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Liang-Chieh Chen

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

Achievements

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+13 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (59)
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