Jun Hao Liew - RankMe

61 papers A* 19A 2Journal 37Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EVATok: Adaptive Length Video Tokenization for Efficient Visual Autoregressive Generation. CoRR Tianwei Xiong, Jun Hao Liew, Zilong Huang, Zhijie Lin, Jiashi Feng, Xihui Liu
2026	J	`jnl`	W&D:Scaling Parallel Tool Calling for Efficient Deep Research Agents. CoRR Xiaoqiang Lin, Jun Hao Liew, Silvio Savarese, Junnan Li
2025	J	`jnl`	AvatarStudio: High-Fidelity and Animatable 3D Avatar Creation from Text. Int. J. Comput. Vis. Xuanmeng Zhang, Jianfeng Zhang, Chenxu Zhang, Jun Hao Liew, Huichao Zhang, Yi Yang, Jiashi Feng
2025	A*	`conf`	ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. ICLR Jiannan Huang, Jun Hao Liew, Hanshu Yan, YuYang Yin, Yao Zhao, Humphrey Shi, Yunchao Wei
2025	A*	`conf`	DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. CVPR Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang
2025	J	`jnl`	GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation. CoRR Tianwei Xiong, Jun Hao Liew, Zilong Huang, Jiashi Feng, Xihui Liu
2025	A*	`conf`	LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. ICML Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng
2025	A*	`conf`	MagicArticulate: Make Your 3D Models Articulation-Ready. CVPR Chaoyue Song, Jianfeng Zhang, Xiu Li, Fan Yang, Yiwen Chen, Zhongcong Xu, Jun Hao Liew, Xiaoyang Guo, Fayao Liu, Jiashi Feng, Guosheng Lin
2025	J	`jnl`	MagicArticulate: Make Your 3D Models Articulation-Ready. CoRR Chaoyue Song, Jianfeng Zhang, Xiu Li, Fan Yang, Yiwen Chen, Zhongcong Xu, Jun Hao Liew, Xiaoyang Guo, Fayao Liu, Jiashi Feng, Guosheng Lin
2025	J	`jnl`	The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer. CoRR Weixian Lei, Jiacong Wang, Haochen Wang, Xiangtai Li, Jun Hao Liew, Jiashi Feng, Zilong Huang
2024	A*	`conf`	AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. ICLR Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan
2024	J	`jnl`	ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. CoRR Jiannan Huang, Jun Hao Liew, Hanshu Yan, YuYang Yin, Yao Zhao, Yunchao Wei
2024	J	`jnl`	DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. CoRR Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang
2024	A*	`conf`	DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing. CVPR Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
2024	J	`jnl`	Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations. CoRR Tiancheng Shen, Jun Hao Liew, Long Mai, Lu Qi, Jiashi Feng, Jiaya Jia
2024	J	`jnl`	High Quality Human Image Animation using Regional Supervision and Motion Blur Condition. CoRR Zhongcong Xu, Chaoyue Song, Guoxian Song, Jianfeng Zhang, Jun Hao Liew, Hongyi Xu, You Xie, Linjie Luo, Guosheng Lin, Jiashi Feng, Mike Zheng Shou
2024	J	`jnl`	InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. CoRR Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng
2024	A*	`conf`	MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. CVPR Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou
2024	J	`jnl`	MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation. CoRR 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
2024	A*	`conf`	PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. NeurIPS Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng
2024	J	`jnl`	PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. CoRR Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng
2023	J	`jnl`	AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. CoRR Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan
2023	J	`jnl`	Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation. CoRR Yabo Zhang, Zihao Wang, Jun Hao Liew, Jingjia Huang, Manyu Zhu, Jiashi Feng, Wangmeng Zuo
2023	J	`jnl`	AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text. CoRR Jianfeng Zhang, Xuanmeng Zhang, Huichao Zhang, Jun Hao Liew, Chenxu Zhang, Yi Yang, Jiashi Feng
2023	J	`jnl`	Delving Deeper into Data Scaling in Masked Image Modeling. CoRR Cheng-Ze Lu, Xiaojie Jin, Qibin Hou, Jun Hao Liew, Ming-Ming Cheng, Jiashi Feng
2023	A*	`conf`	Global Knowledge Calibration for Fast Open-Vocabulary Segmentation. ICCV Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei
