Liang-Chieh Chen
50 papers · 2013–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (57) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(19)
π€
Dynamic Duo
(20)
π§¬
Topic Evolution
π
Keyword Champion
(9)
π
Trend Setter
ποΈ
Keyword Collector
(169)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Silver
π
Conference Pioneer
Top co-authors
Research topics
Computer Vision
(33)
Deep Learning
(26)
Analysis
(23)
Machine Learning
(17)
Architectures
(16)
Models
(12)
Processing
(12)
Artificial Intelligence
(9)
Core Methods
(9)
Generation
(9)
Learning Types Β· Deep Learning
(9)
Core AI
(7)
Techniques
(7)
Application Areas
(6)
Learning Types Β· Machine Learning
(5)
Keywords
semantic segmentation
(22)
panoptic segmentation
(9)
instance segmentation
(9)
object detection
(8)
mask transformer
(5)
flow matching
(4)
convolutional neural network
(4)
image generation
(4)
transformer architecture
(4)
semantic image segmentation
(3)
neural architecture search
(3)
unsupervised learning
(3)
representation learning
(3)
text-to-image generation
(3)
depth estimation
(3)
video panoptic segmentation
(3)
diffusion model
(3)
generative model
(3)
image classification
(2)
video understanding
(2)
Papers
A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens
CVPR 2026
Frequency-Aware Flow Matching for High-Quality Image Generation
CVPR 2026
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
ICCV 2025
Deeply Supervised Flow-Based Generative Models
ICCV 2025
Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens
ICCV 2025
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching
ICML 2025
FlowTok: Flowing Seamlessly Across Text and Image Tokens
ICCV 2025
Leveraging Panoptic Scene Graph for Evaluating Fine-Grained Text-to-Image Generation
ICCV 2025
Randomized Autoregressive Visual Generation
ICCV 2025
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation
CVPR 2025
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization
NeurIPS 2024
An Image is Worth 32 Tokens for Reconstruction and Generation
NeurIPS 2024
COCONut: Modernizing COCO Segmentation
CVPR 2024
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation
WACV 2024
PolyMaX: General Dense Prediction With Mask Transformer
WACV 2024
Towards Open-Ended Visual Recognition with Large Language Models
ECCV 2024
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation
WACV 2024
ViTamin: Designing Scalable Vision Models in the Vision-Language Era
CVPR 2024
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
NeurIPS 2023
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
NeurIPS 2023
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models
ICLR 2023
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation
NeurIPS 2023
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
CVPR 2022
k-Means Mask Transformer
ECCV 2022
TubeFormer-DeepLab: Video Mask Transformer
CVPR 2022
Waymo Open Dataset: Panoramic Video Panoptic Segmentation
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
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
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
CVPR 2020
View-Invariant Probabilistic Embedding for Human Pose
ECCV 2020
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
Searching for MobileNetV3
ICCV 2019
SegSort: Segmentation by Discriminative Sorting of Segments
ICCV 2019
SPGNet: Semantic Prediction Guidance for Scene Parsing
ICCV 2019
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
ECCV 2018
MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features
CVPR 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
CVPR 2018
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
ECCV 2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
NeurIPS 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
Learning Deep Structured Models
ICML 2015
Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation
ICCV 2015
Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision
CVPR 2014
Modeling Image Patches with a Generic Dictionary of Mini-Epitomes
CVPR 2014
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling
ICCV 2013