4 citations · 8 across the 5 of their papers we have counts for
5 papers
Random Position Adversarial Patch for Vision Transformers
Mingzhen Shao
Previous studies have shown the vulnerability of vision transformers to adversarial patches, but these studies all rely on a critical assumption: the attack patches must be perfect…
Brightness-Restricted Adversarial Attack Patch
Mingzhen Shao
Adversarial attack patches have gained increasing attention due to their practical applicability in physical-world scenarios. However, the bright colors used in attack patches repr…
Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go
Ye-Cong Wan, Ming-Wen Shao, Yuan-Shuo Cheng +2
Adverse conditions typically suffer from stochastic hybrid weather degradations (e.g., rainy and hazy night), while existing image restoration algorithms envisage that weather degr…
Analyzing the Domain Shift Immunity of Deep Homography Estimation
Mingzhen Shao, Tolga Tasdizen, Sarang Joshi
Homography estimation serves as a fundamental technique for image alignment in a wide array of applications. The advent of convolutional neural networks has introduced learning-bas…
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment
Mingzhen Shao, Zhun Sun, Mete Ozay +1
We address a problem of estimating pose of a person's head from its RGB image. The employment of CNNs for the problem has contributed to significant improvement in accuracy in rece…