Search Results - "Liang-Chieh Chen"

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  1. 1

    DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs by Liang-Chieh Chen, Papandreou, George, Kokkinos, Iasonas, Murphy, Kevin, Yuille, Alan L.

    “…In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have…”
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    Journal Article
  2. 2

    Attention to Scale: Scale-Aware Semantic Image Segmentation by Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Yuille, Alan L.

    “…Incorporating multi-scale features in fully convolutional neural networks (FCNs) has been a key element to achieving state-of-the-art performance on semantic…”
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    Conference Proceeding
  3. 3

    Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform by Liang-Chieh Chen, Barron, Jonathan T., Papandreou, George, Murphy, Kevin, Yuille, Alan L.

    “…Deep convolutional neural networks (CNNs) are the backbone of state-of-art semantic image segmentation systems. Recent work has shown that complementing CNNs…”
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    Conference Proceeding
  4. 4

    Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation by Liu, Chenxi, Chen, Liang-Chieh, Schroff, Florian, Adam, Hartwig, Hua, Wei, Yuille, Alan L., Fei-Fei, Li

    “…Recently, Neural Architecture Search (NAS) has successfully identified neural network architectures that exceed human designed ones on large-scale image…”
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    Conference Proceeding
  5. 5

    Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation by Papandreou, George, Liang-Chieh Chen, Murphy, Kevin P., Yuille, Alan L.

    “…Deep convolutional neural networks (DCNNs) trained on a large number of images with strong pixel-level annotations have recently significantly pushed the…”
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    Conference Proceeding Journal Article
  6. 6

    Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation by Cheng, Bowen, Collins, Maxwell D., Zhu, Yukun, Liu, Ting, Huang, Thomas S., Adam, Hartwig, Chen, Liang-Chieh

    “…In this work, we introduce Panoptic-DeepLab, a simple, strong, and fast system for panoptic segmentation, aiming to establish a solid baseline for bottom-up…”
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    Conference Proceeding
  7. 7

    Synthesis of site‐specific Fab‐drug conjugates using ADP‐ribosyl cyclases by Kim, Hyo Sun, Hariri, Kimia, Zhang, Xiao‐Nan, Chen, LiangChieh, Katz, Benjamin B., Pei, Hua, Louie, Stan G., Zhang, Yong

    Published in Protein science (01-04-2024)
    “…Targeted delivery of small‐molecule drugs via covalent attachments to monoclonal antibodies has proved successful in clinic. For this purpose, full‐length…”
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    Journal Article
  8. 8

    Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision by Liang-Chieh Chen, Fidler, Sanja, Yuille, Alan L., Urtasun, Raquel

    “…Labeling large-scale datasets with very accurate object segmentations is an elaborate task that requires a high degree of quality control and a budget of tens…”
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    Conference Proceeding
  9. 9

    DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution by Qiao, Siyuan, Chen, Liang-Chieh, Yuille, Alan

    “…Many modern object detectors demonstrate outstanding performances by using the mechanism of looking and thinking twice. In this paper, we explore this…”
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    Conference Proceeding
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    MobileNetV2: Inverted Residuals and Linear Bottlenecks by Sandler, Mark, Howard, Andrew, Zhu, Menglong, Zhmoginov, Andrey, Chen, Liang-Chieh

    “…In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and…”
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    Conference Proceeding
  13. 13

    Modeling Image Patches with a Generic Dictionary of Mini-epitomes by Papandreou, George, Liang-Chieh Chen, Yuille, Alan L.

    “…The goal of this paper is to question the necessity of features like SIFT in categorical visual recognition tasks. As an alternative, we develop a generative…”
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    Conference Proceeding
  14. 14

    Learning a Dictionary of Shape Epitomes with Applications to Image Labeling by Liang-Chieh Chen, Papandreou, George, Yuille, Alan L.

    “…The first main contribution of this paper is a novel method for representing images based on a dictionary of shape epitomes. These shape epitomes represent the…”
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    Conference Proceeding Journal Article
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    Identification of a dual TAOK1 and MAP4K5 inhibitor using a structure-based virtual screening approach by Chao, Min-Wu, Lin, Tony Eight, HuangFu, Wei-Chun, Chang, Chao-Di, Tu, Huang-Ju, Chen, Liang-Chieh, Yen, Shih-Chung, Sung, Tzu-Ying, Huang, Wei-Jan, Yang, Chia-Ron, Pan, Shiow-Lin, Hsu, Kai-Cheng

    “…The STE20 kinase family is a complex signalling cascade that regulates cytoskeletal organisation and modulates the stress response. This signalling cascade…”
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    Journal Article
  17. 17

    MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers by Wang, Huiyu, Zhu, Yukun, Adam, Hartwig, Yuille, Alan, Chen, Liang-Chieh

    “…We present MaX-DeepLab, the first end-to-end model for panoptic segmentation. Our approach simplifies the current pipeline that depends heavily on surrogate…”
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    Conference Proceeding
  18. 18

    Total Synthesis and Metabolic Stability of Hispidulin and Its d-Labelled Derivative by Chen, Liang-Chieh, Hsu, Kai-Cheng, Chiou, Lih-Chu, Tseng, Hui-Ju, Huang, Wei-Jan

    Published in Molecules (Basel, Switzerland) (04-11-2017)
    “…Hispidulin is a naturally occurring flavone known to have various Central nervous system (CNS) activities. Proposed synthetic approaches to synthesizing…”
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    Journal Article
  19. 19

    FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation by Voigtlaender, Paul, Chai, Yuning, Schroff, Florian, Adam, Hartwig, Leibe, Bastian, Chen, Liang-Chieh

    “…Many of the recent successful methods for video object segmentation (VOS) are overly complicated, heavily rely on fine-tuning on the first frame, and/or are…”
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    Conference Proceeding
  20. 20

    A novel dual HDAC and HSP90 inhibitor, MPT0G449, downregulates oncogenic pathways in human acute leukemia in vitro and in vivo by Wu, Yi-Wen, Chao, Min-Wu, Tu, Huang-Ju, Chen, Liang-Chieh, Hsu, Kai-Cheng, Liou, Jing-Ping, Yang, Chia-Ron, Yen, Shih-Chung, HuangFu, Wei-Chun, Pan, Shiow-Lin

    Published in Oncogenesis (New York, NY) (13-05-2021)
    “…Acute leukemia is a highly heterogeneous disease; therefore, combination therapy is commonly used for patient treatment. Drug–drug interaction is a major…”
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    Journal Article