Jikai Wang

Ph.D. Candidate in Robotics & Computer Vision | Dex­terous Manipulation | 3D Perception

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My name is Jikai Wang (Wahng Jee-kai, 王继凯). I am a Ph.D. candidate in Computer Science at the University of Texas at Dallas, working in the Intelligent Robotics and Vision Lab under the guidance of Prof. Yu Xiang and co-advised by Prof. Xiaohu Guo.

My research focuses on robotic manipulation and perception, with an emphasis on 3D reconstruction, 6D pose estimation, and hand-object interaction for dexterous manipulation. I develop robust, scalable, and deployable systems that bridge perception and real-world robotic applications.

Prior to my Ph.D., I worked as a Senior Engineer at Ericsson (China), contributing to 4G/LTE core network design, system integration, and large-scale deployment.

I hold an M.S. in Computer Science from UT Dallas and a B.S. in Communications Engineering from Harbin Institute of Technology (HIT).

Interests: Robotics • Computer Vision • AI • Embodied Intelligence

News

Sep 2025
Jul 2025
Our Supervised Team of High School Students Received the 2nd Prize CAST STAR Award in TAST-STEM Bridge Summer Camp 2025! :2nd_place_medal:
Sep 2024
Jul 2024
Our Supervised Team of High School Students Received the 2nd Prize CAST STAR Award in CAST-STEM Bridge Summer Camp 2024! :2nd_place_medal:
Sep 2022
Sep 2021
I joined the Intelligent Robotics and Vision Lab at the University of Texas at Dallas as a Ph.D. student. :robot:
Jul 2021
Our Supervised Team of High School Students Received the 1st Prize CAST STAR Award in CAST-STEM Bridge Summer Camp 2021! :1st_place_medal:
May 2019
I joined the Computer Graphics Lab at the University of Texas at Dallas as a M.S. student. :v:

Publications

  1. From Local Matches to Global Masks: Novel Instance Detection in Open-World Scenes
    Qifan Zhang, Sai Haneesh Allu, Jikai Wang, Yangxiao Lu, and Yu Xiang
    arXiv preprint, 2026
  2. HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction
    Jikai Wang, Qifan Zhang, Yu-Wei Chao, Bowen Wen, Xiaohu Guo, and Yu Xiang
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2025
  3. Multimodal Reference Visual Grounding
    Yangxiao Lu, Ruosen Li, Liqiang Jing, Jikai Wang, Xinya Du, Yunhui Guo, Nicholas Ruozzi, and Yu Xiang
    arXiv preprint, 2025
  4. iTeach: Interactive Teaching for Robot Perception using Mixed Reality
    Jishnu Jaykumar P, Cole Salvato, Vinaya Bomnale, Jikai Wang, and Yu Xiang
    arXiv preprint, 2024
  5. Predictive Task Guidance with Artificial Intelligence in Augmented Reality
    Benjamin Rheault, Shivvrat Arya, Akshay Vyas, Jikai Wang, Rohith Peddi, Brett Bendall, Vibhav Gogate, Nicholas Ruozzi, Yu Xiang, and Eric D. Ragan
    In IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2024
  6. CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities
    Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Bhavya Gouripeddi, Qifan Zhang, Jikai Wang, Vasundhara Komaragiri, Eric Ragan, Nicholas Ruozzi, Yu Xiang, and Vibhav Gogate
    In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2024
  7. Layered-Garment Net: Generating Multiple Implicit Garment Layers from a Single Image
    Alakh Aggarwal, Jikai Wang, Steven Hogue, Saifeng Ni, Madhukar Budagavi, and Xiaohu Guo
    In Proceedings of the Asian Conference on Computer Vision (ACCV), 2022

Teaching

Academic Service:

Seminar Talks:

  • MANIPTRANS: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning
  • DexMan: Learning Bimanual Dexterous Manipulation from Human and Generated Videos