Ruixiang Zhang

According to our database, Ruixiang Zhang authored at least 45 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Yunsheng Zhang, Jianguo Yao, Ruixiang Zhang, Xuying Wang, Siyang Chen, Han Fu

Remote. Sens., February, 2024

Beyond Dehazing: Learning Intrinsic Hazy Robustness for Aerial Object Detection.

Qian Hu, Yan Zhang, Ruixiang Zhang, Fang Xu, Wen Yang

IEEE Trans. Geosci. Remote. Sens., 2024

Class-Incremental Novel Category Discovery in Remote Sensing Image Scene Classification via Contrastive Learning.

Yifan Zhou, Haoran Zhu, Chang Xu, Ruixiang Zhang, Guang Hua, Wen Yang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

BuildMon: Building Extraction and Change Monitoring in Time Series Remote Sensing Images.

Yuxuan Wang, Shuailin Chen, Ruixiang Zhang, Fang Xu, Shuo Liang, Yujing Wang, Wen Yang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning.

Chang Xu, Ruixiang Zhang, Wen Yang, Haoran Zhu, Fang Xu, Jian Ding, Gui-Song Xia

CoRR, 2024

Normalizing Flows are Capable Generative Models.

Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind

CoRR, 2024

Tiny Object Detection with Single Point Supervision.

Haoran Zhu, Chang Xu, Ruixiang Zhang, Fang Xu, Wen Yang, Haijian Zhang, Gui-Song Xia

CoRR, 2024

TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models.

Georgia Gabriela Sampaio, Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Josh M. Susskind, Navdeep Jaitly, Yizhe Zhang

CoRR, 2024

Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping.

Haoran Zhu, Yifan Zhou, Chang Xu, Ruixiang Zhang, Wen Yang

CoRR, 2024

dMel: Speech Tokenization made Simple.

He Bai, Tatiana Likhomanenko, Ruixiang Zhang, Zijin Gu, Zakaria Aldeneh, Navdeep Jaitly

CoRR, 2024

Improving GFlowNets for Text-to-Image Diffusion Alignment.

Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai

CoRR, 2024

How Far Are We from Intelligent Visual Deductive Reasoning?

Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly

CoRR, 2024

Robust Tiny Object Detection in Aerial Images amidst Label Noise.

Haoran Zhu, Chang Xu, Wen Yang, Ruixiang Zhang, Yan Zhang, Gui-Song Xia

CoRR, 2024

Decoupled Multi-Teacher: Cross-Modal Learning Enhanced Object Detection in SAR Imagery.

Ruixiang Zhang, Yuxuan Wang, Haoyuan Li, Pingping Huang, Wen Yang

Proceedings of the IGARSS 2024, 2024

Cross-Resolution Distillation for Building Extraction in Medium-Resolution Satellite Imagery.

Yuxuan Wang, Shuailin Chen, Ruixiang Zhang, Fang Xu, Pingping Huang, Wen Yang

Proceedings of the IGARSS 2024, 2024

AODet: Anti-Occlusion for Enhanced Small Object Detection in Drone-Based RGBT Imagery.

Ziming Gui, Yan Zhang, Xu Lei, Ruixiang Zhang, Wen Yang

Proceedings of the IGARSS 2024, 2024

2023

IPCONV: Convolution with Multiple Different Kernels for Point Cloud Semantic Segmentation.

Ruixiang Zhang, Siyang Chen, Xuying Wang, Yunsheng Zhang

Remote. Sens., November, 2023

Fine-Grained Ship Detection in High-Resolution Satellite Images With Shape-Aware Feature Learning.

Bo Guo, Ruixiang Zhang, Haowen Guo, Wen Yang, Huai Yu, Peng Zhang, Tongyuan Zou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

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

Ruixiang Zhang, Chang Xu, Fang Xu, Wen Yang, Guangjun He, Huai Yu, Gui-Song Xia

CoRR, 2023

Robust and Controllable Object-Centric Learning through Energy-based Models.

Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.

Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Hierarchical Prediction and Adversarial Learning For Conditional Response Generation.

Yanran Li, Ruixiang Zhang, Wenjie Li, Ziqiang Cao

IEEE Trans. Knowl. Data Eng., 2022

Optical-Enhanced Oil Tank Detection in High-Resolution SAR Images.

Ruixiang Zhang, Haowen Guo, Fang Xu, Wen Yang, Huai Yu, Haijian Zhang, Gui-Song Xia

IEEE Trans. Geosci. Remote. Sens., 2022

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

Song Wang, Jianke Zhu, Ruixiang Zhang

IEEE Robotics Autom. Lett., 2022

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

Yunsheng Zhang, Jianguo Yao, Ruixiang Zhang, Siyang Chen, Haifeng Li

CoRR, 2022

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

Song Wang, Jianke Zhu, Ruixiang Zhang

CoRR, 2022

Learning Representation from Neural Fisher Kernel with Low-rank Approximation.

Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Accurate Bridge Detection in Aerial Images With an Auxiliary Waterbody Extraction Task.

Haowen Guo, Ruixiang Zhang, Yuxuan Wang, Wen Yang, Heng-Chao Li, Gui-Song Xia

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

An Attention Free Transformer.

Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind

CoRR, 2021

RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation.

Jianyun Xu, Ruixiang Zhang, Jian Dou, Yushi Zhu, Jie Sun, Shiliang Pu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.

Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Yifei Yang, Shibing Xiang, Ruixiang Zhang

CoRR, 2020

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

Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro

CoRR, 2020

Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling.

Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio

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.

Ruixiang Zhang, Fang Xu, Huai Yu, Wen Yang, Heng-Chao Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Tiny Object Detection in Aerial Images.

Jinwang Wang, Wen Yang, Haowen Guo, Ruixiang Zhang, Gui-Song Xia

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Perceptual Generative Autoencoders.

Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Mental Retrieval of Large-Scale Satellite Images Via Learned Sketch-Image Deep Features.

Fang Xu, Ruixiang Zhang, Wen Yang, Gui-Song Xia

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

MetaGAN: An Adversarial Approach to Few-Shot Learning.

Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio, Yangqiu Song

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 R⁴.

Noam Solomon, Ruixiang Zhang

Discret. Math., 2017

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks.

Tong Che, Yanran Li, Ruixiang Zhang, R. Devon Hjelm, Wenjie Li, Yangqiu Song, Yoshua Bengio

CoRR, 2017

Understanding Hidden Memories of Recurrent Neural Networks.

Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu

Proceedings of the 12th IEEE Conference on Visual Analytics Science and Technology, 2017

2012

Design and implementation of an autonomous climbing robot.

Ruixiang Zhang

PhD thesis, 2012

2011

On the Number of Ordinary Circles Determined by <i>n</i> Points.

Ruixiang Zhang

Discret. Comput. Geom., 2011