Khanh-Binh Nguyen

21 papers A 3B 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SOUPLE: Enhancing Audio-Visual Localization and Segmentation with Learnable Prompt Contexts. CoRR Khanh-Binh Nguyen, Chae Jung Park
2025	J	`jnl`	Accelerating Conditional Prompt Learning via Masked Image Modeling for Vision-Language Models. CoRR Phuoc-Nguyen Bui, Khanh-Binh Nguyen, Hyunseung Choo
2025	J	`jnl`	Adaptive Cache Enhancement for Test-Time Adaptation of Vision-Language Models. CoRR Khanh-Binh Nguyen, Phuoc-Nguyen Bui, Hyunseung Choo, Duc Thanh Nguyen
2025	J	`jnl`	Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model. CoRR Phuoc-Nguyen Bui, Khanh-Binh Nguyen, Hyunseung Choo
2025	J	`jnl`	On Calibration of Prompt Learning Using Temperature Scaling. IEEE Access Khanh-Binh Nguyen, Chae Jung Park
2025	J	`jnl`	SAVE: Segment Audio-Visual Easy way using the Segment Anything Model. Comput. Vis. Image Underst. Khanh-Binh Nguyen, Chae Jung Park
2025	J	`jnl`	Simplifying Masked Image Modeling With Symmetric Masking and Contrastive Learning. IEEE Access Khanh-Binh Nguyen, Chae Jung Park
2025	B	`conf`	Symmetric masking strategy enhances the performance of Masked Image Modeling. IJCNN Khanh-Binh Nguyen, Chae Jung Park
2024	A	`conf`	Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector. WACV Khanh-Binh Nguyen
2024	A	`conf`	RETRO: Reusing teacher projection head for efficient embedding distillation on Lightweight Models via Self-supervised Learning. BMVC Khanh-Binh Nguyen, Chae Jung Park
2024	J	`jnl`	Retro: Reusing teacher projection head for efficient embedding distillation on Lightweight Models via Self-supervised Learning. CoRR Khanh-Binh Nguyen, Chae Jung Park
2024	J	`jnl`	SAVE: Segment Audio-Visual Easy way using Segment Anything Model. CoRR Khanh-Binh Nguyen, Chae Jung Park
2024	A	`conf`	SequenceMatch Revisiting the design of weak-strong augmentations for Semi-supervised learning. WACV Khanh-Binh Nguyen
2024	J	`jnl`	Symmetric masking strategy enhances the performance of Masked Image Modeling. CoRR Khanh-Binh Nguyen, Chae Jung Park
2023	—	`conf`	Boosting Semi-Supervised Learning by bridging high and low-confidence predictions. ICCV (Workshops) Khanh-Binh Nguyen, Joon-Sung Yang
2023	J	`jnl`	Boosting Semi-Supervised Learning by bridging high and low-confidence predictions. CoRR Khanh-Binh Nguyen, Joon-Sung Yang
2023	J	`jnl`	Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector. CoRR Khanh-Binh Nguyen
2023	J	`jnl`	EUNNet: Efficient UN-Normalized Convolution Layer for Stable Training of Deep Residual Networks Without Batch Normalization Layer. IEEE Access Khanh-Binh Nguyen, Jaehyuk Choi, Joon-Sung Yang
2023	J	`jnl`	SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning. CoRR Khanh-Binh Nguyen
2023	—	`conf`	VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads. ICCV (Workshops) 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
2022	J	`jnl`	Checkerboard Dropout: A Structured Dropout With Checkerboard Pattern for Convolutional Neural Networks. IEEE Access Khanh-Binh Nguyen, Jaehyuk Choi, Joon-Sung Yang