Liang-Chieh Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
9
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation. | Ali Athar, Xueqing Deng, Liang-Chieh Chen |
| 2025 | ICCV | Leveraging Panoptic Scene Graph for Evaluating Fine-Grained Text-to-Image Generation. | Xueqing Deng, Linjie Yang, Qihang Yu, Chenglin Yang, Liang-Chieh Chen |
| 2025 | ICCV | FlowTok: Flowing Seamlessly Across Text and Image Tokens. | Ju He, Qihang Yu, Qihao Liu, Liang-Chieh Chen |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation. | Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen |
| 2025 | ICCV | Deeply Supervised Flow-Based Generative Models. | Inkyu Shin, Chenglin Yang, Liang-Chieh Chen |
| 2025 | ICCV | Randomized Autoregressive Visual Generation. | Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen |
| 2025 | ICML | FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching. | Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen |
| 2024 | CVPR | ViTamin: Designing Scalable Vision Models in the Vision-Language Era. | Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen |
| 2024 | CVPR | COCONut: Modernizing COCO Segmentation. | Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen |
| 2024 | ECCV | Towards Open-Ended Visual Recognition with Large Language Models. | Qihang Yu, Xiaohui Shen, Liang-Chieh Chen |
| 2024 | WACV | 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 |
| 2024 | WACV | 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 |
| 2024 | WACV | 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 |
| 2023 | ICLR | 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 |
| 2023 | IROS | Superpixel Transformers for Efficient Semantic Segmentation. | Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar |
| 2022 | CVPR | 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 |
| 2022 | CVPR | 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 |
| 2022 | ECCV | Waymo Open Dataset: Panoramic Video Panoptic Segmentation. | Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, Henrik Kretzschmar |
| 2022 | ECCV | k-means Mask Transformer. | Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2021 | CVPR | DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution. | Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille |
| 2021 | CVPR | VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation. | Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2021 | CVPR | MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. | Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2020 | CVPR | Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. | Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen |
| 2020 | ECCV | 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 |
| 2020 | ECCV | View-Invariant Probabilistic Embedding for Human Pose. | Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu |
| 2020 | ECCV | Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. | Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2019 | CVPR | Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. | Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei |
| 2019 | CVPR | FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation. | Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen |
| 2019 | ICCV | 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 |
| 2019 | ICCV | Searching for MobileNetV3. | Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu |
| 2019 | ICCV | 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 |
| 2018 | CVPR | MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features. | Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam |
| 2018 | CVPR | MobileNetV2: Inverted Residuals and Linear Bottlenecks. | Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen |
| 2018 | ECCV | Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. | Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam |
| 2018 | ECCV | 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 |
| 2017 | BMVC | The Devil is in the Decoder. | Zbigniew Wojna, Jasper R. R. Uijlings, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Vittorio Ferrari |
| 2016 | CVPR | 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 |
| 2016 | CVPR | Attention to Scale: Scale-Aware Semantic Image Segmentation. | Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille |
| 2016 | ECCV | Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net. | Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan L. Yuille |
| 2015 | ICCV | 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 |
| 2015 | ICML | Learning Deep Structured Models. | Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun |
| 2014 | CVPR | Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision. | Liang-Chieh Chen, Sanja Fidler, Raquel Urtasun |
| 2014 | CVPR | Modeling Image Patches with a Generic Dictionary of Mini-epitomes. | George Papandreou, Liang-Chieh Chen, Alan L. Yuille |
| 2013 | ICCV | Learning a Dictionary of Shape Epitomes with Applications to Image Labeling. | Liang-Chieh Chen, George Papandreou, Alan L. Yuille |
| 2012 | GRC | Prediction-based outlier detection with explanations. | Liang-Chieh Chen, Tsung-Ting Kuo, Wei-Chi Lai, Shou-De Lin, Chi-Hung Tsai |