b'Bo Yan'

research

∙ 09/15/2023

Unsupervised Disentangling of Facial Representations with 3D-aware Latent Diffusion Models

Unsupervised learning of facial representations has gained increasing at...

0 Ruian He, et al. ∙

research

∙ 08/03/2023

MVFlow: Deep Optical Flow Estimation of Compressed Videos with Motion Vector Prior

In recent years, many deep learning-based methods have been proposed to ...

0 Shili Zhou, et al. ∙

research

∙ 07/31/2023

SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model

Optical flow estimation aims to find the 2D dense motion field between t...

0 Shili Zhou, et al. ∙

research

∙ 07/31/2023

Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation

The video frame interpolation (VFI) model applies the convolution operat...

0 Ri Cheng, et al. ∙

research

∙ 07/03/2023

DifFSS: Diffusion Model for Few-Shot Semantic Segmentation

Diffusion models have demonstrated excellent performance in image genera...

0 Weimin Tan, et al. ∙

research

∙ 06/19/2023

Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions

Recent neural talking radiance field methods have shown great success in...

0 Yuqi Sun, et al. ∙

research

∙ 05/24/2023

Learning Survival Distribution with Implicit Survival Function

Survival analysis aims at modeling the relationship between covariates a...

0 Yu Ling, et al. ∙

research

∙ 05/04/2023

Multi-Modality Deep Network for JPEG Artifacts Reduction

In recent years, many convolutional neural network-based models are desi...

0 Xuhao Jiang, et al. ∙

research

∙ 04/26/2023

Multi-Modality Deep Network for Extreme Learned Image Compression

Image-based single-modality compression learning approaches have demonst...

0 Xuhao Jiang, et al. ∙

research

∙ 04/02/2023

Graph Mining for Cybersecurity: A Survey

The explosive growth of cyber attacks nowadays, such as malware, spam, a...

0 Bo Yan, et al. ∙

research

∙ 04/02/2023

Abnormal Event Detection via Hypergraph Contrastive Learning

Abnormal event detection, which refers to mining unusual interactions am...

0 Bo Yan, et al. ∙

research

∙ 11/21/2022

Task-Specific Data Augmentation and Inference Processing for VIPriors Instance Segmentation Challenge

Instance segmentation is applied widely in image editing, image analysis...

0 Bo Yan, et al. ∙

research

∙ 09/28/2022

Strong Instance Segmentation Pipeline for MMSports Challenge

The goal of ACM MMSports2022 DeepSportRadar Instance Segmentation Challe...

0 Bo Yan, et al. ∙

research

∙ 07/18/2022

Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution

Recent multi-view multimedia applications struggle between high-resoluti...

0 Ri Cheng, et al. ∙

research

∙ 07/15/2022

Learning Parallax Transformer Network for Stereo Image JPEG Artifacts Removal

Under stereo settings, the performance of image JPEG artifacts removal c...

0 Xuhao Jiang, et al. ∙

research

∙ 07/14/2022

Perception-Oriented Stereo Image Super-Resolution

Recent studies of deep learning based stereo image super-resolution (Ste...

5 Chenxi Ma, et al. ∙

research

∙ 07/14/2022

Rethinking Super-Resolution as Text-Guided Details Generation

Deep neural networks have greatly promoted the performance of single ima...

0 Chenxi Ma, et al. ∙

research

∙ 06/28/2022

The Third Place Solution for CVPR2022 AVA Accessibility Vision and Autonomy Challenge

The goal of AVA challenge is to provide vision-based benchmarks and meth...

0 Bo Yan, et al. ∙

research

∙ 06/24/2022

Bilateral Network with Channel Splitting Network and Transformer for Thermal Image Super-Resolution

In recent years, the Thermal Image Super-Resolution (TISR) problem has b...

0 Bo Yan, et al. ∙

research

∙ 06/24/2022

The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge–Track 3: Referring Video Object Segmentation

The referring video object segmentation task (RVOS) aims to segment obje...

0 Leilei Cao, et al. ∙

research

∙ 12/02/2021

The Second Place Solution for ICCV2021 VIPriors Instance Segmentation Challenge

The Visual Inductive Priors(VIPriors) for Data-Efficient Computer Vision...

0 Bo Yan, et al. ∙

research

∙ 12/02/2021

Stronger Baseline for Person Re-Identification

Person re-identification (re-ID) aims to identify the same person of int...

0 Fengliang Qi, et al. ∙

research

∙ 12/02/2021

TBN-ViT: Temporal Bilateral Network with Vision Transformer for Video Scene Parsing

Video scene parsing in the wild with diverse scenarios is a challenging ...

0 Bo Yan, et al. ∙

research

∙ 11/12/2021

Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes

Almost all statements in knowledge bases have a temporal scope during wh...

0 Ling Cai, et al. ∙

research

∙ 11/07/2021

A Review of Location Encoding for GeoAI: Methods and Applications

A common need for artificial intelligence models in the broader geoscien...

0 Gengchen Mai, et al. ∙

research

∙ 10/27/2021

GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series

Traffic forecasting is an integral part of intelligent transportation sy...

0 Sikai Zhang, et al. ∙

research

∙ 07/08/2021

Feature Pyramid Network for Multi-task Affective Analysis

Affective Analysis is not a single task, and the valence-arousal value, ...

0 Ruian He, et al. ∙

research

∙ 05/20/2021

DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry

The technology for Visual Odometry (VO) that estimates the position and ...

0 Ran Zhu, et al. ∙

research

∙ 12/04/2020

Generator Pyramid for High-Resolution Image Inpainting

Inpainting high-resolution images with large holes challenges existing d...

0 Leilei Cao, et al. ∙

research

∙ 06/16/2020

Isometric Graph Neural Networks

Many tasks that rely on representations of nodes in graphs would benefit...

0 Matthew Walker, et al. ∙

research

∙ 04/25/2020

SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting

Learning knowledge graph (KG) embeddings is an emerging technique for a ...

7 Gengchen Mai, et al. ∙

research

∙ 02/16/2020

Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Unsupervised text encoding models have recently fueled substantial progr...

0 Gengchen Mai, et al. ∙

research

∙ 10/01/2019

TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction

Link prediction is an important and frequently studied task that contrib...

0 Ling Cai, et al. ∙

research

∙ 09/30/2019

Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs

Recently, several studies have explored methods for using KG embedding t...

0 Gengchen Mai, et al. ∙

research

∙ 09/28/2019

Frame and Feature-Context Video Super-Resolution

For video super-resolution, current state-of-the-art approaches either p...

32 Bo Yan, et al. ∙

research

∙ 05/09/2019

Cycle-IR: Deep Cyclic Image Retargeting

Supervised deep learning techniques have achieved great success in vario...

16 Weimin Tan, et al. ∙

research

∙ 05/02/2018

From the Periphery to the Center: Information Brokerage in an Evolving Network

Interpersonal ties are pivotal to individual efficacy, status and perfor...

0 Bo Yan, et al. ∙

Bo Yan

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