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08/19/2023
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection
Early detection of dysplasia of the cervix is critical for cervical canc...
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07/07/2023
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery
Street-view imagery provides us with novel experiences to explore differ...
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05/28/2023
Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality
Stochastic gradient descent with momentum (SGDM) has been widely used in...
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05/18/2023
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose
Domain gap between synthetic and real data in visual regression (6D pose...
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12/30/2022
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent
With the fast development of big data, it has been easier than before to...
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12/21/2022
Online Statistical Inference for Matrix Contextual Bandit
Contextual bandit has been widely used for sequential decision-making ba...
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10/22/2022
Adaptive Data Fusion for Multi-task Non-smooth Optimization
We study the problem of multi-task non-smooth optimization that arises u...
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10/15/2022
Distributed Estimation and Inference for Semi-parametric Binary Response Models
The development of modern technology has enabled data collection of unpr...
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08/08/2022
Fast 3D Sparse Topological Skeleton Graph Generation for Mobile Robot Global Planning
In recent years, mobile robots are becoming ambitious and deployed in la...
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05/07/2022
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation
The challenges of learning a robust 6D pose function lie in 1) severe oc...
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04/06/2022
Exploration with Global Consistency Using Real-Time Re-integration and Active Loop Closure
Despite recent progress of robotic exploration, most methods assume that...
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04/02/2022
Mix-up Self-Supervised Learning for Contrast-agnostic Applications
Contrastive self-supervised learning has attracted significant research ...
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01/10/2022
Neither Fast Nor Slow: How to Fly Through Narrow Tunnels
Nowadays, multirotors are playing important roles in abundant types of m...
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04/30/2021
Unsupervised data augmentation for object detection
Data augmentation has always been an effective way to overcome overfitti...
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03/26/2021
Provably Correct Controller Synthesis of Switched Stochastic Systems with Metric Temporal Logic Specifications: A Case Study on Power Systems
In this paper, we present a provably correct controller synthesis approa...
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03/06/2021
Omni-swarm: An Aerial Swarm System with Decentralized Omni-directional Visual-Inertial-UWB State Estimation
The collaboration of unmanned aerial vehicles (UAVs), also known as aeri...
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02/18/2021
Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling
With the increasing penetration of renewable energy, frequency response ...
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02/05/2021
Online Statistical Inference for Gradient-free Stochastic Optimization
As gradient-free stochastic optimization gains emerging attention for a ...
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12/26/2020
Variance Reduction on Adaptive Stochastic Mirror Descent
We study the idea of variance reduction applied to adaptive stochastic m...
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11/29/2020
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems
Self-healing capability is one of the most critical factors for a resili...
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10/22/2020
FUEL: Fast UAV Exploration using Incremental Frontier Structure and Hierarchical Planning
Autonomous exploration is a fundamental problem for various applications...
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07/27/2020
Deep Active Learning for Solvability Prediction in Power Systems
Traditional methods for solvability region analysis can only have inner ...
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03/30/2020
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
CT scans are promising in providing accurate, fast, and cheap screening ...
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03/11/2020
Decentralized Visual-Inertial-UWB Fusion for Relative State Estimation of Aerial Swarm
The collaboration of unmanned aerial vehicles (UAVs) has become a popula...
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03/07/2020
PathVQA: 30000+ Questions for Medical Visual Question Answering
Is it possible to develop an "AI Pathologist" to pass the board-certifie...
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02/24/2020
HRank: Filter Pruning using High-Rank Feature Map
Neural network pruning offers a promising prospect to facilitate deployi...
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09/28/2019
Training convolutional neural networks with cheap convolutions and online distillation
The large memory and computation consumption in convolutional neural net...
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04/30/2019
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks
Neural coding is one of the central questions in systems neuroscience fo...
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11/28/2018
First-order Newton-type Estimator for Distributed Estimation and Inference
This paper studies distributed estimation and inference for a general st...
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11/06/2018
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks
Deep convolutional neural networks (CNNs) have demonstrated impressive p...
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10/18/2018
Quantile Regression Under Memory Constraint
This paper studies the inference problem in quantile regression (QR) for...
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10/27/2016