Papers Multiview Detection
“Multiview Detection” 태그가 달린 논문 22편 · 필터 해제
Unmasking Facial DeepFakes: A Robust Multiview Detection Framework for Natural Images
DeepFake technology has advanced significantly in recent years, enabling the creation of highly realistic synthetic face images. Existing DeepFake detection methods often struggle with pose variations, occlusions, and ar…
Multiview DetectionDeepFake DetectionDCHM: Depth-Consistent Human Modeling for Multiview Detection
Multiview pedestrian detection typically involves two stages: human modeling and pedestrian localization. Human modeling represents pedestrians in 3D space by fusing multiview information, making its quality crucial for …
Pedestrian DetectionMultiview DetectionDepth EstimationPoint CloudsResource-Efficient Multiview Perception: Integrating Semantic Masking with Masked Autoencoders
Multiview systems have become a key technology in modern computer vision, offering advanced capabilities in scene understanding and analysis. However, these systems face critical challenges in bandwidth limitations and c…
Multiview DetectionScene UnderstandingMahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization
Multi-view crowd localization predicts the ground locations of all people in the scene. Typical methods usually estimate the crowd density maps on the ground plane first, and then obtain the crowd locations. However, the…
Multiview DetectionMulti-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting
Recent deep learning-based multi-view people detection (MVD) methods have shown promising results on existing datasets. However, current methods are mainly trained and evaluated on small, single scenes with a limited num…
Camera CalibrationDomain AdaptationMultiview DetectionLifting Multi-View Detection and Tracking to the Bird's Eye View
Taking advantage of multi-view aggregation presents a promising solution to tackle challenges such as occlusion and missed detection in multi-object tracking and detection. Recent advancements in multi-view detection and…
3D Object RecognitionMulti-Object Trackingmulti-view detectionMultiview Detection+2Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling
The main challenge in multi-view pedestrian detection is integrating view-specific features into a unified space for comprehensive end-to-end perception. Prior multi-view detection methods have focused on projecting pers…
multi-view detectionMultiview DetectionPedestrian DetectionvalidEarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View
Multi-view aggregation promises to overcome the occlusion and missed detection challenge in multi-object detection and tracking. Recent approaches in multi-view detection and 3D object detection made a huge performance l…
3D Object DetectionMulti-Object Trackingmulti-view detectionMultiview Detection+2Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case
Printed circuit boards (PCBs) are essential components of electronic devices, and ensuring their quality is crucial in their production. However, the vast variety of components and PCBs manufactured by different companie…
Multiview DetectionObjectObject DetectionMulti-view Tracking Using Weakly Supervised Human Motion Prediction
Multi-view approaches to people-tracking have the potential to better handle occlusions than single-view ones in crowded scenes. They often rely on the tracking-by-detection paradigm, which involves detecting people firs…
Human motion predictionmotion predictionMulti-Object TrackingMultiview Detection+1Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention
Improving multi-view aggregation is integral for multi-view pedestrian detection, which aims to obtain a bird's-eye-view pedestrian occupancy map from images captured through a set of calibrated cameras. Inspired by the …
Multiview DetectionPedestrian Detection3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization
Although deep-learning based methods for monocular pedestrian detection have made great progress, they are still vulnerable to heavy occlusions. Using multi-view information fusion is a potential solution but has limited…
Data AugmentationMultiview DetectionPedestrian DetectionMultiview Detection with Cardboard Human Modeling
Multiview detection uses multiple calibrated cameras with overlapping fields of views to locate occluded pedestrians. In this field, existing methods typically adopt a ``human modeling - aggregation'' strategy. To find r…
Depth EstimationMultiview DetectionVoxelized 3D Feature Aggregation for Multiview Detection
Multi-view detection incorporates multiple camera views to alleviate occlusion in crowded scenes, where the state-of-the-art approaches adopt homography transformations to project multi-view features to the ground plane.…
multi-view detectionMultiview DetectionBringing Generalization to Deep Multi-View Pedestrian Detection
Multi-view Detection (MVD) is highly effective for occlusion reasoning in a crowded environment. While recent works using deep learning have made significant advances in the field, they have overlooked the generalization…
multi-view detectionMultiview DetectionPedestrian DetectionMVM3Det: A Novel Method for Multi-view Monocular 3D Detection
Monocular 3D object detection encounters occlusion problems in many application scenarios, such as traffic monitoring, pedestrian monitoring, etc., which leads to serious false negative. Multi-view object detection effec…
3D Object DetectionMonocular 3D Object DetectionMultiview DetectionObject+3Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
Multiview detection incorporates multiple camera views to deal with occlusions, and its central problem is multiview aggregation. Given feature map projections from multiple views onto a common ground plane, the state-of…
Data AugmentationMultiview DetectionTranslationRGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety
Automated monitoring and analysis of passenger movement in safety-critical parts of transport infrastructures represent a relevant visual surveillance task. Recent breakthroughs in visual representation learning and spat…
Multi-Object TrackingMultiview DetectionObject DetectionPedestrian Detection+1Stacked Homography Transformations for Multi-View Pedestrian Detection
Multi-view pedestrian detection aims to predict a bird's eye view (BEV) occupancy map from multiple camera views. This task is confronted with two challenges: how to establish the 3D correspondences from views to the…
Multiview DetectionPedestrian DetectionMultiview Detection with Feature Perspective Transformation
Incorporating multiple camera views for detection alleviates the impact of occlusions in crowded scenes. In a multiview system, we need to answer two important questions when dealing with ambiguities that arise from occl…
Human DetectionMultiview DetectionPedestrian Detection