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08/03/2022
High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks
Federated edge learning (FEEL) technology for vehicular networks is cons...
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07/25/2021
PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition
Despite the great success achieved by deep learning methods in face reco...
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05/21/2021
An Efficient Training Approach for Very Large Scale Face Recognition
Face recognition has achieved significant progress in deep-learning era ...
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10/12/2020
Large Scale Product Graph Construction for Recommendation in E-commerce
Building a recommendation system that serves billions of users on daily ...
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08/04/2020
Weakly Supervised Construction of ASR Systems with Massive Video Data
Building Automatic Speech Recognition (ASR) systems from scratch is sign...
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07/10/2020
Loss Function Search for Face Recognition
In face recognition, designing margin-based (e.g., angular, additive, ad...
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11/26/2019
Mis-classified Vector Guided Softmax Loss for Face Recognition
Face recognition has witnessed significant progress due to the advances ...
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05/13/2019
A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark
Face parsing, which is to assign a semantic label to each pixel in face ...
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05/09/2019
Grand Challenge of 106-Point Facial Landmark Localization
Facial landmark localization is a very crucial step in numerous face rel...
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04/05/2019
Prediction-Tracking-Segmentation
We introduce a prediction driven method for visual tracking and segmenta...
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01/20/2019
Improved Selective Refinement Network for Face Detection
As a long-standing problem in computer vision, face detection has attrac...
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12/29/2018
Support Vector Guided Softmax Loss for Face Recognition
Face recognition has witnessed significant progresses due to the advance...
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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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10/19/2018
ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch
Current state-of-the-art object objectors are fine-tuned from the off-th...
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08/21/2018
Multi-Source Pointer Network for Product Title Summarization
In this paper, we study the product title summarization problem in E-com...
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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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05/09/2017