489 citations · 822 across the 5 of their papers we have counts for
7 papers
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Krishna Murthy Jatavallabhula, Edward Smith, Jean-Francois Lafleche +6
We present Kaolin, a PyTorch library aiming to accelerate 3D deep learning research. Kaolin provides efficient implementations of differentiable 3D modules for use in deep learning…
Residual Parameter Transfer for Deep Domain Adaptation
Artem Rozantsev, Mathieu Salzmann, Pascal Fua
The goal of Deep Domain Adaptation is to make it possible to use Deep Nets trained in one domain where there is enough annotated training data in another where there is little or n…
Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras
Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey +1
We propose a new method to estimate the 6-dof trajectory of a flying object such as a quadrotor UAV within a 3D airspace monitored using multiple fixed ground cameras. It is based…
Beyond Sharing Weights for Deep Domain Adaptation
Artem Rozantsev, Mathieu Salzmann, Pascal Fua
The performance of a classifier trained on data coming from a specific domain typically degrades when applied to a related but different one. While annotating many samples from the…
Direct Prediction of 3D Body Poses from Motion Compensated Sequences
Bugra Tekin, Artem Rozantsev, Vincent Lepetit +1
We propose an efficient approach to exploiting motion information from consecutive frames of a video sequence to recover the 3D pose of people. Previous approaches typically comput…
On Rendering Synthetic Images for Training an Object Detector
Artem Rozantsev, Vincent Lepetit, Pascal Fua
We propose a novel approach to synthesizing images that are effective for training object detectors. Starting from a small set of real images, our algorithm estimates the rendering…
Flying Objects Detection from a Single Moving Camera
Artem Rozantsev, Vincent Lepetit, Pascal Fua
We propose an approach to detect flying objects such as UAVs and aircrafts when they occupy a small portion of the field of view, possibly moving against complex backgrounds, and a…