research
∙
09/12/2023
Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
The use of anthropomorphic robotic hands for assisting individuals in si...
share
research
∙
08/23/2023
ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization
The radiance fields style transfer is an emerging field that has recentl...
research
∙
07/06/2023
IPO-LDM: Depth-aided 360-degree Indoor RGB Panorama Outpainting via Latent Diffusion Model
Generating complete 360-degree panoramas from narrow field of view image...
research
∙
07/03/2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback
Multi armed bandit (MAB) algorithms have been increasingly used to compl...
research
∙
06/15/2023
Neural Fields with Hard Constraints of Arbitrary Differential Order
While deep learning techniques have become extremely popular for solving...
research
∙
03/24/2023
Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views
Neural view synthesis (NVS) is one of the most successful techniques for...
research
∙
03/17/2023
αSurf: Implicit Surface Reconstruction for Semi-Transparent and Thin Objects with Decoupled Geometry and Opacity
Implicit surface representations such as the signed distance function (S...
research
∙
02/03/2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
We study stochastic delayed feedback in general multi-agent sequential d...
research
∙
09/28/2022
MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection
Space-based infrared tiny ship detection aims at separating tiny ships f...
research
∙
05/31/2022
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video
Given a monocular video, segmenting and decoupling dynamic objects while...
research
∙
03/04/2022
GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning
Grasping moving objects, such as goods on a belt or living animals, is a...
research
∙
03/01/2022
T^3OMVP: A Transformer-based Time and Team Reinforcement Learning Scheme for Observation-constrained Multi-Vehicle Pursuit in Urban Area
Smart Internet of Vehicles (IoVs) combined with Artificial Intelligence ...
research
∙
12/21/2021
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
Policy optimization methods are one of the most widely used classes of R...
research
∙
12/19/2021
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment
Part assembly is a typical but challenging task in robotics, where robot...
research
∙
08/09/2021
A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles
Federated Deep Learning (FDL) is helping to realize distributed machine ...
research
∙
06/28/2021
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
Perceiving and manipulating 3D articulated objects (e.g., cabinets, door...
research
∙
06/22/2021
A Unified Framework for Conservative Exploration
We study bandits and reinforcement learning (RL) subject to a conservati...
research
∙
05/05/2021
Density-Aware Federated Imitation Learning for Connected and Automated Vehicles with Unsignalized Intersection
Intelligent Transportation System (ITS) has become one of the essential ...
research
∙
12/01/2020
A Multi-intersection Vehicular Cooperative Control based on End-Edge-Cloud Computing
Cooperative Intelligent Transportation Systems (C-ITS) will change the m...
research
∙
09/22/2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Network pruning is a method for reducing test-time computational resourc...
research
∙
07/07/2020
Light Field Image Super-Resolution Using Deformable Convolution
Light field (LF) cameras can record scenes from multiple perspectives, a...
research
∙
03/25/2020
Value-Decomposition Networks based Distributed Interference Control in Multi-platoon Groupcast
Platooning is considered one of the most representative 5G use cases. Du...
research
∙
12/10/2019