Liang-Chieh Chen

Orcid: 0000-0001-8564-374X

According to our database¹, Liang-Chieh Chen authored at least 60 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

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Links

On csauthors.net:

Bibliography

2024

SPFormer: Enhancing Vision Transformer with Superpixel Representation.

[BibT_eX]

[DOI]

CoRR, 2024

PolyMaX: General Dense Prediction with Mask Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Open-Ended Visual Recognition with Large Language Model.

[BibT_eX]

[DOI]

Qihang Yu

Xiaohui Shen

Liang-Chieh Chen

CoRR, 2023

A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision.

[BibT_eX]

[DOI]

CoRR, 2023

Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Superpixel Transformers for Efficient Semantic Segmentation.

[BibT_eX]

[DOI]

IROS, 2023

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

Waymo Open Dataset: Panoramic Video Panoptic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

k-means Mask Transformer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Waymo Open Dataset: Panoramic Video Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TubeFormer-DeepLab: Video Mask Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DeepLab2: A TensorFlow Library for Deep Labeling.

[BibT_eX]

[DOI]

CoRR, 2021

STEP: Segmenting and Tracking Every Pixel.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution.

[BibT_eX]

[DOI]

Siyuan Qiao

Liang-Chieh Chen

Alan L. Yuille

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Scaling Wide Residual Networks for Panoptic Segmentation.

[BibT_eX]

[DOI]

Liang-Chieh Chen

Huiyu Wang

Siyuan Qiao

CoRR, 2020

Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.

[BibT_eX]

[DOI]

Liang-Chieh Chen

Raphael Gontijo Lopes

CoRR, 2020

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

View-Invariant Probabilistic Embedding for Human Pose.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.

[BibT_eX]

[DOI]

Liang-Chieh Chen

Raphael Gontijo Lopes

Proceedings of the Computer Vision - ECCV 2020, 2020

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

The Devil is in the Decoder: Classification, Regression and GANs.

[BibT_eX]

[DOI]

Jasper R. R. Uijlings

Int. J. Comput. Vis., 2019

Panoptic-DeepLab.

[BibT_eX]

[DOI]

CoRR, 2019

DeeperLab: Single-Shot Image Parser.

[BibT_eX]

[DOI]

CoRR, 2019

SegSort: Segmentation by Discriminative Sorting of Segments.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Searching for MobileNetV3.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SPGNet: Semantic Prediction Guidance for Scene Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

MobileNetV2: Inverted Residuals and Linear Bottlenecks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Rethinking Atrous Convolution for Semantic Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2017

The Devil is in the Decoder.

[BibT_eX]

[DOI]

Zbigniew Wojna

Jasper R. R. Uijlings

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Attention to Scale: Scale-Aware Semantic Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Learning Representation for Scene Understanding: Epitomes, CRFs, and CNNs.

[BibT_eX]

[DOI]

Liang-Chieh Chen

PhD thesis, 2015

Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net.

[BibT_eX]

[DOI]

CoRR, 2015

Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2015

ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2015

Learning Deep Structured Models.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Modeling Image Patches with a Generic Dictionary of Mini-epitomes.

[BibT_eX]

[DOI]

George Papandreou

Liang-Chieh Chen

Alan L. Yuille

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision.

[BibT_eX]

[DOI]

Liang-Chieh Chen

Sanja Fidler

Raquel Urtasun

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Learning a Dictionary of Shape Epitomes with Applications to Image Labeling.

[BibT_eX]

[DOI]

Liang-Chieh Chen

George Papandreou

Alan L. Yuille

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Prediction-based outlier detection with explanations.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Liang-Chieh Chen

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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