Search Results for author:
Found 7 papers, 1 papers with code
3D Face Style Transfer with a Hybrid Solution of NeRF and Mesh Rasterization
We therefore propose a hybrid framework of NeRF and mesh rasterization to combine the benefits of high fidelity geometry reconstruction of NeRF and fast rendering speed of mesh.
Language Grounded QFormer for Efficient Vision Language Understanding
Large-scale pretraining and instruction tuning have been successful for training general-purpose language models with broad competencies.
Avoiding spurious correlations via logit correction
Empirical studies suggest that machine learning models trained with empirical risk minimization (ERM) often rely on attributes that may be spuriously correlated with the class labels.
Multi-modal Tracking for Object based SLAM
We present an on-line 3D visual object tracking framework for monocular cameras by incorporating spatial knowledge and uncertainty from semantic mapping along with high frequency measurements from visual odometry.
Dynamic Body VSLAM with Semantic Constraints
We show results on the challenging KITTI urban dataset for accuracy of motion segmentation and reconstruction of the trajectory and shape of moving objects relative to ground truth.
Semantic Motion Segmentation Using Dense CRF Formulation
We pro- pose an algorithm that jointly infers the semantic class and motion labels of an object.
