Jun Hao Liew

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 47

Top Topics

Diffusion Model

Semantic Segmentation

Top Venues

Publications

Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng
InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. CoRR (2024)
Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Yunchao Wei
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. CoRR (2024)
Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. CoRR (2024)
Weimin Wang, Jiawei Liu, Zhijie Lin, Jiangqiao Yan, Shuo Chen, Chetwin Low, Tuyen Hoang, Jie Wu, Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation. CoRR (2024)
Tiancheng Shen, Jun Hao Liew, Long Mai, Lu Qi, Jiashi Feng, Jiaya Jia
Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations. CoRR (2024)
Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. CoRR (2024)
Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. ICLR (2024)
Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. NeurIPS (2023)
Yabo Zhang, Zihao Wang, Jun Hao Liew, Jingjia Huang, Manyu Zhu, Jiashi Feng, Wangmeng Zuo
Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation. CoRR (2023)
Mengyu Wang, Henghui Ding, Jun Hao Liew, Jiajun Liu, Yao Zhao, Yunchao Wei
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process. CoRR (2023)
Hanshu Yan, Jun Hao Liew, Long Mai, Shanchuan Lin, Jiashi Feng
MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation. CoRR (2023)
Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Yunchao Wei, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation. CoRR (2023)
Shiyin Zhang, Shikui Wei, Jun Hao Liew, Kunyang Han, Yao Zhao, Yunchao Wei
Interactive Object Segmentation With Inside-Outside Guidance. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou
XAGen: 3D Expressive Human Avatars Generation. NeurIPS (2023)
Jianfeng Zhang, Hanshu Yan, Zhongcong Xu, Jiashi Feng, Jun Hao Liew
MagicAvatar: Multimodal Avatar Generation and Animation. CoRR (2023)
Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation. ICCV (2023)
Jun Hao Liew, Hanshu Yan, Jianfeng Zhang, Zhongcong Xu, Jiashi Feng
MagicEdit: High-Fidelity and Temporally Coherent Video Editing. CoRR (2023)
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. CoRR (2023)
Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method. CoRR (2023)
Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou
PV3D: A 3D Generative Model for Portrait Video Generation. ICLR (2023)
Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. CoRR (2023)
Cheng-Ze Lu, Xiaojie Jin, Qibin Hou, Jun Hao Liew, Ming-Ming Cheng, Jiashi Feng
Delving Deeper into Data Scaling in Masked Image Modeling. CoRR (2023)
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou
XAGen: 3D Expressive Human Avatars Generation. CoRR (2023)
Mengyu Wang, Henghui Ding, Jun Hao Liew, Jiajun Liu, Yao Zhao, Yunchao Wei
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process. NeurIPS (2023)
Jianfeng Zhang, Xuanmeng Zhang, Huichao Zhang, Jun Hao Liew, Chenxu Zhang, Yi Yang, Jiashi Feng
AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text. CoRR (2023)
Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng
SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations. CoRR (2022)
Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou
PV3D: A 3D Generative Model for Portrait Video Generation. CoRR (2022)
Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei
Slim Scissors: Segmenting Thin Object from Synthetic Background. ECCV (24) (2022)
Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng
SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation. IEEE Trans. Image Process. 31 (2022)
Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
MagicMix: Semantic Mixing with Diffusion Models. CoRR (2022)
Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Jiashi Feng
Deep Interactive Thin Object Selection. WACV (2021)
Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng
Body Meshes as Points. CVPR (2021)
Zichen Liu, Jun Hao Liew, Xiangyu Chen, Jiashi Feng
DANCE : A Deep Attentive Contour Model for Efficient Instance Segmentation. WACV (2021)
Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng
Body Meshes as Points. CoRR (2021)
Zun Li, Congyan Lang, Jun Hao Liew, Yidong Li, Qibin Hou, Jiashi Feng
Cross-Layer Feature Pyramid Network for Salient Object Detection. IEEE Trans. Image Process. 30 (2021)
Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs. CVPR (2021)
Shiyin Zhang, Jun Hao Liew, Yunchao Wei, Shikui Wei, Yao Zhao
Interactive Object Segmentation With Inside-Outside Guidance. CVPR (2020)
Zun Li, Congyan Lang, Jun Hao Liew, Qibin Hou, Yidong Li, Jiashi Feng
Cross-layer Feature Pyramid Network for Salient Object Detection. CoRR (2020)
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation. CoRR (2020)
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. ECCV (14) (2020)
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
Classification Calibration for Long-tail Instance Segmentation. CoRR (2019)
Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Sim Heng Ong, Jiashi Feng
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input. ICCV (2019)
Zun Li, Congyan Lang, Yunpeng Chen, Jun Hao Liew, Jiashi Feng
Deep Reasoning with Multi-scale Context for Salient Object Detection. CoRR (2019)
Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. CoRR (2019)
Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. ICCV (2019)
Xuan Chen, Jun Hao Liew, Wei Xiong, Chee-Kong Chui, Sim Heng Ong
Focus, Segment and Erase: An Efficient Network for Multi-label Brain Tumor Segmentation. ECCV (13) (2018)
Jun Hao Liew, Yunchao Wei, Wei Xiong, Sim Heng Ong, Jiashi Feng
Regional Interactive Image Segmentation Networks. ICCV (2017)