activity
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

collaborators

9 papers

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.RO2021

Learning to See before Learning to Act: Visual Pre-training for Manipulation

Lin Yen-Chen, Andy Zeng, Shuran Song +2

Does having visual priors (e.g. the ability to detect objects) facilitate learning to perform vision-based manipulation (e.g. picking up objects)? We study this problem under the f…

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.LG2020

Debiased Contrastive Learning

Ching-Yao Chuang, Joshua Robinson, Lin Yen-Chen +2

A prominent technique for self-supervised representation learning has been to contrast semantically similar and dissimilar pairs of samples. Without access to labels, dissimilar (n…

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…