VLN-CE is a recently released embodied task, where AI agents need to nav...
In this paper, we present a polynomial time 2-approximation algorithm fo...
Without explicit feedback, humans can rapidly learn the meaning of words...
Knowledge Graph Embedding (KGE) is a fundamental technique that extracts...
We introduce SceneDiffuser, a conditional generative model for 3D scene
...
With the emergence of varied visual navigation tasks (e.g,
image-/object...
Learning to generate diverse scene-aware and goal-oriented human motions...
This paper presents a lightweight, efficient calibration neural network ...
Survival random forest is a popular machine learning tool for modeling
c...
Since the rise of vision-language navigation (VLN), great progress has b...
Scene Rearrangement Planning (SRP) is an interior task proposed recently...
Recently, numerous algorithms have been developed to tackle the problem ...
In this paper, we propose a data-adaptive empirical likelihood approach ...
There has been growing attention on how to effectively and objectively u...
Vision-language navigation (VLN) is the task of entailing an agent to ca...
IP protocol is the core of TCP/IP network layer. However, since IP addre...
Presently, deep learning technology has been widely used in the field of...
The Internet has become the most important infrastructure of modern soci...
Offline handwritten mathematical expression recognition is a challenging...
Synthesizing 3D faces that give certain personality impressions is commo...
3D object reconstruction is a fundamental task of many robotics and AI
p...
Cell division timing is critical for cell fate specification and
morphog...