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06/06/2023
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning
Gait recognition aims at identifying the pedestrians at a long distance ...
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06/06/2023
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition
Gait recognition, which aims at identifying individuals by their walking...
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06/06/2023
GaitGCI: Generative Counterfactual Intervention for Gait Recognition
Gait is one of the most promising biometrics that aims to identify pedes...
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02/28/2023
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Medical anomalous data normally contains fine-grained instance-wise addi...
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06/15/2022
Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification
Modern methods mainly regard lane detection as a problem of pixel-wise s...
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07/13/2021
Multitask Identity-Aware Image Steganography via Minimax Optimization
High-capacity image steganography, aimed at concealing a secret image in...
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05/30/2021
VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation
Gait recognition has a rapid development in recent years. However, gait ...
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01/05/2021
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios
With the motivation of practical gait recognition applications, we propo...
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12/22/2020
FcaNet: Frequency Channel Attention Networks
Attention mechanism, especially channel attention, has gained great succ...
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08/26/2020
DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed Radiographs
Automated infection measurement and COVID-19 diagnosis based on Chest X-...
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05/01/2020
ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation
We propose adversarial constrained-CNN loss, a new paradigm of constrain...
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08/01/2019
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
The success of deep learning has been witnessed as a promising technique...
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07/25/2019
