264 citations · 1.3k across the 65 of their papers we have counts for
8 papers · 1 filter
RTime-QA: A Benchmark for Atomic Temporal Event Understanding in Large Multi-modal Models
Yuqi Liu, Qin Jin, Tianyuan Qu +4
Understanding accurate atomic temporal event is essential for video comprehension. However, current video-language benchmarks often fall short to evaluate Large Multi-modal Models'…
FlexPose: Pose Distribution Adaptation with Limited Guidance
Zixiao Wang, Junwu Weng, Mengyuan Liu +1
Numerous well-annotated human key-point datasets are publicly available to date. However, annotating human poses for newly collected images is still a costly and time-consuming pro…
CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning
Xiaoxiao Liang, Haoyu Yang, Kang Liu +2
Optical proximity correction (OPC) is a vital step to ensure printability in modern VLSI manufacturing. Various OPC approaches based on machine learning have been proposed to pursu…
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
Guojin Chen, Zehua Pei, Haoyu Yang +3
Lithography is fundamental to integrated circuit fabrication, necessitating large computation overhead. The advancement of machine learning (ML)-based lithography models alleviates…
DiffPattern: Layout Pattern Generation via Discrete Diffusion
Zixiao Wang, Yunheng Shen, Wenqian Zhao +4
Deep generative models dominate the existing literature in layout pattern generation. However, leaving the guarantee of legality to an inexplicable neural network could be problema…
DevelSet: Deep Neural Level Set for Instant Mask Optimization
Guojin Chen, Ziyang Yu, Hongduo Liu +2
With the feature size continuously shrinking in advanced technology nodes, mask optimization is increasingly crucial in the conventional design flow, accompanied by an explosive gr…