Liangwei Chen
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Liangwei Chencomputer-science Degrees
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Computer Science
Liangwei Chen's Degrees
- PhD Computer Science University of California, Berkeley
- Masters Computer Science University of California, Berkeley
- Bachelors Computer Science Peking University
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(Suggest an Edit or Addition)Liangwei Chen's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (2016) (12399)
- MobileNetV2: Inverted Residuals and Linear Bottlenecks (2018) (10902)
- Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation (2018) (7012)
- Rethinking Atrous Convolution for Semantic Image Segmentation (2017) (5476)
- Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs (2014) (3967)
- Searching for MobileNetV3 (2019) (2941)
- Attention to Scale: Scale-Aware Semantic Image Segmentation (2015) (1138)
- Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation (2018) (758)
- Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation (2015) (737)
- Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation (2019) (735)
- PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model (2018) (415)
- Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation (2015) (400)
- Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation (2020) (386)
- DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution (2020) (350)
- Searching for Efficient Multi-Scale Architectures for Dense Image Prediction (2018) (337)
- Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation (2019) (335)
- Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform (2015) (322)
- MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features (2017) (298)
- FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation (2019) (292)
- MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers (2020) (282)
- ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering (2015) (238)
- Learning Deep Structured Models (2014) (237)
- Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net (2015) (156)
- DeeperLab: Single-Shot Image Parser (2019) (135)
- Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation (2020) (121)
- SPGNet: Semantic Prediction Guidance for Scene Parsing (2019) (90)
- SegSort: Segmentation by Discriminative Sorting of Segments (2019) (87)
- Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision (2014) (86)
- Searching for MobileNetV 3 (2019) (80)
- ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation (2020) (73)
- The Devil is in the Decoder (2017) (69)
- The Devil is in the Decoder: Classification, Regression and GANs (2017) (52)
- View-Invariant Probabilistic Embedding for Human Pose (2019) (48)
- Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net (2015) (35)
- STEP: Segmenting and Tracking Every Pixel (2021) (33)
- Scaling Wide Residual Networks for Panoptic Segmentation (2020) (28)
- Panoptic-DeepLab (2019) (26)
- k-means Mask Transformer (2022) (26)
- CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation (2022) (24)
- Learning a Dictionary of Shape Epitomes with Applications to Image Labeling (2013) (17)
- Modeling Image Patches with a Generic Dictionary of Mini-epitomes (2014) (17)
- DeepLab2: A TensorFlow Library for Deep Labeling (2021) (16)
- TubeFormer-DeepLab: Video Mask Transformer (2022) (13)
- Waymo Open Dataset: Panoramic Video Panoptic Segmentation (2022) (8)
- Unsupervised Feature Selection: Minimize Information Redundancy of Features (2010) (6)
- MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models (2022) (6)
- View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose (2020) (5)
- M3Video: Masked Motion Modeling for Self-Supervised Video Representation Learning (2022) (3)
- Prediction-based outlier detection with explanations (2012) (2)
- The Devil is in the Decoders (2017) (2)
- Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation (2023) (1)
- The Devil is in the Decoder: Classification, Regression and GANs (2019) (0)
- View-Invariant Probabilistic Embedding for Human Pose Supplementary Materials (2020) (0)
- Supplementary Materials SPGNet: Semantic Prediction Guidance for Scene Parsing (2019) (0)
- Appendix for k -means Mask Transformer (2022) (0)
- Learning Representation for Scene Understanding: Epitomes, CRFs, and CNNs (2015) (0)
- A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision (2023) (0)
- Masked Motion Encoding for Self-Supervised Video Representation Learning (2022) (0)
- View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose (2021) (0)
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