158 citations · 759 across the 45 of their papers we have counts for
9 papers · 1 filter
Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent
Huan Xiong, Mengyang Yu, Li Liu +3
Binary optimization, a representative subclass of discrete optimization, plays an important role in mathematical optimization and has various applications in computer vision and ma…
Cooperative Cross-Stream Network for Discriminative Action Representation
Jingran Zhang, Fumin Shen, Xing Xu +1
Spatial and temporal stream model has gained great success in video action recognition. Most existing works pay more attention to designing effective features fusion methods, which…
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning
Zhijun Mai, Guosheng Hu, Dexiong Chen +2
MixUp is an effective data augmentation method to regularize deep neural networks via random linear interpolations between pairs of samples and their labels. It plays an important…
Temporal Reasoning Graph for Activity Recognition
Jingran Zhang, Fumin Shen, Xing Xu +1
Despite great success has been achieved in activity analysis, it still has many challenges. Most existing work in activity recognition pay more attention to design efficient archit…
Make a Face: Towards Arbitrary High Fidelity Face Manipulation
Shengju Qian, Kwan-Yee Lin, Wayne Wu +5
Recent studies have shown remarkable success in face manipulation task with the advance of GANs and VAEs paradigms, but the outputs are sometimes limited to low-resolution and lack…
Extracting Visual Knowledge from the Internet: Making Sense of Image Data
Yazhou Yao, Jian Zhang, Xiansheng Hua +2
Recent successes in visual recognition can be primarily attributed to feature representation, learning algorithms, and the ever-increasing size of labeled training data. Extensive…
Dynamically Visual Disambiguation of Keyword-based Image Search
Yazhou Yao, Zeren Sun, Fumin Shen +6
Due to the high cost of manual annotation, learning directly from the web has attracted broad attention. One issue that limits their performance is the problem of visual polysemy.…
Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
Yan Xu, Baoyuan Wu, Fumin Shen +4
In this work, we study the robustness of a CNN+RNN based image captioning system being subjected to adversarial noises. We propose to fool an image captioning system to generate so…
A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition
Yanli Ji, Feixiang Xu, Yang Yang +3
Current researches of action recognition mainly focus on single-view and multi-view recognition, which can hardly satisfies the requirements of human-robot interaction (HRI) applic…