WebYisheng He is a forth year Ph.D. student at the Hong Kong University of Science and Technology ( HKUST ), advised by Prof. Qifeng Chen, Prof. Long Quan, and Dr. Jian … WebA new open-set few-shot 6D object pose estimation problem: estimating the 6D pose of an unknown object by a few support views without CAD models and extra training. A large-scale synthesis dataset for pre-training and benchmarks for future research. FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation
[CVPR2024 Oral] FFB6D: A Full Flow Bidirectional Fusion Network for 6D ...
Web[SwinDePose] is a general framework for representation learning from a depth image, and we applied it to the 6D pose estimation task by cascading downstream prediction headers for instance semantic segmentation and 3D keypoint voting prediction from FFB6D. WebFFB6D is a full flow bidirectional fusion network for 6D pose estimation of known objects from a single RGBD image. Unlike previous works that extract the RGB and point cloud features independently and fuse them in the final stage, FFB6D builds bidirectional fusion modules as communication bridges in the full flow of the two networks. In this way, the … dr stephen clifforth hamilton
FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose …
WebMar 3, 2024 · In this work, we present FFB6D, a Full Flow Bidirectional fusion network designed for 6D pose estimation from a single RGBD image. Our key insight is that … WebNov 11, 2024 · Specifically, we propose a deep Hough voting network to detect 3D keypoints of objects and then estimate the 6D pose parameters within a least-squares fitting manner. Our method is a natural extension of 2D-keypoint approaches that successfully work on RGB based 6DoF estimation. It allows us to fully utilize the geometric constraint … Webperformance. FFB6D [13] designed a bidirectional network to effectively fuse features extracted from different modalities and achieved great performances in 6D pose estimation. IMFNet [18] successfully boosted registration by utilizing a cross-attention to fuse geometric information from point cloud and semantic information from image. However, all dr stephen coates san angelo