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06/18/2023
Learn to Enhance the Negative Information in Convolutional Neural Network
This paper proposes a learnable nonlinear activation mechanism specifica...
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06/10/2023
FalconNet: Factorization for the Light-weight ConvNets
Designing light-weight CNN models with little parameters and Flops is a ...
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06/23/2022
Explore Spatio-temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline
We endeavor on a rarely explored task named Insubstantial Object Detecti...
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04/01/2021
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition
Due to the subjective annotation and the inherent interclass similarity ...
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12/18/2020
Hyperspectral Image Semantic Segmentation in Cityscapes
High-resolution hyperspectral images (HSIs) contain the response of each...
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03/31/2020
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
In this paper, we present a large-scale detailed 3D face dataset, FaceSc...
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09/26/2019
Learned Point Cloud Geometry Compression
This paper presents a novel end-to-end Learned Point Cloud Geometry Comp...
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05/03/2019
Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications
Networked video applications, e.g., video conferencing, often suffer fro...
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04/22/2019
Non-local Attention Optimized Deep Image Compression
This paper proposes a novel Non-Local Attention Optimized Deep Image Com...
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04/08/2019
Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization
We propose a MultiScale AutoEncoder(MSAE) based extreme image compressio...
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06/05/2018
Deep Image Compression via End-to-End Learning
We present a lossy image compression method based on deep convolutional ...
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02/25/2018
Perceptual Quality Assessment of Immersive Images Considering Peripheral Vision Impact
Conventional images/videos are often rendered within the central vision ...
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02/16/2018
