Jin Xie

Orcid: 0000-0001-6978-8834

Affiliations:
  • Nanjing University of Science and Technology, Nanjing, China
  • New York University Abu Dhabi, Department of Electrical and Computer Engineering, NYU Multimedia and Visual Computing Laboratory, UAE
  • Hong Kong Polytechnic University, Department of Computing, Hong Kong. (PhD)


According to our database1, Jin Xie authored at least 80 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning Robust Facial Representation From the View of Diversity and Closeness.
Int. J. Comput. Vis., February, 2024

SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Unsupervised Cross-Spectrum Depth Estimation by Visible-Light and Thermal Cameras.
IEEE Trans. Intell. Transp. Syst., October, 2023

Tube-Embedded Transformer for Pixel Prediction.
IEEE Trans. Multim., 2023

Large-scale Point Cloud Registration Based on Graph Matching Optimization.
CoRR, 2023

Transformer-based Point Cloud Generation Network.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Implicit Obstacle Map-driven Indoor Navigation Model for Robust Obstacle Avoidance.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Graph Spectral Perturbation for 3D Point Cloud Contrastive Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Graph Matching Optimization Network for Point Cloud Registration.
IROS, 2023

Self-Supervised 3D Scene Flow Estimation Guided by Superpoints.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Outlier Rejection for 3D Registration with Variational Bayes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Capitalizing on RGB-FIR Hybrid Imaging for Road Detection.
IEEE Trans. Intell. Transp. Syst., 2022

MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst., 2022

CBi-GNN: Cross-Scale Bilateral Graph Neural Network for 3D Object Detection.
IEEE Trans. Intell. Transp. Syst., 2022

Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition.
IEEE Trans. Image Process., 2022

Joint Optimal Transport With Convex Regularization for Robust Image Classification.
IEEE Trans. Cybern., 2022

Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking.
CoRR, 2022

Unsupervised Visible-light Images Guided Cross-Spectrum Depth Estimation from Dual-Modality Cameras.
CoRR, 2022

Action Candidate Driven Clipped Double Q-learning for Discrete and Continuous Action Tasks.
CoRR, 2022

Learning Superpoint Graph Cut for 3D Instance Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MLFT-Net: Point Cloud Completion Using Multi-Level Feature Transformer.
Proceedings of the 6th International Symposium on Computer Science and Intelligent Control, 2022

Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Globally Optimal Relative Pose Estimation for Multi-Camera Systems with Known Gravity Direction.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

3D Siamese Transformer Network for Single Object Tracking on Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

RA-Depth: Resolution Adaptive Self-supervised Monocular Depth Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Generative Subgraph Contrast for Self-Supervised Graph Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Emphasizing Closeness and Diversity Simultaneously for Deep Face Representation.
Proceedings of the Computer Vision - ACCV 2022, 2022

Learning Inter-superpoint Affinity for Weakly Supervised 3D Instance Segmentation.
Proceedings of the Computer Vision - ACCV 2022, 2022

Temporal-Aware Siamese Tracker: Integrate Temporal Context for 3D Object Tracking.
Proceedings of the Computer Vision - ACCV 2022, 2022

Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Reliable Inlier Evaluation for Unsupervised Point Cloud Registration.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution.
Pattern Recognit., 2021

Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition.
CoRR, 2021

Facilitating 3D Object Tracking in Point Clouds with Image Semantics and Geometry.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Improving Unsupervised Learning of Monocular Depth and Ego-Motion via Stereo Network.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Transfer Vision Patterns for Multi-Task Pixel Learning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Superpoint Network for Point Cloud Oversegmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pyramid Point Cloud Transformer for Large-Scale Place Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fast Proximal Policy Optimization.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Planar Motion Estimation for Multi-camera System.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Unsupervised Domain Adaptive Point Cloud Semantic Segmentation.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Image decomposition based matrix regression with applications to robust face recognition.
Pattern Recognit., 2020

Human-in-the-loop image segmentation and annotation.
Sci. China Inf. Sci., 2020

PUI-Net: A Point Cloud Upsampling and Inpainting Network.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Progressive Point Cloud Deconvolution Generation Network.
Proceedings of the Computer Vision - ECCV 2020, 2020

Sequential 3D Human Pose and Shape Estimation From Point Clouds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Learning on Superpoint Generation with Iterative Clustering Network.
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

Lane Detection Combining Details and Integrity: an Advanced Method for Lane Detection.
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019
Assignment Problem Based Deep Embedding.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Correlated Holistic Metric Learning for Sketch-Based 3D Shape Retrieval.
IEEE Trans. Image Process., 2018

Deep Nonlinear Metric Learning for 3-D Shape Retrieval.
IEEE Trans. Cybern., 2018

Episode-Experience Replay Based Tree-Backup Method for Off-Policy Actor-Critic Algorithm.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Learning to Synthesize 3D Indoor Scenes from Monocular Images.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Structure-Aware 3D Shape Synthesis from Single-View Images.
Proceedings of the British Machine Vision Conference 2018, 2018

Learning Adversarial 3D Model Generation With 2D Image Enhancer.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Deep Multimetric Learning for Shape-Based 3D Model Retrieval.
IEEE Trans. Multim., 2017

Progressive Shape-Distribution-Encoder for Learning 3D Shape Representation.
IEEE Trans. Image Process., 2017

DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Metric-based Generative Adversarial Network.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Linear discrimination dictionary learning for shape descriptors.
Pattern Recognit. Lett., 2016

Learning a discriminative deformation-invariant 3D shape descriptor via many-to-one encoder.
Pattern Recognit. Lett., 2016

From handcrafted to learned representations for human action recognition: A survey.
Image Vis. Comput., 2016

Dynamic texture recognition with video set based collaborative representation.
Image Vis. Comput., 2016

Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis.
Proceedings of the Computer Vision - ECCV 2016, 2016

Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Progressive Shape-Distribution-Encoder for 3D Shape Retrieval.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

3D deep shape descriptor.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015


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