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08/21/2023
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
Multi-view 3D detection based on BEV (bird-eye-view) has recently achiev...
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06/08/2023
Channel prior convolutional attention for medical image segmentation
Characteristics such as low contrast and significant organ shape variati...
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03/24/2023
MoWE: Mixture of Weather Experts for Multiple Adverse Weather Removal
Currently, most adverse weather removal tasks are handled independently,...
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12/15/2022
Efficient Visual Computing with Camera RAW Snapshots
Conventional cameras capture image irradiance on a sensor and convert it...
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10/04/2022
Complementary consistency semi-supervised learning for 3D left atrial image segmentation
A network based on complementary consistency training (CC-Net) is propos...
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08/27/2022
Lossy Image Compression with Quantized Hierarchical VAEs
Recent work has shown a strong theoretical connection between variationa...
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07/19/2022
Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation
Morphable models are essential for the statistical modeling of 3D faces....
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04/25/2022
High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation
Questing for lossy image coding (LIC) with superior efficiency on both c...
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01/10/2022
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery
The use of deep learning for water extraction requires precise pixel-lev...
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11/12/2021
Transformer-based Image Compression
A Transformer-based Image Compression (TIC) approach is developed which ...
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08/11/2021
Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion
We propose a compact and effective framework to fuse multimodal features...
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08/05/2021
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation
Recent years have witnessed rapid advances in learnt video coding. Most ...
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04/21/2021
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
This paper reviews the first NTIRE challenge on quality enhancement of c...
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12/01/2020
Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning
Inspired by the facts that retinal cells actually segregate the visual s...
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10/17/2020
LID 2020: The Learning from Imperfect Data Challenge Results
Learning from imperfect data becomes an issue in many industrial applica...
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07/09/2020
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Over the past two decades, traditional block-based video coding has made...
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12/13/2019
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
Traditional video compression technologies have been developed over deca...
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06/03/2019
A Closed-form Solution to Universal Style Transfer
Universal style transfer tries to explicitly minimize the losses in feat...
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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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07/06/2017
RON: Reverse Connection with Objectness Prior Networks for Object Detection
We present RON, an efficient and effective framework for generic object ...
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07/03/2017