Reconstructing interacting hands from monocular images is indispensable ...
Acquiring contact patterns between hands and nonrigid objects is a commo...
Robust obstacle avoidance is one of the critical steps for successful
go...
Large language models (LLMs), such as ChatGPT, have emerged with astonis...
Directed grey-box fuzzing (DGF) is a target-guided fuzzing intended for
...
New classes of sounds constantly emerge with a few samples, making it
ch...
We construct the first markerless deformable interaction dataset recordi...
Image watermarking is a technique for hiding information into images tha...
For reinforcement learning on complex stochastic systems where many fact...
We extend the idea underlying the success of green simulation assisted p...
Driven by the critical needs of biomanufacturing 4.0, we present a
proba...
Physical contact provides additional constraints for hand-object state
r...
Video super-resolution is currently one of the most active research topi...
Motivated by critical challenges and needs from biopharmaceuticals
manuf...
Driven by the key challenges of cell therapy manufacturing, including hi...
This study is motivated by the critical challenges in the biopharmaceuti...
Patients with severe Coronavirus disease 19 (COVID-19) typically require...
Biopharmaceutical manufacturing is a rapidly growing industry with impac...
Person Search is designed to jointly solve the problems of Person Detect...
In the biopharmaceutical manufacturing, fermentation process plays a cri...
When we use simulation to evaluate the performance of a stochastic syste...
Comorbid chronic conditions are common among people with type 2 diabetes...
After being legalized as an agricultural commodity by the 2018 U.S. Farm...
With the passage of the 2018 U.S. Farm Bill, Industrial Hemp production ...
Biopharmaceutical manufacturing faces critical challenges, including
com...
To integrate strategic, tactical and operational decisions, the two-stag...
Quantile is an important risk measure quantifying the stochastic system
...
When we use simulation to assess the performance of stochastic systems, ...
Safeguarding privacy in machine learning is highly desirable, especially...
In this paper, we propose a novel learning framework for the problem of
...