PhD Candidate @ Trinity College Dublin

Data sourced from Google Scholar. Updates automatically via scholar.json.

Md Raqib Khan

Pursuing a PhD in Computer Science at Trinity College Dublin, specializing in Stereo Matching and Depth Estimation for advanced robotics, AR, and VR applications. My research addresses critical challenges in 3D reconstruction and autonomous driving.

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Research Mission

Enhancing Real-Time 3D Perception

My goal is to develop lightweight deep learning models that enhance the accuracy and efficiency of depth estimation systems. By focusing on computational efficiency, my research aims to make high-fidelity 3D reconstruction viable for resource-constrained environments in robotics and immersive technologies.

3D Reconstruction

Accurate spatial mapping from stereo inputs.

Real-Time Performance

Optimizing latency for edge deployment.

raqib@tcd-lab: ~/depth-estimation
Application Domains

Research Impact

Autonomous Driving

Improving depth perception for environment sensing and obstacle avoidance in self-driving vehicles.

AR / VR

Real-time 3D scene understanding for immersive augmented and virtual reality experiences.

Robotics

Enhancing robotic manipulation and navigation through precise depth sensing.

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Scholarly Work

Publications

View Google Scholar
2026 CVPR Workshop 36 citations

NTIRE 2026 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results

H. Park, E. Park, S. Lee, R. Timofte, Md Raqib Khan (et al.)

#HDR #ImageRestoration
2026 CVPR Workshop 38 citations

Efficient Low Light Image Enhancement: NTIRE 2026 Challenge Report

J. Yan, C. Tu, Q. Lin, Z. Wu, ..., Md Raqib Khan (et al.)

#LowLight #Enhancement
2026 ACRT Journal 3 citations

Inclusive STEAM Education: A Framework for Teaching Coding and Robotics to Students with Visual Impairment Using Advanced Computer Vision

M. Hamash, Md Raqib Khan, P. Tiernan

#EdTech #ComputerVision
2025 WACV 42 citations

Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and Beyond

Md Raqib Khan, A. Negi, A. Kulkarni, S.S. Phutke, S.K. Vipparthi, S. Murala

#Underwater #ImageRestoration
2025 arXiv 5 citations

Inclusive STEAM Education: A Framework for Teaching Coding and Robotics to Students with Visual Impairment Using Advanced Computer Vision

M. Hamash, Md Raqib Khan, P. Tiernan

#EdTech #Accessibility
2025 IEEE TAI –

TransWaveNet: Transformer for Underwater Image Restoration with Wavelets

P. Mishra, Md Raqib Khan, S.S. Phutke, S.K. Vipparthi, S. Murala

#Transformers #Wavelets
2024 WACV 72 citations

Spectroformer: Multi-domain Query Cascaded Transformer Network for Underwater Image Enhancement

Md Raqib Khan, P. Mishra, N. Mehta, S.S. Phutke, S.K. Vipparthi, S. Nandi, S. Murala

#Underwater #Transformer
2024 CVPR Workshop 107 citations

NTIRE 2024 Image Shadow Removal Challenge Report

F.A. Vasluianu, T. Seizinger, Z. Zhou, ..., Md Raqib Khan (et al.)

#ShadowRemoval #Restoration
2024 ICPR –

Attentive Color Fusion Transformer Network (ACFTNet) for Underwater Image Enhancement

M.U. Wani, Md Raqib Khan, A. Kulkarni, S.S. Phutke, S.K. Vipparthi, S. Murala

#Underwater #Fusion
2023 IJCNN 15 citations

Underwater Image Enhancement with Phase Transfer and Attention

Md Raqib Khan, A. Kulkarni, S.S. Phutke, S. Murala

#Underwater #Attention

Data sourced from Google Scholar. Updates automatically via scholar.json.