Xiaogang Jia

According to our database, Xiaogang Jia authored at least 36 papers between 2011 and 2025.

Collaborative distances:

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

2025

BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning.

Hongyi Zhou, Weiran Liao, Xi Huang, Yucheng Tang, Fabian Otto, Xiaogang Jia, Xinkai Jiang, Simon Hilber, Ge Li, Qian Wang, Ömer Erdinç Yagmurlu, Nils Blank, Moritz Reuss, Rudolf Lioutikov

CoRR, June, 2025

X-IL: Exploring the Design Space of Imitation Learning Policies.

Xiaogang Jia, Atalay Donat, Xi Huang, Xuan Zhao, Denis Blessing, Hongyi Zhou, Han A. Wang, Hanyi Zhang, Qian Wang, Rudolf Lioutikov, Gerhard Neumann

CoRR, February, 2025

Towards Fusing Point Cloud and Visual Representations for Imitation Learning.

Atalay Donat, Xiaogang Jia, Xi Huang, Aleksandar Taranovic, Denis Blessing, Ge Li, Hongyi Zhou, Hanyi Zhang, Rudolf Lioutikov, Gerhard Neumann

CoRR, February, 2025

Hierarchical Neural Architecture Search for Fast and Accurate Depth Completion.

Xiaogang Jia, Songlei Jian, Yusong Tan, Yonggang Che, Wei Chen, Zhengfa Liang, Yulin He

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler.

Denis Blessing, Xiaogang Jia, Gerhard Neumann

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Gated Cross-Attention Network for Depth Completion.

Xiaogang Jia, Songlei Jian, Yusong Tan, Yonggang Che, Wei Chen, Zhengfa Liang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Image-Based Bolt-Loosening Detection Using a Checkerboard Perspective Correction Method.

Chengqian Xie, Jun Luo, Kaili Li, Zhitao Yan, Feng Li, Xiaogang Jia, Yuanlai Wang

Sensors, June, 2024

MaIL: Improving Imitation Learning with Mamba.

Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

CoRR, 2024

Variational Distillation of Diffusion Policies into Mixture of Experts.

Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling.

Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations.

Xiaogang Jia, Denis Blessing, Xinkai Jiang, Moritz Reuss, Atalay Donat, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Comprehensive User Study on Augmented Reality-Based Data Collection Interfaces for Robot Learning.

Xinkai Jiang, Paul Mattes, Xiaogang Jia, Nicolas Schreiber, Gerhard Neumann, Rudolf Lioutikov

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

MaIL: Improving Imitation Learning with Selective State Space Models.

Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Dynamic Scenario Representation Learning for Motion Forecasting With Heterogeneous Graph Convolutional Recurrent Networks.

Xing Gao, Xiaogang Jia, Yikang Li, Hongkai Xiong

IEEE Robotics Autom. Lett., May, 2023

Multi-scale Recurrent LSTM and Transformer Network for Depth Completion.

Xiaogang Jia, Yusong Tan, Songlei Jian, Yonggang Che

CoRR, 2023

Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts.

Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann

CoRR, 2023

Goal-Conditioned Imitation Learning using Score-based Diffusion Policies.

Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills.

Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Multi-Dimensional Cooperative Network for Stereo Matching.

Wei Chen, Xiaogang Jia, Mingfei Wu, Zhengfa Liang

IEEE Robotics Autom. Lett., 2022

Causal-based Time Series Domain Generalization for Vehicle Intention Prediction.

Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka, Wei Zhan

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Scale-Adaptive NN-Based Similarity for Robust Template Matching.

Zhihao Zhang, Xianqiang Yang, Xiaogang Jia

IEEE Trans. Instrum. Meas., 2021

A Joint 2D-3D Complementary Network for Stereo Matching.

Xiaogang Jia, Wei Chen, Zhengfa Liang, Xin Luo, Mingfei Wu, Chen Li, Yulin He, Yusong Tan, Libo Huang

Sensors, 2021

Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation.

Xin Luo, Wei Chen, Yusong Tan, Chen Li, Yulin He, Xiaogang Jia

CoRR, 2021

On complementing end-to-end human motion predictors with planning.

Liting Sun, Xiaogang Jia, Anca D. Dragan

CoRR, 2021

Multi-Scale Cost Volumes Cascade Network for Stereo Matching.

Xiaogang Jia, Wei Chen, Zhengfa Liang, Yusong Tan, Mingfei Wu

CoRR, 2021

Bidirectional Stereo Matching Network With Double Cost Volumes.

Xiaogang Jia, Wei Chen, Zhengfa Liang

IEEE Access, 2021

On complementing end-to-end human behavior predictors with planning.

Liting Sun, Xiaogang Jia, Anca D. Dragan

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Multi-Scale Cost Volumes Cascade Network for Stereo Matching.

Xiaogang Jia, Wei Chen, Chen Li, Zhengfa Liang, Mingfei Wu, Yusong Tan, Libo Huang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Multi-Scale Cascade Disparity Refinement Stereo Network.

Xiaogang Jia, Wei Chen, Zhengfa Liang, Xin Luo, Mingfei Wu, Yusong Tan, Libo Huang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching.

Wei Chen, Xin Luo, Zhengfa Liang, Chen Li, Mingfei Wu, Yuanming Gao, Xiaogang Jia

Remote. Sens., 2020

Application of U-Shaped Convolutional Neural Network Based on Attention Mechanism in Liver CT Image Segmentation.

Chen Li, Wei Chen, Xin Luo, Mingfei Wu, Xiaogang Jia, Yusong Tan, Zhiying Wang

Proceedings of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2020

A Modified CenterNet for Crack Detection of Sanitary Ceramics.

Xiaogang Jia, Xianqiang Yang, Xinghu Yu, Huijun Gao

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

CenterRepp: Predict Central Representative Point Set's Distribution For Detection.

Yulin He, Limeng Zhang, Wei Chen, Xin Luo, Xiaogang Jia, Chen Li

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

Attention Unet++: A Nested Attention-Aware U-Net for Liver CT Image Segmentation.

Chen Li, Yusong Tan, Wei Chen, Xin Luo, Yuanming Gao, Xiaogang Jia, Zhiying Wang

Proceedings of the IEEE International Conference on Image Processing, 2020

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results.

Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2011

Study on the GPS Data De-noising Method Based on Wavelet Analysis.

Debao Yuan, Xi-Min Cui, Guo Wang, Jingjing Jin, Dongli Fan, Xiaogang Jia

Proceedings of the Computer and Computing Technologies in Agriculture V, 2011