Prediction-based outlier detection with explanations. - Liang-Chieh Chen; Tsung-Ting Kuo; Wei-Chi Lai; Shou-De Lin; Chi-Hung Tsai (GrC, 2012)

Learning a Dictionary of Shape Epitomes with Applications to Image Labeling. - Liang-Chieh Chen; George Papandreou; Alan L. Yuille (ICCV, 2013)

Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision. - Liang-Chieh Chen; Sanja Fidler; Raquel Urtasun (CVPR, 2014)

Modeling Image Patches with a Generic Dictionary of Mini-epitomes. - George Papandreou; Liang-Chieh Chen; Alan L. Yuille (CVPR, 2014)

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 (ICCV, 2015)

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. - Liang-Chieh Chen; George Papandreou; Iasonas Kokkinos; Kevin Murphy 002; Alan L. Yuille (ICLR (Poster), 2015)

Learning Deep Structured Models. - Liang-Chieh Chen; Alexander G. Schwing; Alan L. Yuille; Raquel Urtasun (ICLR (Workshop), 2015)

ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering. - Kan Chen; Jiang Wang 001; Liang-Chieh Chen; Haoyuan Gao; Wei Xu 017; Ram Nevatia (CoRR, 2015)

Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. - George Papandreou; Liang-Chieh Chen; Kevin Murphy 002; Alan L. Yuille (CoRR, 2015)

Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net. - Fangting Xia; Peng Wang 001; Liang-Chieh Chen; Alan L. Yuille (CoRR, 2015)

Learning Representation for Scene Understanding: Epitomes, CRFs, and CNNs. - Liang-Chieh Chen (2015)

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 002; Alan L. Yuille (CVPR, 2016)

Attention to Scale: Scale-Aware Semantic Image Segmentation. - Liang-Chieh Chen; Yi Yang 007; Jiang Wang 001; Wei Xu 017; Alan L. Yuille (CVPR, 2016)

Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net. - Fangting Xia; Peng Wang 001; Liang-Chieh Chen; Alan L. Yuille (ECCV (5), 2016)

The Devil is in the Decoder. - Zbigniew Wojna; Jasper R. R. Uijlings; Sergio Guadarrama; Nathan Silberman; Liang-Chieh Chen; Alireza Fathi; Vittorio Ferrari (BMVC, 2017)

Rethinking Atrous Convolution for Semantic Image Segmentation. - Liang-Chieh Chen; George Papandreou; Florian Schroff; Hartwig Adam (CoRR, 2017)

MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features. - Liang-Chieh Chen; Alexander Hermans; George Papandreou; Florian Schroff; Peng Wang 001; Hartwig Adam (CVPR, 2018)

MobileNetV2: Inverted Residuals and Linear Bottlenecks. - Mark Sandler 002; Andrew G. Howard; Menglong Zhu; Andrey Zhmoginov; Liang-Chieh Chen (CVPR, 2018)

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. - Liang-Chieh Chen; Yukun Zhu; George Papandreou; Florian Schroff; Hartwig Adam (ECCV (7), 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 002 (ECCV (14), 2018)

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. - Liang-Chieh Chen; Maxwell D. Collins; Yukun Zhu; George Papandreou; Barret Zoph; Florian Schroff; Hartwig Adam; Jonathon Shlens (NeurIPS, 2018)

Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation. - Mark Sandler 002; Andrew G. Howard; Menglong Zhu; Andrey Zhmoginov; Liang-Chieh Chen (CoRR, 2018)

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. - Liang-Chieh Chen; George Papandreou; Iasonas Kokkinos; Kevin Murphy 002; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. - Chenxi Liu 001; Liang-Chieh Chen; Florian Schroff; Hartwig Adam; Wei Hua; Alan L. Yuille; Li Fei-Fei 001 (CVPR, 2019)

FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation. - Paul Voigtlaender; Yuning Chai; Florian Schroff; Hartwig Adam; Bastian Leibe; Liang-Chieh Chen (CVPR, 2019)

SPGNet: Semantic Prediction Guidance for Scene Parsing. - Bowen Cheng; Liang-Chieh Chen; Yunchao Wei; Yukun Zhu; Zilong Huang; Jinjun Xiong; Thomas S. Huang; Wen-Mei Hwu; Honghui Shi (ICCV, 2019)

