Search Results for author:
Found 4 papers, 2 papers with code
CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis
When dealing with few-shot settings, i. e. with a small set of input views, the training could overfit those views, leading to artifacts and geometric and chromatic inconsistencies in the resulting rendering.
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU
Self-driving vehicles and autonomous ground robots require a reliable and accurate method to analyze the traversability of the surrounding environment for safe navigation.
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
The proposed approach achieves cutting-edge results without the need of training the models with real annotated data of human body parts.
Active Detection and Localization of Textureless Objects in Cluttered Environments
This paper introduces an active object detection and localization framework that combines a robust untextured object detection and 3D pose estimation algorithm with a novel next-best-view selection strategy.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
