Bowen Wen I am a Senior Research Scientist at NVIDIA Research. My research areas include robotic perception, computer vision. Specifically, I work on 3D visual perception and learning to facilitate robotics or embodied AI. I obtained my PhD degree in Computer Science from Rutgers University in 2022, advised by Prof. Kostas Bekris. During my PhD, I've spent wonderful summers with Google[X], Facebook Reality Labs, Amazon Lab 126 and SenseTime working as a research intern. Previously, I obtained MS degree in ECE from Ohio State University in 2018 and BS degree in Energy and Automation from Xi'an Jiaotong University in 2016. Email: wenbowenxjtu [at] gmail [dot] com Research Interests: Robotics, Computer Vision, Artificial Intelligence

I'm always looking for self-motivated research interns. Please email me your CV if you are interested!

Industry Experience

News

• [2024/02] Three papers accepted to CVPR 2024.
• [2023/06] One paper accepted to CoRL 2023.
• [2023/06] One paper accepted to IROS 2023.
• [2023/02] Two papers accepted to CVPR 2023.
• [2023/01] Two papers accepted to ICRA 2023.
• [2022/05] I graduated from PhD and will join NVIDIA Research as a Research Scientist.
• [2022/04] One paper accepted to RSS.
• [2022/01] Three papers accepted to ICRA and one also accepted to RAL.
• [2021/06] One paper accepted to IROS 2021.
• [2021/05] One paper accepted to RSS 2021.
• [2021/01] I will start my research internship with Google[X] (the moonshot factory), in summer 2021.

Selected Publications

	Bowen Wen, Wei Yang, Jan Kautz, Stan Birchfield FoundationPose: Unified 6d pose estimation and tracking of novel objects CVPR 2024 (Highlight) [pdf] [code] [project page] Star Fork
	Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leonidas Guibas, Stan Birchfield Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects CVPR 2024 [pdf] [code] [project page] Star Fork
	Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Muller, Alex Evans, Dieter Fox, Jan Kautz, Stan Birchfield BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects CVPR 2023 [pdf] [code] [project page] [video] Star Fork
	Bowen Wen, Wenzhao Lian, Kostas Bekris, Stefan Schaal You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration RSS 2022 Best Paper Award nomination [pdf] [code of tracking] [code of grasping] [video]
	Bowen Wen, Wenzhao Lian, Kostas Bekris, Stefan Schaal CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation ICRA 2022 [pdf] [code] [video] Star Fork
	Andrew Morgan*, Kaiyu Hang*, Bowen Wen, Kostas E Bekris, Aaron Dollar Complex In-Hand Manipulation via Compliance-Enabled Finger Gaiting and Multi-Modal Planning IEEE Robotics and Automation Letters 2022 [pdf] [video] [news coverage]
	Junchi Liang, Bowen Wen, Kostas Bekris, Abdeslam Boularias Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations ICRA 2022 [pdf] [video]
	Bowen Wen, Kostas E. Bekris BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models IROS 2021 [pdf] [code] [presentation video] [supplementary video] Star Fork
	Andrew S. Morgan*, Bowen Wen*, Junchi Liang, Abdeslam Boularias, Aaron M. Dollar, Kostas Bekris (* equal contribution) Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks RSS 2021 [pdf] [video]
	Bowen Wen, Chaitanya Mitash, Baozhang Ren, Kostas Bekris se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains IROS 2020 [pdf] [code] [supplementary video] [presentation video] Star Fork
	Mitash, Chaitanya, Shome, Rahul, Wen, Bowen, Boularias, Abdeslam, Bekris, Kostas Task-driven Perception and Manipulation for Constrained Placement with No Shape Priors RA-L and IROS 2020 [pdf] [video]
	Bowen Wen, Chaitanya Mitash, Sruthi Soorian, Andrew Kimmel, Avishai Sintov, Kostas E. Bekris Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands IEEE International Conference on Robotics and Automation (ICRA) 2020 [pdf] [code] [video] Star Fork
	Chaitanya Mitash, Bowen Wen, Kostas Bekris, Abdeslam Boularias Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects Conference on Robot Learning (CoRL) 2019 [pdf] [code] [video]

Academic Services

• Invited Chair for IROS (IEEE/RSJ International Conference on Intelligent Robots and Systems) session "Visual Tracking II" 2021
• Reviewer for following conferences and journals:
  • ICCV
  • ECCV
  • ICML
  • NeurIPS
  • TPAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • TRO (IEEE Transactions on Robotics)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • RAL (IEEE Robotics and Automation Letters)
  • ICRA (International Conference on Robotics and Automation)
  • IROS (IEEE/RSJ International Conference on Intelligent Robots and Systems)
  • CoRL (Conference on Robot Learning)
  • Neurocomputing

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