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Thumbnail for Inverse Neural Rendering for Explainable Multi-Object Tracking, Tanushree Banerjee, UG '24 (611179F4)

Inverse Neural Rendering for Explainable…

duration 3 minutes 0 seconds

Inverse Neural Rendering for Explainable…

Inverse Neural Rendering for Explainable Multi-Object Tracking, Tanushree Banerjee, UG '24 (611179F4)

Inverse Neural Rendering for Explainable Multi-Object Tracking, Tanushree Banerjee, UG '24 (611179F4)

Today, most methods for image understanding tasks rely on feed-forward neural networks. While this approach has allowed for empirical accuracy, efficiency, and task adaptation via fine-tuning, it…

prd24
object
properties
image
graphics
cars
tracking
approach
prediction
appearance
shape
pipeline
driving
model
feed
features
input
frames
problem
approaches
computer
From  Research Princeton Research Day 5 likes 381 plays
Date
May 3rd, 2024
Speaker
Tanushree Banerjee, UG '24 (611179F4)
Department
Computer Science
Thumbnail for ReMatch+ Intern — Chi Luc

ReMatch+ Intern — Chi Luc

duration 3 minutes 28 seconds

ReMatch+ Intern — Chi Luc

ReMatch+ Intern — Chi Luc

ReMatch+ Intern — Chi Luc

Evaluation of Low Frequency Sinusoid Steel Plates for the Design of Seismic Resistant Buildings Advised by: Prof. Maria Garlock, Civil and Environmental Engineering Parfait Masungi, Civil and…

plates
lfs
walls
plate
systems
wall
paper
frequency
strength
structures
amplitude
unit
models
model
boundary
frequencies
panel
bridge
frames
force
From  our Undergraduate Research 0 likes 19 plays
Date
July 30th, 2023
Speaker
Chi Luc
Department
Office of Undergraduate Research