A Novel Estimation Method in Generalized Single Index Models
The single index and generalized single index models have been demonstrated to be a powerful tool for studying nonlinear interaction effects of variables in the low-dimensional case. In this articl…
Background-Click Supervision for Temporal Action Localization
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confusion. To overcome…
Weakly Supervised Object Localization and Detection : A Survey
As an emerging and challenging problem in the computer vision community, weakly supervised object localization and detection plays an important role for developing new generation computer vision sy…
Re-Thinking Co-Salient Object Detection
In this article, we conduct a comprehensive study on the co-salient object detection (CoSOD) problem for images. CoSOD is an emerging and rapidly growing extension of salient object detection (SOD)…
Part-Object Relational Visual Saliency
Recent years have witnessed a big leap in automatic visual saliency detection attributed to advances in deep learning, especially Convolutional Neural Networks (CNNs). However, inferring the salien…
Weakly Supervised Object Detection Using Proposal- and Semantic-Level Relatio…
In recent years, weakly supervised object detection has attracted great attention in the computer vision community. Although numerous deep learning-based approaches have been proposed in the past f…
Design and Implementation of 5G e-Health Systems : Technologies, Use Cases, a…
The fifth generation (5G) aims to connect massive amounts of devices with higher reliability, lower latency, and faster transmission speed, which are vital for implementing e-health systems. Howeve…
Evaluation of Saccadic Scanpath Prediction: Subjective Assessment Database an…
In recent years, predicting the saccadic scanpaths of humans has become a new trend in the field of visual attention modeling. Given various saccadic algorithms, determining how to evaluate their a…
Iterative Likelihood : A Unified Inference Tool
We propose a framework for inference based on an “iterative likelihood function,” which provides a unified representation for a number of iterative approaches, including the EM algorithm and th…
Weakly-Supervised Learning of Category-Specific 3D Object Shapes
Category-specific 3D object shape models have greatly boosted the recent advances in object detection, recognition and segmentation. However, even the most advanced approach for learning 3D object …
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