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Displaying 1-26 out of 26 total
3D generic object categorization, localization and pose estimation
Found in: Computer Vision, IEEE International Conference on
By Silvio Savarese, Li Fei-Fei
Issue Date:October 2007
pp. 1-8
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotations and scale changes. Our approach is to capture a compact model of an objec...
 
Detecting Specular Surfaces on Natural Images
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Andrey DelPozo, Silvio Savarese
Issue Date:June 2007
pp. 1-8
Recognizing and localizing specular (or mirror-like) surfaces from a single image is a great challenge to computer vision. Unlike other materials, the appearance of a specular surface changes as function of the surrounding environment as well as the positi...
 
Articulated part-based model for joint object detection and pose estimation
Found in: Computer Vision, IEEE International Conference on
By Min Sun,Silvio Savarese
Issue Date:November 2011
pp. 723-730
Despite recent successes, pose estimators are still somewhat fragile, and they frequently rely on a precise knowledge of the location of the object. Unfortunately, articulated objects are also very difficult to detect. Knowledge about the articulated natur...
 
MEVBench: A mobile computer vision benchmarking suite
Found in: IEEE Workload Characterization Symposium
By Jason Clemons,Haishan Zhu,Silvio Savarese,Todd Austin
Issue Date:November 2011
pp. 91-102
The growth in mobile vision applications, coupled with the performance limitations of mobile platforms, has led to a growing need to understand computer vision applications. Computationally intensive mobile vision applications, such as augmented reality or...
 
Toward Automatic 3D Generic Object Modeling from One Single Image
Found in: 3D Imaging, Modeling, Processing, Visualization and Transmission, International Conference on
By Min Sun,Shyam Sunder Kumar,Gary Bradski,Silvio Savarese
Issue Date:May 2011
pp. 9-16
We present a novel method for solving the challenging problem of generating 3D models of generic object categories from just one single un-calibrated image. Our method leverages the algorithm proposed in [1] which enables a partial reconstruction of the ob...
 
Object Detection by 3D Aspectlets and Occlusion Reasoning
Found in: 2013 IEEE International Conference on Computer Vision Workshops (ICCVW)
By Yu Xiang,Silvio Savarese
Issue Date:December 2013
pp. 530-537
We propose a novel framework for detecting multiple objects from a single image and reasoning about occlusions between objects. We address this problem from a 3D perspective in order to handle various occlusion patterns which can take place between objects...
 
Find the Best Path: An Efficient and Accurate Classifier for Image Hierarchies
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Min Sun,Wan Huang,Silvio Savarese
Issue Date:December 2013
pp. 265-272
Many methods have been proposed to solve the image classification problem for a large number of categories. Among them, methods based on tree-based representations achieve good trade-off between accuracy and test time efficiency. While focusing on learning...
 
Breaking the Chain: Liberation from the Temporal Markov Assumption for Tracking Human Poses
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Ryan Tokola,Wongun Choi,Silvio Savarese
Issue Date:December 2013
pp. 2424-2431
We present an approach to multi-target tracking that has expressive potential beyond the capabilities of chain-shaped hidden Markov models, yet has significantly reduced complexity. Our framework, which we call tracking-by-selection}, is similar to trackin...
 
3D Scene Understanding by Voxel-CRF
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Byung-Soo Kim,Pushmeet Kohli,Silvio Savarese
Issue Date:December 2013
pp. 1425-1432
Scene understanding is an important yet very challenging problem in computer vision. In the past few years, researchers have taken advantage of the recent diffusion of depth-RGB (RGB-D) cameras to help simplify the problem of inferring scene semantics. How...
 
Robust object pose estimation via statistical manifold modeling
Found in: Computer Vision, IEEE International Conference on
By Liang Mei,Jingen Liu,Alfred Hero,Silvio Savarese
Issue Date:November 2011
pp. 967-974
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-class variability and maximizing inter-pose distance. Following the intuition th...
 
Toward coherent object detection and scene layout understanding
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Sid Ying-Ze Bao, Min Sun, Silvio Savarese
Issue Date:June 2010
pp. 65-72
Detecting objects in complex scenes while recovering the scene layout is a critical functionality in many vision-based applications. Inspired by the work of [18], we advocate the importance of geometric contextual reasoning for object recognition. We start...
 
Spatial-Temporal correlatons for unsupervised action classification
Found in: Motion and Video Computing, IEEE Workshop on
By Silvio Savarese, Andrey DelPozo, Juan Carlos Niebles, Li Fei-Fei
Issue Date:January 2008
pp. 1-8
Spatial-temporal local motion features have shown promising results in complex human action classification. Most of the previous works [6],[16],[21] treat these spatial-temporal features as a bag of video words, omitting any long range, global information ...
 
Second Order Local Analysis for 3D Reconstruction of Specular Surfaces
Found in: 3D Data Processing Visualization and Transmission, International Symposium on
By Silvio Savarese, Min Chen, Pietro Perona
Issue Date:June 2002
pp. 356
We analyze the problem of recovering the shape of a mirror surface. A calibrated scene composed of lines passing through a point is assumed. The lines are reflected by the mirror surface onto the image plane of a calibrated camera, where the intersection, ...
 