Searching for MobileNetV3. - Andrew Howard 002; Ruoming Pang; Hartwig Adam; Quoc V. Le; Mark Sandler 002; Bo Chen 019; Weijun Wang; Liang-Chieh Chen; Mingxing Tan; Grace Chu; Vijay Vasudevan; Yukun Zhu (ICCV, 2019)

SegSort: Segmentation by Discriminative Sorting of Segments. - Jyh-Jing Hwang; Stella X. Yu; Jianbo Shi; Maxwell D. Collins; Tien-Ju Yang; Xiao Zhang; Liang-Chieh Chen (ICCV, 2019)

DeeperLab: Single-Shot Image Parser. - Tien-Ju Yang; Maxwell D. Collins; Yukun Zhu; Jyh-Jing Hwang; Ting Liu 005; Xiao Zhang; Vivienne Sze; George Papandreou; Liang-Chieh Chen (CoRR, 2019)

Panoptic-DeepLab. - Bowen Cheng; Maxwell D. Collins; Yukun Zhu; Ting Liu 005; Thomas S. Huang; Hartwig Adam; Liang-Chieh Chen (CoRR, 2019)

The Devil is in the Decoder: Classification, Regression and GANs. - Zbigniew Wojna; Vittorio Ferrari; Sergio Guadarrama; Nathan Silberman; Liang-Chieh Chen; Alireza Fathi; Jasper R. R. Uijlings (Int. J. Comput. Vis., 2019)

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. - Bowen Cheng; Maxwell D. Collins; Yukun Zhu; Ting Liu 005; Thomas S. Huang; Hartwig Adam; Liang-Chieh Chen (CVPR, 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 (9), 2020)

View-Invariant Probabilistic Embedding for Human Pose. - Jennifer J. Sun; Jiaping Zhao; Liang-Chieh Chen; Florian Schroff; Hartwig Adam; Ting Liu 005 (ECCV (5), 2020)

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. - Huiyu Wang; Yukun Zhu; Bradley Green; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (ECCV (4), 2020)

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 (CoRR, 2020)

Scaling Wide Residual Networks for Panoptic Segmentation. - Liang-Chieh Chen; Huiyu Wang; Siyuan Qiao (CoRR, 2020)

DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution. - Siyuan Qiao; Liang-Chieh Chen; Alan L. Yuille (CVPR, 2021)

VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation. - Siyuan Qiao; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2021)

MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. - Huiyu Wang; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2021)

STEP: Segmenting and Tracking Every Pixel. - Mark Weber; Jun Xie; Maxwell D. Collins; Yukun Zhu; Paul Voigtlaender; Hartwig Adam; Bradley Green; Andreas Geiger 001; Bastian Leibe; Daniel Cremers; Aljosa Osep; Laura Leal-Taixé; et al. (NeurIPS Datasets and Benchmarks, 2021)

DeepLab2: A TensorFlow Library for Deep Labeling. - Mark Weber; Huiyu Wang; Siyuan Qiao; Jun Xie; Maxwell D. Collins; Yukun Zhu; Liangzhe Yuan; Dahun Kim; Qihang Yu; Daniel Cremers; Laura Leal-Taixé; Alan L. Yuille; et al. (CoRR, 2021)

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 (CVPR, 2022)

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. - Qihang Yu; Huiyu Wang; Dahun Kim; Siyuan Qiao; Maxwell D. Collins; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2022)

Waymo Open Dataset: Panoramic Video Panoptic Segmentation. - Jieru Mei; Alex Zihao Zhu; Xinchen Yan; Hang Yan 002; Siyuan Qiao; Liang-Chieh Chen; Henrik Kretzschmar (ECCV (29), 2022)

k-means Mask Transformer. - Qihang Yu; Huiyu Wang; Siyuan Qiao; Maxwell D. Collins; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (ECCV (29), 2022)

Waymo Open Dataset: Panoramic Video Panoptic Segmentation. - Jieru Mei; Alex Zihao Zhu; Xinchen Yan; Hang Yan 002; Siyuan Qiao; Yukun Zhu; Liang-Chieh Chen; Henrik Kretzschmar; Dragomir Anguelov (CoRR, 2022)

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. - Ting Liu 005; Jennifer J. Sun; Long Zhao 003; Jiaping Zhao; Liangzhe Yuan; Yuxiao Wang 001; Liang-Chieh Chen; Florian Schroff; Hartwig Adam (Int. J. Comput. Vis., 2022)

