Publications

Conferences/Journals

• Ishan Khatri*, Kyle Vedder*, Neehar Peri, Deva Ramanan, James Hays. I Can’t Believe It’s Not Scene Flow!. European Conference on Computer Vision (ECCV), 2024. [website] [pdf]
• Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays. ZeroFlow: Scalable Scene Flow via Distillation. Twelfth International Conference on Learning Representations (ICLR), 2024. [website] [pdf]
• Andrea Soltoggio et al. A collective AI via lifelong learning and sharing at the edge. Nature Machine Intelligence, 2024. [pdf]
• Megan M. Baker et al. A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks, 2023. [pdf]
• Kyle Vedder, Eric Eaton. Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems. Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2022. [website] [pdf]
• Kyle Vedder, Joydeep Biswas. X*: Anytime Multi-Agent Path Finding For Sparse Domains Using Window-Based Iterative Repairs. Artificial Intelligence (AIJ), 2021. [website] [pdf]
• Kyle Vedder, Joydeep Biswas. X*: Anytime Multiagent Path Planning With Bounded Search. Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2019. [website] [pdf]

In Submission

• Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl. Neural Eulerian Scene Flow Fields. arXiv preprint arXiv:2410.02031, 2024. [website] [pdf]

Workshops

• Kyle Vedder, Eric Eaton. Sparse PointPillars: Exploiting Sparsity on Birds-Eye-View Object Detection. Sparsity in Neural Networks Workshop (SNN), 2021. [pdf] [poster]
• Spencer Lane, Kyle Vedder, Joydeep Biswas. Augmenting Planning Graphs in 2-Dimensional Dynamic Environments With Obstacle Scaffolds. Proceedings of the 5th Workshop on Planning and Robotics (ICAPS PlanRob), 2017. [pdf]

Other

• Kyle Vedder. Current Approaches and Future Directions for Point Cloud Object Detection in Intelligent Agents. 2021. [pdf] [slides] [video]
• Kyle Vedder. An Overview of SHAP-based Feature Importance Measures and Their Applications To Classification. 2020. [pdf] [slides] [video]
• Kyle Vedder, Edward Schneeweiss, Sadegh Rabiee, Samer Nashed, Spencer Lane, Jarrett Holtz, Joydeep Biswas, David Balaban. UMass MinuteBots 2018 Team Description Paper. 2018. [pdf]
• Kyle Vedder, Edward Schneeweiss, Sadegh Rabiee, Samer Nashed, Spencer Lane, Jarrett Holtz, Joydeep Biswas, David Balaban. UMass MinuteBots 2017 Team Description Paper. 2017. [pdf]