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2020 – today
- 2024
[j7]Chengqian Xie
, Jun Luo, Kaili Li, Zhitao Yan, Feng Li, Xiaogang Jia, Yuanlai Wang:
Image-Based Bolt-Loosening Detection Using a Checkerboard Perspective Correction Method. Sensors 24(11): 3271 (2024)- [c15]Xinkai Jiang, Paul Mattes, Xiaogang Jia, Nicolas Schreiber, Gerhard Neumann, Rudolf Lioutikov:
A Comprehensive User Study on Augmented Reality-Based Data Collection Interfaces for Robot Learning. HRI 2024: 333-342 - [c14]Xiaogang Jia, Denis Blessing, Xinkai Jiang, Moritz Reuss, Atalay Donat, Rudolf Lioutikov, Gerhard Neumann:
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations. ICLR 2024 - [c13]Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann:
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling. ICML 2024 - [i12]Xiaogang Jia, Denis Blessing, Xinkai Jiang, Moritz Reuss, Atalay Donat, Rudolf Lioutikov, Gerhard Neumann:
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations. CoRR abs/2402.14606 (2024) - [i11]Denis Blessing, Xiaogang Jia, Johannes Esslinger, Francisco Vargas, Gerhard Neumann:
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling. CoRR abs/2406.07423 (2024) - [i10]Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann:
MaIL: Improving Imitation Learning with Mamba. CoRR abs/2406.08234 (2024) - [i9]Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov:
Variational Distillation of Diffusion Policies into Mixture of Experts. CoRR abs/2406.12538 (2024) - 2023
- [j6]Xing Gao, Xiaogang Jia, Yikang Li, Hongkai Xiong:
Dynamic Scenario Representation Learning for Motion Forecasting With Heterogeneous Graph Convolutional Recurrent Networks. IEEE Robotics Autom. Lett. 8(5): 2946-2953 (2023) - [c12]Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann:
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills. NeurIPS 2023 - [c11]Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov:
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies. Robotics: Science and Systems 2023 - [i8]Xing Gao, Xiaogang Jia, Yikang Li, Hongkai Xiong:
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks. CoRR abs/2303.04364 (2023) - [i7]Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann:
Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts. CoRR abs/2303.15349 (2023) - [i6]Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov:
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies. CoRR abs/2304.02532 (2023) - [i5]Xiaogang Jia, Yusong Tan, Songlei Jian, Yonggang Che:
Multi-scale Recurrent LSTM and Transformer Network for Depth Completion. CoRR abs/2309.16301 (2023) - 2022
- [j5]Wei Chen, Xiaogang Jia, Mingfei Wu, Zhengfa Liang:
Multi-Dimensional Cooperative Network for Stereo Matching. IEEE Robotics Autom. Lett. 7(1): 581-587 (2022) - [c10]Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka, Wei Zhan:
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction. ICRA 2022: 7806-7813 - 2021
- [j4]Xiaogang Jia, Wei Chen, Zhengfa Liang:
Bidirectional Stereo Matching Network With Double Cost Volumes. IEEE Access 9: 19651-19658 (2021) - [j3]Xiaogang Jia, Wei Chen, Zhengfa Liang, Xin Luo, Mingfei Wu, Chen Li, Yulin He, Yusong Tan, Libo Huang:
A Joint 2D-3D Complementary Network for Stereo Matching. Sensors 21(4): 1430 (2021) - [j2]Zhihao Zhang, Xianqiang Yang, Xiaogang Jia:
Scale-Adaptive NN-Based Similarity for Robust Template Matching. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [c9]Xiaogang Jia, Wei Chen, Zhengfa Liang, Xin Luo, Mingfei Wu, Yusong Tan, Libo Huang:
Multi-Scale Cascade Disparity Refinement Stereo Network. ICASSP 2021: 2110-2114 - [c8]Xiaogang Jia, Wei Chen, Chen Li, Zhengfa Liang, Mingfei Wu, Yusong Tan, Libo Huang:
Multi-Scale Cost Volumes Cascade Network for Stereo Matching. ICRA 2021: 8657-8663 - [c7]Liting Sun, Xiaogang Jia, Anca D. Dragan:
On complementing end-to-end human behavior predictors with planning. Robotics: Science and Systems 2021 - [i4]Xiaogang Jia, Wei Chen, Zhengfa Liang, Yusong Tan, Mingfei Wu:
Multi-Scale Cost Volumes Cascade Network for Stereo Matching. CoRR abs/2102.01940 (2021) - [i3]Liting Sun, Xiaogang Jia, Anca D. Dragan:
On complementing end-to-end human motion predictors with planning. CoRR abs/2103.05661 (2021) - [i2]Xin Luo, Wei Chen, Yusong Tan, Chen Li, Yulin He, Xiaogang Jia:
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation. CoRR abs/2106.12123 (2021) - [i1]Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka, Wei Zhan:
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction. CoRR abs/2112.02093 (2021) - 2020
- [j1]Wei Chen, Xin Luo, Zhengfa Liang, Chen Li, Mingfei Wu, Yuanming Gao, Xiaogang Jia:
A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching. Remote. Sens. 12(3): 588 (2020) - [c6]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:
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) 2020: 692-712 - [c5]Chen Li, Yusong Tan, Wei Chen, Xin Luo, Yuanming Gao, Xiaogang Jia, Zhiying Wang:
Attention Unet++: A Nested Attention-Aware U-Net for Liver CT Image Segmentation. ICIP 2020: 345-349 - [c4]Yulin He, Limeng Zhang, Wei Chen, Xin Luo, Xiaogang Jia, Chen Li:
CenterRepp: Predict Central Representative Point Set's Distribution For Detection. ICPR 2020: 8960-8967 - [c3]Xiaogang Jia, Xianqiang Yang, Xinghu Yu, Huijun Gao:
A Modified CenterNet for Crack Detection of Sanitary Ceramics. IECON 2020: 5311-5316 - [c2]Chen Li, Wei Chen, Xin Luo, Mingfei Wu, Xiaogang Jia, Yusong Tan, Zhiying Wang:
Application of U-Shaped Convolutional Neural Network Based on Attention Mechanism in Liver CT Image Segmentation. MICAD 2020: 198-206
2010 – 2019
- 2011
- [c1]Debao Yuan, Xi-Min Cui, Guo Wang, Jingjing Jin, Dongli Fan, Xiaogang Jia:
Study on the GPS Data De-noising Method Based on Wavelet Analysis. CCTA (2) 2011: 390-399
Coauthor Index
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