Search Results for author: Sandipan Das

Found 5 papers, 2 papers with code

Neural Greedy Pursuit for Feature Selection

no code implementations19 Jul 2022 Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain, Yonina C. Eldar, Saikat Chatterjee

NGP is efficient in selecting $N$ features when $N \ll P$, and it provides a notion of feature importance in a descending order following the sequential selection procedure.

Feature Importance feature selection

Multi-modal curb detection and filtering

no code implementations14 May 2022 Sandipan Das, Navid Mahabadi, Saikat Chatterjee, Maurice Fallon

We propose a robust curb detection and filtering technique based on the fusion of camera semantics and dense lidar point clouds.

Statistical model-based evaluation of neural networks

1 code implementation18 Nov 2020 Sandipan Das, Prakash B. Gohain, Alireza M. Javid, Yonina C. Eldar, Saikat Chatterjee

Using a statistical model-based data generation, we develop an experimental setup for the evaluation of neural networks (NNs).

Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry

no code implementations13 Nov 2020 David Wisth, Marco Camurri, Sandipan Das, Maurice Fallon

True integration of lidar features with standard visual features and IMU is made possible using a subtle passive synchronization of lidar and camera frames.

Landmark Tracking

A ReLU Dense Layer to Improve the Performance of Neural Networks

1 code implementation22 Oct 2020 Alireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee

We use a combination of random weights and rectified linear unit (ReLU) activation function to add a ReLU dense (ReDense) layer to the trained neural network such that it can achieve a lower training loss.

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