b'Shan Liu'

research

∙ 08/17/2023

Dynamic Kernel-Based Adaptive Spatial Aggregation for Learned Image Compression

Learned image compression methods have shown superior rate-distortion pe...

0 Huairui Wang, et al. ∙

research

∙ 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...

0 Qi Yang, et al. ∙

research

∙ 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 ...

0 Qi Yang, et al. ∙

research

∙ 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...

0 Qi Yang, et al. ∙

research

∙ 07/20/2023

Layer-wise Representation Fusion for Compositional Generalization

Despite successes across a broad range of applications, sequence-to-sequ...

0 Yafang Zheng, et al. ∙

research

∙ 06/01/2023

Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations

Learned Image Compression (LIC) has recently become the trending techniq...

0 Yang Sui, et al. ∙

research

∙ 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...

0 Lei Lin, et al. ∙

research

∙ 05/16/2023

PanelNet: Understanding 360 Indoor Environment via Panel Representation

Indoor 360 panoramas have two essential properties. (1) The panoramas ar...

0 Haozheng Yu, et al. ∙

research

∙ 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...

0 Min Zhang, et al. ∙

research

∙ 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...

0 Pranav Kadam, et al. ∙

research

∙ 02/22/2023

S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification

Many point cloud classification methods are developed under the assumpti...

0 Pranav Kadam, et al. ∙

research

∙ 10/30/2022

Changes from Classical Statistics to Modern Statistics and Data Science

A coordinate system is a foundation for every quantitative science, engi...

0 Kai Zhang, et al. ∙

research

∙ 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...

0 Ziyu Shan, et al. ∙

research

∙ 10/11/2022

Robust Human Matting via Semantic Guidance

Automatic human matting is highly desired for many real applications. We...

0 Xiangguang Chen, et al. ∙

research

∙ 09/30/2022

Point Cloud Quality Assessment using 3D Saliency Maps

Point cloud quality assessment (PCQA) has become an appealing research f...

5 Zhengyu Wang, et al. ∙

research

∙ 07/18/2022

Learning Knowledge Representation with Meta Knowledge Distillation for Single Image Super-Resolution

Knowledge distillation (KD), which can efficiently transfer knowledge fr...

0 Han Zhu, et al. ∙

research

∙ 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...

0 Zhengang Li, et al. ∙

research

∙ 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...

0 Zhihao Hu, et al. ∙

research

∙ 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 ...

5 Yurui Ren, et al. ∙

research

∙ 02/16/2022

PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation

An unsupervised point cloud object retrieval and pose estimation method,...

0 Pranav Kadam, et al. ∙

research

∙ 02/12/2022

OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression

In point cloud compression, sufficient contexts are significant for mode...

0 Chunyang Fu, et al. ∙

research

∙ 12/08/2021

GPCO: An Unsupervised Green Point Cloud Odometry Method

Visual odometry aims to track the incremental motion of an object using ...

1 Pranav Kadam, et al. ∙

research

∙ 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...

0 Wei Jiang, et al. ∙

research

∙ 09/24/2021

GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds

An efficient solution to semantic segmentation of large-scale indoor sce...

0 Min Zhang, et al. ∙

research

∙ 09/17/2021

PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering

Generating portrait images by controlling the motions of existing faces ...

5 Yurui Ren, et al. ∙

research

∙ 08/04/2021

Combining Attention with Flow for Person Image Synthesis

Pose-guided person image synthesis aims to synthesize person images by t...

0 Yurui Ren, et al. ∙

research

∙ 07/29/2021

Video-based Point Cloud Compression Artifact Removal

Photo-realistic point cloud capture and transmission are the fundamental...

0 Anique Akhtar, et al. ∙

research

∙ 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...

0 Sheng Lin, et al. ∙

research

∙ 05/16/2021

Substitutional Neural Image Compression

We describe Substitutional Neural Image Compression (SNIC), a general ap...

0 Xiao Wang, et al. ∙

research

∙ 03/15/2021

R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method

Inspired by the recent PointHop classification method, an unsupervised 3...

4 Pranav Kadam, et al. ∙

research

∙ 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 ...

0 Yiming Li, et al. ∙

research

∙ 12/25/2020

Study On Coding Tools Beyond Av1

The Alliance for Open Media has recently initiated coding tool explorati...

0 Xin Zhao, et al. ∙

research

∙ 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...

8 Yuanqi Chen, et al. ∙

research

∙ 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...

0 Jiaxin Guo, et al. ∙

research

∙ 11/28/2020

Overview of Screen Content Coding in Recently Developed Video Coding Standards

In recent years, screen content (SC) video including computer generated ...

0 Xiaozhong Xu, et al. ∙

research

∙ 11/02/2020

FeatherTTS: Robust and Efficient attention based Neural TTS

Attention based neural TTS is elegant speech synthesis pipeline and has ...

0 Qiao Tian, et al. ∙

research

∙ 09/02/2020

Unsupervised Point Cloud Registration via Salient Points Analysis (SPA)

An unsupervised point cloud registration method, called salient points a...

0 Pranav Kadam, et al. ∙

research

∙ 09/02/2020

Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation

In contrast to supervised backpropagation-based feature learning in deep...

0 Min Zhang, et al. ∙

research

∙ 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...

35 Yurui Ren, et al. ∙

research

∙ 07/28/2020

Toward Zero-Shot Unsupervised Image-to-Image Translation

Recent studies have shown remarkable success in unsupervised image-to-im...

0 Yuanqi Chen, et al. ∙

research

∙ 07/07/2020

Learning Model-Blind Temporal Denoisers without Ground Truths

Denoisers trained with synthetic data often fail to cope with the divers...

1 Bichuan Guo, et al. ∙

research

∙ 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 ...

0 Zewang Zhang, et al. ∙

research

∙ 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...

0 Qiao Tian, et al. ∙

research

∙ 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...

0 Min Zhang, et al. ∙

research

∙ 11/08/2019

RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection

Generic object detection algorithms have proven their excellent performa...

0 Wei-Hong Lin, et al. ∙

research

∙ 11/04/2019

Video-based compression for plenoptic point clouds

The plenoptic point cloud that has multiple colors from various directio...

0 Li Li, et al. ∙

research

∙ 10/30/2019

C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network

Traditional video quality assessment (VQA) methods evaluate localized pi...

0 Munan Xu, et al. ∙

research

∙ 09/17/2019

Multi-mapping Image-to-Image Translation via Learning Disentanglement

Recent advances of image-to-image translation focus on learning the one-...

23 Xiaoming Yu, et al. ∙

research

∙ 08/11/2019

StructureFlow: Image Inpainting via Structure-aware Appearance Flow

Image inpainting techniques have shown significant improvements by using...

5 Yurui Ren, et al. ∙

research

∙ 07/30/2019

PointHop: An Explainable Machine Learning Method for Point Cloud Classification

An explainable machine learning method for point cloud classification, c...

12 Min Zhang, et al. ∙

Shan Liu

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