5 papers · 1 filter
Q-TART: Quickly Training for Adversarial Robustness and in-Transferability
Madan Ravi Ganesh, Salimeh Yasaei Sekeh, Jason J. Corso
Raw deep neural network (DNN) performance is not enough; in real-world settings, computational load, training efficiency and adversarial security are just as or even more important…
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation
Madan Ravi Ganesh, Jason J. Corso
Like humans, deep networks have been shown to learn better when samples are organized and introduced in a meaningful order or curriculum. Conventional curriculum learning schemes i…
ViP: Video Platform for PyTorch
Madan Ravi Ganesh, Eric Hofesmann, Nathan Louis +1
This work presents the Video Platform for PyTorch (ViP), a deep learning-based framework designed to handle and extend to any problem domain based on videos. ViP supports (1) a sin…
M-PACT: An Open Source Platform for Repeatable Activity Classification Research
Eric Hofesmann, Madan Ravi Ganesh, Jason J. Corso
There are many hurdles that prevent the replication of existing work which hinders the development of new activity classification models. These hurdles include switching between mu…
T-RECS: Training for Rate-Invariant Embeddings by Controlling Speed for Action Recognition
Madan Ravi Ganesh, Eric Hofesmann, Byungsu Min +2
An action should remain identifiable when modifying its speed: consider the contrast between an expert chef and a novice chef each chopping an onion. Here, we expect the novice che…