research
∙
09/10/2023
Convex Q Learning in a Stochastic Environment: Extended Version
The paper introduces the first formulation of convex Q-learning for Mark...
share
research
∙
07/20/2023
Urban Radiance Field Representation with Deformable Neural Mesh Primitives
Neural Radiance Fields (NeRFs) have achieved great success in the past f...
research
∙
03/27/2023
NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
In recent years, there has been a significant increase in focus on the i...
research
∙
03/18/2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
Semantically coherent out-of-distribution (SCOOD) detection aims to disc...
research
∙
10/17/2022
Sufficient Exploration for Convex Q-learning
In recent years there has been a collective research effort to find new ...
research
∙
10/14/2022
Model-Free Characterizations of the Hamilton-Jacobi-Bellman Equation and Convex Q-Learning in Continuous Time
Convex Q-learning is a recent approach to reinforcement learning, motiva...
research
∙
02/12/2022
Modeling User Behavior with Graph Convolution for Personalized Product Search
User preference modeling is a vital yet challenging problem in personali...
research
∙
07/26/2021
HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
Point cloud registration is a fundamental problem in 3D computer vision....
research
∙
04/07/2021
ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize action i...
research
∙
12/18/2020
PointINet: Point Cloud Frame Interpolation Network
LiDAR point cloud streams are usually sparse in time dimension, which is...
research
∙
11/21/2020
MoNet: Motion-based Point Cloud Prediction Network
Predicting the future can significantly improve the safety of intelligen...
research
∙
11/16/2020
LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection
Online action detection is a task with the aim of identifying ongoing ac...
research
∙
10/23/2020
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
Keypoint detector and descriptor are two main components of point cloud ...
research
∙
10/06/2020
SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling
Slot filling and intent detection are two main tasks in spoken language ...
research
∙
11/15/2019
Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning
We propose a deep reinforcement learning (DRL) methodology for the track...
research
∙
04/16/2019
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
The I4U consortium was established to facilitate a joint entry to NIST s...
research
∙
12/23/2018
