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LogME: Practical Assessment of Pre-trained Models for Transfer Learning
This paper studies task adaptive pre-trained model selection, an underex...
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Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning
Edge caching will play a critical role in facilitating the emerging cont...
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A Hybrid Bandit Framework for Diversified Recommendation
The interactive recommender systems involve users in the recommendation ...
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CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth
In this work, we present a lightweight, tightly-coupled deep depth netwo...
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Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation
Multi-organ segmentation is one of most successful applications of deep ...
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Keyword-Guided Neural Conversational Model
We study the problem of imposing conversational goals/keywords on open-d...
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FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion
Depth completion aims to recover a dense depth map from a sparse depth m...
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FlowMOT: 3D Multi-Object Tracking by Scene Flow Association
Most end-to-end Multi-Object Tracking (MOT) methods face the problems of...
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Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain
Magnetic resonance imaging plays an important role in computer-aided dia...
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HILONet: Hierarchical Imitation Learning from Non-Aligned Observations
It is challenging learning from demonstrated observation-only trajectori...
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Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
Multi-agent path finding in formation has many potential real-world appl...
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CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints
Multi-Agent Path Finding has been widely studied in the past few years d...
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APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment
Audio-guided face reenactment aims to generate a photorealistic face tha...
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A Pre-training Strategy for Recommendation
The side information of items has been shown to be effective in building...
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F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking
This paper presents F-Siamese Tracker, a novel approach for single objec...
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Semantic Graph Based Place Recognition for 3D Point Clouds
Due to the difficulty in generating the effective descriptors which are ...
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LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking
Multi-sensor fusion of multi-modal measurements from commodity inertial,...
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DTVNet: Dynamic Time-lapse Video Generation via Single Still Image
This paper presents a novel end-to-end dynamic time-lapse video generati...
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Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
Sensor calibration is the fundamental block for a multi-sensor fusion sy...
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Neural Architecture Optimization with Graph VAE
Due to their high computational efficiency on a continuous space, gradie...
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Kinematics Based Visual Localization for Skid-Steering Robots: Algorithm and Theory
In recent years, the volume of the commercial mobile robot market has be...
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Collision-free Trajectory Planning for Autonomous Surface Vehicle
In this paper, we propose an efficient and accurate method for autonomou...
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Hierarchical and Efficient Learning for Person Re-Identification
Recent works in the person re-identification task mainly focus on the mo...
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APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals
Audio-guided face reenactment aims at generating photorealistic faces us...
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Endowing Empathetic Conversational Models with Personas
Empathetic conversational models have been shown to improve user satisfa...
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Endowing Empathetic Dialogue Systems with Personas
Empathetic dialogue systems have been shown to improve user satisfaction...
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Learning Hierarchical Review Graph Representation for Recommendation
Users' reviews have been demonstrated to be effective in solving differe...
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Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
Graph neural networks (GNN) have recently been applied to exploit knowle...
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Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations
Convolutional Neural Networks (CNNs) are known to be brittle under vario...
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A Learning Framework for n-bit Quantized Neural Networks toward FPGAs
The quantized neural network (QNN) is an efficient approach for network ...
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Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation
Unsupervised learning of optical flow, which leverages the supervision f...
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Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose
Recent works have shown how realistic talking face images can be obtaine...
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Extended Feature Pyramid Network for Small Object Detection
Small object detection remains an unsolved challenge because it is hard ...
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Nearly Optimal Risk Bounds for Kernel K-Means
In this paper, we study the statistical properties of the kernel k-means...
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Risk Analysis of Divide-and-Conquer ERM
Theoretical analysis of the divide-and-conquer based distributed learnin...
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Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS
Theoretical analysis of the divide-and-conquer based distributed learnin...
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Convolutional Spectral Kernel Learning
Recently, non-stationary spectral kernels have drawn much attention, owi...
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Differentially Private ERM Based on Data Perturbation
In this paper, after observing that different training data instances af...
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Input Perturbation: A New Paradigm between Central and Local Differential Privacy
Traditionally, there are two models on differential privacy: the central...
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Optimizing Non-Orthogonal Multiple Access in Random Access Networks
Non-orthogonal multiple access (NOMA) has been considered as a promising...
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AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets
Organs-at-risk (OAR) delineation in computed tomography (CT) is an impor...
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Sub-optimal convergence of discontinuous Galerkin methods with central fluxes for even degree polynomial approximations
In this paper, we theoretically and numerically verify that the disconti...
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Variational Quantum Circuits for Quantum State Tomography
We propose a hybrid quantum-classical algorithm for quantum state tomogr...
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Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints
While visual localization or SLAM has witnessed great progress in past d...
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Weighted Distributed Differential Privacy ERM: Convex and Non-convex
Distributed machine learning is an approach allowing different parties t...
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Automatic Data Augmentation by Learning the Deterministic Policy
Aiming to produce sufficient and diverse training samples, data augmenta...
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Automated Spectral Kernel Learning
The generalization performance of kernel methods is largely determined b...
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Learning Vector-valued Functions with Local Rademacher Complexity
We consider a general family of problems of which the output space admit...
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LIC-Fusion: LiDAR-Inertial-Camera Odometry
This paper presents a tightly-coupled multi-sensor fusion algorithm term...
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From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
A lot of efforts have been devoted to investigating how agents can learn...
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