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Liang-Chieh Chen

50 papers · 2013–2026 · 7 venues · across top CS/AI venues

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (57) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (19) 🀝 Dynamic Duo (20) 🧬 Topic Evolution πŸ† Keyword Champion (9) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (169) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Silver πŸš€ Conference Pioneer

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