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检索条件"机构=Center for Visual Computing and Computer Science"
348 条 记 录,以下是91-100 订阅
Causal-IQA: towards the generalization of image quality assessment based on causal inference  24
Causal-IQA: towards the generalization of image quality asse...
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Proceedings of the 41st International Conference on Machine Learning
作者: Yan Zhong Xingyu Wu Li Zhang Chenxi Yang Tingting Jiang School of Mathematical Sciences and National Engineering Research Center of Visual Technology National Key Laboratory for Multimedia Information Processing School of Computer Science Peking University Beijing China Department of Computing The Hong Kong Polytechnic University Hong Kong SAR China Hefei Institute of Physical Science Chinese Academy of Sciences University of Science and Technology of China Hefei China National Engineering Research Center of Visual Technology National Key Laboratory for Multimedia Information Processing School of Computer Science and 5National Biomedical Imaging Center Peking University Beijing China
Due to the high cost of Image Quality Assessment (IQA) datasets, achieving robust generalization remains challenging for prevalent deep learning-based IQA methods. To address this, this paper proposes a novel end-to-e...
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FreeCloth: Free-form Generation Enhances Challenging Clothed Human Modeling
arXiv
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arXiv 2024年
作者: Ye, Hang Ma, Xiaoxuan Ci, Hai Zhu, Wentao Wang, Yizhou Center on Frontiers of Computing Studies School of Computer Science Peking University China Inst. for Artificial Intelligence Peking University China Nat’l Eng. Research Center of Visual Technology China State Key Laboratory of General Artificial Intelligence Peking University China
Achieving realistic animated human avatars requires accurate modeling of pose-dependent clothing deformations. Existing learning-based methods heavily rely on the Linear Blend Skinning (LBS) of minimally-clothed human... 详细信息
来源: 评论
CAMG: Context-Aware Moment Graph Network for Multimodal Temporal Activity Localization via Language  12th
CAMG: Context-Aware Moment Graph Network for Multimodal Tem...
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12th National CCF Conference on Natural Language Processing and Chinese computing, NLPCC 2023
作者: Hu, Yuelin Xu, Yuanwu Zhang, Yuejie Feng, Rui Zhang, Tao Lu, Xuequan Gao, Shang School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University Shanghai200433 China School of Information Management and Engineering Shanghai Key Laboratory of Financial Information Technology Shanghai University of Finance and Economics Shanghai200433 China School of Information Technology Deakin University Waurn PondsVIC3216 Australia
Temporal Activity Localization via Language (TALL) is a challenging task for language based video understanding, especially when a video contains multiple moments of interest and the language query has words describin... 详细信息
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Multi-Modality Deep Network for Extreme Learned Image Compression
arXiv
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arXiv 2023年
作者: Jiang, Xuhao Tan, Weimin Tan, Tian Yan, Bo Shen, Liquan School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University Shanghai China School of Communication Shanghai University Shanghai China
Image-based single-modality compression learning approaches have demonstrated exceptionally powerful encoding and decoding capabilities in the past few years, but suffer from blur and severe semantics loss at extremel... 详细信息
来源: 评论
PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack  29
PlugAT: A Plug and Play Module to Defend against Textual Adv...
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29th International Conference on Computational Linguistics, COLING 2022
作者: Zheng, Rui Bao, Rong Liu, Qin Gui, Tao Zhang, Qi Huang, Xuanjing Xie, Rui Wu, Wei School of Computer Science Fudan University China Ant Group China Viterbi School of Engineering University of Southern California China Institute of Modern Languages and Linguistics Fudan University Shanghai China Shanghai Collaborative Innovation Center of Intelligent Visual Computing China Meituan Inc. Beijing China
Adversarial training, which minimizes the loss of adversarially perturbed examples, has received considerable attention. However, these methods require modifying all model parameters and optimizing the model from scra... 详细信息
来源: 评论
Multi-Modality Deep Network for JPEG Artifacts Reduction
arXiv
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arXiv 2023年
作者: Jiang, Xuhao Tan, Weimin Lin, Qing Ma, Chenxi Yan, Bo Shen, Liquan School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University Shanghai China School of Communication Shanghai University Shanghai China
In recent years, many convolutional neural network-based models are designed for JPEG artifacts reduction, and have achieved notable progress. However, few methods are suitable for extreme low-bitrate image compressio... 详细信息
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Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision
Learning Open-Vocabulary Semantic Segmentation Models From N...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Jilan Xu Junlin Hou Yuejie Zhang Rui Feng Yi Wang Yu Qiao Weidi Xie Shanghai Key Lab of Intelligent Information Processing School of Computer Science Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University Shanghai AI Laboratory CMIC Shanghai Jiao Tong University
This paper considers the problem of open-vocabulary semantic segmentation (OVS), that aims to segment objects of arbitrary classes beyond a pre-defined, closed-set categories. The main contributions are as follows: Fi...
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LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network
arXiv
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arXiv 2023年
作者: Su, Yuchen Chen, Zhineng Shao, Zhiwen Du, Yuning Ji, Zhilong Bai, Jinfeng Zhou, Yong Jiang, Yu-Gang Shanghai Collaborative Innovation Center of Intelligent Visual Computing School of Computer Science Fudan University China Baidu Inc. Iran China University of Mining and Technology China Tomorrow Advancing Life China
Recently, regression-based methods, which predict parameterized text shapes for text localization, have gained popularity in scene text detection. However, the existing parameterized text shape methods still have limi... 详细信息
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The NeRF Signature: Codebook-Aided Watermarking for Neural Radiance Fields
arXiv
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arXiv 2025年
作者: Luo, Ziyuan Rocha, Anderson Shi, Boxin Guo, Qing Li, Haoliang Wan, Renjie Department of Computer Science Hong Kong Baptist University Hong Kong Institute of Computing University of Campinas Brazil State Key Laboratory of Multimedia Information Processing and National Engineering Research Center of Visual Technology School of Computer Science Peking University Beijing100871 China A*STAR Singapore Department of Electrical Engineering City University of Hong Kong Hong Kong
Neural Radiance Fields (NeRF) have been gaining attention as a significant form of 3D content representation. With the proliferation of NeRF-based creations, the need for copyright protection has emerged as a critical... 详细信息
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SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens
arXiv
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arXiv 2024年
作者: Su, Chi Ma, Xiaoxuan Su, Jiajun Wang, Yizhou Center on Frontiers of Computing Studies School of Computer Science Peking University China Inst. for Artificial Intelligence Peking University China Nat’l Eng. Research Center of Visual Technology China State Key Laboratory of General Artificial Intelligence Peking University China China
We propose SAT-HMR, a one-stage framework for real-time multi-person 3D human mesh estimation from a single RGB image. While current one-stage methods, which follow a DETR-style pipeline, achieve state-of-the-art (SOT... 详细信息
来源: 评论