321 citations · 1.8k across the 66 of their papers we have counts for
10 papers · 1 filter
Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks
Jun Jia, Zhongpai Gao, Kang Chen +4
In the era of multimedia and Internet, people are eager to obtain information from offline to online. Quick Response (QR) codes and digital watermarks help us access information qu…
Toward Better Understanding of Saliency Prediction in Augmented 360 Degree Videos
Yucheng Zhu, Xiongkuo Min, DanDan Zhu +5
Augmented reality (AR) overlays digital content onto the reality. In AR system, correct and precise estimations of user's visual fixations and head movements can enhance the qualit…
Decoding Spiking Mechanism with Dynamic Learning on Neuron Population
Zhijie Chen, Junchi Yan, Longyuan Li +1
A main concern in cognitive neuroscience is to decode the overt neural spike train observations and infer latent representations under neural circuits. However, traditional methods…
Deep Unsupervised Clustering with Clustered Generator Model
Dandan Zhu, Tian Han, Linqi Zhou +2
This paper addresses the problem of unsupervised clustering which remains one of the most fundamental challenges in machine learning and artificial intelligence. We propose the clu…
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching
Runzhong Wang, Junchi Yan, Xiaokang Yang
Graph matching involves combinatorial optimization based on edge-to-edge affinity matrix, which can be generally formulated as Lawler's Quadratic Assignment Problem (QAP). This pap…
Learning to Blindly Assess Image Quality in the Laboratory and Wild
Weixia Zhang, Kede Ma, Guangtao Zhai +1
Computational models for blind image quality assessment (BIQA) are typically trained in well-controlled laboratory environments with limited generalizability to realistically disto…
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering
Weichang Wu, Junchi Yan, Xiaokang Yang +1
Temporal point process is an expressive tool for modeling event sequences over time. In this paper, we take a reinforcement learning view whereby the observed sequences are assumed…
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer
Xinyuan Chen, Chang Xu, Xiaokang Yang +2
Style transfer describes the rendering of an image semantic content as different artistic styles. Recently, generative adversarial networks (GANs) have emerged as an effective appr…
Learning Context Graph for Person Search
Yichao Yan, Qiang Zhang, Bingbing Ni +3
Person re-identification has achieved great progress with deep convolutional neural networks. However, most previous methods focus on learning individual appearance feature embeddi…
Learning Combinatorial Embedding Networks for Deep Graph Matching
Runzhong Wang, Junchi Yan, Xiaokang Yang
Graph matching refers to finding node correspondence between graphs, such that the corresponding node and edge's affinity can be maximized. In addition with its NP-completeness nat…