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09/10/2023
Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch
Unsupervised contrastive learning methods have recently seen significant...
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05/27/2022
Architecture-Agnostic Masked Image Modeling – From ViT back to CNN
Masked image modeling (MIM), an emerging self-supervised pre-training me...
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02/01/2022
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB
While DeepMind has tentatively solved protein folding, its inverse probl...
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10/19/2021
An Empirical Study: Extensive Deep Temporal Point Process
Temporal point process as the stochastic process on continuous domain of...
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10/04/2021
Git: Clustering Based on Graph of Intensity Topology
Accuracy, Robustness to noises and scales, Interpretability, Speed, and ...
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06/21/2021
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction
Recent years have witnessed great success in handling node classificatio...
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05/16/2021
Self-supervised on Graphs: Contrastive, Generative,or Predictive
Deep learning on graphs has recently achieved remarkable success on a va...
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01/04/2021
Conditional Local Filters with Explainers for Spatio-Temporal Forecasting
Spatio-temporal prediction is challenging attributing to the high nonlin...
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12/28/2020
LookHops: light multi-order convolution and pooling for graph classification
Convolution and pooling are the key operations to learn hierarchical rep...
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09/24/2020
Clustering Based on Graph of Density Topology
Data clustering with uneven distribution in high level noise is challeng...
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09/21/2020
Deep Clustering and Representation Learning that Preserves Geometric Structures
In this paper, we propose a novel framework for Deep Clustering and Repr...
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12/05/2019
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Object detection has been dominated by anchor-based detectors for severa...
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12/05/2019
Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing
Regardless of the usage of deep learning and handcrafted methods, the dy...
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09/25/2019
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild
Pedestrian detection has achieved significant progress with the availabi...
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09/24/2019
Relational Learning for Joint Head and Human Detection
Head and human detection have been rapidly improved with the development...
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09/15/2019
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
Pedestrian detection in crowded scenes is a challenging problem, because...
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09/10/2019
RefineFace: Refinement Neural Network for High Performance Face Detection
Face detection has achieved significant progress in recent years. Howeve...
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08/28/2019
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing
Face anti-spoofing is essential to prevent face recognition systems from...
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07/29/2019
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition
The ChaLearn large-scale gesture recognition challenge has been run twic...
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02/19/2019
WIDER Face and Pedestrian Challenge 2018: Methods and Results
This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
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01/02/2019
Improving Face Anti-Spoofing by 3D Virtual Synthesis
Face anti-spoofing is crucial for the security of face recognition syste...
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12/02/2018
CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-Spoofing
Face anti-spoofing is essential to prevent face recognition systems from...
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09/07/2018
Selective Refinement Network for High Performance Face Detection
High performance face detection remains a very challenging problem, espe...
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07/23/2018
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Pedestrian detection in crowded scenes is a challenging problem since th...
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06/08/2018
Large-scale Bisample Learning on ID vs. Spot Face Recognition
In many face recognition applications, there is large amount of face dat...
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06/04/2018
Face Synthesis for Eyeglass-Robust Face Recognition
In the application of face recognition, eyeglasses could significantly d...
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05/10/2018
Ensemble Soft-Margin Softmax Loss for Image Classification
Softmax loss is arguably one of the most popular losses to train CNN mod...
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04/02/2018
Face Alignment in Full Pose Range: A 3D Total Solution
Face alignment, which fits a face model to an image and extracts the sem...
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11/18/2017
Single-Shot Refinement Neural Network for Object Detection
For object detection, the two-stage approach (e.g., Faster R-CNN) has be...
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07/07/2017
Learning Efficient Image Representation for Person Re-Identification
Color names based image representation is successfully used in person re...
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05/09/2017
Deep Person Re-Identification with Improved Embedding and Efficient Training
Person re-identification task has been greatly boosted by deep convoluti...
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11/21/2016
Multi-Modality Fusion based on Consensus-Voting and 3D Convolution for Isolated Gesture Recognition
Recently, the popularity of depth-sensors such as Kinect has made depth ...
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11/01/2016
Embedding Deep Metric for Person Re-identication A Study Against Large Variations
Person re-identification is challenging due to the large variations of p...
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04/12/2016
CRAFT Objects from Images
Object detection is a fundamental problem in image understanding. One po...
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04/28/2015
Convolutional Channel Features
Deep learning methods are powerful tools but often suffer from expensive...
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04/09/2015
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
Deep learning, in particular Convolutional Neural Network (CNN), has ach...
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11/28/2014
Learning Face Representation from Scratch
Pushing by big data and deep convolutional neural network (CNN), the per...
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08/24/2014
Learn Convolutional Neural Network for Face Anti-Spoofing
Though having achieved some progresses, the hand-crafted texture feature...
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08/06/2014
A Fast and Accurate Unconstrained Face Detector
We propose a method to address challenges in unconstrained face detectio...
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08/05/2014
Open-set Person Re-identification
Person re-identification is becoming a hot research for developing both ...
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07/18/2014
Deep Metric Learning for Practical Person Re-Identification
Various hand-crafted features and metric learning methods prevail in the...
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07/15/2014
Aggregate channel features for multi-view face detection
Face detection has drawn much attention in recent decades since the semi...
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06/17/2014
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning
Person re-identification is an important technique towards automatic sea...
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06/05/2014
Shared Representation Learning for Heterogeneous Face Recognition
After intensive research, heterogenous face recognition is still a chall...
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06/06/2011