Search Results for author:
Found 30 papers, 12 papers with code
CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation
In this paper, we propose a novel heart segmentation pipeline Combining Faster R-CNN and U-net Network (CFUN).
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos
The generated text prompts are paired with corresponding video clips, and together co-train the text encoder and the video encoder via a contrastive approach.
Ranked #4 on
Action Segmentation
on GTEA
(using extra training data)
Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes
In this article, we propose Human-M3, an outdoor multi-modal multi-view multi-person human pose database which includes not only multi-view RGB videos of outdoor scenes but also corresponding pointclouds.
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
An ordinal distribution constraint is proposed to exploit the ordinal nature of regression.
Ranked #2 on
Age Estimation
on Adience
Aesthetics Quality Assessment
Age And Gender Classification
+3
LiDAR-based Person Re-identification
Camera-based person re-identification (ReID) systems have been widely applied in the field of public security.
Label2Label: A Language Modeling Framework for Multi-Attribute Learning
As each sample is annotated with multiple attribute labels, these "words" will naturally form an unordered but meaningful "sentence", which depicts the semantic information of the corresponding sample.
Graph-Based Social Relation Reasoning
Human beings are fundamentally sociable -- that we generally organize our social lives in terms of relations with other people.
Ranked #1 on
Visual Social Relationship Recognition
on PIPA
LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
In recent years, point cloud perception tasks have been garnering increasing attention.
Ranked #1 on
3D Human Pose Estimation
on SLOPER4D
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection
To alleviate this issue, we employ maximum intensity projection (MIP) to decrease the dimensionality of 3D volume to 2D image for efficient annotation, and the 2D labels are utilized to provide guidance and oversight for training 3D vessel segmentation model.
HumanReg: Self-supervised Non-rigid Registration of Human Point Cloud
In this paper, we present a novel registration framework, HumanReg, that learns a non-rigid transformation between two human point clouds end-to-end.
The Medical Segmentation Decathlon
Segmentation is so far the most widely investigated medical image processing task, but the various segmentation challenges have typically been organized in isolation, such that algorithm development was driven by the need to tackle a single specific clinical problem.
MetaAge: Meta-Learning Personalized Age Estimators
Unlike most existing personalized methods that learn the parameters of a personalized estimator for each person in the training set, our method learns the mapping from identity information to age estimator parameters.
Ranked #1 on
Age Estimation
on ChaLearn 2015
Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition
Specifically, we construct a pair of deep convolutional neural networks (CNNs) for the RGB and depth data, and concatenate them at the top layer of the network with a loss function which learns a new feature space where both correlated part and the individual part of the RGB-D information are well modelled.
Smooth Representation Clustering
Based on our analysis, we propose the SMooth Representation (SMR) model.
Learning Deep Binary Descriptor With Multi-Quantization
In this paper, we propose an unsupervised feature learning method called deep binary descriptor with multi-quantization (DBD-MQ) for visual matching.
Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network
In this paper, we propose a consistent-aware deep learning (CADL) framework for person re-identification in a camera network.
Multiple Feature Fusion via Weighted Entropy for Visual Tracking
It is desirable to combine multiple feature descriptors to improve the visual tracking performance because different features can provide complementary information to describe objects of interest.
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation
Existing methods for age estimation usually apply a divide-and-conquer strategy to deal with heterogeneous data caused by the non-stationary aging process.
Ranked #2 on
Age Estimation
on FGNET
Dense Registration and Mosaicking of Fingerprints by Training an End-to-End Network
In addition, based on the proposed registration algorithm, we propose a fingerprint mosaicking method based on optimal seam selection.
Graph-based Kinship Reasoning Network
In this paper, we propose a graph-based kinship reasoning (GKR) network for kinship verification, which aims to effectively perform relational reasoning on the extracted features of an image pair.
Ranked #3 on
Kinship Verification
on KinFaceW-II
Latent Fingerprint Registration via Matching Densely Sampled Points
Given a pair of fingerprints to match, we bypass the minutiae extraction step and take uniformly sampled points as key points.
Semantics-Driven Unsupervised Learning for Monocular Depth and Ego-Motion Estimation
In our method, we exploit semantic segmentation information to mitigate the effects of dynamic objects and occlusions in the scene, and to improve depth prediction performance by considering the correlation between depth and semantics.
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Segmentation of infected areas in chest CT volumes is of great significance for further diagnosis and treatment of COVID-19 patients.
Meta-Mining Discriminative Samples for Kinship Verification
In the end, the samples in the unbalanced train batch are re-weighted by the learned meta-miner to optimize the kinship models.
Ranked #1 on
Kinship Verification
on KinFaceW-II
Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical
To address this, we propose a Star-shaped Reasoning Graph Network (S-RGN).
Ranked #1 on
Kinship Verification
on KinFaceW-I
Monocular 3D Fingerprint Reconstruction and Unwarping
Compared with contact-based fingerprint acquisition techniques, contactless acquisition has the advantages of less skin distortion, larger fingerprint area, and hygienic acquisition.
Cerebrovascular Segmentation via Vessel Oriented Filtering Network
Accurate cerebrovascular segmentation from Magnetic Resonance Angiography (MRA) and Computed Tomography Angiography (CTA) is of great significance in diagnosis and treatment of cerebrovascular pathology.
A Flexible Multi-view Multi-modal Imaging System for Outdoor Scenes
The experimental results show that multi-view point clouds greatly improve 3D object detection and tracking accuracy regardless of complex and various outdoor environments.
Fingerprint Matching with Localized Deep Representation
The matching scores produced by LDRF also exhibit intuitive statistical characteristics, which led us to propose a matching score normalization technique to mitigate the uncertainty in the cases of very small overlapping area.
PointVoxel: A Simple and Effective Pipeline for Multi-View Multi-Modal 3D Human Pose Estimation
We fill this gap by introducing a pipeline called PointVoxel that fuses multi-view RGB and pointcloud inputs to obtain 3D human poses.
