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05/11/2021
Learning Implicit Temporal Alignment for Few-shot Video Classification
Few-shot video classification aims to learn new video categories with on...
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04/01/2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Scene graph generation is an important visual understanding task with a ...
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03/30/2021
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
Despite the recent success of deep neural networks, it remains challengi...
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08/11/2020
Transformer with Bidirectional Decoder for Speech Recognition
Attention-based models have made tremendous progress on end-to-end autom...
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07/13/2020
Part-aware Prototype Network for Few-shot Semantic Segmentation
Few-shot semantic segmentation aims to learn to segment new object class...
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09/08/2019
Dynamic Context Correspondence Network for Semantic Alignment
Establishing semantic correspondence is a core problem in computer visio...
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05/28/2019
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
Capturing long-range dependencies in feature representations is crucial ...
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10/27/2017
