Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks

no code implementations • 4 Mar 2021 • Zhiqun Zhao, Hengyou Wang, Hao Sun, Zhihai He

In this work, we propose to develop a structure-preserving progressive low-rank image completion (SPLIC) method to remove unneeded texture details from the input images and shift the bias of deep neural networks towards global object structures and semantic cues.

Adversarial Robustness Low-Rank Matrix Completion

Reciprocal Learning Networks for Human Trajectory Prediction

no code implementations • CVPR 2020 • Hao Sun, Zhiqun Zhao, Zhihai He

Based on this unique property, we develop a new approach, called reciprocal learning, for human trajectory prediction.

Trajectory Prediction

Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets

no code implementations • 4 Sep 2019 • Yang Li, Jianhe Yuan, Zhiqun Zhao, Hao Sun, Zhihai He

In this work, we develop a joint sample discovery and iterative model evolution method for semi-supervised learning on very small labeled training sets.

Progressive Neural Networks for Image Classification

no code implementations • 25 Apr 2018 • Zhi Zhang, Guanghan Ning, Yigang Cen, Yang Li, Zhiqun Zhao, Hao Sun, Zhihai He

The inference structures and computational complexity of existing deep neural networks, once trained, are fixed and remain the same for all test images.

Classification General Classification +1