1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints
Aditya Nalgunda Ganesh
We present SOccDPT, a memory-efficient approach for 3D semantic occupancy prediction from monocular image input using dense prediction transformers. To address the limitations of e…
cs.CV2023★ 1 cited
OCTraN: 3D Occupancy Convolutional Transformer Network in Unstructured Traffic Scenarios
Aditya Nalgunda Ganesh, Dhruval Pobbathi Badrinath, Harshith Mohan Kumar +2
Modern approaches for vision-centric environment perception for autonomous navigation make extensive use of self-supervised monocular depth estimation algorithms that output dispar…