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09/14/2023
OmnimatteRF: Robust Omnimatte with 3D Background Modeling
Video matting has broad applications, from adding interesting effects to...
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08/31/2023
Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception
Vehicle-to-everything (V2X) autonomous driving opens up a promising dire...
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08/28/2023
Alleviating Video-Length Effect for Micro-video Recommendation
Micro-videos platforms such as TikTok are extremely popular nowadays. On...
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08/23/2023
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models
Membership Inference Attack (MIA) identifies whether a record exists in ...
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08/07/2023
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation
Graph Neural Network (GNN)-based models have become the mainstream appro...
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07/31/2023
NEON: Living Needs Prediction System in Meituan
Living needs refer to the various needs in human's daily lives for survi...
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07/19/2023
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network
Understanding and characterizing the vulnerability of urban infrastructu...
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07/12/2023
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering
Automated Machine Learning (AutoML) techniques have recently been introd...
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03/24/2023
Progressively Optimized Local Radiance Fields for Robust View Synthesis
We present an algorithm for reconstructing the radiance field of a large...
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03/15/2023
Robust Preference-Guided Denoising for Graph based Social Recommendation
Graph Neural Network(GNN) based social recommendation models improve the...
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01/05/2023
Robust Dynamic Radiance Fields
Dynamic radiance field reconstruction methods aim to model the time-vary...
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09/18/2022
Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives
With the outbreak of today's streaming data, sequential recommendation i...
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08/26/2022
Causal Inference in Recommender Systems: A Survey and Future Directions
Existing recommender systems extract the user preference based on learni...
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08/14/2022
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction
Spatiotemporal activity prediction, aiming to predict user activities at...
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08/10/2022
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias
Recommender systems are prone to be misled by biases in the data. Models...
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08/08/2022
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design
Recommender systems are playing an increasingly important role in allevi...
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08/03/2022
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation
Multi-types of behaviors (e.g., clicking, adding to cart, purchasing, et...
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07/19/2022
Target-Driven Structured Transformer Planner for Vision-Language Navigation
Vision-language navigation is the task of directing an embodied agent to...
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05/26/2022
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
Multi-behavior recommendation exploits multiple types of user-item inter...
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04/20/2022
Reinforced Structured State-Evolution for Vision-Language Navigation
Vision-and-language Navigation (VLN) task requires an embodied agent to ...
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04/13/2022
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection
3D visual grounding aims to locate the referred target object in 3D poin...
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03/04/2022
Weighted Simultaneous Algebra Reconstruction Technique (wSART) for Additive Light Field Synthesis
We apply an iterative weighting scheme for additive light field synthesi...
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02/21/2022
Remaining Useful Life Prediction Using Temporal Deep Degradation Network for Complex Machinery with Attention-based Feature Extraction
The precise estimate of remaining useful life (RUL) is vital for the pro...
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11/13/2021
Session-aware Item-combination Recommendation with Transformer Network
In this paper, we detailedly describe our solution for the IEEE BigData ...
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11/05/2021
Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks
Incorporating social relations into the recommendation system, i.e. soci...
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11/01/2021
Improving Location Recommendation with Urban Knowledge Graph
Location recommendation is defined as to recommend locations (POIs) to u...
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09/27/2021
Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
Recommender system is one of the most important information services on ...
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08/16/2021
DGCN: Diversified Recommendation with Graph Convolutional Networks
These years much effort has been devoted to improving the accuracy or re...
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08/11/2021
Mining the Benefits of Two-stage and One-stage HOI Detection
Two-stage methods have dominated Human-Object Interaction (HOI) detectio...
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06/14/2021
Efficient Data-specific Model Search for Collaborative Filtering
Collaborative filtering (CF), as a fundamental approach for recommender ...
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05/26/2021
PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal
In this paper, we address the makeup transfer and removal tasks simultan...
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05/13/2021
Dynamic View Synthesis from Dynamic Monocular Video
We present an algorithm for generating novel views at arbitrary viewpoin...
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01/19/2021
Learnable Embedding Sizes for Recommender Systems
The embedding-based representation learning is commonly used in deep lea...
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10/14/2020
Group-Buying Recommendation for Social E-Commerce
Group buying, as an emerging form of purchase in social e-commerce websi...
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09/03/2020
Flow-edge Guided Video Completion
We present a new flow-based video completion algorithm. Previous flow co...
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08/26/2020
DRG: Dual Relation Graph for Human-Object Interaction Detection
We tackle the challenging problem of human-object interaction (HOI) dete...
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08/26/2020
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
Recent work has shown that the structure of deep convolutional neural ne...
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06/02/2020
Recapture as You Want
With the increasing prevalence and more powerful camera systems of mobil...
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05/07/2020
Bundle Recommendation with Graph Convolutional Networks
Bundle recommendation aims to recommend a bundle of items for a user to ...
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03/09/2020
Price-aware Recommendation with Graph Convolutional Networks
In recent years, much research effort on recommendation has been devoted...
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12/11/2019
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Human activities often occur in specific scene contexts, e.g., playing b...
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12/04/2019
AdversarialNAS: Adversarial Neural Architecture Search for GANs
Neural Architecture Search (NAS) that aims to automate the procedure of ...
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09/16/2019
PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer
We propose a novel Pose-robust Spatial-aware GAN (PSGAN) for transferrin...
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07/26/2019
UGAN: Untraceable GAN for Multi-Domain Face Translation
The multi-domain image-to-image translation is received increasing atten...
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05/28/2019
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels
Recommendation models mainly deal with categorical variables, such as us...
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09/21/2018
Neural Multi-Task Recommendation from Multi-Behavior Data
Most existing recommender systems leverage user behavior data of one typ...
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09/21/2018
Learning Recommender Systems from Multi-Behavior Data
Most existing recommender systems leverage the data of one type of user ...
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09/05/2018
Recommender Systems with Characterized Social Regularization
Social recommendation, which utilizes social relations to enhance recomm...
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08/30/2018
iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection
Recent years have witnessed rapid progress in detecting and recognizing ...
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12/18/2017
