232 citations · 941 across the 60 of their papers we have counts for
65 papers
Iterative Vision-and-Language Navigation
Jacob Krantz, Shurjo Banerjee, Wang Zhu +4
We present Iterative Vision-and-Language Navigation (IVLN), a paradigm for evaluating language-guided agents navigating in a persistent environment over time. Existing Vision-and-L…
Learning to Estimate External Forces of Human Motion in Video
Nathan Louis, Tylan N. Templin, Travis D. Eliason +2
Analyzing sports performance or preventing injuries requires capturing ground reaction forces (GRFs) exerted by the human body during certain movements. Standard practice uses phys…
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…
Evaluating and Improving Interactions with Hazy Oracles
Stephan J. Lemmer, Jason J. Corso
Many AI systems integrate sensor inputs, world knowledge, and human-provided information to perform inference. While such systems often treat the human input as flawless, humans ar…
Cross-View Exocentric to Egocentric Video Synthesis
Gaowen Liu, Hao Tang, Hugo Latapie +2
Cross-view video synthesis task seeks to generate video sequences of one view from another dramatically different view. In this paper, we investigate the exocentric (third-person)…
The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting
Ryan Szeto, Jason J. Corso
Quantitative evaluation has increased dramatically among recent video inpainting work, but the video and mask content used to gauge performance has received relatively little atten…