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03/19/2023
Efficiently Counting Substructures by Subgraph GNNs without Running GNN on Subgraphs
Using graph neural networks (GNNs) to approximate specific functions suc...
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05/27/2022
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
Fusing the camera and LiDAR information has become a de-facto standard f...
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01/28/2022
Neural Approximation of Extended Persistent Homology on Graphs
Persistent homology is a widely used theory in topological data analysis...
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10/06/2021
A Topological View of Rule Learning in Knowledge Graphs
Inductive relation prediction is an important learning task for knowledg...
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07/01/2021
CBNetV2: A Composite Backbone Network Architecture for Object Detection
Consistent performance gains through exploring more effective network st...
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05/23/2021
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Malicious application of deepfakes (i.e., technologies can generate targ...
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05/02/2021
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding
Large-scale pre-trained models like BERT, have obtained a great success ...
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04/24/2021
Automatic Description Construction for Math Expression via Topic Relation Graph
Math expressions are important parts of scientific and educational docum...
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03/27/2021
Community-based Cyberreading for Information Understanding
Although the content in scientific publications is increasingly challeng...
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03/23/2021
RPATTACK: Refined Patch Attack on General Object Detectors
Nowadays, general object detectors like YOLO and Faster R-CNN as well as...
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03/08/2021
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
Recently, neural architecture search (NAS) has been exploited to design ...
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02/20/2021
Persistence Homology for Link Prediction: An Interactive View
Link prediction is an important learning task for graph-structured data....
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12/23/2020
ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition
Despite the recent advances in optical character recognition (OCR), math...
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05/27/2020
GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling
Existing CNN-based methods for pixel labeling heavily depend on multi-sc...
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01/19/2020
MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion
To efficiently extract spatiotemporal features of video for action recog...
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12/20/2019
MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection
Feature pyramids are widely exploited in many detectors to solve the sca...
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11/27/2019
Automatic Generation of Headlines for Online Math Questions
Mathematical equations are an important part of dissemination and commun...
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09/09/2019
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
In existing CNN based detectors, the backbone network is a very importan...
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08/30/2019
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning
Zero-shot and few-shot learning aim to improve generalization to unseen ...
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05/14/2019
Graph Attribute Aggregation Network with Progressive Margin Folding
Graph convolutional neural networks (GCNNs) have been attracting increas...
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12/31/2018
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map
Although the scientific digital library is growing at a rapid pace, scho...
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11/12/2018
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Feature pyramids are widely exploited by both the state-of-the-art one-s...
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07/31/2018
