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F3SNet: A Four-Step Strategy for QIM Steganalysis of Compressed Speech Based on Hierarchical Attention Network
Traditional machine learning-based steganalysis methods on compressed sp...
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Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing
Due to the common belief that training deep transformers from scratch re...
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Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search
Hero drafting is essential in MOBA game playing as it builds the team of...
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RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Keypoints for Indoor Localization
Image keypoint extraction is an important step for visual localization. ...
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Towards Playing Full MOBA Games with Deep Reinforcement Learning
MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose gr...
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Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
We present JueWu-SL, the first supervised-learning-based artificial inte...
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Reactive Human-to-Robot Handovers of Arbitrary Objects
Human-robot object handovers have been an actively studied area of robot...
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DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features
A robust and efficient Simultaneous Localization and Mapping (SLAM) syst...
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Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
Current multi-object tracking and segmentation (MOTS) methods follow the...
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PointTrack++ for Effective Online Multi-Object Tracking and Segmentation
Multiple-object tracking and segmentation (MOTS) is a novel computer vis...
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Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation
Deformation field estimation is an important and challenging issue in ma...
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Human Grasp Classification for Reactive Human-to-Robot Handovers
Transfer of objects between humans and robots is a critical capability f...
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ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
3D object detection is an essential task in autonomous driving and robot...
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Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models
There has been a long recognition that discrete features (n-gram feature...
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Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents
Techniques for automatically extracting important content elements from ...
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Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM
Service robots should be able to operate autonomously in dynamic and dai...
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Multi-Stage Document Ranking with BERT
The advent of deep neural networks pre-trained via language modeling tas...
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Massive Access for Future Wireless Communication Systems
Multiple access technology plays an important role in wireless communica...
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Trajectory Optimization for Coordinated Human-Robot Collaboration
Effective human-robot collaboration requires informed anticipation. The ...
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DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System
Teleoperation offers the possibility of imparting robotic systems with s...
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Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability
Voting plays a central role in bringing crowd wisdom to collective decis...
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Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models
Is neural IR mostly hype? In a recent SIGIR Forum article, Lin expressed...
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Document Expansion by Query Prediction
One technique to improve the retrieval effectiveness of a search engine ...
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Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering
Recently, a simple combination of passage retrieval using off-the-shelf ...
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Simple Applications of BERT for Ad Hoc Document Retrieval
Following recent successes in applying BERT to question answering, we ex...
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Building Secure SRAM PUF Key Generators on Resource Constrained Devices
A securely maintained key is the premise upon which data stored and tran...
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End-to-End Open-Domain Question Answering with BERTserini
We demonstrate an end-to-end question answering system that integrates B...
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A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
Learning word embeddings has received a significant amount of attention ...
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Hierarchical Macro Strategy Model for MOBA Game AI
The next challenge of game AI lies in Real Time Strategy (RTS) games. RT...
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Attention-based Walking Gait and Direction Recognition in Wi-Fi Networks
The study of human gait recognition has been becoming an active research...
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Sequenced-Replacement Sampling for Deep Learning
We propose sequenced-replacement sampling (SRS) for training deep neural...
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Visual Semantic Navigation using Scene Priors
How do humans navigate to target objects in novel scenes? Do we use the ...
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MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks
Despite being popularly used in many application domains such as image r...
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On the Fundamental Limits of MIMO Massive Multiple Access Channels
In this paper, we study multiple-antenna wireless communication networks...
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Testing Untestable Neural Machine Translation: An Industrial Case
Neural Machine Translation (NMT) has been widely adopted recently due to...
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Oracle-free Detection of Translation Issue for Neural Machine Translation
Neural Machine Translation (NMT) has been widely adopted over recent yea...
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Evaluating Non-Motorized Transport Popularity of Urban Roads by Sports GPS Tracks
Non-motorized transport is becoming increasingly important in urban deve...
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Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search
Despite substantial interest in applications of neural networks to infor...
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3D Human Pose Estimation in the Wild by Adversarial Learning
Recently, remarkable advances have been achieved in 3D human pose estima...
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Robust 3D Human Motion Reconstruction Via Dynamic Template Construction
In multi-view human body capture systems, the recovered 3D geometry or e...
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Identity-Aware Textual-Visual Matching with Latent Co-attention
Textual-visual matching aims at measuring similarities between sentence ...
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Learning Feature Pyramids for Human Pose Estimation
Articulated human pose estimation is a fundamental yet challenging task ...
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Multi-Context Attention for Human Pose Estimation
In this paper, we propose to incorporate convolutional neural networks w...
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Resolving Scale Ambiguity Via XSlit Aspect Ratio Analysis
In perspective cameras, images of a frontal-parallel 3D object preserve ...
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Data-Driven Scene Understanding with Adaptively Retrieved Exemplars
This article investigates a data-driven approach for semantically scene ...
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Clothing Co-Parsing by Joint Image Segmentation and Labeling
This paper aims at developing an integrated system of clothing co-parsin...
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Learning Contour-Fragment-based Shape Model with And-Or Tree Representation
This paper proposes a simple yet effective method to learn the hierarchi...
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Discriminatively Trained And-Or Graph Models for Object Shape Detection
In this paper, we investigate a novel reconfigurable part-based model, n...
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