This paper presents a novel generative model for Computer Aided Design (...
POI tagging aims to annotate a point of interest (POI) with some informa...
We present SkexGen, a novel autoregressive generative model for
computer...
We introduce D3D-HOI: a dataset of monocular videos with ground truth
an...
This paper presents an explore-and-classify framework for structured
arc...
This paper is concerned with the inverse random source problem for a
sto...
We propose to detect Deepfake generated by face manipulation based on on...
This paper proposes a new and efficient numerical algorithm for recoveri...
We present a mutual information-based framework for unsupervised
image-t...
In this paper, we address a key limitation of existing 2D face recogniti...
In this paper, we focus on improving the online face liveness detection
...
In this paper we study the global well-posedness of the Allen-Cahn
Ohta-...
We study some maximum principle preserving and energy stable schemes for...
For many computer vision applications such as image captioning, visual
q...
This paper revisits the classical problem "Can we hear the density of a
...
Deep neural networks often require copious amount of labeled-data to tra...
Biometrics-related research has been accelerated significantly by deep
l...
In recent years, face detection has experienced significant performance
...
We propose to use the concept of the Hamming bound to derive the optimal...
The video-based person re-identification is to recognize a person under
...
We present a robust method for estimating the facial pose and shape
info...
Faster RCNN has achieved great success for generic object detection incl...
Most of the face recognition works focus on specific modules or demonstr...