Renal pathology, as the gold standard of kidney disease diagnosis, requi...
Existing offboard 3D detectors always follow a modular pipeline design t...
In real-world applications of reinforcement learning, it is often challe...
LiDAR-camera fusion methods have shown impressive performance in 3D obje...
In-memory key-value stores (IMKVSes) serve many online applications beca...
Accurate sensor calibration is a prerequisite for multi-sensor perceptio...
Point cloud completion is a generation and estimation issue derived from...
Generating images with conditional descriptions gains increasing interes...
Sensor configuration, including the sensor selections and their installa...
For autonomous vehicles, an accurate calibration for LiDAR and camera is...
While deep learning technologies are now capable of generating realistic...
This paper presents multistream CNN, a novel neural network architecture...
In this paper we present state-of-the-art (SOTA) performance on the
Libr...
Self-attention has been a huge success for many downstream tasks in NLP,...
Despite some exciting progress on high-quality image generation from
str...
Financial forecasting is challenging and attractive in machine learning....