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SoubhikMajumdar/README.md

Hi there, I'm Soubhik 👋

I'm passionate about computer vision and deep learning, with a focus on Autonomous Driving Systems and 3D perception.

What I'm Working On

  • Reinforcement Learning Deep Q-Network for 6G wireless systems
  • 3D Object Detection using LiDAR and camera fusion
  • 3D LiDAR Bird's-Eye-View (BEV) Perception for autonomous driving
  • SLAM & Visual Odometry for robotics applications
  • 3D reconstruction using SfM-MVS; NeRF & Gaussian Splatting

Tech Stack

Languages: Python | C++ | MATLAB
Frameworks: PyTorch | Scikit-learn | TensorFlow | OpenCV | YOLO | MMDetection3D | ROS
Focus Areas: Computer Vision | 3D Perception | Deep Learning

Featured Projects

Connect

LinkedIn

Always eager to collaborate on computer vision and autonomous systems projects!

Pinned Loading

  1. RLRIS RLRIS Public

    This project implements a Deep Q-Network (DQN) for optimizing Reconfigurable Intelligent Surface (RIS) configurations in 6G wireless communication systems. The system uses reinforcement learning to…

    Python 6 1

  2. 3D-LiDAR-Based-Birds-Eye-View-Object-Detection-via-BEVFusion 3D-LiDAR-Based-Birds-Eye-View-Object-Detection-via-BEVFusion Public

    3D LiDAR Point Cloud based Bird's-Eye View (BEV) Object Detection framework using BEVFusion. Features inference, visualization, fine-tuning, and evaluation on nuScenes

    Python 4

  3. 3D-object-detection 3D-object-detection Public

    3D object detection on kitti and nuscenes multimodal LiDAR point cloud and multicamera data

    Python 3

  4. ISIC-2018-Skin-Lesion-Classification ISIC-2018-Skin-Lesion-Classification Public

    Skin Lesion Image Classification for Applications in Melanoma Detection. Built neural network models to learn from labelled dermoscopic image data from ISIC2018 dataset, to accurately classify skin…

    Jupyter Notebook

  5. Segmentation-and-Pose-Estimation-Yolov7-and-SAM Segmentation-and-Pose-Estimation-Yolov7-and-SAM Public

    Segmentation and Pose estimation on underwater swimmers. (Dataset provided by course instructor))

    Jupyter Notebook

  6. UCI-HAR-Activity-classification-multi-model-project UCI-HAR-Activity-classification-multi-model-project Public

    Modelling human activity using smartphone accelerometer and gyroscope data using Logistic Regression, LDA, QDA, KNN, SVM, Decision Tree, Random Forest.

    Python