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08/17/2023
Dynamic Kernel-Based Adaptive Spatial Aggregation for Learned Image Compression
Learned image compression methods have shown superior rate-distortion pe...
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08/09/2023
GeodesicPSIM: Predicting the Quality of Static Mesh with Texture Map via Geodesic Patch Similarity
Static meshes with texture maps have attracted considerable attention in...
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08/03/2023
TSMD: A Database for Static Color Mesh Quality Assessment Study
Static meshes with texture map are widely used in modern industrial and ...
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08/03/2023
TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality Explorations
Dynamic colored meshes (DCM) are widely used in various applications; ho...
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07/20/2023
Layer-wise Representation Fusion for Compositional Generalization
Despite successes across a broad range of applications, sequence-to-sequ...
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06/01/2023
Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations
Learned Image Compression (LIC) has recently become the trending techniq...
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05/20/2023
Learn to Compose Syntactic and Semantic Representations Appropriately for Compositional Generalization
Recent studies have shown that sequence-to-sequence (Seq2Seq) models are...
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05/16/2023
PanelNet: Understanding 360 Indoor Environment via Panel Representation
Indoor 360 panoramas have two essential properties. (1) The panoramas ar...
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03/20/2023
A Tiny Machine Learning Model for Point Cloud Object Classification
The design of a tiny machine learning model, which can be deployed in mo...
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02/27/2023
PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds
An efficient 3D scene flow estimation method called PointFlowHop is prop...
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02/22/2023
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification
Many point cloud classification methods are developed under the assumpti...
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10/30/2022
Changes from Classical Statistics to Modern Statistics and Data Science
A coordinate system is a foundation for every quantitative science, engi...
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10/29/2022
GPA-Net:No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network
With the rapid development of 3D vision, point cloud has become an incre...
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10/11/2022
Robust Human Matting via Semantic Guidance
Automatic human matting is highly desired for many real applications. We...
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09/30/2022
Point Cloud Quality Assessment using 3D Saliency Maps
Point cloud quality assessment (PCQA) has become an appealing research f...
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07/18/2022
Learning Knowledge Representation with Meta Knowledge Distillation for Single Image Super-Resolution
Knowledge distillation (KD), which can efficiently transfer knowledge fr...
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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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06/15/2022
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction
The previous deep video compression approaches only use the single scale...
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04/13/2022
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis
We deal with the controllable person image synthesis task which aims to ...
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02/16/2022
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation
An unsupervised point cloud object retrieval and pose estimation method,...
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02/12/2022
OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression
In point cloud compression, sufficient contexts are significant for mode...
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12/08/2021
GPCO: An Unsupervised Green Point Cloud Odometry Method
Visual odometry aims to track the incremental motion of an object using ...
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11/16/2021
Online Meta Adaptation for Variable-Rate Learned Image Compression
This work addresses two major issues of end-to-end learned image compres...
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09/24/2021
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds
An efficient solution to semantic segmentation of large-scale indoor sce...
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09/17/2021
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering
Generating portrait images by controlling the motions of existing faces ...
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08/04/2021
Combining Attention with Flow for Person Image Synthesis
Pose-guided person image synthesis aims to synthesize person images by t...
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07/29/2021
Video-based Point Cloud Compression Artifact Removal
Photo-realistic point cloud capture and transmission are the fundamental...
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06/15/2021
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression
Compressing Deep Neural Network (DNN) models to alleviate the storage an...
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05/16/2021
Substitutional Neural Image Compression
We describe Substitutional Neural Image Compression (SNIC), a general ap...
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03/15/2021
R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method
Inspired by the recent PointHop classification method, an unsupervised 3...
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03/05/2021
An Optimized H.266/VVC Software Decoder On Mobile Platform
As the successor of H.265/HEVC, the new versatile video coding standard ...
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12/25/2020
Study On Coding Tools Beyond Av1
The Alliance for Open Media has recently initiated coding tool explorati...
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12/10/2020
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
This paper observes that there is an issue of high frequencies missing i...
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12/01/2020
Fast and Robust Bin-picking System for Densely Piled Industrial Objects
Objects grasping, also known as the bin-picking, is one of the most comm...
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11/28/2020
Overview of Screen Content Coding in Recently Developed Video Coding Standards
In recent years, screen content (SC) video including computer generated ...
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11/02/2020
FeatherTTS: Robust and Efficient attention based Neural TTS
Attention based neural TTS is elegant speech synthesis pipeline and has ...
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09/02/2020
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA)
An unsupervised point cloud registration method, called salient points a...
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09/02/2020
Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation
In contrast to supervised backpropagation-based feature learning in deep...
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08/27/2020
Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation
Pose-guided person image generation and animation aim to transform a sou...
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07/28/2020
Toward Zero-Shot Unsupervised Image-to-Image Translation
Recent studies have shown remarkable success in unsupervised image-to-im...
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07/07/2020
Learning Model-Blind Temporal Denoisers without Ground Truths
Denoisers trained with synthetic data often fail to cope with the divers...
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05/12/2020
AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN
This paper investigates how to leverage a DurIAN-based average model to ...
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05/12/2020
FeatherWave: An efficient high-fidelity neural vocoder with multi-band linear prediction
In this paper, we propose the FeatherWave, yet another variant of WaveRN...
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02/09/2020
PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
The PointHop method was recently proposed by Zhang et al. for 3D point c...
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11/08/2019
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
Generic object detection algorithms have proven their excellent performa...
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11/04/2019
Video-based compression for plenoptic point clouds
The plenoptic point cloud that has multiple colors from various directio...
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10/30/2019
C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network
Traditional video quality assessment (VQA) methods evaluate localized pi...
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09/17/2019
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Recent advances of image-to-image translation focus on learning the one-...
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08/11/2019
StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Image inpainting techniques have shown significant improvements by using...
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07/30/2019