Publications & Research

Publications

3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks

Resources: [Preprint]
Role: Co-first Author
Supervisor: Dr. Md. Shamsuzzoha Bayzid
Publication: Accepted in the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021).
Technology: Deep Learning, 3D Computer Vision, Autonomous Vehicles
Description: In this work, we propose a novel approach to make sensor fusion based 3D object detection networks significantly faster using a class of computationally inexpensive heuristics. We worked on existing 3D object detection architectures and made adjustments that improve inference time, training time and performance.

Research Projects

Large Scale Extractive News Summarization Benchmark Dataset in Bangla

Technology: Text Summarization, Natural Language Processing, Low Resource Languages, Benchmark Dataset
Supervisor: Dr. Mohammed Eunus Ali
Duration: March, 2021 - Present
Description: Project to create the first large-scale high quality news summarization benchmark dataset in Bangla.
Responsibilities:

  • Implemented multiple state of the art BERT and RNN based news summarization models for Bangla.
  • Did extensive work in data preparation, data processing and data quality evaluation.

Exploring Oppurtunities for Online Education of Special Needs Individuals in Bangladesh

Technology: Human Computer Interaction, Accessibility, Qualitative Research
Duration: November, 2020 - Present
Supervisor: Dr. Mohammed Eunus Ali
Description: Research project to identify problems faced by special needs children in online education.
Responsibilities:

  • Did qualitative research by conducting interviews, surveys and need-finding.
  • First author in a manuscript that will be submitted to CHI 2022.

Faster 3D object detection with Focused Frustum Search in sensor fusion based networks

Technology: Deep Learning, 3D Computer Vision, Autonomous Vehicles
Duration: February, 2020 - March, 2021
Supervisor: Dr. Md. Shamsuzzoha Bayzid
Description: Research project exploring sensor fusion to combine RGB and 3D LIDAR data for object detection and localization. Responsibilities:

  • Developed and implemented novel methodologies for improving runtime and accuracy of 3D object detection models.