Papers Occlusion Estimation
“Occlusion Estimation” 태그가 달린 논문 19편 · 필터 해제
Prohibited Items Segmentation via Occlusion-aware Bilayer Modeling
Instance segmentation of prohibited items in security X-ray images is a critical yet challenging task. This is mainly caused by the significant appearance gap between prohibited items in X-ray images and natural objects,…
DecoderImage SegmentationInstance SegmentationOcclusion Estimation+3Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
Estimating motion in videos is an essential computer vision problem with many downstream applications, including controllable video generation and robotics. Current solutions are primarily trained using synthetic data or…
counterfactualMotion EstimationOcclusion EstimationSelf-Supervised Learning+1CMU-Flownet: Exploring Point Cloud Scene Flow Estimation in Occluded Scenario
Occlusions hinder point cloud frame alignment in LiDAR data, a challenge inadequately addressed by scene flow models tested mainly on occlusion-free datasets. Attempts to integrate occlusion handling within networks ofte…
Occlusion EstimationOcclusion HandlingScene Flow EstimationGlobal Occlusion-Aware Transformer for Robust Stereo Matching
Despite the remarkable progress facilitated by learning-based stereo-matching algorithms, the performance in the ill-conditioned regions, such as the occluded regions, remains a bottleneck. Due to the limited receptive f…
Disparity EstimationOcclusion EstimationStereo MatchingOGMN: Occlusion-guided Multi-task Network for Object Detection in UAV Images
Occlusion between objects is one of the overlooked challenges for object detection in UAV images. Due to the variable altitude and angle of UAVs, occlusion in UAV images happens more frequently than that in natural scene…
object-detectionObject DetectionOcclusion EstimationOnline Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation
Occlusion between different objects is a typical challenge in Multi-Object Tracking (MOT), which often leads to inferior tracking results due to the missing detected objects. The common practice in multi-object tracking …
Multi-Object TrackingObjectObject TrackingOcclusion Estimation+1WALT: Watch and Learn 2D Amodal Representation From Time-Lapse Imagery
Current methods for object detection, segmentation, and tracking fail in the presence of severe occlusions in busy urban environments. Labeled real data of occlusions is scarce (even in large datasets) and synthetic …
2D Object Detection4kAmodal Instance SegmentationAmodal Tracking+5Deep Sketch-guided Cartoon Video Inbetweening
We propose a novel framework to produce cartoon videos by fetching the color information from two input keyframes while following the animated motion guided by a user sketch. The key idea of the proposed approach is to e…
Image GenerationOcclusion EstimationPixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application
We formalize concepts around geometric occlusion in 2D images (i.e., ignoring semantics), and propose a novel unified formulation of both occlusion boundaries and occlusion orientations via a pixel-pair occlusion relatio…
Monocular Depth EstimationOcclusion EstimationSENSE: a Shared Encoder Network for Scene-flow Estimation
We introduce a compact network for holistic scene flow estimation, called SENSE, which shares common encoder features among four closely-related tasks: optical flow estimation, disparity estimation from stereo, occlusion…
Disparity EstimationOcclusion EstimationOptical Flow EstimationScene Flow Estimation+1Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making
Aerial cinematography is revolutionizing industries that require live and dynamic camera viewpoints such as entertainment, sports, and security. However, safely piloting a drone while filming a moving target in the prese…
Decision MakingOcclusion EstimationIterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Deep learning approaches to optical flow estimation have seen rapid progress over the recent years. One common trait of many networks is that they refine an initial flow estimate either through multiple stages or across …
Occlusion EstimationOptical Flow EstimationContinual Occlusions and Optical Flow Estimation
Two optical flow estimation problems are addressed: i) occlusion estimation and handling, and ii) estimation from image sequences longer than two frames. The proposed ContinualFlow method estimates occlusions before flow…
Occlusion EstimationOptical Flow EstimationBi-box Regression for Pedestrian Detection and Occlusion Estimation
Occlusions present a great challenge for pedestrian detection in practical applications. In this paper, we propose a novel approach to simultaneous pedestrian detection and occlusion estimation by regressing two bounding…
Occlusion EstimationPedestrian DetectionregressionAn Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation
A key step to driver safety is to observe the driver's activities with the face being a key step in this process to extracting information such as head pose, blink rate, yawns, talking to passenger which can then help de…
Face AlignmentFace DetectionOcclusion EstimationRobust Facial Landmark Detection under Significant Head Poses and Occlusion
There have been tremendous improvements for facial landmark detection on general "in-the-wild" images. However, it is still challenging to detect the facial landmarks on images with severe occlusion and images with large…
Facial Landmark DetectionOcclusion EstimationregressionMirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation
Optical flow estimation is one of the most studied problems in computer vision, yet recent benchmark datasets continue to reveal problem areas of today's approaches. Occlusions have remained one of the key challenges. In…
Occlusion EstimationOptical Flow EstimationDOC: Deep OCclusion Estimation From a Single Image
Recovering the occlusion relationships between objects is a fundamental human visual ability which yields important information about the 3D world. In this paper we propose a deep network architecture, called DOC, which …
Occlusion EstimationExplicit Occlusion Modeling for 3D Object Class Representations
Despite the success of current state-of-the-art object class detectors, severe occlusion remains a major challenge. This is particularly true for more geometrically expressive 3D object class representations. While these…
3D Object ReconstructionObjectObject ReconstructionOcclusion Estimation+1