Regional Interactive Image Segmentation Networks. - Jun Hao Liew; Yunchao Wei; Wei Xiong 001; Sim Heng Ong; Jiashi Feng (ICCV, 2017)

Focus, Segment and Erase: An Efficient Network for Multi-label Brain Tumor Segmentation. - Xuan Chen; Jun Hao Liew; Wei Xiong 001; Chee-Kong Chui; Sim Heng Ong (ECCV (13), 2018)

MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input. - Jun Hao Liew; Scott Cohen; Brian L. Price; Long Mai; Sim Heng Ong; Jiashi Feng (ICCV, 2019)

PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. - Kaixin Wang; Jun Hao Liew; Yingtian Zou; Daquan Zhou; Jiashi Feng (ICCV, 2019)

Deep Reasoning with Multi-scale Context for Salient Object Detection. - Zun Li 001; Congyan Lang; Yunpeng Chen; Jun Hao Liew; Jiashi Feng (CoRR, 2019)

Classification Calibration for Long-tail Instance Segmentation. - Tao Wang 053; Yu Li 016; Bingyi Kang; Junnan Li 001; Jun Hao Liew; Sheng Tang; Steven C. H. Hoi; Jiashi Feng (CoRR, 2019)

Interactive Object Segmentation With Inside-Outside Guidance. - Shiyin Zhang; Jun Hao Liew; Yunchao Wei; Shikui Wei; Yao Zhao 001 (CVPR, 2020)

The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. - Tao Wang 053; Yu Li 016; Bingyi Kang; Junnan Li 001; Jun Hao Liew; Sheng Tang; Steven C. H. Hoi; Jiashi Feng (ECCV (14), 2020)

Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs. - Lile Cai; Xun Xu 002; Jun Hao Liew; Chuan Sheng Foo (CVPR, 2021)

Body Meshes as Points. - Jianfeng Zhang; Dongdong Yu; Jun Hao Liew; Xuecheng Nie; Jiashi Feng (CVPR, 2021)

Deep Interactive Thin Object Selection. - Jun Hao Liew; Scott Cohen; Brian L. Price; Long Mai; Jiashi Feng (WACV, 2021)

DANCE : A Deep Attentive Contour Model for Efficient Instance Segmentation. - Zichen Liu; Jun Hao Liew; Xiangyu Chen; Jiashi Feng (WACV, 2021)

Cross-Layer Feature Pyramid Network for Salient Object Detection. - Zun Li 001; Congyan Lang; Jun Hao Liew; Yidong Li; Qibin Hou; Jiashi Feng (IEEE Trans. Image Process., 2021)

Slim Scissors: Segmenting Thin Object from Synthetic Background. - Kunyang Han; Jun Hao Liew; Jiashi Feng; Huawei Tian; Yao Zhao 001; Yunchao Wei (ECCV (29), 2022)

SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations. - Tao Wang 053; Jun Hao Liew; Yu Li 016; Yunpeng Chen; Jiashi Feng (CoRR, 2022)

MagicMix: Semantic Mixing with Diffusion Models. - Jun Hao Liew; Hanshu Yan; Daquan Zhou; Jiashi Feng (CoRR, 2022)

SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation. - Tao Wang 053; Jun Hao Liew; Yu Li 016; Yunpeng Chen; Jiashi Feng (IEEE Trans. Image Process., 2022)

Global Knowledge Calibration for Fast Open-Vocabulary Segmentation. - Kunyang Han; Yong Liu 033; Jun Hao Liew; Henghui Ding; Jiajun Liu; Yitong Wang; Yansong Tang; Yujiu Yang; Jiashi Feng; Yao Zhao 001; Yunchao Wei (ICCV, 2023)

PV3D: A 3D Generative Model for Portrait Video Generation. - Eric Zhongcong Xu; Jianfeng Zhang; Jun Hao Liew; Wenqing Zhang; Song Bai 001; Jiashi Feng; Mike Zheng Shou (ICLR, 2023)

SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process. - Mengyu Wang 003; Henghui Ding; Jun Hao Liew; Jiajun Liu; Yao Zhao 001; Yunchao Wei (NeurIPS, 2023)

Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. - Dapeng Hu; Jian Liang 001; Jun Hao Liew; Chuhui Xue; Song Bai 001; Xinchao Wang (NeurIPS, 2023)

XAGen: 3D Expressive Human Avatars Generation. - Zhongcong Xu; Jianfeng Zhang; Jun Hao Liew; Jiashi Feng; Mike Zheng Shou (NeurIPS, 2023)

Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation. - Yabo Zhang; Zihao Wang; Jun Hao Liew; Jingjia Huang; Manyu Zhu; Jiashi Feng; Wangmeng Zuo (CoRR, 2023)

