1 citations · 1 across the 10 of their papers we have counts for
10 papers
Inductive Visual Logic for Few-Shot Out-Of-Distribution Adaptation in VLMs
Hung-Jen Chen, Yu-Heng Ho, Ting-Yao Huang +4
Generative vision-language models (VLMs) such as Qwen-VL and LLaVA achieve strong zero-shot performance on tasks overlapping with their pretraining distribution, yet fail on specia…
Memory Tree Guided Key Frame Querying for Efficient 3D Question Answering
Hsiang-Wei Huang, Fu-Chen Chen, Li-Wu Tsao +7
Answering questions accurately and efficiently in embodied scenarios presents significant challenges due to limited computational and memory resources for Vision Language Model (VL…
Enhancing Part-Level Point Grounding for Any Open-Source MLLMs
Jin-Cheng Jhang, Fu-En Wang, Xin Yang +4
Visual grounding aims to associate free-form textual queries with specific regions in an image. While recent Multimodal Large Language Models (MLLMs) have demonstrated promising ca…
OpenM3D: Open Vocabulary Multi-view Indoor 3D Object Detection without Human Annotations
Peng-Hao Hsu, Ke Zhang, Fu-En Wang +6
Open-vocabulary (OV) 3D object detection is an emerging field, yet its exploration through image-based methods remains limited compared to 3D point cloud-based methods. We introduc…
V-MIND: Building Versatile Monocular Indoor 3D Detector with Diverse 2D Annotations
Jin-Cheng Jhang, Tao Tu, Fu-En Wang +3
The field of indoor monocular 3D object detection is gaining significant attention, fueled by the increasing demand in VR/AR and robotic applications. However, its advancement is i…
GenRC: Generative 3D Room Completion from Sparse Image Collections
Ming-Feng Li, Yueh-Feng Ku, Hong-Xuan Yen +5
Sparse RGBD scene completion is a challenging task especially when considering consistent textures and geometries throughout the entire scene. Different from existing solutions tha…
BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models
Xuefeng Hu, Ke Zhang, Min Sun +3
Large-scale pretrained vision-language models like CLIP have demonstrated remarkable zero-shot image classification capabilities across diverse domains. To enhance CLIP's performan…
No More Ambiguity in 360° Room Layout via Bi-Layout Estimation
Yu-Ju Tsai, Jin-Cheng Jhang, Jingjing Zheng +5
Inherent ambiguity in layout annotations poses significant challenges to developing accurate 360° room layout estimation models. To address this issue, we propose a novel Bi-Layout…
GDA: Generalized Diffusion for Robust Test-time Adaptation
Yun-Yun Tsai, Fu-Chen Chen, Albert Y. C. Chen +4
Machine learning models struggle with generalization when encountering out-of-distribution (OOD) samples with unexpected distribution shifts. For vision tasks, recent studies have…
DreaMo: Articulated 3D Reconstruction From A Single Casual Video
Tao Tu, Ming-Feng Li, Chieh Hubert Lin +3
Articulated 3D reconstruction has valuable applications in various domains, yet it remains costly and demands intensive work from domain experts. Recent advancements in template-fr…