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Papers Monocular 3D Object Localization

“Monocular 3D Object Localization” 태그가 달린 논문 6편 · 필터 해제

Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer

2025-04-28 · Daniel Kienzle, Robin Schön, Rainer Lienhart, Shin'ichi Satoh

Analyzing a player's technique in table tennis requires knowledge of the ball's 3D trajectory and spin. While, the spin is not directly observable in standard broadcasting videos, we show that it can be inferred from the…

Monocular 3D Object LocalizationSports AnalyticsSynthetic Data GenerationTrajectory Prediction+1

Towards Learning Monocular 3D Object Localization From 2D Labels using the Physical Laws of Motion

2023-10-26 · Daniel Kienzle, Julian Lorenz, Katja Ludwig, Rainer Lienhart

We present a novel method for precise 3D object localization in single images from a single calibrated camera using only 2D labels. No expensive 3D labels are needed. Thus, instead of using 3D labels, our model is traine…

Monocular 3D Object LocalizationObjectObject Localization

NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization

2023-05-28 · CVPR 2023 1 · Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu 외

Monocular 3D object localization in driving scenes is a crucial task, but challenging due to its ill-posed nature. Estimating 3D coordinates for each pixel on the object surface holds great potential as it provides dense…

Monocular 3D Object LocalizationObjectObject Localization

MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time

2020-06-29 · ICML 2020 1 · Xichuan Zhou, Yicong Peng, Chunqiao Long, Fengbo Ren 외

Monocular multi-object detection and localization in 3D space has been proven to be a challenging task. The MoNet3D algorithm is a novel and effective framework that can predict the 3D position of each object in a monocu…

Monocular 3D Object LocalizationObjectobject-detectionObject Detection+2

Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles

2019-03-27 · Siddharth Srivastava, Frederic Jurie, Gaurav Sharma

We address the problem of 3D object detection from 2D monocular images in autonomous driving scenarios. We propose to lift the 2D images to 3D representations using learned neural networks and leverage existing networks …

3D Object Detection3D Object Detection From Monocular ImagesAutonomous DrivingAutonomous Navigation+4

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization

2018-11-26 · Zengyi Qin, Jinglu Wang, Yan Lu

Detecting and localizing objects in the real 3D space, which plays a crucial role in scene understanding, is particularly challenging given only a single RGB image due to the geometric information loss during imagery pro…

2D Object Detection3D Object DetectionDepth EstimationMonocular 3D Object Detection+5
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