541 citations · 1.2k across the 53 of their papers we have counts for
8 papers · 1 filter
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization
Qiaoyun Wu, Kai Xu, Jun Wang +3
To enhance the cross-target and cross-scene generalization of target-driven visual navigation based on deep reinforcement learning (RL), we introduce an information-theoretic regul…
Kernelized Multiview Subspace Analysis by Self-weighted Learning
Huibing Wang, Yang Wang, Zhao Zhang +4
With the popularity of multimedia technology, information is always represented or transmitted from multiple views. Most of the existing algorithms are graph-based ones to learn th…
Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians
Chaochao Li, Pei Lv, Mingliang Xu +4
We present a novel trajectory prediction algorithm for pedestrians based on a personality-aware probabilistic feature map. This map is computed using a spatial query structure and…
Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization
Pei Lv, Haiyu Yu, Junxiao Xue +5
Localizing objects with weak supervision in an image is a key problem of the research in computer vision community. Many existing Weakly-Supervised Object Localization (WSOL) appro…
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection
Yingyue Xu, Dan Xu, Xiaopeng Hong +4
Recent saliency models extensively explore to incorporate multi-scale contextual information from Convolutional Neural Networks (CNNs). Besides direct fusion strategies, many appro…
Adaptive Exploration for Unsupervised Person Re-Identification
Yuhang Ding, Hehe Fan, Mingliang Xu +1
Due to domain bias, directly deploying a deep person re-identification (re-ID) model trained on one dataset often achieves considerably poor accuracy on another dataset. In this pa…
Predicting the Results of LTL Model Checking using Multiple Machine Learning Algorithms
Weijun Zhu, Mingliang Xu, Jianwei Wang
In this paper, we study how to predict the results of LTL model checking using some machine learning algorithms. Some Kripke structures and LTL formulas and their model checking re…
ACSEE: Antagonistic Crowd Simulation Model with Emotional Contagion and Evolutionary Game Theory
Chaochao Li, Pei Lv, Dinesh Manocha +4
Antagonistic crowd behaviors are often observed in cases of serious conflict. Antagonistic emotions, which is the typical psychological state of agents in different roles (i.e. cop…