Liang-Chieh Chen

papers

4,092

total citations

papers (19)

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

CVPR 2021arXiv

947

citations

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

ECCV 2020arXiv

789

citations

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

CVPR 2020arXiv

662

citations

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

CVPR 2021arXiv

597

citations

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

NEURIPS 2023arXiv

212

citations

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

CVPR 2021arXiv

165

citations

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

ECCV 2020arXiv

118

citations

ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation

CVPR 2025arXiv

citations

Liang-Chieh Chen

papers (19)

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

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

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

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

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

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

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

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation

View-Invariant Probabilistic Embedding for Human Pose

Waymo Open Dataset: Panoramic Video Panoptic Segmentation

MaskBit: Embedding-free Image Generation via Bit Tokens

ViTamin: Designing Scalable Vision Models in the Vision-Language Era

TubeFormer-DeepLab: Video Mask Transformer

FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching

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

COCONut: Modernizing COCO Segmentation

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation

k-Means Mask Transformer

ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation

papers (19)

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

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

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

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

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

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

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

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation

View-Invariant Probabilistic Embedding for Human Pose

Waymo Open Dataset: Panoramic Video Panoptic Segmentation

MaskBit: Embedding-free Image Generation via Bit Tokens

ViTamin: Designing Scalable Vision Models in the Vision-Language Era

TubeFormer-DeepLab: Video Mask Transformer

FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching

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

COCONut: Modernizing COCO Segmentation

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation

k-Means Mask Transformer

ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation