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09/15/2023
Unsupervised Disentangling of Facial Representations with 3D-aware Latent Diffusion Models
Unsupervised learning of facial representations has gained increasing at...
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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 ...
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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...
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07/31/2023
Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation
The video frame interpolation (VFI) model applies the convolution operat...
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07/03/2023
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation
Diffusion models have demonstrated excellent performance in image genera...
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06/19/2023
Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions
Recent neural talking radiance field methods have shown great success in...
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05/24/2023
Learning Survival Distribution with Implicit Survival Function
Survival analysis aims at modeling the relationship between covariates a...
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05/04/2023
Multi-Modality Deep Network for JPEG Artifacts Reduction
In recent years, many convolutional neural network-based models are desi...
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04/26/2023
Multi-Modality Deep Network for Extreme Learned Image Compression
Image-based single-modality compression learning approaches have demonst...
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04/02/2023
Graph Mining for Cybersecurity: A Survey
The explosive growth of cyber attacks nowadays, such as malware, spam, a...
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04/02/2023
Abnormal Event Detection via Hypergraph Contrastive Learning
Abnormal event detection, which refers to mining unusual interactions am...
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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...
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09/28/2022
Strong Instance Segmentation Pipeline for MMSports Challenge
The goal of ACM MMSports2022 DeepSportRadar Instance Segmentation Challe...
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07/18/2022
Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution
Recent multi-view multimedia applications struggle between high-resoluti...
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07/15/2022
Learning Parallax Transformer Network for Stereo Image JPEG Artifacts Removal
Under stereo settings, the performance of image JPEG artifacts removal c...
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07/14/2022
Perception-Oriented Stereo Image Super-Resolution
Recent studies of deep learning based stereo image super-resolution (Ste...
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07/14/2022
Rethinking Super-Resolution as Text-Guided Details Generation
Deep neural networks have greatly promoted the performance of single ima...
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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...
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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...
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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...
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12/02/2021
The Second Place Solution for ICCV2021 VIPriors Instance Segmentation Challenge
The Visual Inductive Priors(VIPriors) for Data-Efficient Computer Vision...
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12/02/2021
Stronger Baseline for Person Re-Identification
Person re-identification (re-ID) aims to identify the same person of int...
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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 ...
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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...
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11/07/2021
A Review of Location Encoding for GeoAI: Methods and Applications
A common need for artificial intelligence models in the broader geoscien...
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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...
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07/08/2021
Feature Pyramid Network for Multi-task Affective Analysis
Affective Analysis is not a single task, and the valence-arousal value, ...
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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 ...
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12/04/2020
Generator Pyramid for High-Resolution Image Inpainting
Inpainting high-resolution images with large holes challenges existing d...
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06/16/2020
Isometric Graph Neural Networks
Many tasks that rely on representations of nodes in graphs would benefit...
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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 ...
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02/16/2020
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
Unsupervised text encoding models have recently fueled substantial progr...
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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...
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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...
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09/28/2019
Frame and Feature-Context Video Super-Resolution
For video super-resolution, current state-of-the-art approaches either p...
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05/09/2019
Cycle-IR: Deep Cyclic Image Retargeting
Supervised deep learning techniques have achieved great success in vario...
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05/02/2018