9 citations · 11 across the 5 of their papers we have counts for
5 papers
MV2: Multi-View Multi-Vehicle Driving Dataset for Novel View Synthesis
Sanjay Bhargav Dharavath, Hanvitha Saraswathi Mukkamala, Faizan Farooq Khan +4
Differentiable rendering has advanced novel view synthesis (NVS), yet applying it to real-world driving remains difficult due to sparse capture viewpoints, dynamic objects, and lim…
SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging Environments
Tanmoy Dam, Sanjay Bhargav Dharavath, Sameer Alam +4
The fusion of LiDAR and camera sensors has demonstrated significant effectiveness in achieving accurate detection for short-range tasks in autonomous driving. However, this fusion…
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs
Sanjay Bhargav Dharavath, Tanmoy Dam, Supriyo Chakraborty +2
The field of autonomous vehicles (AVs) predominantly leverages multi-modal integration of LiDAR and camera data to achieve better performance compared to using a single modality. H…
AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer
Tanmoy Dam, Sanjay Bhargav Dharavath, Sameer Alam +3
Combining LiDAR and camera data has shown potential in enhancing short-distance object detection in autonomous driving systems. Yet, the fusion encounters difficulties with extende…
OrthoSeisnet: Seismic Inversion through Orthogonal Multi-scale Frequency Domain U-Net for Geophysical Exploration
Supriyo Chakraborty, Aurobinda Routray, Sanjay Bhargav Dharavath +1
Seismic inversion is crucial in hydrocarbon exploration, particularly for detecting hydrocarbons in thin layers. However, the detection of sparse thin layers within seismic dataset…