Chen, Liang-Chieh

49 publications

TMLR 2026 ReVision: Refining Video Diffusion with Explicit 3D Motion Modeling Qihao Liu, Ju He, Qihang Yu, Liang-Chieh Chen, Alan Yuille
ICCV 2025 Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan Yuille, Liang-Chieh Chen
NeurIPS 2025 COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation Xueqing Deng, Linjie Yang, Qihang Yu, Ali Athar, Chenglin Yang, Xiaojie Jin, Xiaohui Shen, Liang-Chieh Chen
ICCV 2025 Deeply Supervised Flow-Based Generative Models Inkyu Shin, Chenglin Yang, Liang-Chieh Chen
ICCV 2025 Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens Dongwon Kim, Ju He, Qihang Yu, Chenglin Yang, Xiaohui Shen, Suha Kwak, Liang-Chieh Chen
TMLR 2025 Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting Inkyu Shin, Qihang Yu, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
ICML 2025 FlowAR: Scale-Wise Autoregressive Image Generation Meets Flow Matching Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan Yuille, Liang-Chieh Chen
ICCV 2025 FlowTok: Flowing Seamlessly Across Text and Image Tokens Ju He, Qihang Yu, Qihao Liu, Liang-Chieh Chen
ICCV 2025 Leveraging Panoptic Scene Graph for Evaluating Fine-Grained Text-to-Image Generation Xueqing Deng, Linjie Yang, Qihang Yu, Chenglin Yang, Liang-Chieh Chen
ICCV 2025 Randomized Autoregressive Visual Generation Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
TMLR 2025 SPFormer: Enhancing Vision Transformer with Superpixel Representation Jieru Mei, Liang-Chieh Chen, Alan Yuille, Cihang Xie
CVPR 2025 ViCaS: A Dataset for Combining Holistic and Pixel-Level Video Understanding Using Captions with Grounded Segmentation Ali Athar, Xueqing Deng, Liang-Chieh Chen
TMLR 2024 A Simple Video Segmenter by Tracking Objects Along Axial Trajectories Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan Yuille, Xiaohui Shen, Liang-Chieh Chen
NeurIPS 2024 Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
NeurIPS 2024 An Image Is Worth 32 Tokens for Reconstruction and Generation Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
CVPR 2024 COCONut: Modernizing COCO Segmentation Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen
TMLR 2024 MaskBit: Embedding-Free Image Generation via Bit Tokens Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
WACV 2024 MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li
WACV 2024 PolyMaX: General Dense Prediction with Mask Transformer Xuan Yang, Liangzhe Yuan, Kimberly Wilber, Astuti Sharma, Xiuye Gu, Siyuan Qiao, Stephanie Debats, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Liang-Chieh Chen
ECCV 2024 Towards Open-Ended Visual Recognition with Large Language Models Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
CVPR 2024 ViTamin: Designing Scalable Vision Models in the Vision-Language Era Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan Yuille, Liang-Chieh Chen
WACV 2024 Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
NeurIPS 2023 Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
NeurIPS 2023 DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
ICLR 2023 MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan Yuille, Hartwig Adam, Liang-Chieh Chen
NeurIPS 2023 ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation Shuyang Sun, Weijun Wang, Andrew Howard, Qihang Yu, Philip Torr, Liang-Chieh Chen
CVPR 2022 CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
ECCV 2022 K-Means Mask Transformer Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
CVPR 2022 TubeFormer-DeepLab: Video Mask Transformer Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In So Kweon, Liang-Chieh Chen
ECCV 2022 Waymo Open Dataset: Panoramic Video Panoptic Segmentation Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar
CVPR 2021 DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution Siyuan Qiao, Liang-Chieh Chen, Alan Yuille
CVPR 2021 MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
CVPR 2021 VIP-DeepLab: Learning Visual Perception with Depth-Aware Video Panoptic Segmentation Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
ECCV 2020 Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
ECCV 2020 Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
ECCV 2020 View-Invariant Probabilistic Embedding for Human Pose Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu
ECCV 2018 Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam
ECCV 2018 PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-up, Part-Based, Geometric Embedding Model George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
NeurIPS 2018 Searching for Efficient Multi-Scale Architectures for Dense Image Prediction Liang-Chieh Chen, Maxwell Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jon Shlens
CVPR 2016 Attention to Scale: Scale-Aware Semantic Image Segmentation Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille
CVPR 2016 Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille
ECCV 2016 Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan L. Yuille
ICML 2015 Learning Deep Structured Models Liang-Chieh Chen, Alexander Schwing, Alan Yuille, Raquel Urtasun
ICLR 2015 Learning Deep Structured Models Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun
ICLR 2015 Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
ICCV 2015 Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille
CVPR 2014 Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision Liang-Chieh Chen, Sanja Fidler, Alan L. Yuille, Raquel Urtasun
CVPR 2014 Modeling Image Patches with a Generic Dictionary of Mini-Epitomes George Papandreou, Liang-Chieh Chen, Alan L. Yuille
ICCV 2013 Learning a Dictionary of Shape Epitomes with Applications to Image Labeling Liang-Chieh Chen, George Papandreou, Alan L. Yuille