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09/15/2023
Cure the headache of Transformers via Collinear Constrained Attention
As the rapid progression of practical applications based on Large Langua...
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07/28/2023
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
Recently, multi-reference entropy model has been proposed, which capture...
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05/19/2023
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection
Machine learning (ML) has revolutionized transportation systems, enablin...
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04/19/2023
SLIC: Self-Conditioned Adaptive Transform with Large-Scale Receptive Fields for Learned Image Compression
Learned image compression has achieved remarkable performance. Transform...
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11/14/2022
Multi-Reference Entropy Model for Learned Image Compression
Recently, learned image compression has achieved remarkable performance....
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10/28/2022
Upwind-SAV approach for constructing bound-preserving and energy-stable schemes of the Cahn-Hilliard equation with degenerate mobility
This paper establishes an unconditionally bound-preserving and energy-st...
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08/18/2022
KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution
KDD CUP 2022 proposes a time-series forecasting task on spatial dynamic ...
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07/08/2022
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate
Recently, high-quality video conferencing with fewer transmission bits h...
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06/22/2022
Facke: a Survey on Generative Models for Face Swapping
In this work, we investigate into the performance of mainstream neural g...
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03/23/2022
NeuMan: Neural Human Radiance Field from a Single Video
Photorealistic rendering and reposing of humans is important for enablin...
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02/08/2021
TransReID: Transformer-based Object Re-Identification
In this paper, we explore the Vision Transformer (ViT), a pure transform...
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06/19/2019
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
This study explores a simple but strong baseline for person re-identific...
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03/17/2019
Bags of Tricks and A Strong Baseline for Deep Person Re-identification
This paper explores a simple and efficient baseline for person re-identi...
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02/07/2018
