8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces
Volodymyr Kuleshov, Evgenii Nikishin, Shantanu Thakoor +2
Modern classification algorithms are susceptible to adversarial examples--perturbations to inputs that cause the algorithm to produce undesirable behavior. In this work, we seek to…
cs.CV2021
Video Content Swapping Using GAN
Tingfung Lau, Sailun Xu, Xinze Wang
Video generation is an interesting problem in computer vision. It is quite popular for data augmentation, special effect in move, AR/VR and so on. With the advances of deep learnin…
cs.CV2019★ 8 cited
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions
Tingfung Lau, Nathan Ng, Julian Gingold +3
To optimize clinical outcomes, fertility clinics must strategically select which embryos to transfer. Common selection heuristics are formulas expressed in terms of the durations r…