Label consistent K-SVD: Learning a discriminative dictionary for recognition
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse
coding is presented. In addition to using class labels of training data, we also associate label …
coding is presented. In addition to using class labels of training data, we also associate label …
Recognizing realistic actions from videos “in the wild”
In this paper, we present a systematic framework for recognizing realistic actions from videos
“in the wild.” Such unconstrained videos are abundant in personal collections as well as on …
“in the wild.” Such unconstrained videos are abundant in personal collections as well as on …
What makes paris look like paris?
Given a large repository of geo-tagged imagery, we seek to automatically find visual
elements, for example windows, balconies, and street signs, that are most distinctive for a …
elements, for example windows, balconies, and street signs, that are most distinctive for a …
Multiple kernels for object detection
Our objective is to obtain a state-of-the art object category detector by employing a state-of-
the-art image classifier to search for the object in all possible image sub-windows. We use …
the-art image classifier to search for the object in all possible image sub-windows. We use …
Class segmentation and object localization with superpixel neighborhoods
We propose a method to identify and localize object classes in images. Instead of operating
at the pixel level, we advocate the use of superpixels as the basic unit of a class …
at the pixel level, we advocate the use of superpixels as the basic unit of a class …
A food recognition system for diabetic patients based on an optimized bag-of-features model
MM Anthimopoulos, L Gianola… - IEEE journal of …, 2014 - ieeexplore.ieee.org
Computer vision-based food recognition could be used to estimate a meal's carbohydrate
content for diabetic patients. This study proposes a methodology for automatic food …
content for diabetic patients. This study proposes a methodology for automatic food …
CRF learning with CNN features for image segmentation
Abstract Conditional Random Rields (CRF) have been widely applied in image
segmentations. While most studies rely on hand-crafted features, we here propose to exploit …
segmentations. While most studies rely on hand-crafted features, we here propose to exploit …
Supervised dictionary learning and sparse representation-a review
Dictionary learning and sparse representation (DLSR) is a recent and successful
mathematical model for data representation that achieves state-of-the-art performance in …
mathematical model for data representation that achieves state-of-the-art performance in …
Multi-target tracking by on-line learned discriminative appearance models
We present an approach for online learning of discriminative appearance models for robust
multi-target tracking in a crowded scene from a single camera. Although much progress has …
multi-target tracking in a crowded scene from a single camera. Although much progress has …
Pose estimation for category specific multiview object localization
We propose an approach to overcome the two main challenges of 3D multiview object
detection and localization: The variation of object features due to changes in the viewpoint …
detection and localization: The variation of object features due to changes in the viewpoint …