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08/17/2023
Fine-grained Text and Image Guided Point Cloud Completion with CLIP Model
This paper focuses on the recently popular task of point cloud completio...
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05/23/2023
CPNet: Exploiting CLIP-based Attention Condenser and Probability Map Guidance for High-fidelity Talking Face Generation
Recently, talking face generation has drawn ever-increasing attention fr...
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03/23/2023
FER-former: Multi-modal Transformer for Facial Expression Recognition
The ever-increasing demands for intuitive interactions in Virtual Realit...
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02/10/2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
The class-agnostic counting (CAC) problem has caught increasing attentio...
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12/07/2022
MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting
Recently, machine learning methods have shown the prospects of stock tre...
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11/14/2022
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity
Federated Learning (FL) is a new decentralized learning used for trainin...
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03/15/2022
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP
Existing state-of-the-art crowd counting algorithms rely excessively on ...
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10/14/2021
Towards Using Clothes Style Transfer for Scenario-aware Person Video Generation
Clothes style transfer for person video generation is a challenging task...
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05/19/2021
Local Aggressive Adversarial Attacks on 3D Point Cloud
Deep neural networks are found to be prone to adversarial examples which...
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04/21/2021
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting
With the burst development of neural networks in recent years, the task ...
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03/30/2021
Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching
This paper presents an effective normal estimation method adopting multi...
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12/18/2020
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting
Crowd counting remains a challenging task because the presence of drasti...
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05/25/2020
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting
Crowd counting is an important vision task, which faces challenges on co...
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10/02/2018
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets
Recently, Convolution Neural Networks (CNNs) obtained huge success in nu...
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10/02/2018
