From facial parts responses to face detection: A deep learning approach
In this paper, we propose a novel deep convolutional network (DCN) that achieves
outstanding performance on FDDB, PASCAL Face, and AFW. Specifically, our method …
outstanding performance on FDDB, PASCAL Face, and AFW. Specifically, our method …
WLD: A robust local image descriptor
Inspired by Weber's Law, this paper proposes a simple, yet very powerful and robust local
descriptor, called the Weber Local Descriptor (WLD). It is based on the fact that human …
descriptor, called the Weber Local Descriptor (WLD). It is based on the fact that human …
A fast and accurate unconstrained face detector
We propose a method to address challenges in unconstrained face detection, such as
arbitrary pose variations and occlusions. First, a new image feature called Normalized Pixel …
arbitrary pose variations and occlusions. First, a new image feature called Normalized Pixel …
Faceness-net: Face detection through deep facial part responses
We propose a deep convolutional neural network (CNN) for face detection leveraging on
facial attributes based supervision. We observe a phenomenon that part detectors emerge …
facial attributes based supervision. We observe a phenomenon that part detectors emerge …
Weber local descriptor for image analysis and recognition: a survey
Weber local descriptor (WLD) is applied for addressing the challenges in image/pattern
problems, especially in computer vision and pattern recognition domains. In this paper, we …
problems, especially in computer vision and pattern recognition domains. In this paper, we …
Detection and segmentation of multiple, partially occluded objects by grou**, merging, assigning part detection responses
We propose a method that detects and segments multiple, partially occluded objects in
images. A part hierarchy is defined for the object class. Both the segmentation and detection …
images. A part hierarchy is defined for the object class. Both the segmentation and detection …
Large-scale vehicle detection, indexing, and search in urban surveillance videos
We present a novel approach for visual detection and attribute-based search of vehicles in
crowded surveillance scenes. Large-scale processing is addressed along two dimensions …
crowded surveillance scenes. Large-scale processing is addressed along two dimensions …
Monocular visual scene understanding: Understanding multi-object traffic scenes
Following recent advances in detection, context modeling, and tracking, scene
understanding has been the focus of renewed interest in computer vision research. This …
understanding has been the focus of renewed interest in computer vision research. This …
Monocular 3d scene understanding with explicit occlusion reasoning
Scene understanding from a monocular, moving camera is a challenging problem with a
number of applications including robotics and automotive safety. While recent systems have …
number of applications including robotics and automotive safety. While recent systems have …
Components and their topology for robust face detection in the presence of partial occlusions
This paper presents a novel approach for automatic and robust object detection. It utilizes a
component-based approach that combines techniques from both statistical and structural …
component-based approach that combines techniques from both statistical and structural …