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05/23/2023
Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation
In the paradigm of AI-generated content (AIGC), there has been increasin...
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03/21/2023
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
Existing works on open-vocabulary semantic segmentation have utilized la...
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10/06/2022
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence
Existing pipelines of semantic correspondence commonly include extractin...
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09/19/2022
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
We present a novel architecture for dense correspondence. The current st...
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07/22/2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
This paper presents a novel cost aggregation network, called Volumetric ...
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02/14/2022
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
Cost aggregation is a highly important process in image matching tasks, ...
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12/22/2021
Cost Aggregation Is All You Need for Few-Shot Segmentation
We introduce a novel cost aggregation network, dubbed Volumetric Aggrega...
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08/17/2021
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation
Successful sequential recommendation systems rely on accurately capturin...
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06/06/2021
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
Conventional techniques to establish dense correspondences across visual...
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06/04/2021