research
∙
03/21/2023
Monocular Visual-Inertial Depth Estimation
We present a visual-inertial depth estimation pipeline that integrates m...
share
research
∙
04/18/2022
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Semantic segmentation models struggle to generalize in the presence of d...
research
∙
01/10/2022
Language-driven Semantic Segmentation
We present LSeg, a novel model for language-driven semantic image segmen...
research
∙
12/21/2021
Transferable End-to-end Room Layout Estimation via Implicit Encoding
We study the problem of estimating room layouts from a single panorama i...
research
∙
10/11/2021
Learning High-Speed Flight in the Wild
Quadrotors are agile. Unlike most other machines, they can traverse extr...
research
∙
10/04/2021
An Analysis of Super-Net Heuristics in Weight-Sharing NAS
Weight sharing promises to make neural architecture search (NAS) tractab...
research
∙
04/12/2021
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search
Weight sharing has become a de facto standard in neural architecture sea...
research
∙
03/24/2021
Vision Transformers for Dense Prediction
We introduce dense vision transformers, an architecture that leverages v...
research
∙
06/10/2020
Deep Drone Acrobatics
Performing acrobatic maneuvers with quadrotors is extremely challenging....
research
∙
05/17/2020
High-dimensional Convolutional Networks for Geometric Pattern Recognition
Many problems in science and engineering can be formulated in terms of g...
research
∙
03/09/2020
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS
Weight sharing promises to make neural architecture search (NAS) tractab...
research
∙
01/22/2020
Safe Robot Navigation via Multi-Modal Anomaly Detection
Navigation in natural outdoor environments requires a robust and reliabl...
research
∙
07/02/2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
The success of monocular depth estimation relies on large and diverse tr...
research
∙
06/15/2019
High Speed and High Dynamic Range Video with an Event Camera
Event cameras are novel sensors that report brightness changes in the fo...
research
∙
05/21/2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization
Dynamically changing environments, unreliable state estimation, and oper...
research
∙
05/15/2019
Feedback MPC for Torque-Controlled Legged Robots
The computational power of mobile robots is currently insufficient to ac...
research
∙
05/09/2019
What Do Single-view 3D Reconstruction Networks Learn?
Convolutional networks for single-view object reconstruction have shown ...
research
∙
04/17/2019
Events-to-Video: Bringing Modern Computer Vision to Event Cameras
Event cameras are novel sensors that report brightness changes in the fo...
research
∙
10/15/2018
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing
Autonomous micro aerial vehicles still struggle with fast and agile mane...
research
∙
09/12/2018
Frequency-Aware Model Predictive Control
Transferring solutions found by trajectory optimization to robotic hardw...
research
∙
06/22/2018
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Autonomous agile flight brings up fundamental challenges in robotics, su...
research
∙
04/21/2014
A higher-order MRF based variational model for multiplicative noise reduction
The Fields of Experts (FoE) image prior model, a filter-based higher-ord...
research
∙
01/16/2014
A bi-level view of inpainting - based image compression
Inpainting based image compression approaches, especially linear and non...
research
∙
01/16/2014
Revisiting loss-specific training of filter-based MRFs for image restoration
It is now well known that Markov random fields (MRFs) are particularly e...
research
∙
01/13/2014
