34 citations · 81 across the 6 of their papers we have counts for
7 papers · 1 filter
MultiEarth 2023 -- Multimodal Learning for Earth and Environment Workshop and Challenge
Miriam Cha, Gregory Angelides, Mark Hamilton +6
The Multimodal Learning for Earth and Environment Workshop (MultiEarth 2023) is the second annual CVPR workshop aimed at the monitoring and analysis of the health of Earth ecosyste…
CLA-NeRF: Category-Level Articulated Neural Radiance Field
Wei-Cheng Tseng, Hung-Ju Liao, Lin Yen-Chen +1
We propose CLA-NeRF -- a Category-Level Articulated Neural Radiance Field that can perform view synthesis, part segmentation, and articulated pose estimation. CLA-NeRF is trained a…
Neural Volume Rendering: NeRF And Beyond
Frank Dellaert, Lin Yen-Chen
Besides the COVID-19 pandemic and political upheaval in the US, 2020 was also the year in which neural volume rendering exploded onto the scene, triggered by the impressive NeRF pa…
INeRF: Inverting Neural Radiance Fields for Pose Estimation
Lin Yen-Chen, Pete Florence, Jonathan T. Barron +3
We present iNeRF, a framework that performs mesh-free pose estimation by "inverting" a Neural RadianceField (NeRF). NeRFs have been shown to be remarkably effective for the task of…
Experience-Embedded Visual Foresight
Lin Yen-Chen, Maria Bauza, Phillip Isola
Visual foresight gives an agent a window into the future, which it can use to anticipate events before they happen and plan strategic behavior. Although impressive results have bee…
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight
Yen-Chen Lin, Ming-Yu Liu, Min Sun +1
Deep reinforcement learning has shown promising results in learning control policies for complex sequential decision-making tasks. However, these neural network-based policies are…