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04/04/2023
SLPerf: a Unified Framework for Benchmarking Split Learning
Data privacy concerns has made centralized training of data, which is sc...
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03/30/2022
An Iterative Co-Training Transductive Framework for Zero Shot Learning
In zero-shot learning (ZSL) community, it is generally recognized that t...
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03/17/2022
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector
Zero-shot learning (ZSL) aims to recognize objects from unseen classes, ...
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01/16/2022
Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction
How to use multiple optical satellite images to recover the 3D scene str...
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01/14/2022
HardBoost: Boosting Zero-Shot Learning with Hard Classes
This work is a systematical analysis on the so-called hard class problem...
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07/07/2021
Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
Many recent works show that a spatial manipulation module could boost th...
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07/01/2021
Segmenting 3D Hybrid Scenes via Zero-Shot Learning
This work is to tackle the problem of point cloud semantic segmentation ...
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06/01/2021
Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning
Transductive zero-shot learning (T-ZSL) which could alleviate the domain...
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10/22/2020
Optimization-Based Visual-Inertial SLAM Tightly Coupled with Raw GNSS Measurements
Fusing vision, Inertial Measurement Unit (IMU) and Global Navigation Sat...
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08/29/2020
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature
Recently, many zero-shot learning (ZSL) methods focused on learning disc...
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02/01/2020
Bidirectional Trajectory Computation for Odometer-Aided Visual-Inertial SLAM
Odometer-aided visual-inertial SLAM systems typically have a good perfor...
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10/22/2019
Face representation by deep learning: a linear encoding in a parameter space?
Recently, Convolutional Neural Networks (CNNs) have achieved tremendous ...
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06/06/2019
Non-uniqueness phenomenon of object representation in modelling IT cortex by deep convolutional neural network (DCNN)
Recently DCNN (Deep Convolutional Neural Network) has been advocated as ...
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04/21/2019
Complete Scene Reconstruction by Merging Images and Laser Scans
Image based modeling and laser scanning are two commonly used approaches...
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03/27/2018
Learning Depth from Single Images with Deep Neural Network Embedding Focal Length
Learning depth from a single image, as an important issue in scene under...
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03/23/2018
CSfM: Community-based Structure from Motion
Structure-from-Motion approaches could be broadly divided into two class...
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12/12/2016
Statistics of Visual Responses to Object Stimuli from Primate AIT Neurons to DNN Neurons
Cadieu et al. (Cadieu,2014) reported that deep neural networks(DNNs) cou...
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04/26/2016
Modern Physiognomy: An Investigation on Predicting Personality Traits and Intelligence from the Human Face
The human behavior of evaluating other individuals with respect to their...
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12/01/2015
