publications

publications by categories in reversed chronological order.

2024

  1. SCAR: Sub-Core and Atomic Unit Collaborative Reduction Computation for Fast Raster-based Differentiable Rendering
    Sankeerth Durvasula, Junan Zhao, Fan Chen, and 3 more authors
    In (Under Review), 2024
  2. ACE: Efficient GPU Kernel Concurrency for Input-Dependent Irregular Computational Graphs
    Sankeerth Durvasula, Junan Zhao, Raymond Kiguru, and 2 more authors
    In (Under Review), 2024
  3. DISORF: A Distributed Online NeRF Training and Rendering Framework for Mobile Robots International Conference on Robotics
    Chunlin Li, Ruofan Liang, Hanrui Fan, and 3 more authors
    In (Under Review) International Conference on Robotics and Automation (ICRA), 2024
  4. HIWE: Scene Importance Weighted Encoding for Accelerated Training of Radiance Fields
    Sankeerth Durvasula, Shorya Kumar, Ruofan Liang, and 4 more authors
    In (Under Review) International Conference on Learning Representations (ICLR), 2024

2023

  1. Ev-Conv: Fast CNN Inference on Event Camera Inputs for High-Speed Robot Perception
    Sankeerth Durvasula, Yushi Guan, and Nandita Vijaykumar
    IEEE Robotics and Automation Letters (RA-L). Presented at IROS, 2023
  2. Efficient Automatic Differentiation for GPU based Differentiable Simulators
    Sankeerth Durvasula, and Nandita Vijaykumar
    Student Research Competition at ACM MICRO, 2023

2022

  1. VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks
    Sankeerth Durvasula, Raymond Kiguru, Samarth Mathur, and 3 more authors
    In Proceedings of the International Conference on Parallel Architectures and Compilation Techniques (PACT), 2022
  2. Accelerating Simulation Engines for Deep Reinforcement Learning With Concurrent Kernel Execution
    Sankeerth Durvasula, and Nandita Vijaykumar
    Student Research Competition at IEEE/ACM Programmable Architectures and Compilation Techniques (PACT), 2022