Implementation of a Shadow Carving System for Shape Capture
Found in: 3D Data Processing Visualization and Transmission, International Symposium on
By Silvio Savarese, Holly Rushmeier, Fausto Bernardini, Pietro Perona
Issue Date:June 2002
pp. 12
We present a new technique for estimating the 3D shape of an object that combines previous ideas from shape from silhouettes and shape from shadows. We begin with a set-up for robustly extracting object silhouettes by casting a shadow of the object with a ...
 
Local Analysis for 3D Reconstruction of Specular Surfaces
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Silvio Savarese, Pietro Perona
Issue Date:December 2001
pp. 738
We explore the geometry linking the shape of a curved mirror surface to the distortions it produces on a scene it reflects. Our analysis is local and differential. We assume a simple calibrated scene composed of lines passing through a point. We demonstrat...
 
Shadow Carving
Found in: Computer Vision, IEEE International Conference on
By Silvio Savarese, Holly Rushmeier, Fausto Bernardini, Pietro Perona
Issue Date:July 2001
pp. 190
The shape of an object may be estimated by observing the shadows on its surface. We present a method that is robust with respect to a conservative classification of shadow regions. Assuming that a conservative estimate of the object shape is available, we ...
 
Relating Things and Stuff via ObjectProperty Interactions
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Min Sun,Byung-soo Kim,Pushmeet Kohli,Silvio Savarese
Issue Date:July 2014
pp. 1370-1383
In the last few years, substantially different approaches have been adopted for segmenting and detecting “things” (object categories that have a well defined shape such as people and cars) and “stuff” (object categories which have an amorphous spatial exte...
 
Beyond PASCAL: A benchmark for 3D object detection in the wild
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Yu Xiang,Roozbeh Mottaghi,Silvio Savarese
Issue Date:March 2014
pp. 75-82
3D object detection and pose estimation methods have become popular in recent years since they can handle ambiguities in 2D images and also provide a richer description for objects compared to 2D object detectors. However, most of the datasets for 3D recog...
   
Understanding the 3D layout of a cluttered room from multiple images
Found in: 2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Sid Yingze Bao,Axel Furlan,Li Fei-Fei,Silvio Savarese
Issue Date:March 2014
pp. 690-697
We present a novel framework for robustly understanding the geometrical and semantic structure of a cluttered room from a small number of images captured from different viewpoints. The tasks we seek to address include: i) estimating the 3D layout of the ro...
   
Understanding Collective Activities of People from Videos
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Wongun Choi,Silvio Savarese
Issue Date:November 2013
pp. 1
This paper presents a principled framework for analyzing collective activities at different levels of semantic granularity from videos. Our framework is capable of jointly tracking multiple individuals, recognizing activities performed by individuals in is...
 
Relating Things and Stuff via Object Property Interactions
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Min Sun,Byung-soo Kim,Pushmeet Kohli,Silvio Savarese
Issue Date:October 2013
pp. 1
In the last few years, substantially different approaches have been adopted for segmenting and detecting "things" (object categories that have a well defined shape such as people and cars) and "stuff" (object categories which have an am...
 
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Roni Mittelman,Honglak Lee,Benjamin Kuipers,Silvio Savarese
Issue Date:June 2013
pp. 476-483
The use of semantic attributes in computer vision problems has been gaining increased popularity in recent years. Attributes provide an intermediate feature representation in between low-level features and the class categories, and offer several attractive...
 
Accurate Localization of 3D Objects from RGB-D Data Using Segmentation Hypotheses
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Byung-soo Kim,Shili Xu,Silvio Savarese
Issue Date:June 2013
pp. 3182-3189
In this paper we focus on the problem of detecting objects in 3D from RGB-D images. We propose a novel framework that explores the compatibility between segmentation hypotheses of the object in the image and the corresponding 3D map. Our framework allows t...
 
Dense Object Reconstruction with Semantic Priors
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Sid Yingze Bao,Manmohan Chandraker,Yuanqing Lin,Silvio Savarese
Issue Date:June 2013
pp. 1264-1271
We present a dense reconstruction approach that overcomes the drawbacks of traditional multiview stereo by incorporating semantic information in the form of learned category-level shape priors and object detection. Given training data comprised of 3D scans...
 
Understanding Indoor Scenes Using 3D Geometric Phrases
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Wongun Choi,Yu-Wei Chao,Caroline Pantofaru,Silvio Savarese
Issue Date:June 2013
pp. 33-40
Visual scene understanding is a difficult problem interleaving object detection, geometric reasoning and scene classification. We present a hierarchical scene model for learning and reasoning about complex indoor scenes which is computationally tractable, ...
 
What do reflections tell us about the shape of a mirror?
Found in: Proceedings of the 1st Symposium on Applied perception in graphics and visualization (APGV '04)
By Li Fei-Fei, Pietro Perona, Silvio Savarese
Issue Date:August 2004
pp. 115-118
Three-dimensional shape may be perceived from static images. Contours, shading, texture gradients, perspective and occlusion are well-studied cues to this percept. When looking at a picture of a specular object, such as a silver vase, one additional cue is...
     
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