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08/30/2023
Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object Detection
In this paper, we for the first time explore helpful multi-modal context...
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05/30/2023
Multi-modal Queried Object Detection in the Wild
We introduce MQ-Det, an efficient architecture and pre-training strategy...
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05/15/2023
CLIP-VG: Self-paced Curriculum Adapting of CLIP via Exploiting Pseudo-Language Labels for Visual Grounding
Visual Grounding (VG) refers to locating a region described by expressio...
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11/28/2022
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification
Although significant progress has been made in few-shot learning, most o...
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03/29/2022
Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding
Visual grounding focuses on establishing fine-grained alignment between ...
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12/20/2021
Dynamic Hypergraph Convolutional Networks for Skeleton-Based Action Recognition
Graph convolutional networks (GCNs) based methods have achieved advanced...
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06/16/2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
Recently, the transductive graph-based methods have achieved great succe...
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03/23/2021
Health Status Prediction with Local-Global Heterogeneous Behavior Graph
Health management is getting increasing attention all over the world. Ho...
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11/07/2020
Data–driven Image Restoration with Option–driven Learning for Big and Small Astronomical Image Datasets
Image restoration methods are commonly used to improve the quality of as...
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05/25/2019
