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 (CCTA (2), 2011)

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Apostolos Axenopoulos; Arne Schumann; Athanasios Psaltis; Ayush Jain; et al. (ECCV Workshops (4), 2020)

Attention Unet++: A Nested Attention-Aware U-Net for Liver CT Image Segmentation. - Chen Li 034; Yusong Tan; Wei Chen 009; Xin Luo 009; Yuanming Gao; Xiaogang Jia; Zhiying Wang 003 (ICIP, 2020)

CenterRepp: Predict Central Representative Point Set's Distribution For Detection. - Yulin He; Limeng Zhang; Wei Chen 009; Xin Luo 009; Xiaogang Jia; Chen Li 034 (ICPR, 2020)

A Modified CenterNet for Crack Detection of Sanitary Ceramics. - Xiaogang Jia; Xianqiang Yang 001; Xinghu Yu; Huijun Gao (IECON, 2020)

Application of U-Shaped Convolutional Neural Network Based on Attention Mechanism in Liver CT Image Segmentation. - Chen Li 034; Wei Chen 009; Xin Luo 009; Mingfei Wu; Xiaogang Jia; Yusong Tan; Zhiying Wang 003 (MICAD, 2020)

A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching. - Wei Chen 009; Xin Luo 009; Zhengfa Liang; Chen Li 034; Mingfei Wu; Yuanming Gao; Xiaogang Jia (Remote. Sens., 2020)

Multi-Scale Cascade Disparity Refinement Stereo Network. - Xiaogang Jia; Wei Chen 009; Zhengfa Liang; Xin Luo 009; Mingfei Wu; Yusong Tan; Libo Huang (ICASSP, 2021)

Multi-Scale Cost Volumes Cascade Network for Stereo Matching. - Xiaogang Jia; Wei Chen 009; Chen Li 034; Zhengfa Liang; Mingfei Wu; Yusong Tan; Libo Huang (ICRA, 2021)

On complementing end-to-end human behavior predictors with planning. - Liting Sun; Xiaogang Jia; Anca D. Dragan (Robotics: Science and Systems, 2021)

Bidirectional Stereo Matching Network With Double Cost Volumes. - Xiaogang Jia; Wei Chen 009; Zhengfa Liang (IEEE Access, 2021)

Multi-Scale Cost Volumes Cascade Network for Stereo Matching. - Xiaogang Jia; Wei Chen 009; Zhengfa Liang; Yusong Tan; Mingfei Wu (CoRR, 2021)

On complementing end-to-end human motion predictors with planning. - Liting Sun; Xiaogang Jia; Anca D. Dragan (CoRR, 2021)

Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation. - Xin Luo 009; Wei Chen 009; Yusong Tan; Chen Li 034; Yulin He; Xiaogang Jia (CoRR, 2021)

A Joint 2D-3D Complementary Network for Stereo Matching. - Xiaogang Jia; Wei Chen 009; Zhengfa Liang; Xin Luo 009; Mingfei Wu; Chen Li 034; Yulin He; Yusong Tan; Libo Huang (Sensors, 2021)

Scale-Adaptive NN-Based Similarity for Robust Template Matching. - Zhihao Zhang 003; Xianqiang Yang 001; Xiaogang Jia (IEEE Trans. Instrum. Meas., 2021)

Causal-based Time Series Domain Generalization for Vehicle Intention Prediction. - Yeping Hu; Xiaogang Jia; Masayoshi Tomizuka; Wei Zhan (ICRA, 2022)

Multi-Dimensional Cooperative Network for Stereo Matching. - Wei Chen 009; Xiaogang Jia; Mingfei Wu; Zhengfa Liang (IEEE Robotics Autom. Lett., 2022)

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 (NeurIPS, 2023)

Goal-Conditioned Imitation Learning using Score-based Diffusion Policies. - Moritz Reuss; Maximilian Xiling Li; Xiaogang Jia; Rudolf Lioutikov (Robotics: Science and Systems, 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)

Multi-scale Recurrent LSTM and Transformer Network for Depth Completion. - Xiaogang Jia; Yusong Tan; Songlei Jian; Yonggang Che (CoRR, 2023)

Dynamic Scenario Representation Learning for Motion Forecasting With Heterogeneous Graph Convolutional Recurrent Networks. - Xing Gao 005; Xiaogang Jia; Yikang Li 002; Hongkai Xiong (IEEE Robotics Autom. Lett., 2023)

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 (CoRL, 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 (HRI, 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 (ICLR, 2024)

Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling. - Denis Blessing; Xiaogang Jia; Johannes Esslinger; Francisco Vargas 001; Gerhard Neumann (ICML, 2024)

Variational Distillation of Diffusion Policies into Mixture of Experts. - Hongyi Zhou; Denis Blessing; Ge Li; Onur Celik; Xiaogang Jia; Gerhard Neumann; Rudolf Lioutikov (NeurIPS, 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)

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, 2024)

Gated Cross-Attention Network for Depth Completion. - Xiaogang Jia; Songlei Jian; Yusong Tan; Yonggang Che; Wei Chen 009; Zhengfa Liang (ICASSP, 2025)

End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler. - Denis Blessing; Xiaogang Jia; Gerhard Neumann (ICLR, 2025)

Hierarchical Neural Architecture Search for Fast and Accurate Depth Completion. - Xiaogang Jia; Songlei Jian; Yusong Tan; Yonggang Che; Wei Chen 009; Zhengfa Liang; Yulin He (ICMR, 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, 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, 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; et al. (CoRR, 2025)