33 citations · 73 across the 15 of their papers we have counts for
15 papers
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…
Revisiting Model Stitching In the Foundation Model Era
Zheda Mai, Ke Zhang, Fu-En Wang +6
Model stitching, connecting early layers of one model (source) to later layers of another (target) via a light stitch layer, has served as a probe of representational compatibility…
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…
UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and Online Object Completion with Partial References
Ming-Feng Li, Xin Yang, Fu-En Wang +5
6D object pose estimation has shown strong generalizability to novel objects. However, existing methods often require either a complete, well-reconstructed 3D model or numerous ref…
uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images
Jonathan Lee, Bolivar Solarte, Chin-Hsuan Wu +4
We present uLayout, a unified model for estimating room layout geometries from both perspective and panoramic images, whereas traditional solutions require different model designs…
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…
Sparse and Privacy-enhanced Representation for Human Pose Estimation
Ting-Ying Lin, Lin-Yung Hsieh, Fu-En Wang +2
We propose a sparse and privacy-enhanced representation for Human Pose Estimation (HPE). Given a perspective camera, we use a proprietary motion vector sensor(MVS) to extract an ed…
VMCML: Video and Music Matching via Cross-Modality Lifting
Yi-Shan Lee, Wei-Cheng Tseng, Fu-En Wang +1
We propose a content-based system for matching video and background music. The system aims to address the challenges in music recommendation for new users or new music give short-f…
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
Fu-En Wang, Chien-Yi Wang, Min Sun +1
Although significant progress has been made in face recognition, demographic bias still exists in face recognition systems. For instance, it usually happens that the face recogniti…
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation
Fu-En Wang, Yu-Hsuan Yeh, Yi-Hsuan Tsai +2
Due to the rise of spherical cameras, monocular 360 depth estimation becomes an important technique for many applications (e.g., autonomous systems). Thus, state-of-the-art framewo…
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
Fu-En Wang, Yu-Hsuan Yeh, Min Sun +2
Although significant progress has been made in room layout estimation, most methods aim to reduce the loss in the 2D pixel coordinate rather than exploiting the room structure in t…
LayoutMP3D: Layout Annotation of Matterport3D
Fu-En Wang, Yu-Hsuan Yeh, Min Sun +2
Inferring the information of 3D layout from a single equirectangular panorama is crucial for numerous applications of virtual reality or robotics (e.g., scene understanding and nav…
Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation
Tsun-Hsuan Wang, Fu-En Wang, Juan-Ting Lin +3
We propose a novel plug-and-play (PnP) module for improving depth prediction with taking arbitrary patterns of sparse depths as input. Given any pre-trained depth prediction model,…
Self-Supervised Learning of Depth and Camera Motion from 360° Videos
Fu-En Wang, Hou-Ning Hu, Hsien-Tzu Cheng +5
As 360° cameras become prevalent in many autonomous systems (e.g., self-driving cars and drones), efficient 360° perception becomes more and more important. We propose a novel self…
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama
Shang-Ta Yang, Fu-En Wang, Chi-Han Peng +3
We present a deep learning framework, called DuLa-Net, to predict Manhattan-world 3D room layouts from a single RGB panorama. To achieve better prediction accuracy, our method leve…