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09/04/2023
Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian
Neural implicit representation is a promising approach for reconstructin...
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08/11/2023
Rethinking the Localization in Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) is one of the most popular ...
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07/26/2023
Relay-Enabled Backscatter Communications: Linear Mapping and Resource Allocation
Relay-enabled backscatter communication (BC) is an intriguing paradigm t...
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06/08/2023
Mesh-MLP: An all-MLP Architecture for Mesh Classification and Semantic Segmentation
With the rapid development of geometric deep learning techniques, many m...
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06/02/2023
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer – A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities
Vulnerability detection is a critical problem in software security and a...
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04/23/2023
Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field
Estimating normals with globally consistent orientations for a raw point...
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04/12/2023
AGI for Agriculture
Artificial General Intelligence (AGI) is poised to revolutionize a varie...
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04/03/2023
Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data
Cross domain pulmonary nodule detection suffers from performance degrada...
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03/07/2023
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention
Lung cancer is the leading cause of cancer death worldwide. The best sol...
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01/28/2023
POSTER V2: A simpler and stronger facial expression recognition network
Facial expression recognition (FER) plays an important role in a variety...
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12/18/2022
SurfaceVoronoi: Efficiently Computing Voronoi Diagrams over Mesh Surfaces with Arbitrary Distance Solvers
In this paper, we propose to compute Voronoi diagrams over mesh surfaces...
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12/07/2022
RFEPS: Reconstructing Feature-line Equipped Polygonal Surface
Feature lines are important geometric cues in characterizing the structu...
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11/24/2022
More comprehensive facial inversion for more effective expression recognition
Facial expression recognition (FER) plays a significant role in the ubiq...
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11/22/2022
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
Given a possibly false claim sentence, how can we automatically correct ...
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09/19/2022
Rapid Recovery of Program Execution Under Power Failures for Embedded Systems with NVM
After power is switched on, recovering the interrupted program from the ...
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08/03/2022
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection
Convolutional neural networks (CNNs) have been demonstrated to be highly...
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06/07/2022
FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning
Spatial-temporal data contains rich information and has been widely stud...
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04/28/2022
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints
However, current autoregressive approaches suffer from high latency. In ...
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04/28/2022
An Efficient Methodology to Identify Missing Tags in Large-Scale RFID Systems
Radio frequency identification (RFID) has been widely has broad applicat...
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03/16/2022
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning
The ability to recognize analogies is fundamental to human cognition. Ex...
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02/24/2022
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval
Sketch-based 3D shape retrieval is a challenging task due to the large d...
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12/03/2021
SSDL: Self-Supervised Dictionary Learning
The label-embedded dictionary learning (DL) algorithms generate influent...
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12/01/2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
In recent years, researchers pay growing attention to the few-shot learn...
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11/14/2021
Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network
We build surrogate models for dynamic 3D subsurface single-phase flow pr...
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11/12/2021
BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML
Along with the progress of AI democratization, machine learning (ML) has...
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10/25/2021
STransGAN: An Empirical Study on Transformer in GANs
Transformer becomes prevalent in computer vision, especially for high-le...
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10/03/2021
Coverage Axis: Inner Point Selection for 3D Shape Skeletonization
In this paper, we present a simple yet effective formulation called Cove...
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09/16/2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
Few-shot learning (FSL) aims to address the data-scarce problem. A stand...
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03/24/2021
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
Existing color-guided depth super-resolution (DSR) approaches require pa...
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12/23/2020
BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training
The size of deep neural networks (DNNs) grows rapidly as the complexity ...
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12/09/2020
Positional Encoding as Spatial Inductive Bias in GANs
SinGAN shows impressive capability in learning internal patch distributi...
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12/07/2020
CARAFE++: Unified Content-Aware ReAssembly of FEatures
Feature reassembly, i.e. feature downsampling and upsampling, is a key o...
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10/23/2020
DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization
For classification tasks, dictionary learning based methods have attract...
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10/23/2020
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
In recent years, the attention mechanism contributes significantly to hy...
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10/16/2020
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data
Deep learning-based super-resolution (SR) techniques have generally achi...
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09/28/2020
Texture Memory-Augmented Deep Patch-Based Image Inpainting
Patch-based methods and deep networks have been employed to tackle image...
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09/08/2020
Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow
Deep neural networks (DNNs) are widely used as surrogate models in geoph...
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07/10/2020
Progressive Point Cloud Deconvolution Generation Network
In this paper, we propose an effective point cloud generation method, wh...
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06/19/2020
Discovering Symbolic Models from Deep Learning with Inductive Biases
We develop a general approach to distill symbolic representations of a l...
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04/24/2020
Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network
Many deep learning based methods have been proposed for retinal vessel s...
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11/26/2019
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
Lip reading has witnessed unparalleled development in recent years thank...
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11/25/2019
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Recent advances in adversarial attacks uncover the intrinsic vulnerabili...
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10/20/2019
Top-Down Shape Abstraction Based on Greedy Pole Selection
Motivated by the fact that the medial axis transform is able to encode n...
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09/12/2019
Learning Symbolic Physics with Graph Networks
We introduce an approach for imposing physically motivated inductive bia...
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08/14/2019
A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
Lip reading aims at decoding texts from the movement of a speaker's mout...
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08/01/2019
MIN: Co-Governing Multi-Identifier Network Architecture and its Prototype on Operator's Network
IP protocol is the core of TCP/IP network layer. However, since IP addre...
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06/17/2019
The Prototype of Decentralized Multilateral Co-Governing Post-IP Internet Architecture and Its Testing on Operator Networks
The Internet has become the most important infrastructure of modern soci...
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05/08/2019
Deep Flow-Guided Video Inpainting
Video inpainting, which aims at filling in missing regions of a video, r...
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05/06/2019
CARAFE: Content-Aware ReAssembly of FEatures
Feature upsampling is a key operation in a number of modern convolutiona...
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04/17/2019