b'Jiaqi Yang'

research

∙ 08/17/2023

MV-ROPE: Multi-view Constraints for Robust Category-level Object Pose and Size Estimation

We propose a novel framework for RGB-based category-level 6D object pose...

0 Jiaqi Yang, et al. ∙

research

∙ 07/24/2023

Revisiting Event-based Video Frame Interpolation

Dynamic vision sensors or event cameras provide rich complementary infor...

0 Jiaben Chen, et al. ∙

research

∙ 05/18/2023

3D Registration with Maximal Cliques

As a fundamental problem in computer vision, 3D point cloud registration...

0 Xiyu Zhang, et al. ∙

research

∙ 03/17/2023

Hierarchical Prior Mining for Non-local Multi-View Stereo

As a fundamental problem in computer vision, multi-view stereo (MVS) aim...

0 Chunlin Ren, et al. ∙

research

∙ 03/16/2023

MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency

3D single object tracking (SOT) is an indispensable part of automated dr...

0 Qiao Wu, et al. ∙

research

∙ 03/14/2023

PSNet: a deep learning model based digital phase shifting algorithm from a single fringe image

As the gold standard for phase retrieval, phase-shifting algorithm (PS) ...

0 Zhaoshuai Qi, et al. ∙

research

∙ 02/03/2023

Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased

There is a recent trend of applying multi-agent reinforcement learning (...

0 Chao Yu, et al. ∙

research

∙ 12/07/2022

iQuery: Instruments as Queries for Audio-Visual Sound Separation

Current audio-visual separation methods share a standard architecture de...

0 Jiaben Chen, et al. ∙

research

∙ 11/18/2022

Multi-view Inverse Rendering for Large-scale Real-world Indoor Scenes

We present a multi-view inverse rendering method for large-scale real-wo...

0 Zhen Li, et al. ∙

research

∙ 07/04/2022

VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM

Event cameras have recently gained in popularity as they hold strong pot...

0 Ling Gao, et al. ∙

research

∙ 06/24/2022

Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning

It has been a recent trend to leverage the power of supervised learning ...

0 Yunfei Li, et al. ∙

research

∙ 06/15/2022

Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning

Many advances in cooperative multi-agent reinforcement learning (MARL) a...

0 Wei Fu, et al. ∙

research

∙ 03/29/2022

Nearly Minimax Algorithms for Linear Bandits with Shared Representation

We give novel algorithms for multi-task and lifelong linear bandits with...

0 Jiaqi Yang, et al. ∙

research

∙ 03/19/2022

Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction

Semantic 3D keypoints are category-level semantic consistent points on 3...

4 Haocheng Yuan, et al. ∙

research

∙ 02/07/2022

A Topology-Attention ConvLSTM Network and Its Application to EM Images

Structural accuracy of segmentation is important for finescale structure...

3 Jiaqi Yang, et al. ∙

research

∙ 02/05/2022

DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions

We present a novel real-time visual odometry framework for a stereo setu...

0 Yi-Fan Zuo, et al. ∙

research

∙ 11/11/2021

Persistence of Periodic Orbits under State-dependent Delayed Perturbations: Computer-assisted Proofs

A computer-assisted argument is given, which provides existence proofs f...

0 Joan Gimeno, et al. ∙

research

∙ 10/03/2021

A Robust Scheme for 3D Point Cloud Copy Detection

Most existing 3D geometry copy detection research focused on 3D watermar...

0 Jiaqi Yang, et al. ∙

research

∙ 07/14/2021

Going Beyond Linear RL: Sample Efficient Neural Function Approximation

Deep Reinforcement Learning (RL) powered by neural net approximation of ...

4 Baihe Huang, et al. ∙

research

∙ 07/09/2021

Optimal Gradient-based Algorithms for Non-concave Bandit Optimization

Bandit problems with linear or concave reward have been extensively stud...