Delving Deeper into Data Scaling in Masked Image Modeling. - Cheng-Ze Lu; Xiaojie Jin; Qibin Hou; Jun Hao Liew; Ming-Ming Cheng; Jiashi Feng (CoRR, 2023)

MagicAvatar: Multimodal Avatar Generation and Animation. - Jianfeng Zhang; Hanshu Yan; Zhongcong Xu; Jiashi Feng; Jun Hao Liew (CoRR, 2023)

MagicEdit: High-Fidelity and Temporally Coherent Video Editing. - Jun Hao Liew; Hanshu Yan; Jianfeng Zhang; Zhongcong Xu; Jiashi Feng (CoRR, 2023)

MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation. - Hanshu Yan; Jun Hao Liew; Long Mai; Shanchuan Lin; Jiashi Feng (CoRR, 2023)

Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method. - Jiachun Pan; Hanshu Yan; Jun Hao Liew; Jiashi Feng; Vincent Y. F. Tan (CoRR, 2023)

Interactive Object Segmentation With Inside-Outside Guidance. - Shiyin Zhang; Shikui Wei; Jun Hao Liew; Kunyang Han; Yao Zhao 001; Yunchao Wei (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing. - Yujun Shi; Chuhui Xue; Jun Hao Liew; Jiachun Pan; Hanshu Yan; Wenqing Zhang; Vincent Y. F. Tan; Song Bai 001 (CVPR, 2024)

MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. - Zhongcong Xu; Jianfeng Zhang; Jun Hao Liew; Hanshu Yan; Jia-Wei Liu; Chenxu Zhang; Jiashi Feng; Mike Zheng Shou (CVPR, 2024)

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. - Jiachun Pan; Jun Hao Liew; Vincent Y. F. Tan; Jiashi Feng; Hanshu Yan (ICLR, 2024)

PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. - Hanshu Yan; Xingchao Liu; Jiachun Pan; Jun Hao Liew; Qiang Liu 001; Jiashi Feng (NeurIPS, 2024)

MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation. - Weimin Wang; Jiawei Liu; Zhijie Lin 001; Jiangqiao Yan; Shuo Chen; Chetwin Low; Tuyen Hoang; Jie Wu 032; Jun Hao Liew; Hanshu Yan; Daquan Zhou; Jiashi Feng (CoRR, 2024)

InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. - Yujun Shi; Jun Hao Liew; Hanshu Yan; Vincent Y. F. Tan; Jiashi Feng (CoRR, 2024)

ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. - Jiannan Huang 002; Jun Hao Liew; Hanshu Yan; Yuyang Yin; Yao Zhao 001; Yunchao Wei (CoRR, 2024)

Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations. - Tiancheng Shen; Jun Hao Liew; Long Mai; Lu Qi; Jiashi Feng; Jiaya Jia (CoRR, 2024)

High Quality Human Image Animation using Regional Supervision and Motion Blur Condition. - Zhongcong Xu; Chaoyue Song; Guoxian Song; Jianfeng Zhang; Jun Hao Liew; Hongyi Xu; You Xie; Linjie Luo; Guosheng Lin; Jiashi Feng; Mike Zheng Shou (CoRR, 2024)

MagicArticulate: Make Your 3D Models Articulation-Ready. - Chaoyue Song; Jianfeng Zhang; Xiu Li; Fan Yang 103; Yiwen Chen; Zhongcong Xu; Jun Hao Liew; Xiaoyang Guo; Fayao Liu; Jiashi Feng; Guosheng Lin (CVPR, 2025)

DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. - Lianghui Zhu; Zilong Huang; Bencheng Liao; Jun Hao Liew; Hanshu Yan; Jiashi Feng; Xinggang Wang (CVPR, 2025)

ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. - Jiannan Huang 002; Jun Hao Liew; Hanshu Yan; Yuyang Yin; Yao Zhao 001; Humphrey Shi; Yunchao Wei (ICLR, 2025)

GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation. - Tianwei Xiong; Jun Hao Liew; Zilong Huang; Jiashi Feng; Xihui Liu (CoRR, 2025)

The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer. - Weixian Lei; Jiacong Wang; Haochen Wang; Xiangtai Li; Jun Hao Liew; Jiashi Feng; Zilong Huang (CoRR, 2025)

AvatarStudio: High-Fidelity and Animatable 3D Avatar Creation from Text. - Xuanmeng Zhang; Jianfeng Zhang; Chenxu Zhang; Jun Hao Liew; Huichao Zhang; Yi Yang 001; Jiashi Feng (Int. J. Comput. Vis., 2025)