Do; Duc Minh Vo (SoICT, 2013)

Facial expression recognition by re-ranking with global and local generic features. - Duc Minh Vo; Akihiro Sugimoto; Thai Hoang Le (ICPR, 2016)

Paired-D GAN for Semantic Image Synthesis. - Duc Minh Vo; Akihiro Sugimoto (ACCV (4), 2018)

Balancing Content and Style with Two-Stream FCNs for Style Transfer. - Duc Minh Vo; Trung-Nghia Le; Akihiro Sugimoto (WACV, 2018)

Visual-Relation Conscious Image Generation from Structured-Text. - Duc Minh Vo; Akihiro Sugimoto (ECCV (28), 2020)

Stylized-Colorization for Line Arts. - Tzu-Ting Fang; Duc Minh Vo; Akihiro Sugimoto; Shang-Hong Lai (ICPR, 2020)

Two-stream FCNs to balance content and style for style transfer. - Duc Minh Vo; Akihiro Sugimoto (Mach. Vis. Appl., 2020)

Learning-based Image Synthesis by Utilizing Disentangled Feature Representations. - Duc Minh Vo (2020)

Saliency based Subject Selection for Diverse Image Captioning. - Quoc-An Luong; Duc Minh Vo; Akihiro Sugimoto (MVA, 2021)

OSSGAN: Open-Set Semi-Supervised Image Generation. - Kai Katsumata; Duc Minh Vo; Hideki Nakayama (CVPR, 2022)

NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge. - Duc Minh Vo; Hong Chen 017; Akihiro Sugimoto; Hideki Nakayama (CVPR, 2022)

StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning. - Hong Chen 017; Duc Minh Vo; Hiroya Takamura; Yusuke Miyao; Hideki Nakayama (EMNLP, 2022)

PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression. - Duc Minh Vo; Akihiro Sugimoto; Hideki Nakayama (WACV, 2022)

Stochastically Flipping Labels of Discriminator's Outputs for Training Generative Adversarial Networks. - Rui Yang 021; Duc Minh Vo; Hideki Nakayama (IEEE Access, 2022)

Does evaluating peer assessment accuracy and taking it into account in calculating assessor's final score enhance online peer assessment quality? - Loc Phuoc Hoang; Hieu Thanh Le; Hung Van Tran; Thanh Chi Phan; Duc Minh Vo; Phuong Anh Le; Dung The Nguyen; Chakrit Pong-Inwong (Educ. Inf. Technol., 2022)

Paired-D++ GAN for image manipulation with text. - Duc Minh Vo; Akihiro Sugimoto (Mach. Vis. Appl., 2022)

A-CAP: Anticipation Captioning with Commonsense Knowledge. - Duc Minh Vo; Quoc-An Luong; Akihiro Sugimoto; Hideki Nakayama (CVPR, 2023)

Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts. - Jiaxuan Li 004; Duc Minh Vo; Hideki Nakayama (ICCV, 2023)

Indirect Adversarial Losses via an Intermediate Distribution for Training GANs. - Rui Yang; Duc Minh Vo; Hideki Nakayama (WACV, 2023)

Balancing Reconstruction and Editing Quality of GAN Inversion for Real Image Editing with StyleGAN Prior Latent Space. - Kai Katsumata; Duc Minh Vo; Bei Liu 001; Hideki Nakayama (CoRR, 2023)

Revisiting Latent Space of GAN Inversion for Real Image Editing. - Kai Katsumata; Duc Minh Vo; Bei Liu 001; Hideki Nakayama (CoRR, 2023)

An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes. - Kai Katsumata; Duc Minh Vo; Hideki Nakayama (CoRR, 2023)

Persistent Test-time Adaptation in Episodic Testing Scenarios. - Trung-Hieu Hoang; Duc Minh Vo; Minh N. Do (CoRR, 2023)

Questioning, Answering, and Captioning for Zero-Shot Detailed Image Caption. - Duc-Tuan Luu; Viet-Tuan Le; Duc Minh Vo (ACCV Workshops (1), 2024)

Improving the Robustness of 3D Human Pose Estimation: A Benchmark Dataset and Learning from Noisy Input. - Trung-Hieu Hoang; Mona Zehni; Huy Phan; Duc Minh Vo; Minh N. Do (CVPR Workshops, 2024)

Evcap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension. - Jiaxuan Li 004; Duc Minh Vo; Akihiro Sugimoto; Hideki Nakayama (CVPR, 2024)

A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis. - Kai Katsumata; Duc Minh Vo; Hideki Nakayama (ECCV (86), 2024)

Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data. - Kai Katsumata; Duc Minh Vo; Tatsuya Harada; Hideki Nakayama (WACV, 2024)

Revisiting Latent Space of GAN Inversion for Robust Real Image Editing. - Kai Katsumata; Duc Minh Vo; Bei Liu 001; Hideki Nakayama (WACV, 2024)

Label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data. - Kai Katsumata; Duc Minh Vo; Hideki Nakayama (WACV, 2024)

NEMO: Can Multimodal LLMs Identify Attribute-Modified Objects? - Jiaxuan Li 004; Junwen Mo; Duc Minh Vo; Akihiro Sugimoto; Hideki Nakayama (CoRR, 2024)

R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation. - Trung-Hieu Hoang; Duc Minh Vo; Minh N. Do (CoRR, 2024)