6 papers
When Helpful Text Hurts: Option-Redirecting Bias in Vision-Language Models
Tam Le Thi Thanh, Hoang Tran Van, Hong-Hanh Nguyen-Le +1
In tri-modal visual question answering (VQA), auxiliary text is commonly used to complement visual and textual inputs, yet its reliability is often uncontrolled. While prior work s…
MVDGC: Joint 3D and 2D Multi-view Pedestrian Detection via Dual Geometric Constraints
Thinh Phan, Hao Vo, Khoa Vo +3
The core challenge in multi-view pedestrian detection (MVPD) lies in effective aggregation of visual features from different viewpoints for robust occlusion reasoning. Recent appro…
Characterizing Detectability in 3DGS Poisoning: A Stage-wise Benchmark
Quoc-Anh Bui-Huynh, Thanh Duc Ngo, Xue Geng +4
3D Gaussian Splatting (3DGS) has rapidly emerged as a leading representation for real-time novel view synthesis, but recent work shows it is vulnerable to diverse poisoning attacks…
Mixed-Modality Dual Face-Hair Retrieval
Quoc-Anh Bui-Huynh, Mai-Tuyen Lam, Dai-Anh-Tuan Nguyen +1
We introduce Dual Face-Hair Retrieval (DFHR), a new mixed-modality dual-reference task in image retrieval where a query consists of a face image specifying identity and a hairstyle…
Can LLMs Play Ô Ăn Quan Game? A Study of Multi-Step Planning and Decision Making
Sang Quang Nguyen, Kiet Van Nguyen, Vinh-Tiep Nguyen +3
In this paper, we explore the ability of large language models (LLMs) to plan and make decisions through the lens of the traditional Vietnamese board game, Ô Ăn Quan. This game, wh…
Multi-Perspective Data Augmentation for Few-shot Object Detection
Anh-Khoa Nguyen Vu, Quoc-Truong Truong, Vinh-Tiep Nguyen +3
Recent few-shot object detection (FSOD) methods have focused on augmenting synthetic samples for novel classes, show promising results to the rise of diffusion models. However, the…