← Authors

Liang-Chieh Chen

48 papers · 2013–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (59) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”¬ Deep Specialist (12) 🀝 Dynamic Duo (18) 🧬 Topic Evolution πŸ† Keyword Champion (9) πŸš€ Conference Pioneer πŸ’Ž Century Club (48) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (154) πŸ“ˆ Trend Setter ⚑ Prolific Year (8)

Conferences

CVPR (17) ICCV (11) ECCV (8) NIPS (6) WACV (3) ICML (2) ICLR (1)

Top co-authors

Qihang Yu (18) Hartwig Adam (17) Yukun Zhu (12) Alan Yuille (11) Xiaohui Shen (10) George Papandreou (8) Siyuan Qiao (8) Ju He (7) Alan L. Yuille (7) Xueqing Deng (6)

Keywords

semantic segmentation (21) instance segmentation (9) panoptic segmentation (9) object detection (8) mask transformer (5) convolutional neural network (4) transformer architecture (4) generative model (3) unsupervised learning (3) text-to-image generation (3) representation learning (3) neural architecture search (3) semantic image segmentation (3) depth estimation (3) image generation (3) video panoptic segmentation (3) flow matching (2) deep learning (2) image segmentation (2) scene parsing (2)

Papers

FlowTok: Flowing Seamlessly Across Text and Image Tokens ICCV 2025
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation CVPR 2025
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching ICML 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation ICCV 2025
Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens ICCV 2025
Leveraging Panoptic Scene Graph for Evaluating Fine-Grained Text-to-Image Generation ICCV 2025
Randomized Autoregressive Visual Generation ICCV 2025
Deeply Supervised Flow-Based Generative Models ICCV 2025
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation WACV 2024
Towards Open-Ended Visual Recognition with Large Language Models ECCV 2024
COCONut: Modernizing COCO Segmentation CVPR 2024
ViTamin: Designing Scalable Vision Models in the Vision-Language Era CVPR 2024
An Image is Worth 32 Tokens for Reconstruction and Generation NIPS 2024
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization NIPS 2024
PolyMaX: General Dense Prediction With Mask Transformer WACV 2024
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation WACV 2024
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP NIPS 2023
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model NIPS 2023
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation NIPS 2023
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models ICLR 2023
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation CVPR 2022
TubeFormer-DeepLab: Video Mask Transformer CVPR 2022
Waymo Open Dataset: Panoramic Video Panoptic Segmentation ECCV 2022
k-Means Mask Transformer ECCV 2022
DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution CVPR 2021
MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers CVPR 2021
VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation CVPR 2021
View-Invariant Probabilistic Embedding for Human Pose ECCV 2020
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation CVPR 2020
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation ECCV 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation ECCV 2020
Searching for MobileNetV3 ICCV 2019
SegSort: Segmentation by Discriminative Sorting of Segments ICCV 2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation CVPR 2019
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation CVPR 2019
SPGNet: Semantic Prediction Guidance for Scene Parsing ICCV 2019
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation ECCV 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks CVPR 2018
MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features CVPR 2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction NIPS 2018
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model ECCV 2018
Attention to Scale: Scale-Aware Semantic Image Segmentation CVPR 2016
Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform CVPR 2016
Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation ICCV 2015
Learning Deep Structured Models ICML 2015
Modeling Image Patches with a Generic Dictionary of Mini-Epitomes CVPR 2014
Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision CVPR 2014
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling ICCV 2013