most citedPET Head Motion Estimation Using Supervised Deep Learning with Attention

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC2026

Understanding NVIDIA Grace-Blackwell Unified Memory Through Placement-Controlled Microbenchmarks

Nathan Graddon, Aaron Jarmusch, Sunita Chandrasekaran

NVIDIA Grace--Blackwell systems make CPU--GPU memory increasingly unified at the programming level, but unified addressability does not make the memory system uniform. A CUDA manag…

cs.CV2026

Mixture-of-Thought-Tokens: Unifying Perception and Reasoning for Free-form Multimodal Grounding

Tianyi Gao, Han Fang, Tianyi Ding +9

Multimodal Large Language Models have made great progress in grounding tasks, yet existing methods still struggle to unify precise localization and complex reasoning. For one thing…

cs.IR2026

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval

Yuhan Liu, Pei Fu, Hang Li +8

Leveraging Multimodal Large Language Models (MLLMs) via contrastive learning has become a mainstream paradigm for improving the performance of Universal Multimodal Retrieval (UMR).…

cs.CV2025

RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension

Tianyi Gao, Hao Li, Han Fang +8

Referring Expression Comprehension (REC) is a vision-language task that localizes a specific image region based on a textual description. Existing REC benchmarks primarily evaluate…

cs.CV2025★ 1 cited

PET Head Motion Estimation Using Supervised Deep Learning with Attention

Zhuotong Cai, Tianyi Zeng, Jiazhen Zhang +8

Head movement poses a significant challenge in brain positron emission tomography (PET) imaging, resulting in image artifacts and tracer uptake quantification inaccuracies. Effecti…