AI & ML interests
Computer Vision; Video Understanding; Action Recognition
Recent Activity
				Papers
		
SAM 2++: Tracking Anything at Any Granularity

Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation
			Organization Card
		
		We release the code, model and data of the research work done by the Multimedia Computing Group (MCG), Nanjing University🔥
			models
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				MCG-NJU/SAM2-Plus
		
	
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				MCG-NJU/MotionRAG
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				MCG-NJU/StreamForest-Pretrain-Qwen2-7B
		
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				MCG-NJU/StreamForest-Drive-Qwen2-7B
		
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				MCG-NJU/StreamForest-Qwen2-7B
		
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					1
				
 
				MCG-NJU/KS-Gen
		
	
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				MCG-NJU/PixNerd-XXL-P16-T2I
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				MCG-NJU/PixNerd-XL-P16-C2I
			Unconditional Image Generation
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				MCG-NJU/DMM
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				MCG-NJU/DDT-XL-22en6de-R256
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			datasets
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	MCG-NJU/Tracking-Any-Granularity
	
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MCG-NJU/ODV-Bench
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			7.9k
	
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MCG-NJU/StreamForest-Annodata
	
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					244
				
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MCG-NJU/CaReBench
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			1k
	
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MCG-NJU/OVBench
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			1.46k
	
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MCG-NJU/KS-Gen
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			24k
	
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MCG-NJU/VideoChatOnline-IT
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			221k
	
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MCG-NJU/SportsShot
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			1.2k
	
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MCG-NJU/SportsMOT
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			240
	
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MCG-NJU/SportsHHI
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