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20172022
most citedDetecting Adversarial Attacks on Neural Network Policies with Visual Foresight

34 citations · 81 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.CV20234 cited

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…

cs.CV2022

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…

cs.CV202133 cited

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…

cs.CV2020

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…

cs.CV201914 cited

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…

cs.CV201734 cited

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…