Khanh-Binh Nguyen

According to our database, Khanh-Binh Nguyen authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

2025

Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model.

Phuoc-Nguyen Bui, Khanh-Binh Nguyen, Hyunseung Choo

CoRR, September, 2025

Adaptive Cache Enhancement for Test-Time Adaptation of Vision-Language Models.

Khanh-Binh Nguyen, Phuoc-Nguyen Bui, Hyunseung Choo, Duc Thanh Nguyen

CoRR, August, 2025

Accelerating Conditional Prompt Learning via Masked Image Modeling for Vision-Language Models.

Phuoc-Nguyen Bui, Khanh-Binh Nguyen, Hyunseung Choo

CoRR, August, 2025

SAVE: Segment Audio-Visual Easy way using the Segment Anything Model.

Khanh-Binh Nguyen, Chae Jung Park

Comput. Vis. Image Underst., 2025

Simplifying Masked Image Modeling With Symmetric Masking and Contrastive Learning.

Khanh-Binh Nguyen, Chae Jung Park

IEEE Access, 2025

On Calibration of Prompt Learning Using Temperature Scaling.

Khanh-Binh Nguyen, Chae Jung Park

IEEE Access, 2025

2024

Symmetric masking strategy enhances the performance of Masked Image Modeling.

Khanh-Binh Nguyen, Chae Jung Park

CoRR, 2024

Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector.

Khanh-Binh Nguyen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SequenceMatch Revisiting the design of weak-strong augmentations for Semi-supervised learning.

Khanh-Binh Nguyen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

RETRO: Reusing teacher projection head for efficient embedding distillation on Lightweight Models via Self-supervised Learning.

Khanh-Binh Nguyen, Chae Jung Park

Proceedings of the 35th British Machine Vision Conference, 2024

2023

EUNNet: Efficient UN-Normalized Convolution Layer for Stable Training of Deep Residual Networks Without Batch Normalization Layer.

Khanh-Binh Nguyen, Jaehyuk Choi, Joon-Sung Yang

IEEE Access, 2023

Boosting Semi-Supervised Learning by bridging high and low-confidence predictions.

Khanh-Binh Nguyen, Joon-Sung Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads.

Youngkyoon Jang, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Richard Shaw, Sibi Catley-Chandar, Yiren Zhou, Jiankang Deng, Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger, Heng Yu, Aarush Gupta, Joel Julin, László A. Jeni, Hyeseong Kim, Jungbin Cho, Dosik Hwang, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, YoungDon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn, Ales Leonardis, Stefanos Zafeiriou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Checkerboard Dropout: A Structured Dropout With Checkerboard Pattern for Convolutional Neural Networks.

Khanh-Binh Nguyen, Jaehyuk Choi, Joon-Sung Yang

IEEE Access, 2022