Search Results for author: Alain Pagani

Found 8 papers, 3 papers with code

MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding

no code implementations5 Mar 2024 Chun-Peng Chang, Shaoxiang Wang, Alain Pagani, Didier Stricker

3D visual grounding involves matching natural language descriptions with their corresponding objects in 3D spaces.

Decision Making Object +2

Learning Attention Propagation for Compositional Zero-Shot Learning

no code implementations20 Oct 2022 Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal

CAPE learns to identify this structure and propagates knowledge between them to learn class embedding for all seen and unseen compositions.

Compositional Zero-Shot Learning

Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras

1 code implementation13 Jul 2022 Fangwen Shu, Jiaxuan Wang, Alain Pagani, Didier Stricker

One of the biggest challenges in parallel tracking and mapping with a monocular camera is to keep the scale consistent when reconstructing the geometric primitives.

Camera Localization Pose Tracking

Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction

1 code implementation9 Aug 2021 Fangwen Shu, Yaxu Xie, Jason Rambach, Alain Pagani, Didier Stricker

This paper presents a semantic planar SLAM system that improves pose estimation and mapping using cues from an instance planar segmentation network.

Homography Estimation Pose Estimation

SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment

no code implementations2 Nov 2020 Fangwen Shu, Paul Lesur, Yaxu Xie, Alain Pagani, Didier Stricker

This paper demonstrates a system capable of combining a sparse, indirect, monocular visual SLAM, with both offline and real-time Multi-View Stereo (MVS) reconstruction algorithms.

Autonomous Vehicles Depth Estimation

TGA: Two-level Group Attention for Assembly State Detection

no code implementations12 Oct 2020 Hangfan Liu, Yongzhi Su, Jason Rambach, Alain Pagani

Assembly state detection, i. e., object state detection, has a critical meaning in computer vision tasks, especially in AR assisted assembly.

Object object-detection +2

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