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Engineering Paper Reviews
AI-generated reviews of key Engineering papers, structured into motivation, method, and results.
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9999+ results
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
Pete Florence, Lucas Manuelli, +1
arXiv (Cornell University)
|
2018
|
99 citations
Electrochemical Modeling of GITT Measurements for Improved Solid-State Diffusion Coefficient Evaluation
Jeffrey Horner, Grace Whang, +6
arXiv (Cornell University)
|
2021
|
99 citations
Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets
Dan Garber, Elad Hazan
arXiv (Cornell University)
|
2014
|
99 citations
From optimal transport to generative modeling: the VEGAN cookbook
Olivier Bousquet, Sylvain Gelly, +3
arXiv (Cornell University)
|
2017
|
99 citations
Learned Spectral Super-Resolution
Silvano Galliani, Charis Lanaras, +3
arXiv (Cornell University)
|
2017
|
99 citations
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Tixiao Shan, Brendan Englot, +4
arXiv (Cornell University)
|
2020
|
99 citations
Pretrained Transformers as Universal Computation Engines
Kevin Lü, Aditya Grover, +2
arXiv (Cornell University)
|
2021
|
99 citations
A Comparative Study of Removal Noise from Remote Sensing Image
Salem Saleh Al-amri, N. V. Kalyankar, +1
arXiv (Cornell University)
|
2010
|
98 citations
DDD17: End-To-End DAVIS Driving Dataset
Jonathan Binas, Daniel Neil, +2
arXiv (Cornell University)
|
2017
|
98 citations
Deep Neural Network for Real-Time Autonomous Indoor Navigation
Dong Ki Kim, Tsuhan Chen
arXiv (Cornell University)
|
2015
|
98 citations
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