Geodesic models are known as an efficient tool for solving various image...
In this paper, we introduce an efficient method for computing curves
min...
Practical object detection application can lose its effectiveness on ima...
The minimal geodesic models based on the Eikonal equations are capable o...
In this paper, we focus our attention on the mitigation of beam squint f...
Minimal paths are considered as a powerful and efficient tool for bounda...
The geodesic distance-based dual-front curve evolution model is a powerf...
Tubular structure tracking is an important and difficult problem in the
...
Knowledge Distillation (KD) has made remarkable progress in the last few...
The minimal path model based on the Eikonal partial differential equatio...
Few-shot image classification requires the classifier to robustly cope w...
Few-shot image classification aims to classify unseen classes with limit...
In this chapter, we give an overview of part of our previous work based ...
The fifth generation (5G) systems are expected to be able to support mas...
In this paper, a novel covariance-based channel feedback mechanism is
in...
Deep neural network models have recently draw lots of attention, as it
c...
The minimal path method has proven to be particularly useful and efficie...
This paper investigates the spectral efficiency of multi-cell massive
mu...
In this paper, we propose an extended sub-connected architecture with
ar...
In this paper, we propose an extended sub-connected architecture with
ar...
This paper investigates the spectral efficiency performance of the cell-...
In this paper, we focus on the design of the hybrid analog/digital preco...
In this paper, we focus on the design of low complexity hybrid analog/di...
In this paper, we consider the problem of preamble design in multiple-in...
In this paper, the feasibility of a new downlink transmission mode in ma...
In this paper, we propose a new minimal path model for minimally interac...
In this paper, we introduce a generalized asymmetric fronts propagation ...
In this paper, we propose a novel curvature-penalized minimal path model...
Motion estimation for highly dynamic phenomena such as smoke is an open
...