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20132022
most citedDetection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection

232 citations · 270 across the 10 of their papers we have counts for

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cs.CV2022

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…

cs.CV2021

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)…

cs.CV2021

Depth from Camera Motion and Object Detection

Brent A. Griffin, Jason J. Corso

This paper addresses the problem of learning to estimate the depth of detected objects given some measurement of camera motion (e.g., from robot kinematics or vehicle odometry). We…

cs.CV20201 cited

Integrating Human Gaze into Attention for Egocentric Activity Recognition

Kyle Min, Jason J. Corso

It is well known that human gaze carries significant information about visual attention. However, there are three main difficulties in incorporating the gaze data in an attention m…

cs.CV2020232 cited

Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection

Duygu Sarikaya, Jason J. Corso, Khurshid A. Guru

Video understanding of robot-assisted surgery (RAS) videos is an active research area. Modeling the gestures and skill level of surgeons presents an interesting problem. The insigh…

cs.CV20208 cited

Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization

Kyle Min, Jason J. Corso

Temporally localizing activities within untrimmed videos has been extensively studied in recent years. Despite recent advances, existing methods for weakly-supervised temporal acti…