Jianxiang Feng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Active Learning

Graph Representation

Gaussian Process

Top Venues

Ad Hoc Networks

Publications

Hang Li, Qian Feng, Zhi Zheng, Jianxiang Feng, Alois Knoll
Language-Guided Object-Centric Diffusion Policy for Collision-Aware Robotic Manipulation. CoRR (2024)
Qian Feng, Jianxiang Feng, Zhaopeng Chen, Rudolph Triebel, Alois Knoll
FFHFlow: A Flow-based Variational Approach for Multi-fingered Grasp Synthesis in Real Time. CoRR (2024)
Qian Feng, David S. Martinez Lema, Mohammadhossein Malmir, Hang Li, Jianxiang Feng, Zhaopeng Chen, Alois Knoll
DexGANGrasp: Dexterous Generative Adversarial Grasping Synthesis for Task-Oriented Manipulation. CoRR (2024)
Zhi Zheng, Qian Feng, Hang Li, Alois Knoll, Jianxiang Feng
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners. CoRR (2024)
Xiang-Yu Li, Xiaopeng Li, Jianxiang Feng, Congming Li, Xiaoyan Xiong, Hong-Zhong Huang
Reliability analysis and optimization of multi-phased spaceflight with backup missions and mixed redundancy strategy. Reliab. Eng. Syst. Saf. 237 (2023)
Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. CoRR (2023)
Jianxiang Feng, Matan Atad, Ismael Rodríguez, Maximilian Durner, Stephan Günnemann, Rudolph Triebel
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly. CoRR (2023)
Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel
Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. CoRR (2023)
Matan Atad, Jianxiang Feng, Ismael Rodríguez, Maximilian Durner, Rudolph Triebel
Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning. IROS (2023)
Jianxiang Feng, Jongseok Lee, Simon Geisler, Stephan Günnemann, Rudolph Triebel
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning. CoRL (2023)
Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel
Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. Field Robotics 3 (1) (2023)
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiaoxiang Zhu
A survey of uncertainty in deep neural networks. Artif. Intell. Rev. 56 (S1) (2023)
Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel
Virtual Reality via Object Poses and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. CoRR (2022)
Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel
Bayesian Active Learning for Sim-to-Real Robotic Perception. IROS (2022)
Jianxiang Feng, Maximilian Durner, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel
Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks. CoRR (2021)
Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel
Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning. CoRR (2021)
Zhian Deng, Jianxiang Feng, Shengao Wang, Zhiyu Qu, Jiahao Zhang, Weijian Si
An accurate and easy deployment array gain-phase error calibration method for DoA estimation in Wi-Fi network. Ad Hoc Networks 112 (2021)
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu
A Survey of Uncertainty in Deep Neural Networks. CoRR (2021)
Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRR (2021)
Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRL (2021)
Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
Estimating Model Uncertainty of Neural Networks in Sparse Information Form. ICML (2020)
Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
Estimating Model Uncertainty of Neural Networks in Sparse Information Form. CoRR (2020)
Jianxiang Feng, Maximilian Durner, Zoltán-Csaba Márton, Ferenc Bálint-Benczédi, Rudolph Triebel
Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks. ISRR (2019)