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检索条件"机构=Center for Visual Computing and Computer Science"
348 条 记 录,以下是51-60 订阅
GenRec: unifying video generation and recognition with diffusion models  24
GenRec: unifying video generation and recognition with diffu...
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Proceedings of the 38th International Conference on Neural Information Processing Systems
作者: Zejia Weng Xitong Yang Zhen Xing Zuxuan Wu Yu-Gang Jiang Shanghai Key Lab of Intell. Info. Processing School of CS Fudan University and Shanghai Collaborative Innovation Center of Intelligent Visual Computing Department of Computer Science University of Maryland
Video diffusion models are able to generate high-quality videos by learning strong spatial-temporal priors on large-scale datasets. In this paper, we aim to investigate whether such priors derived from a generative pr...
来源: 评论
TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition
arXiv
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arXiv 2023年
作者: Zheng, Tianlun Chen, Zhineng Bai, Jinfeng Xie, Hongtao Jiang, Yu-Gang Shanghai Collaborative Innovation Center of Intelligent Visual Computing School of Computer Science Fudan University China Tomorrow Advance Life China University of Science and Technology of China China
Text irregularities pose significant challenges to scene text recognizers. Thin-Plate Spline (TPS)based rectification is widely regarded as an effective means to deal with them. Currently, the calculation of TPS trans... 详细信息
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Learning to Rank Patches for Unbiased Image Redundancy Reduction
arXiv
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arXiv 2024年
作者: Luo, Yang Chen, Zhineng Zhou, Peng Wu, Zuxuan Gao, Xieping Jiang, Yu-Gang School of Computer Science Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University China University of Maryland College Park United States College of Information Science and Engineering Hunan Normal University China
Images suffer from heavy spatial redundancy because pixels in neighboring regions are spatially correlated. Existing approaches strive to overcome this limitation by reducing less meaningful image regions. However, cu... 详细信息
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Retrieval Augmented Recipe Generation
arXiv
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arXiv 2024年
作者: Liu, Guoshan Yin, Hailong Zhu, Bin Chen, Jingjing Ngo, Chong-Wah Jiang, Yu-Gang Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University China Shanghai Collaborative Innovation Center on Intelligent Visual Computing China Singapore Management University Singapore
The growing interest in generating recipes from food images has drawn substantial research attention in recent years. Existing works for recipe generation primarily utilize a two-stage training method—first predictin... 详细信息
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An Optimization Method of Primer Design Based on Attention-BiLSTM  2
An Optimization Method of Primer Design Based on Attention-B...
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2nd International Conference on Robotics, Artificial Intelligence and Intelligent Control, RAIIC 2023
作者: Bai, Binhao Long, Jinyu Yang, Zhibo Li, Junli Wei, Ping Sichuan Normal University College of Computer Science Chengdu China Sichuan Normal University Visual Computing and Virtual Reality Key Laboratory of Sichuan Chengdu China Sichuan Center of Translational Medicine Sichuan Key Laboratory of Translational Medicine of Traditional Chinese Medicine Sichuan Academy of Traditional Chinese Medicine Chengdu China
In this paper, we propose a method to predict the success of primer amplification based on the relationship existing between the sequence of primer and template, which can optimize the primer design and select the pri... 详细信息
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Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction
arXiv
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arXiv 2023年
作者: Xu, Yangyang Yang, Yibo Ghanem, Bernard Zhang, Lefei Du, Bo Tao, Dacheng School of Computer Science Wuhan University Wuhan China Visual Computing Center King Abdullah University of Science and Technology Jeddah Saudi Arabia Sydney Ai Centre School of Computer Science The University of Sydney Sydney Australia
Convolution neural networks (CNNs) and Transformers have their own advantages and both have been widely used for dense prediction in multi-task learning (MTL). Most of the current studies on MTL solely rely on CNN or ... 详细信息
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MVFlow: Deep Optical Flow Estimation of Compressed Videos with Motion Vector Prior
arXiv
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arXiv 2023年
作者: Zhou, Shili Jiang, Xuhao Tan, Weimin He, Ruian Yan, Bo School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University Shanghai China
In recent years, many deep learning-based methods have been proposed to tackle the problem of optical flow estimation and achieved promising results. However, they hardly consider that most videos are compressed and t... 详细信息
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Learning Survival Distribution with Implicit Survival Function
arXiv
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arXiv 2023年
作者: Ling, Yu Tan, Weimin Yan, Bo School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University Shanghai China
Survival analysis aims at modeling the relationship between covariates and event occurrence with some untracked (censored) samples. In implementation, existing methods model the survival distribution with strong assum... 详细信息
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Uncer2Natural: Uncertainty-Aware Unsupervised Image Denoising
Uncer2Natural: Uncertainty-Aware Unsupervised Image Denoisin...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Chenyu Huang Weimin Tan Jiaxing Shi Zhen Xing Bo Yan School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University Shanghai China
Recently, unsupervised image denoising methods learning from paired noisy samples have received increasing attention. These methods build on the idea that the mean of multiple noisy images of the same scene is the ide... 详细信息
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Towards a Unified User Interface for visual Analysis of Retinal Data in Ophthalmology
arXiv
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arXiv 2023年
作者: Röhlig, Martin Nonnemann, Lars Schulz, Hans-Jörg Stachs, Oliver Schumann, Heidrun Institute for Visual and Analytic Computing University of Rostock Germany Department of Computer Science Aarhus University Denmark Department of Ophthalmology Rostock University Medical Center Germany
The visual analysis of retinal data contributes to the understanding of a wide range of eye diseases. For the evaluation of cross-sectional studies, ophthalmologists rely on workflows and toolsets established in their... 详细信息
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