92 citations · 228 across the 12 of their papers we have counts for
12 papers
Learning Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial Video
Pu Li, Xiaobai Liu
This paper presents an unsupervised approach that leverages raw aerial videos to learn to estimate planar homographic transformation between consecutive video frames. Previous lear…
Learning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms
Pu Li, Marie Roch, Holger Klinck +5
Whistle contour extraction aims to derive animal whistles from time-frequency spectrograms as polylines. For toothed whales, whistle extraction results can serve as the basis for a…
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning
Hongjun Wang, Guanbin Li, Xiaobai Liu +1
Although deep convolutional neural networks (CNNs) have demonstrated remarkable performance on multiple computer vision tasks, researches on adversarial learning have shown that de…
Discrete Optimal Graph Clustering
Yudong Han, Lei Zhu, Zhiyong Cheng +2
Graph based clustering is one of the major clustering methods. Most of it work in three separate steps: similarity graph construction, clustering label relaxing and label discretiz…
Neural Task Planning with And-Or Graph Representations
Tianshui Chen, Riquan Chen, Lin Nie +3
This paper focuses on semantic task planning, i.e., predicting a sequence of actions toward accomplishing a specific task under a certain scene, which is a new problem in computer…
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation
Haoshu Fang, Yuanlu Xu, Wenguan Wang +2
In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation. Our model directly takes 2D pose as input and learns a generalized 2D-3D mapping functio…
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects
Yuanlu Xu, Lei Qin, Xiaobai Liu +2
Tracking humans that are interacting with the other subjects or environment remains unsolved in visual tracking, because the visibility of the human of interests in videos is unkno…
Discrete Multi-modal Hashing with Canonical Views for Robust Mobile Landmark Search
Lei Zhu, Zi Huang, Xiaobai Liu +3
Mobile landmark search (MLS) recently receives increasing attention for its great practical values. However, it still remains unsolved due to two important challenges. One is high…
Geometric Scene Parsing with Hierarchical LSTM
Zhanglin Peng, Ruimao Zhang, Xiaodan Liang +2
This paper addresses the problem of geometric scene parsing, i.e. simultaneously labeling geometric surfaces (e.g. sky, ground and vertical plane) and determining the interaction r…
Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization
Yadong Mu, Wei Liu, Wei Fan
Stochastic gradient descent (SGD) holds as a classical method to build large scale machine learning models over big data. A stochastic gradient is typically calculated from a limit…
Human Re-identification by Matching Compositional Template with Cluster Sampling
Yuanlu Xu, Liang Lin, Wei-Shi Zheng +1
This paper aims at a newly raising task in visual surveillance: re-identifying people at a distance by matching body information, given several reference examples. Most of existing…
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts
Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu +3
Detecting objects becomes difficult when we need to deal with large shape deformation, occlusion and low resolution. We propose a novel approach to i) handle large deformations and…