Ruixiang Zhang

Orcid: 0000-0003-0704-2484

According to our database1, Ruixiang Zhang authored at least 31 papers between 2011 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
HAVANA: Hard Negative Sample-Aware Self-Supervised Contrastive Learning for Airborne Laser Scanning Point Cloud Semantic Segmentation.
Remote. Sens., February, 2024

Robust Tiny Object Detection in Aerial Images amidst Label Noise.
CoRR, 2024

2023
IPCONV: Convolution with Multiple Different Kernels for Point Cloud Semantic Segmentation.
Remote. Sens., November, 2023

Fine-Grained Ship Detection in High-Resolution Satellite Images With Shape-Aware Feature Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images.
CoRR, 2023

Robust and Controllable Object-Centric Learning through Energy-based Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Hierarchical Prediction and Adversarial Learning For Conditional Response Generation.
IEEE Trans. Knowl. Data Eng., 2022

Optical-Enhanced Oil Tank Detection in High-Resolution SAR Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation.
IEEE Robotics Autom. Lett., 2022

HAVANA: Hard negAtiVe sAmples aware self-supervised coNtrastive leArning for Airborne laser scanning point clouds semantic segmentation.
CoRR, 2022

Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation.
CoRR, 2022

Learning Representation from Neural Fisher Kernel with Low-rank Approximation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Accurate Bridge Detection in Aerial Images With an Auxiliary Waterbody Extraction Task.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

An Attention Free Transformer.
CoRR, 2021

RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders.
CoRR, 2020

Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective.
CoRR, 2020

Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Edge-Driven Object Matching for UAV Images and Satellite SAR Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Tiny Object Detection in Aerial Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Mental Retrieval of Large-Scale Satellite Images Via Learned Sketch-Image Deep Features.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Perceptual Generative Autoencoders.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018
MetaGAN: An Adversarial Approach to Few-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Highly incidental patterns on a quadratic hypersurface in R<sup>4</sup>.
Discret. Math., 2017

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks.
CoRR, 2017

Understanding Hidden Memories of Recurrent Neural Networks.
Proceedings of the 12th IEEE Conference on Visual Analytics Science and Technology, 2017

2012
Design and implementation of an autonomous climbing robot.
PhD thesis, 2012

2011
On the Number of Ordinary Circles Determined by <i>n</i> Points.
Discret. Comput. Geom., 2011


  Loading...