Jun Hao Liew

According to our database, Jun Hao Liew authored at least 33 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation.

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

CoRR, 2024

2023

Interactive Object Segmentation With Inside-Outside Guidance.

Shiyin Zhang, Shikui Wei, Jun Hao Liew, Kunyang Han, Yao Zhao, Yunchao Wei

IEEE Trans. Pattern Anal. Mach. Intell., July, 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

AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text.

Jianfeng Zhang, Xuanmeng Zhang, Huichao Zhang, Jun Hao Liew, Chenxu Zhang, Yi Yang, Jiashi Feng

CoRR, 2023

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

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

MagicEdit: High-Fidelity and Temporally Coherent Video Editing.

Jun Hao Liew, Hanshu Yan, Jianfeng Zhang, Zhongcong Xu, Jiashi Feng

CoRR, 2023

MagicAvatar: Multimodal Avatar Generation and Animation.

Jianfeng Zhang, Hanshu Yan, Zhongcong Xu, Jiashi Feng, Jun Hao Liew

CoRR, 2023

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models.

Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan

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

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

XAGen: 3D Expressive Human Avatars Generation.

Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation.

Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process.

Mengyu Wang, Henghui Ding, Jun Hao Liew, Jiajun Liu, Yao Zhao, Yunchao Wei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PV3D: A 3D Generative Model for Portrait Video Generation.

Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Global Knowledge Calibration for Fast Open-Vocabulary Segmentation.

Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation.

Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng

IEEE Trans. Image Process., 2022

MagicMix: Semantic Mixing with Diffusion Models.

Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng

CoRR, 2022

SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations.

Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng

CoRR, 2022

Slim Scissors: Segmenting Thin Object from Synthetic Background.

Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Cross-Layer Feature Pyramid Network for Salient Object Detection.

Zun Li, Congyan Lang, Jun Hao Liew, Yidong Li, Qibin Hou, Jiashi Feng

IEEE Trans. Image Process., 2021

DANCE : A Deep Attentive Contour Model for Efficient Instance Segmentation.

Zichen Liu, Jun Hao Liew, Xiangyu Chen, Jiashi Feng

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Deep Interactive Thin Object Selection.

Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Jiashi Feng

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Body Meshes as Points.

Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs.

Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation.

Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng

Proceedings of the Computer Vision - ECCV 2020, 2020

Interactive Object Segmentation With Inside-Outside Guidance.

Shiyin Zhang, Jun Hao Liew, Yunchao Wei, Shikui Wei, Yao Zhao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Classification Calibration for Long-tail Instance Segmentation.

Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng

CoRR, 2019

Deep Reasoning with Multi-scale Context for Salient Object Detection.

Zun Li, Congyan Lang, Yunpeng Chen, Jun Hao Liew, Jiashi Feng

CoRR, 2019

PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment.

Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Focus, Segment and Erase: An Efficient Network for Multi-label Brain Tumor Segmentation.

Xuan Chen, Jun Hao Liew, Wei Xiong, Chee-Kong Chui, Sim Heng Ong

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Regional Interactive Image Segmentation Networks.

Jun Hao Liew, Yunchao Wei, Wei Xiong, Sim Heng Ong, Jiashi Feng

Proceedings of the IEEE International Conference on Computer Vision, 2017