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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...
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07/24/2023
Revisiting Event-based Video Frame Interpolation
Dynamic vision sensors or event cameras provide rich complementary infor...
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05/18/2023
3D Registration with Maximal Cliques
As a fundamental problem in computer vision, 3D point cloud registration...
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03/17/2023
Hierarchical Prior Mining for Non-local Multi-View Stereo
As a fundamental problem in computer vision, multi-view stereo (MVS) aim...
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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...
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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) ...
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02/03/2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
There is a recent trend of applying multi-agent reinforcement learning (...
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12/07/2022
iQuery: Instruments as Queries for Audio-Visual Sound Separation
Current audio-visual separation methods share a standard architecture de...
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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...
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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...
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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 ...
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06/15/2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Many advances in cooperative multi-agent reinforcement learning (MARL) a...
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03/29/2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation
We give novel algorithms for multi-task and lifelong linear bandits with...
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03/19/2022
Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction
Semantic 3D keypoints are category-level semantic consistent points on 3...
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02/07/2022
A Topology-Attention ConvLSTM Network and Its Application to EM Images
Structural accuracy of segmentation is important for finescale structure...
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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...
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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...
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10/03/2021
A Robust Scheme for 3D Point Cloud Copy Detection
Most existing 3D geometry copy detection research focused on 3D watermar...
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07/14/2021
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Deep Reinforcement Learning (RL) powered by neural net approximation of ...
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07/09/2021
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
Bandit problems with linear or concave reward have been extensively stud...
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04/26/2021
Dynamic Degradation for Image Restoration and Fusion
The deep-learning-based image restoration and fusion methods have achiev...
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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...
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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...
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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...
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01/03/2021
Consensus-Guided Correspondence Denoising
Correspondence selection between two groups of feature points aims to co...
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11/19/2020
Fully Gap-Dependent Bounds for Multinomial Logit Bandit
We study the multinomial logit (MNL) bandit problem, where at each time ...
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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...
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10/05/2020
AE-Netv2: Optimization of Image Fusion Efficiency and Network Architecture
Existing image fusion methods pay few research attention to image fusion...
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07/21/2020
3D Correspondence Grouping with Compatibility Features
We present a simple yet effective method for 3D correspondence grouping....
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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...
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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 ...
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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...
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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...
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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...
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09/03/2019
Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence
Matching corresponding features between two images is a fundamental task...
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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 ...
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06/29/2019
Evaluating Local Geometric Feature Representations for 3D Rigid Data Matching
Local geometric descriptors remain an essential component for 3D rigid d...
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04/30/2019
Comparative evaluation of 2D feature correspondence selection algorithms
Correspondence selection aiming at seeking correct feature correspondenc...
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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 ...
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03/31/2019
NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences
Feature correspondence selection is pivotal to many feature-matching bas...
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04/06/2018
