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Consensus-Guided Correspondence Denoising
Correspondence selection between two groups of feature points aims to co...
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Video Self-Stitching Graph Network for Temporal Action Localization
Temporal action localization (TAL) in videos is a challenging task, espe...
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A Reweighted Meta Learning Framework for Robust Few Shot Learning
Model-Agnostic Meta-Learning (MAML) is a popular gradient-based meta-lea...
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On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries
Large-scale semantic parsing datasets annotated with logical forms have ...
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Unfairness Discovery and Prevention For Few-Shot Regression
We study fairness in supervised few-shot meta-learning models that are s...
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Fair Meta-Learning For Few-Shot Classification
Artificial intelligence nowadays plays an increasingly prominent role in...
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Rank-Based Multi-task Learning for Fair Regression
In this work, we develop a novel fairness learning approach for multi-ta...
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A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images
Purpose: Proximal femur image analyses based on quantitative computed to...
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LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching
The local reference frame (LRF) acts as a critical role in 3D local shap...
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QDNN: DNN with Quantum Neural Network Layers
The deep neural network (DNN) became the most important and powerful mac...
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Learning Semantic Neural Tree for Human Parsing
The majority of existing human parsing methods formulate the task as sem...
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G-TAD: Sub-Graph Localization for Temporal Action Detection
Temporal action detection is a fundamental yet challenging task in video...
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Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology
Point cloud analysis is a basic task in 3D computer vision, which attrac...
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Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
Fine-grained visual categorization (FGVC) is an important but challengin...
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Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence
Matching corresponding features between two images is a fundamental task...
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Comparative evaluation of 2D feature correspondence selection algorithms
Correspondence selection aiming at seeking correct feature correspondenc...
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Learning to Fuse Local Geometric Features for 3D Rigid Data Matching
This paper presents a simple yet very effective data-driven approach to ...
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ThumbNet: One Thumbnail Image Contains All You Need for Recognition
Although deep convolutional neural networks (CNNs) have achieved great s...
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NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences
Feature correspondence selection is pivotal to many feature-matching bas...
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LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning
LightNet is a lightweight, versatile and purely Matlab-based deep learni...
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Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization
From many fewer acquired measurements than suggested by the Nyquist samp...
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Image Super-Resolution via Dual-Dictionary Learning And Sparse Representation
Learning-based image super-resolution aims to reconstruct high-frequency...
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