no code implementations • 11 May 2021 • Guiyu Tian, Wenhao Jiang, Wei Liu, Yadong Mu
To this end, MorphNet jointly optimizes two objectives for sample-adaptive poisoning: a reconstruction loss that preserves the visual similarity between benign / poisoned point clouds, and a classification loss that enforces a modern recognition model of point clouds tends to mis-classify the poisoned sample to a pre-specified target category.
1 code implementation • MM '19: Proceedings of the 27th ACM International Conference on Multimedia 2019 • Lu Chi, Guiyu Tian, Yadong Mu, Lingxi Xie, Qi Tian
We show its equivalence to conducting residual learning in some spectral domain and carefully re-formulate a variety of neural layers into their spectral forms, such as ReLU or convolutions.
no code implementations • 1 Aug 2019 • Lu Chi, Guiyu Tian, Yadong Mu, Qi Tian
In the experiments, we comprehensively compare our method with two-stream and non-local models widely used in video classification.
Ranked #32 on Action Recognition on UCF101