144 citations · 747 across the 24 of their papers we have counts for
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cs.LG2021★ 9 cited
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Muhammad Awais, Fengwei Zhou, Chuanlong Xie +3
Deep neural networks are susceptible to adversarially crafted, small and imperceptible changes in the natural inputs. The most effective defense mechanism against these examples is…
cs.LG2021★ 2 cited
Adversarial Robustness for Unsupervised Domain Adaptation
Muhammad Awais, Fengwei Zhou, Hang Xu +4
Extensive Unsupervised Domain Adaptation (UDA) studies have shown great success in practice by learning transferable representations across a labeled source domain and an unlabeled…
eess.IV2021★ 1 cited
Audiovisual Saliency Prediction in Uncategorized Video Sequences based on Audio-Video Correlation
Maryam Qamar Butt, Anis Ur Rahman
Substantial research has been done in saliency modeling to develop intelligent machines that can perceive and interpret their surroundings. But existing models treat videos as mere…