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. - Chenglin Yang; Siyuan Qiao; Qihang Yu; Xiaoding Yuan; Yukun Zhu; Alan L. Yuille; Hartwig Adam; Liang-Chieh Chen (ICLR, 2023)

Superpixel Transformers for Efficient Semantic Segmentation. - Alex Zihao Zhu; Jieru Mei; Siyuan Qiao; Hang Yan 002; Yukun Zhu; Liang-Chieh Chen; Henrik Kretzschmar (IROS, 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 (NeurIPS, 2023)

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation. - Shuyang Sun; Weijun Wang; Andrew G. Howard; Qihang Yu; Philip H. S. Torr; 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)

A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision. - Lucas Beyer; Bo Wan; Gagan Madan; Filip Pavetic; Andreas Steiner 001; Alexander Kolesnikov 003; André Susano Pinto; Emanuele Bugliarello; Xiao Wang 038; Qihang Yu; Liang-Chieh Chen; Xiaohua Zhai (CoRR, 2023)

Towards Open-Ended Visual Recognition with Large Language Model. - Qihang Yu; Xiaohui Shen; Liang-Chieh Chen (CoRR, 2023)

MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation. - Ju He; Qihang Yu; Inkyu Shin; Xueqing Deng; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2023)

ViTamin: Designing Scalable Vision Models in the Vision-Language Era. - Jieneng Chen; Qihang Yu; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2024)

COCONut: Modernizing COCO Segmentation. - Xueqing Deng; Qihang Yu; Peng Wang; Xiaohui Shen; Liang-Chieh Chen (CVPR, 2024)

Towards Open-Ended Visual Recognition with Large Language Models. - Qihang Yu; Xiaohui Shen; Liang-Chieh Chen (ECCV (14), 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 (NeurIPS, 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)

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 (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 (WACV, 2024)

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models. - Qihao Liu; Zhanpeng Zeng; Ju He; Qihang Yu; Xiaohui Shen; Liang-Chieh Chen (CoRR, 2024)

Randomized Autoregressive Visual Generation. - Qihang Yu; Ju He; Xueqing Deng; Xiaohui Shen; Liang-Chieh Chen (CoRR, 2024)

FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching. - Sucheng Ren; Qihang Yu; Ju He; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2024)

1.58-bit FLUX. - Chenglin Yang; Celong Liu; Xueqing Deng; Dongwon Kim; Xing Mei; Xiaohui Shen; Liang-Chieh Chen (CoRR, 2024)

A Simple Video Segmenter by Tracking Objects Along Axial Trajectories. - Ju He; Qihang Yu; Inkyu Shin; Xueqing Deng; Alan L. Yuille; Xiaohui Shen; Liang-Chieh Chen (Trans. Mach. Learn. Res., 2024)

MaskBit: Embedding-free Image Generation via Bit Tokens. - Mark Weber; Lijun Yu; Qihang Yu; Xueqing Deng; Xiaohui Shen; Daniel Cremers; Liang-Chieh Chen (Trans. Mach. Learn. Res., 2024)

ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation. - Ali Athar; Xueqing Deng; Liang-Chieh Chen (CVPR, 2025)

SPFormer: Enhancing Vision Transformer with Superpixel Representation. - Jieru Mei; Liang-Chieh Chen; Alan L. Yuille; Cihang Xie (Trans. Mach. Learn. Res., 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 (Trans. Mach. Learn. Res., 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 (CoRR, 2025)

COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation. - Xueqing Deng; Qihang Yu; Ali Athar; Chenglin Yang; Linjie Yang; Xiaojie Jin; Xiaohui Shen; Liang-Chieh Chen (CoRR, 2025)

Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation. - Sucheng Ren; Qihang Yu; Ju He; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2025)

FlowTok: Flowing Seamlessly Across Text and Image Tokens. - Ju He; Qihang Yu; Qihao Liu; Liang-Chieh Chen (CoRR, 2025)

Deeply Supervised Flow-Based Generative Models. - Inkyu Shin; Chenglin Yang; Liang-Chieh Chen (CoRR, 2025)

ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction. - Qihao Liu; Ju He; Qihang Yu; Liang-Chieh Chen; Alan L. Yuille (CoRR, 2025)

Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers. - Sucheng Ren; Qihang Yu; Ju He; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2025)