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08/08/2023
Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On
Fabricating and designing 3D garments has become extremely demanding wit...
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05/21/2023
PanoContext-Former: Panoramic Total Scene Understanding with a Transformer
Panoramic image enables deeper understanding and more holistic perceptio...
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04/11/2023
One-Shot High-Fidelity Talking-Head Synthesis with Deformable Neural Radiance Field
Talking head generation aims to generate faces that maintain the identit...
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04/10/2023
Evaluate Geometry of Radiance Field with Low-frequency Color Prior
Radiance field is an effective representation of 3D scenes, which has be...
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02/17/2023
Multi-Behavior Graph Neural Networks for Recommender System
Recommender systems have been demonstrated to be effective to meet user'...
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12/09/2022
4K-NeRF: High Fidelity Neural Radiance Fields at Ultra High Resolutions
In this paper, we present a novel and effective framework, named 4K-NeRF...
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11/29/2022
Compressing Volumetric Radiance Fields to 1 MB
Approximating radiance fields with volumetric grids is one of promising ...
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04/02/2022
A-ACT: Action Anticipation through Cycle Transformations
While action anticipation has garnered a lot of research interest recent...
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01/26/2022
An Efficient and Robust System for Vertically Federated Random Forest
As there is a growing interest in utilizing data across multiple resourc...
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01/07/2022
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction
Crime prediction is crucial for public safety and resource optimization,...
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01/07/2022
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling
Many previous studies aim to augment collaborative filtering with deep n...
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10/08/2021
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Accurate forecasting of citywide traffic flow has been playing critical ...
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10/08/2021
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
Capturing users' precise preferences is of great importance in various r...
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10/08/2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Accurate user and item embedding learning is crucial for modern recommen...
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10/08/2021
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation
Session-based recommendation plays a central role in a wide spectrum of ...
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10/08/2021
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
Social recommendation task aims to predict users' preferences over items...
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10/08/2021
Graph Meta Network for Multi-Behavior Recommendation
Modern recommender systems often embed users and items into low-dimensio...
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10/08/2021
Social Recommendation with Self-Supervised Metagraph Informax Network
In recent years, researchers attempt to utilize online social informatio...
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09/26/2021
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization
Vertical federated learning (VFL) is an effective paradigm of training t...
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08/25/2021
Memory-Augmented Non-Local Attention for Video Super-Resolution
In this paper, we propose a novel video super-resolution method that aim...
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07/08/2021
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
In this paper, we present Fedlearn-Algo, an open-source privacy preservi...
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05/06/2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
To promote the developments of object detection, tracking and counting a...
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03/04/2021
Data Augmentation for Object Detection via Differentiable Neural Rendering
It is challenging to train a robust object detector when annotated data ...
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01/04/2021
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
We investigate large-scale latent variable models (LVMs) for neural stor...
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01/04/2021
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events
Large-scale pretrained language models have shown thrilling generation c...
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05/27/2020
Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering
Pig counting is a crucial task for large-scale pig farming, which is usu...
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12/23/2019
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
Fraud detection is extremely critical for e-commerce business. It is the...
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12/04/2019
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
This paper proposes a space-time multi-scale attention network (STANet) ...
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11/19/2019
Heterogeneous Deep Graph Infomax
Graph representation learning is to learn universal node representations...
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04/16/2019
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
Heatmap regression has became one of the mainstream approaches to locali...
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04/04/2019
Spatiotemporal CNN for Video Object Segmentation
In this paper, we present a unified, end-to-end trainable spatiotemporal...
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10/19/2018
