Papers Viewpoint Estimation
“Viewpoint Estimation” 태그가 달린 논문 41편 · 필터 해제
Viewpoint Estimation---Insights & Model
This paper addresses the problem of viewpoint estimation of an object in a given image. It presents five key insights and a CNN that is based on them. The network's major properties are as follows. (i) The architecture …
General ClassificationmodelViewpoint EstimationiSPA-Net: Iterative Semantic Pose Alignment Network
Understanding and extracting 3D information of objects from monocular 2D images is a fundamental problem in computer vision. In the task of 3D object pose estimation, recent data driven deep neural network based approach…
ObjectPose EstimationSemantic correspondenceViewpoint EstimationViewpoint Estimation-Insights & Model
This paper addresses the problem of viewpoint estimation of an object in a given image. It presents five key insights that should be taken into consideration when designing a CNN that solves the problem. Based on these i…
General ClassificationmodelViewpoint EstimationLight-weight Head Pose Invariant Gaze Tracking
Unconstrained remote gaze tracking using off-the-shelf cameras is a challenging problem. Recently, promising algorithms for appearance-based gaze estimation using convolutional neural networks (CNN) have been proposed. I…
Gaze EstimationTransfer LearningViewpoint EstimationPix3D: Dataset and Methods for Single-Image 3D Shape Modeling
We study 3D shape modeling from a single image and make contributions to it in three aspects. First, we present Pix3D, a large-scale benchmark of diverse image-shape pairs with pixel-level 2D-3D alignment. Pix3D has wide…
3D Reconstruction3D Shape Modeling3D Shape ReconstructionMulti-Task Learning+3StarMap for Category-Agnostic Keypoint and Viewpoint Estimation
Semantic keypoints provide concise abstractions for a variety of visual understanding tasks. Existing methods define semantic keypoints separately for each category with a fixed number of semantic labels in fixed indices…
Keypoint DetectionViewpoint EstimationAdviser Networks: Learning What Question to Ask for Human-In-The-Loop Viewpoint Estimation
Humans have an unparalleled visual intelligence and can overcome visual ambiguities that machines currently cannot. Recent works have shown that incorporating guidance from humans during inference for monocular viewpoint…
Viewpoint EstimationSoft-Margin Mixture of Regressions
Nonlinear regression is a common statistical tool to solve many computer vision problems (e.g., age estimation, pose estimation). Existing approaches to nonlinear regression fall into two main categories: (1) The univer…
Age EstimationCrowd CountingPose Estimationregression+1Context-based Object Viewpoint Estimation: A 2D Relational Approach
The task of object viewpoint estimation has been a challenge since the early days of computer vision. To estimate the viewpoint (or pose) of an object, people have mostly looked at object intrinsic features, such as shap…
Action RecognitionObjectobject-detectionObject Detection+2Click Here: Human-Localized Keypoints as Guidance for Viewpoint Estimation
We motivate and address a human-in-the-loop variant of the monocular viewpoint estimation task in which the location and class of one semantic object keypoint is available at test time. In order to leverage the keypoint …
Viewpoint Estimation3D Bounding Box Estimation Using Deep Learning and Geometry
We present a method for 3D object detection and pose estimation from a single image. In contrast to current techniques that only regress the 3D orientation of an object, our method first regresses relatively stable 3D ob…
3D Object DetectionDeep LearningObjectobject-detection+5Crafting a multi-task CNN for viewpoint estimation
Convolutional Neural Networks (CNNs) were recently shown to provide state-of-the-art results for object category viewpoint estimation. However different ways of formulating this problem have been proposed and the competi…
General ClassificationViewpoint EstimationHow useful is photo-realistic rendering for visual learning?
Data seems cheap to get, and in many ways it is, but the process of creating a high quality labeled dataset from a mass of data is time-consuming and expensive. With the advent of rich 3D repositories, photo-realistic …
Domain AdaptationViewpoint EstimationScene-Domain Active Part Models for Object Representation
In this paper, we are interested in enhancing the expressivity and robustness of part-based models for object representation, in the common scenario where the training data are based on 2D images. To this end, we propose…
ObjectViewpoint EstimationEnriching Object Detection With 2D-3D Registration and Continuous Viewpoint Estimation
A large body of recent work on object detection has focused on exploiting 3D CAD model databases to improve detection performance. Many of these approaches work by aligning exact 3D models to images using templates gener…
GPUobject-detectionObject DetectionPose Estimation+1Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Object viewpoint estimation from 2D images is an essential task in computer vision. However, two issues hinder its progress: scarcity of training data with viewpoint annotations, and a lack of powerful features. Inspired…
Image GenerationViewpoint Estimation3D Object Class Detection in the Wild
Object class detection has been a synonym for 2D bounding box localization for the longest time, fueled by the success of powerful statistical learning techniques, combined with robust image representations. Only recentl…
Objectobject-detectionObject DetectionViewpoint EstimationLearning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation
This paper presents a method for learning And-Or models to represent context and occlusion for car detection and viewpoint estimation. The learned And-Or model represents car-to-car context and occlusion configurations a…
Viewpoint EstimationMulti-View Priors for Learning Detectors from Sparse Viewpoint Data
While the majority of today's object class models provide only 2D bounding boxes, far richer output hypotheses are desirable including viewpoint, fine-grained category, and 3D geometry estimate. However, models trained t…
3D geometryObjectObject LocalizationTransfer Learning+1Analyzing 3D Objects in Cluttered Images
We present an approach to detecting and analyzing the 3D configuration of objects in real-world images with heavy occlusion and clutter. We focus on the application of finding and analyzing cars. We do so with a two-stag…
3D Shape ReconstructionViewpoint Estimation