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05/21/2023
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text
Pre-trained large language model (LLM) is under exploration to perform N...
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02/23/2023
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Large language models have demonstrated an emergent capability in answer...
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02/11/2023
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model
Non-intrusive load monitoring (NILM) aims to decompose aggregated electr...
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09/03/2022
Graph Fourier transforms on directed product graphs
Graph Fourier transform (GFT) is one of the fundamental tools in graph s...
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04/13/2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Lung cancer is the leading cause of cancer death worldwide, and adenocar...
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06/02/2021
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classication
Multiple instance learning (MIL) is a powerful tool to solve the weakly ...
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04/18/2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Video-text retrieval plays an essential role in multi-modal research and...
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02/04/2020
TPPO: A Novel Trajectory Predictor with Pseudo Oracle
Forecasting pedestrian trajectories in dynamic scenes remains a critical...
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09/29/2018
