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ORCIDJun Hao Liew
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- affiliation (PhD 2019): National University of Singapore, Singapore
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Journal Articles
- 2023
[j3]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): 8594-8605 (2023)- 2022
- [j2]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: 839-851 (2022) - 2021
- [j1]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: 4587-4598 (2021)
Conference and Workshop Papers
- 2024
- [c17]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 - 2023
- [c16]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: 797-807 - [c15]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 - [c14]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 - [c13]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 - [c12]Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou:
XAGen: 3D Expressive Human Avatars Generation. NeurIPS 2023 - 2022
- [c11]Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei:
Slim Scissors: Segmenting Thin Object from Synthetic Background. ECCV (29) 2022: 379-395 - 2021
- [c10]Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng:
Body Meshes as Points. CVPR 2021: 546-556 - [c9]Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo:
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs. CVPR 2021: 10988-10997 - [c8]Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Jiashi Feng:
Deep Interactive Thin Object Selection. WACV 2021: 305-314 - [c7]Zichen Liu, Jun Hao Liew, Xiangyu Chen, Jiashi Feng:
DANCE : A Deep Attentive Contour Model for Efficient Instance Segmentation. WACV 2021: 345-354 - 2020
- [c6]Shiyin Zhang, Jun Hao Liew, Yunchao Wei, Shikui Wei, Yao Zhao:
Interactive Object Segmentation With Inside-Outside Guidance. CVPR 2020: 12231-12241 - [c5]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: 728-744 - 2019
- [c4]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: 662-670 - [c3]Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng:
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. ICCV 2019: 9196-9205 - 2018
- [c2]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: 674-689 - 2017
- [c1]Jun Hao Liew, Yunchao Wei, Wei Xiong, Sim Heng Ong, Jiashi Feng:
Regional Interactive Image Segmentation Networks. ICCV 2017: 2746-2754
Informal and Other Publications
- 2024
- [i27]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 abs/2401.04468 (2024) - [i26]Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng:
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. CoRR abs/2405.07510 (2024) - [i25]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 abs/2405.13722 (2024) - [i24]Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Yunchao Wei:
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. CoRR abs/2405.17532 (2024) - [i23]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 abs/2405.18428 (2024) - [i22]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 abs/2406.00121 (2024) - 2023
- [i21]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 abs/2303.09181 (2023) - [i20]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 abs/2304.01114 (2023) - [i19]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 abs/2305.15248 (2023) - [i18]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 abs/2307.10711 (2023) - [i17]Jianfeng Zhang, Hanshu Yan, Zhongcong Xu, Jiashi Feng, Jun Hao Liew:
MagicAvatar: Multimodal Avatar Generation and Animation. CoRR abs/2308.14748 (2023) - [i16]Jun Hao Liew, Hanshu Yan, Jianfeng Zhang, Zhongcong Xu, Jiashi Feng:
MagicEdit: High-Fidelity and Temporally Coherent Video Editing. CoRR abs/2308.14749 (2023) - [i15]Hanshu Yan, Jun Hao Liew, Long Mai, Shanchuan Lin, Jiashi Feng:
MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation. CoRR abs/2309.00908 (2023) - [i14]Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou:
XAGen: 3D Expressive Human Avatars Generation. CoRR abs/2311.13574 (2023) - [i13]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 abs/2311.16498 (2023) - [i12]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 abs/2311.17917 (2023) - [i11]Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan:
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method. CoRR abs/2312.12030 (2023) - [i10]Mengyu Wang, Henghui Ding, Jun Hao Liew, Jiajun Liu, Yao Zhao, Yunchao Wei:
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process. CoRR abs/2312.12425 (2023) - 2022
- [i9]Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng:
SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations. CoRR abs/2202.07402 (2022) - [i8]Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng:
MagicMix: Semantic Mixing with Diffusion Models. CoRR abs/2210.16056 (2022) - [i7]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 abs/2212.06384 (2022) - 2021
- [i6]Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng:
Body Meshes as Points. CoRR abs/2105.02467 (2021) - 2020
- [i5]Zun Li, Congyan Lang, Jun Hao Liew, Qibin Hou, Yidong Li, Jiashi Feng:
Cross-layer Feature Pyramid Network for Salient Object Detection. CoRR abs/2002.10864 (2020) - [i4]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 abs/2007.11978 (2020) - 2019
- [i3]Zun Li, Congyan Lang, Yunpeng Chen, Jun Hao Liew, Jiashi Feng:
Deep Reasoning with Multi-scale Context for Salient Object Detection. CoRR abs/1901.08362 (2019) - [i2]Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng:
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. CoRR abs/1908.06391 (2019) - [i1]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 abs/1910.13081 (2019)
Coauthor Index
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