In this study, we address the challenge of 3D scene structure recovery f...
The goal of text spotting is to perform text detection and recognition i...
The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 ha...
The recent advancements in image-text diffusion models have stimulated
r...
We study the classical scheduling problem on parallel machines
preceden...
We study a challenging task, conditional human motion generation, which
...
The popularity of molecular computation has given rise to several models...
Motion capture from a monocular video is fundamental and crucial for us
...
In this paper, we address monocular depth estimation with deep neural
ne...
Automatic artistic text generation is an emerging topic which receives
i...
Facial semantic guidance (facial landmarks, facial parsing maps, facial
...
We study the problem of minimizing total completion time on parallel mac...
In this paper, we design the first streaming algorithms for the problem ...
Recently, the problem of multitasking scheduling has attracted a lot of
...
Recent face reenactment works are limited by the coarse reference landma...
Very recently, Window-based Transformers, which computed self-attention
...
The rapid deployment of Internet of Things (IoT) applications leads to
m...
We develop a polynomial method on finite fields to amplify the hardness ...
For the constrained 2-means problem, we present a
O(dn+d(1ϵ)^O(1ϵ) n) ti...
We introduce polyhedra circuits. Each polyhedra circuit characterizes a
...
We develop an randomized approximation algorithm for the size of set uni...
Feature engineering has been the key to the success of many prediction
m...