Sakethram Madhuvarasu

Perception Software Engineer at Seneca

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Hello all! I am Saketh, a Perception Software Engineer at Seneca, where I build the vision stack for autonomous drones — automated annotation and training pipelines, custom depth models, and LiDAR-based detection running on the edge.

Previously, I was a Machine Learning Engineer in Computer Vision at Meta Reality Labs, where my main focus was 3D reconstruction — generating synthetic training data from multi-view AR/VR captures using Gaussian Splatting — and a language-grounded 3D-VLM for 3D scene understanding and geometry-aware panel placement. I also worked on stereo depth estimation and hand–object segmentation. Before that, I worked on geometric computer vision at Vimaan Robotics — transformer-based detection and camera calibration for warehouse automation.

I earned my MS in Electrical and Computer Engineering at UC San Diego, specializing in Robotics and AI, and my B.Tech in Electrical Engineering at IIT Tirupati. At UCSD I was a graduate researcher on 3D Gaussian Splatting with Prof. Tara Javidi, and on visual-inertial SLAM and semantic odometry with Prof. Nikolay Atanasov.

I’m interested in 3D vision for robotics: 3D-scene reconstruction, multi-view geometry, 3D-perception, and Embodied AI

News

May 2026 Started as a Perception Software Engineer at Seneca
Mar 2026 Our paper “Ego-1K: A Large-Scale Multiview Video Dataset for Egocentric Vision” was accepted at CVPR 2026
Feb 2026 Our paper “3D Scene Rendering with Multimodal Gaussian Splatting” was accepted at ACSSC 2026
Aug 2025 Started as a Machine Learning Engineer, Computer Vision at Meta Reality Labs
Jun 2025 Graduated with an MS in ECE from UC San Diego

Selected Publications

  1. CVPR
    Ego-1K: A Large-Scale Multiview Video Dataset for Egocentric Vision
    Jae Yong Lee, Daniel Scharstein, Akash Bapat, et al., Saketh Madhuvarasu, Jason Wither
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
  2. ACSSC
    3D Scene Rendering with Multimodal Gaussian Splatting
    Chi-Shiang Gau, Konstantinos D. Polyzos, Athanasios Bacharis, Saketh Madhuvarasu, and Tara Javidi
    In Asilomar Conference on Signals, Systems, and Computers (ACSSC), 2026
  3. arXiv
    ActiveInitSplat: How Active Image Selection Helps Gaussian Splatting
    Konstantinos D. Polyzos, Athanasios Bacharis, Saketh Madhuvarasu, Nikos Papanikolopoulos, and Tara Javidi
    arXiv preprint arXiv:2503.06859, 2025
  4. ROBIO
    Fog-based Distributed Camera Network system for Surveillance Applications
    Mvs Sakethram, and Ps Saikrishna
    In 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2023