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08/24/2023
DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition
Graph Convolutional Networks (GCNs) have been widely used in skeleton-ba...
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07/22/2023
Intelligent Remote Sensing Image Quality Inspection System
Quality inspection is a necessary task before putting any remote sensing...
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02/16/2023
New √(n)-consistent, numerically stable higher-order influence function estimators
Higher-Order Influence Functions (HOIFs) provide a unified theory for co...
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11/25/2022
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Text-guided diffusion models have shown superior performance in image/vi...
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04/15/2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Graph neural networks have emerged as a leading architecture for many gr...
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03/16/2022
Coverage Optimization of Camera Network for Continuous Deformable Object
In this paper, a deformable object is considered for cameras deployment ...
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12/08/2021
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey
Electroencephalogram (EEG) decoding aims to identify the perceptual, sem...
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10/12/2021
Optimizing Ranking Systems Online as Bandits
Ranking system is the core part of modern retrieval and recommender syst...
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08/11/2021
Elastic Tactile Simulation Towards Tactile-Visual Perception
Tactile sensing plays an important role in robotic perception and manipu...
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05/11/2021
Federated Unbiased Learning to Rank
Unbiased Learning to Rank (ULTR) studies the problem of learning a ranki...
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04/25/2021
A Novel Unified Stereo Stimuli based Binocular Eye-Tracking System for Accurate 3D Gaze Estimation
In addition to the high cost and complex setup, the main reason for the ...
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01/19/2021
Human Action Recognition Based on Multi-scale Feature Maps from Depth Video Sequences
Human action recognition is an active research area in computer vision. ...
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10/13/2020
Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions
With the growing utility of today's conversational virtual assistants, t...
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12/01/2019
A Contextual-Bandit Approach to Online Learning to Rank for Relevance and Diversity
Online learning to rank (LTR) focuses on learning a policy from user int...
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05/29/2019
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model
Non-stationarity appears in many online applications such as web search ...
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12/12/2018
Online Learning to Rank with List-level Feedback for Image Filtering
Online learning to rank (OLTR) via implicit feedback has been extensivel...
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12/11/2018
Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation
Online ranker evaluation is one of the key challenges in information ret...
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09/22/2018
A Unified Framework for the Tractable Analysis of Multi-Antenna Wireless Networks
Densifying networks and deploying more antennas at each access point are...
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06/18/2018
Incremental Sparse Bayesian Ordinal Regression
Ordinal Regression (OR) aims to model the ordering information between d...
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06/15/2018
BubbleRank: Safe Online Learning to Rerank
We study the problem of online learning to re-rank, where users provide ...
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09/18/2016