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05/24/2023
Jointly Optimizing Image Compression with Low-light Image Enhancement
Learning-based image compression methods have made great progress. Most ...
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09/12/2022
High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation
Learning-based methods have effectively promoted the community of image ...
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04/11/2022
Category-Aware Transformer Network for Better Human-Object Interaction Detection
Human-Object Interactions (HOI) detection, which aims to localize a huma...
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02/24/2022
Effective Actor-centric Human-object Interaction Detection
While Human-Object Interaction(HOI) Detection has achieved tremendous ad...
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12/01/2021
Learning Oriented Remote Sensing Object Detection via Naive Geometric Computing
Detecting oriented objects along with estimating their rotation informat...
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11/08/2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Adversarial attacks on graphs have posed a major threat to the robustnes...
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10/10/2021
Morphable Detector for Object Detection on Demand
Many emerging applications of intelligent robots need to explore and und...
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06/12/2021
TDGIA:Effective Injection Attacks on Graph Neural Networks
Graph Neural Networks (GNNs) have achieved promising performance in vari...
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05/26/2021
CogView: Mastering Text-to-Image Generation via Transformers
Text-to-Image generation in the general domain has long been an open pro...
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03/19/2021
Controllable Generation from Pre-trained Language Models via Inverse Prompting
Large-scale pre-trained language models have demonstrated strong capabil...
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03/01/2021
M6: A Chinese Multimodal Pretrainer
In this work, we construct the largest dataset for multimodal pretrainin...
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05/19/2020
Controllable Multi-Interest Framework for Recommendation
Recently, neural networks have been widely used in e-commerce recommende...
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07/04/2019
Dimensional Reweighting Graph Convolutional Networks
Graph Convolution Networks (GCNs) are becoming more and more popular for...
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05/05/2019
Representation Learning for Attributed Multiplex Heterogeneous Network
Network embedding (or graph embedding) has been widely used in many real...
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05/22/2018
