Denoising diffusion models have enabled high-quality image generation an...
The field of trajectory forecasting has grown significantly in recent ye...
The idea of decision-aware model learning, that models should be accurat...
Recent advances in 2D zero-shot and few-shot recognition often leverage ...
As learning-based methods make their way from perception systems to
plan...
Object-centric learning aims to represent visual data with a set of obje...
The popularity of Neural Radiance Fields (NeRFs) for view synthesis has ...
Animating an object in 3D often requires an articulated structure, e.g. ...
Building animatable and editable models of clothed humans from raw 3D sc...
Camera pose estimation is a key step in standard 3D reconstruction pipel...
Neural Radiance Fields (NeRFs) have emerged as a popular approach for no...
While there has been substantial success in applying actor-critic method...
Cognitive planning is the structural decomposition of complex tasks into...
Obtaining 3D object representations is important for creating photo-real...
We introduce Housekeep, a benchmark to evaluate commonsense reasoning in...
Experience replay plays a crucial role in improving the sample efficienc...
Data-driven simulators promise high data-efficiency for driving policy
l...
Simulation has the potential to transform the development of robust
algo...
Reinforcement learning (RL) for continuous control typically employs
dis...
Modeling multi-modal high-level intent is important for ensuring diversi...
Learning competitive behaviors in multi-agent settings such as racing
re...
In this paper, we propose a novel approach for agent motion prediction i...
We introduce a pruning algorithm that provably sparsifies the parameters...
We present a complete map management process for a visual localization s...
We present an online landmark selection method for distributed long-term...
The growing popularity of autonomous systems creates a need for reliable...
In the absence of global positioning information, place recognition is a...
The deployment of state-of-the-art neural networks containing millions o...
Full autonomy for fixed-wing unmanned aerial vehicles (UAVs) requires th...
Over the last decades quaternions have become a crucial and very success...
Extending the maneuverability of unmanned areal vehicles promises to yie...
In this paper, we present libDirectional, a MATLAB library for direction...
Robust and accurate visual-inertial estimation is crucial to many of tod...