We present a novel learning algorithm for trajectory generation for outd...
It is a big challenge to develop efficient models for identifying
person...
We present CrossLoc3D, a novel 3D place recognition method that solves a...
We present a novel algorithm for learning-based loop-closure for SLAM
(s...
The Chinese venture capital (VC) market is a young and rapidly expanding...
Synthetic images created by image editing operations are prevalent, but ...
Inharmonious region localization aims to localize the region in a synthe...
We present a novel differentiable weighted generalized iterative closest...
We present Multiple Scenario Verifiable Reinforcement Learning via Polic...
We present a novel trajectory traversability estimation and planning
alg...
Finding optimal message quantization is a key requirement for low comple...
We present a novel outdoor navigation algorithm to generate stable and
e...
We present TerraPN, a novel method that learns the surface properties
(t...
Given a composite image, image harmonization aims to adjust the foregrou...
This work studies the problem of image-goal navigation, which entails gu...
Superimposing visible watermarks on images provides a powerful weapon to...
As a common image editing operation, image composition aims to cut the
f...
We present a novel sensor-based learning navigation algorithm to compute...
The advance of image editing techniques allows users to create artistic
...
We present JueWu-SL, the first supervised-learning-based artificial
inte...
Image composition is a fundamental operation in image editing field. How...
Learning to generate new images for a novel category based on only a few...
COVID-19 pandemic has become a global challenge faced by people all over...
We present a novel algorithm for safe navigation of a mobile robot among...
We present a novel learning-based collision avoidance algorithm, CrowdSt...
We present a novel high fidelity 3-D simulator that significantly reduce...
We present DenseCAvoid, a novel navigation algorithm for navigating a ro...
The next challenge of game AI lies in Real Time Strategy (RTS) games. RT...
In this paper, we consider using deep neural network for OFDM symbol
det...