Search Results for author: Qiuhong Ke

Found 16 papers, 0 papers with code

Spatial-Temporal Transformer for 3D Point Cloud Sequences

no code implementations19 Oct 2021 Yimin Wei, Hao liu, TingTing Xie, Qiuhong Ke, Yulan Guo

We test the effectiveness our PST2 with two different tasks on point cloud sequences, i. e., 4D semantic segmentation and 3D action recognition.

3D Action Recognition Semantic Segmentation

Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting

no code implementations3 Jun 2021 Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang

A promising countermeasure against such forgeries is deep inpainting detection, which aims to locate the inpainted regions in an image.

Image Inpainting

HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks

no code implementations25 Jan 2021 Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang

Experimental results show that compared with the state-of-the-art models, which imitate hexagonal processing but using rectangle-shaped filters, HexCNN reduces the training time by up to 42. 2%.

Aerial Scene Classification Scene Classification

Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions

no code implementations17 Jan 2021 Nodens Koren, Qiuhong Ke, Yisen Wang, James Bailey, Xingjun Ma

Understanding the actions of both humans and artificial intelligence (AI) agents is important before modern AI systems can be fully integrated into our daily life.

Adversarial Attack

Human Action Recognition from Various Data Modalities: A Review

no code implementations22 Dec 2020 Zehua Sun, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang, Jun Liu

Human Action Recognition (HAR) aims to understand human behavior and assign a label to each action.

Action Recognition

Hierarchical Paired Channel Fusion Network for Street Scene Change Detection

no code implementations19 Oct 2020 Yinjie Lei, Duo Peng, Pingping Zhang, Qiuhong Ke, Haifeng Li

Based on the MPFL strategy, our framework achieves a novel approach to adapt to the scale and location diversities of the scene change regions.

Scene Change Detection

Long-Term Anticipation of Activities with Cycle Consistency

no code implementations2 Sep 2020 Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall

With the success of deep learning methods in analyzing activities in videos, more attention has recently been focused towards anticipating future activities.

Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction

no code implementations18 Aug 2016 Qiuhong Ke, Mohammed Bennamoun, Senjian An, Farid Bossaid, Ferdous Sohel

The structural models, including the spatial and the temporal models, are learned with Long Short Term Memory (LSTM) networks to capture the dependency of the global and local contexts of each RGB frame and each optical flow image, respectively.

Human robot interaction Optical Flow Estimation

Is Rotation a Nuisance in Shape Recognition?

no code implementations CVPR 2014 Qiuhong Ke, Yi Li

and 3) how to use rotation unaware local features for rotation aware shape recognition?

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