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  "author": "Hao Zhang",
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  "author": "Hao Zhang",
            
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Lechao Cheng",
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    },
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      "extra_author": "Yanbin Hao",
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      "extra_author": "Yanbin Hao",
            
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    },
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    {
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      "extra_author": "Chong-wah Ngo",
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      "extra_author": "Chong-wah Ngo",
            
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      "orcid": ""
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      "name": "video-classification",
            
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      "title": "Video Classification"
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      "title": "Video Classification"
            
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  "name": 
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m-leap-attention--short-term-periodic-shift-for-video-classification",
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m-leap-attention--short-term-periodic-shift-for-video-classification",
            
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  "notes": "Video transformer naturally incurs a heavier computation 
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  "notes": "Video transformer naturally incurs a heavier computation 
            
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burden than a static vision transformer, as the former processes T 
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burden than a static vision transformer, as the former processes T 
            
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times longer sequence than the latter under the current attention of 
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times longer sequence than the latter under the current attention of 
            
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quadratic complexity. The existing works treat the temporal axis as a 
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quadratic complexity. The existing works treat the temporal axis as a 
            
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simple extension of spatial axes, focusing on shortening the 
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simple extension of spatial axes, focusing on shortening the 
            
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spatio-temporal sequence by either generic pooling or local windowing 
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spatio-temporal sequence by either generic pooling or local windowing 
            
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without utilizing temporal redundancy.",
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without utilizing temporal redundancy.",
            
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      "display_name": "video classification",
            
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  "title": "Long-term Leap Attention, Short-term Periodic Shift for 
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Video Classification",
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Video Classification",
            
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}