195 citations · 303 across the 19 of their papers we have counts for
19 papers
An Iterative Co-Training Transductive Framework for Zero Shot Learning
Bo Liu, Lihua Hu, Qiulei Dong +1
In zero-shot learning (ZSL) community, it is generally recognized that transductive learning performs better than inductive one as the unseen-class samples are also used in its tra…
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector
Bo Liu, Qiulei Dong, Zhanyi Hu
Zero-shot learning (ZSL) aims to recognize objects from unseen classes, where the kernel problem is to transfer knowledge from seen classes to unseen classes by establishing approp…
Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction
Pinhe Wang, Limin Shi, Bao Chen +3
How to use multiple optical satellite images to recover the 3D scene structure is a challenging and important problem in the remote sensing field. Most existing methods in literatu…
HardBoost: Boosting Zero-Shot Learning with Hard Classes
Bo Liu, Lihua Hu, Zhanyi Hu +1
This work is a systematical analysis on the so-called hard class problem in zero-shot learning (ZSL), that is, some unseen classes disproportionally affect the ZSL performances tha…
Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
Shuang Deng, Bo Liu, Qiulei Dong +1
Many recent works show that a spatial manipulation module could boost the performances of deep neural networks (DNNs) for 3D point cloud analysis. In this paper, we aim to provide…
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds
Shuang Deng, Qiulei Dong, Bo Liu +1
3D point cloud semantic segmentation is a challenging topic in the computer vision field. Most of the existing methods in literature require a large amount of fully labeled trainin…
Language-Level Semantics Conditioned 3D Point Cloud Segmentation
Bo Liu, Shuang Deng, Qiulei Dong +1
In this work, a language-level Semantics Conditioned framework for 3D Point cloud segmentation, called SeCondPoint, is proposed, where language-level semantics are introduced to co…
Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning
Liu Bo, Qiulei Dong, Zhanyi Hu
Transductive zero-shot learning (T-ZSL) which could alleviate the domain shift problem in existing ZSL works, has received much attention recently. However, an open problem in T-ZS…
Optimization-Based Visual-Inertial SLAM Tightly Coupled with Raw GNSS Measurements
Jinxu Liu, Wei Gao, Zhanyi Hu
Unlike loose coupling approaches and the EKF-based approaches in the literature, we propose an optimization-based visual-inertial SLAM tightly coupled with raw Global Navigation Sa…
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature
Bo Liu, Qiulei Dong, Zhanyi Hu
Recently, many zero-shot learning (ZSL) methods focused on learning discriminative object features in an embedding feature space, however, the distributions of the unseen-class fea…
Bidirectional Trajectory Computation for Odometer-Aided Visual-Inertial SLAM
Jinxu Liu, Wei Gao, Zhanyi Hu
Odometer-aided visual-inertial SLAM systems typically have a good performance for navigation of wheeled platforms, while they usually suffer from degenerate cases before the first…
Face representation by deep learning: a linear encoding in a parameter space?
Qiulei Dong, Jiayin Sun, Zhanyi Hu
Recently, Convolutional Neural Networks (CNNs) have achieved tremendous performances on face recognition, and one popular perspective regarding CNNs' success is that CNNs could lea…
Non-uniqueness phenomenon of object representation in modelling IT cortex by deep convolutional neural network (DCNN)
Qiulei Dong, Bo Liu, Zhanyi Hu
Recently DCNN (Deep Convolutional Neural Network) has been advocated as a general and promising modelling approach for neural object representation in primate inferotemporal cortex…
Complete Scene Reconstruction by Merging Images and Laser Scans
Xiang Gao, Shuhan Shen, Lingjie Zhu +3
Image based modeling and laser scanning are two commonly used approaches in large-scale architectural scene reconstruction nowadays. In order to generate a complete scene reconstru…
Learning Depth from Single Images with Deep Neural Network Embedding Focal Length
Lei He, Guanghui Wang, Zhanyi Hu
Learning depth from a single image, as an important issue in scene understanding, has attracted a lot of attention in the past decade. The accuracy of the depth estimation has been…
CSfM: Community-based Structure from Motion
Hainan Cui, Shuhan Shen, Xiang Gao +1
Structure-from-Motion approaches could be broadly divided into two classes: incremental and global. While incremental manner is robust to outliers, it suffers from error accumulati…
Statistics of Visual Responses to Object Stimuli from Primate AIT Neurons to DNN Neurons
Qiulei Dong, Zhanyi Hu
Cadieu et al. (Cadieu,2014) reported that deep neural networks(DNNs) could rival the representation of primate inferotemporal cortex for object recognition. Lehky et al. (Lehky,201…
Modern Physiognomy: An Investigation on Predicting Personality Traits and Intelligence from the Human Face
Rizhen Qin, Wei Gao, Huarong Xu +1
The human behavior of evaluating other individuals with respect to their personality traits and intelligence by evaluating their faces plays a crucial role in human relations. Thes…
Dynamic Parallel and Distributed Graph Cuts
Miao Yu, Shuhan Shen, Zhanyi Hu
Graph-cuts are widely used in computer vision. In order to speed up the optimization process and improve the scalability for large graphs, Strandmark and Kahl introduced a splittin…