10 Baihe Huang, et al. ∙

research

∙ 04/26/2021

Dynamic Degradation for Image Restoration and Fusion

The deep-learning-based image restoration and fusion methods have achiev...

3 Aiqing Fang, et al. ∙

research

∙ 03/02/2021

Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery

As the COVID-19 epidemic began to worsen in the first months of 2020, st...

1 Chen Wu, et al. ∙

research

∙ 02/08/2021

Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature

This paper studies model-based bandit and reinforcement learning (RL) wi...

0 Kefan Dong, et al. ∙

research

∙ 01/29/2021

Variance-Aware Confidence Set: Variance-Dependent Bound for Linear Bandits and Horizon-Free Bound for Linear Mixture MDP

We show how to construct variance-aware confidence sets for linear bandi...

0 Zihan Zhang, et al. ∙

research

∙ 01/03/2021

Consensus-Guided Correspondence Denoising

Correspondence selection between two groups of feature points aims to co...

2 Chen Zhao, et al. ∙

research

∙ 11/19/2020

Fully Gap-Dependent Bounds for Multinomial Logit Bandit

We study the multinomial logit (MNL) bandit problem, where at each time ...

0 Jiaqi Yang, et al. ∙

research

∙ 11/10/2020

On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration

This paper focuses on developing efficient and robust evaluation metrics...

7 Jiaqi Yang, et al. ∙

research

∙ 10/05/2020

AE-Netv2: Optimization of Image Fusion Efficiency and Network Architecture

Existing image fusion methods pay few research attention to image fusion...

0 Aiqing Fang, et al. ∙

research

∙ 07/21/2020

3D Correspondence Grouping with Compatibility Features

We present a simple yet effective method for 3D correspondence grouping....

0 Jiaqi Yang, et al. ∙

research

∙ 07/17/2020

AE-Net: Autonomous Evolution Image Fusion Method Inspired by Human Cognitive Mechanism

In order to solve the robustness and generality problems of the image fu...

0 Aiqing Fang, et al. ∙

research

∙ 07/04/2020

Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design

Motivated by practical needs such as large-scale learning, we study the ...

0 Yufei Ruan, et al. ∙

research

∙ 05/12/2020

Numerical computation of periodic orbits and isochrons for state-dependent delay perturbation of an ODE in the plane

We present algorithms and their implementation to compute limit cycles a...

0 Joan Gimeno, et al. ∙

research

∙ 01/22/2020

LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching

The local reference frame (LRF) acts as a critical role in 3D local shap...

7 Angfan Zhu, et al. ∙

research

∙ 11/01/2019

Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology

Point cloud analysis is a basic task in 3D computer vision, which attrac...

32 Chen Zhao, et al. ∙

research

∙ 09/03/2019

Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence

Matching corresponding features between two images is a fundamental task...

5 Chen Zhao, et al. ∙

research

∙ 07/05/2019

A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching

Seeking consistent point-to-point correspondences between 3D rigid data ...

2 Jiaqi Yang, et al. ∙

research

∙ 06/29/2019

Evaluating Local Geometric Feature Representations for 3D Rigid Data Matching

Local geometric descriptors remain an essential component for 3D rigid d...

0 Jiaqi Yang, et al. ∙

research

∙ 04/30/2019

Comparative evaluation of 2D feature correspondence selection algorithms

Correspondence selection aiming at seeking correct feature correspondenc...

24 Chen Zhao, et al. ∙

research

∙ 04/27/2019

Learning to Fuse Local Geometric Features for 3D Rigid Data Matching

This paper presents a simple yet very effective data-driven approach to ...

0 Jiaqi Yang, et al. ∙

research

∙ 03/31/2019

NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences

Feature correspondence selection is pivotal to many feature-matching bas...

0 Chen Zhao, et al. ∙

research

∙ 04/06/2018

Performance Evaluation of 3D Correspondence Grouping Algorithms

This paper presents a thorough evaluation of several widely-used 3D corr...

0 Jiaqi Yang, et al. ∙

Jiaqi Yang

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