We propose a novel framework for RGB-based category-level 6D object pose...
Dynamic vision sensors or event cameras provide rich complementary
infor...
As a fundamental problem in computer vision, 3D point cloud registration...
As a fundamental problem in computer vision, multi-view stereo (MVS) aim...
3D single object tracking (SOT) is an indispensable part of automated
dr...
As the gold standard for phase retrieval, phase-shifting algorithm (PS) ...
There is a recent trend of applying multi-agent reinforcement learning (...
Current audio-visual separation methods share a standard architecture de...
We present a multi-view inverse rendering method for large-scale real-wo...
Event cameras have recently gained in popularity as they hold strong
pot...
It has been a recent trend to leverage the power of supervised learning ...
Many advances in cooperative multi-agent reinforcement learning (MARL) a...
We give novel algorithms for multi-task and lifelong linear bandits with...
Semantic 3D keypoints are category-level semantic consistent points on 3...
Structural accuracy of segmentation is important for finescale structure...
We present a novel real-time visual odometry framework for a stereo setu...
A computer-assisted argument is given, which provides existence proofs f...
Most existing 3D geometry copy detection research focused on 3D watermar...
Deep Reinforcement Learning (RL) powered by neural net approximation of ...
Bandit problems with linear or concave reward have been extensively stud...
The deep-learning-based image restoration and fusion methods have achiev...
As the COVID-19 epidemic began to worsen in the first months of 2020,
st...
This paper studies model-based bandit and reinforcement learning (RL) wi...
We show how to construct variance-aware confidence sets for linear bandi...
Correspondence selection between two groups of feature points aims to
co...
We study the multinomial logit (MNL) bandit problem, where at each time ...
This paper focuses on developing efficient and robust evaluation metrics...
Existing image fusion methods pay few research attention to image fusion...
We present a simple yet effective method for 3D correspondence grouping....
In order to solve the robustness and generality problems of the image fu...
Motivated by practical needs such as large-scale learning, we study the
...
We present algorithms and their implementation to compute limit cycles a...
The local reference frame (LRF) acts as a critical role in 3D local shap...
Point cloud analysis is a basic task in 3D computer vision, which attrac...
Matching corresponding features between two images is a fundamental task...
Seeking consistent point-to-point correspondences between 3D rigid data
...
Local geometric descriptors remain an essential component for 3D rigid d...
Correspondence selection aiming at seeking correct feature correspondenc...
This paper presents a simple yet very effective data-driven approach to ...
Feature correspondence selection is pivotal to many feature-matching bas...
This paper presents a thorough evaluation of several widely-used 3D
corr...