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08/07/2023
Screen-based 3D Subjective Experiment Software
Recently, widespread 3D graphics (e.g., point clouds and meshes) have dr...
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06/05/2023
Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset
Little attention has been paid on EArly Rumor Detection (EARD), and EARD...
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06/05/2023
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models
Few-shot or zero-shot fact verification only relies on a few or no label...
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04/14/2023
Efficient Incremental Penetration Depth Estimation between Convex Geometries
Penetration depth (PD) is essential for robotics due to its extensive ap...
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03/21/2023
Wearing Masks Implies Refuting Trump?: Towards Target-specific User Stance Prediction across Events in COVID-19 and US Election 2020
People who share similar opinions towards controversial topics could for...
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03/09/2023
Estimation of the Directions for Unknown Parameters in Semiparametric Models
Semiparametric models are useful in econometrics, social sciences and me...
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10/25/2022
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
Current end-to-end retrieval-based dialogue systems are mainly based on ...
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09/23/2022
Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge
Conversational Recommender Systems (CRS) has become an emerging research...
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07/30/2022
Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding
Consistent quality oriented rate control in video coding has attracted m...
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07/25/2022
Salient Object Detection for Point Clouds
This paper researches the unexplored task-point cloud salient object det...
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07/17/2022
BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images
The spread of COVID-19 has brought a huge disaster to the world, and the...
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06/09/2022
Receding Horizon Inverse Reinforcement Learning
Inverse reinforcement learning (IRL) seeks to infer a cost function that...
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05/24/2022
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision
Deep learning (DL) shows its prosperity in a wide variety of fields. The...
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05/24/2022
A Rate Control Algorithm for Video-based Point Cloud Compression
Video-based point cloud compression (V-PCC) has been an emerging compres...
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04/30/2022
Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform
Brain-computer interfaces (BCIs), invasive or non-invasive, have project...
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04/29/2022
On the Optimization of Margin Distribution
Margin has played an important role on the design and analysis of learni...
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04/29/2022
Deep Geometry Post-Processing for Decompressed Point Clouds
Point cloud compression plays a crucial role in reducing the huge cost o...
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04/18/2022
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation
Point clouds upsampling is a challenging issue to generate dense and uni...
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04/06/2022
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning
The diffusion of rumors on microblogs generally follows a propagation tr...
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03/02/2022
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling
We propose a generative adversarial network for point cloud upsampling, ...
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02/25/2022
Context-Hierarchy Inverse Reinforcement Learning
An inverse reinforcement learning (IRL) agent learns to act intelligentl...
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02/12/2022
OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression
In point cloud compression, sufficient contexts are significant for mode...
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02/12/2022
Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval
In video surveillance, pedestrian retrieval (also called person re-ident...
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01/10/2022
End-to-end lossless compression of high precision depth maps guided by pseudo-residual
As a fundamental data format representing spatial information, depth map...
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11/10/2021
Learning to Disentangle Scenes for Person Re-identification
There are many challenging problems in the person re-identification (ReI...
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11/09/2021
Exploiting Robust Unsupervised Video Person Re-identification
Unsupervised video person re-identification (reID) methods usually depen...
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09/16/2021
End-to-End Partially Observable Visual Navigation in a Diverse Environment
How can a robot navigate successfully in a rich and diverse environment,...
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06/29/2021
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models
Face recognition is greatly improved by deep convolutional neural networ...
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04/21/2021
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
This paper reviews the first NTIRE challenge on quality enhancement of c...
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03/27/2021
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) is a challenging problem wh...
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02/25/2021
Efficient computational algorithms for approximate optimal designs
In this paper, we propose two simple yet efficient computational algorit...
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02/11/2021
kPAM 2.0: Feedback Control for Category-Level Robotic Manipulation
In this paper, we explore generalizable, perception-to-action robotic ma...
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01/21/2021
Automating LC-MS/MS mass chromatogram quantification. Wavelet transform based peak detection and automated estimation of peak boundaries and signal-to-noise ratio using signal
While there are many different methods for peak detection, no automatic ...
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11/25/2020
Privacy-preserving Collaborative Learning with Automatic Transformation Search
Collaborative learning has gained great popularity due to its benefit of...
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10/22/2020
Optimization-Based Visual-Inertial SLAM Tightly Coupled with Raw GNSS Measurements
Fusing vision, Inertial Measurement Unit (IMU) and Global Navigation Sat...
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10/14/2020
PointManifold: Using Manifold Learning for Point Cloud Classification
In this paper, we propose a point cloud classification method based on g...
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03/24/2020
Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations
A U-Net is trained to recover acoustic interference striations (AISs) fr...
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02/01/2020
Bidirectional Trajectory Computation for Odometer-Aided Visual-Inertial SLAM
Odometer-aided visual-inertial SLAM systems typically have a good perfor...
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09/16/2019
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion
Manipulation planning is the task of computing robot trajectories that m...
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04/30/2019
SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction
We contribute a dense SLAM system that takes a live stream of depth imag...
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04/16/2019
An extended description logic system with knowledge element based on ALC
With the rise of knowledge management and knowledge economy, the knowled...
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03/15/2019
kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation
We would like robots to achieve purposeful manipulation by placing any i...
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02/28/2019
A security steganography scheme based on hdr image
It is widely recognized that the image format is crucial to steganograph...
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11/26/2018
FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization
Probabilistic point-set registration methods have been gaining more atte...
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10/31/2018
Structure Learning of Deep Neural Networks with Q-Learning
Recently, with convolutional neural networks gaining significant achieve...
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07/11/2018
Generative Adversarial Networks with Decoder-Encoder Output Noise
In recent years, research on image generation methods has been developin...
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04/08/2018
Efficient Computational Algorithm for Optimal Continuous Experimental Designs
A simple yet efficient computational algorithm for computing the continu...
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11/07/2017
Estimation of Treatment Effects for Heterogeneous Matched Pairs Data with Probit Models
Estimating the effect of medical treatments on subject responses is one ...
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10/16/2017
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
How can a delivery robot navigate reliably to a destination in a new off...
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04/26/2016