2023	J	`jnl`	Global Knowledge Calibration for Fast Open-Vocabulary Segmentation. CoRR Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Yunchao Wei, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao
2023	J	`jnl`	Interactive Object Segmentation With Inside-Outside Guidance. IEEE Trans. Pattern Anal. Mach. Intell. Shiyin Zhang, Shikui Wei, Jun Hao Liew, Kunyang Han, Yao Zhao, Yunchao Wei
2023	J	`jnl`	MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. CoRR Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou
2023	J	`jnl`	MagicAvatar: Multimodal Avatar Generation and Animation. CoRR Jianfeng Zhang, Hanshu Yan, Zhongcong Xu, Jiashi Feng, Jun Hao Liew
2023	J	`jnl`	MagicEdit: High-Fidelity and Temporally Coherent Video Editing. CoRR Jun Hao Liew, Hanshu Yan, Jianfeng Zhang, Zhongcong Xu, Jiashi Feng
2023	J	`jnl`	MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation. CoRR Hanshu Yan, Jun Hao Liew, Long Mai, Shanchuan Lin, Jiashi Feng
2023	A*	`conf`	Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. NeurIPS Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
2023	A*	`conf`	PV3D: A 3D Generative Model for Portrait Video Generation. ICLR Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou
2023	A*	`conf`	SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process. NeurIPS Mengyu Wang, Henghui Ding, Jun Hao Liew, Jiajun Liu, Yao Zhao, Yunchao Wei
2023	J	`jnl`	SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process. CoRR Mengyu Wang, Henghui Ding, Jun Hao Liew, Jiajun Liu, Yao Zhao, Yunchao Wei
2023	J	`jnl`	Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method. CoRR Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan
2023	A*	`conf`	XAGen: 3D Expressive Human Avatars Generation. NeurIPS Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou
2023	J	`jnl`	XAGen: 3D Expressive Human Avatars Generation. CoRR Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou
2022	J	`jnl`	MagicMix: Semantic Mixing with Diffusion Models. CoRR Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
2022	J	`jnl`	PV3D: A 3D Generative Model for Portrait Video Generation. CoRR Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou
2022	J	`jnl`	SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation. IEEE Trans. Image Process. Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng
2022	J	`jnl`	SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations. CoRR Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng
2022	—	`conf`	Slim Scissors: Segmenting Thin Object from Synthetic Background. ECCV (29) Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei
2021	A*	`conf`	Body Meshes as Points. CVPR Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng
2021	J	`jnl`	Body Meshes as Points. CoRR Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng
2021	J	`jnl`	Cross-Layer Feature Pyramid Network for Salient Object Detection. IEEE Trans. Image Process. Zun Li, Congyan Lang, Jun Hao Liew, Yidong Li, Qibin Hou, Jiashi Feng
2021	A	`conf`	DANCE : A Deep Attentive Contour Model for Efficient Instance Segmentation. WACV Zichen Liu, Jun Hao Liew, Xiangyu Chen, Jiashi Feng
2021	A	`conf`	Deep Interactive Thin Object Selection. WACV Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Jiashi Feng
2021	A*	`conf`	Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs. CVPR Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo
2020	J	`jnl`	Cross-layer Feature Pyramid Network for Salient Object Detection. CoRR Zun Li, Congyan Lang, Jun Hao Liew, Qibin Hou, Yidong Li, Jiashi Feng
2020	A*	`conf`	Interactive Object Segmentation With Inside-Outside Guidance. CVPR Shiyin Zhang, Jun Hao Liew, Yunchao Wei, Shikui Wei, Yao Zhao
2020	—	`conf`	The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. ECCV (14) Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
2020	J	`jnl`	The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation. CoRR Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
2019	J	`jnl`	Classification Calibration for Long-tail Instance Segmentation. CoRR Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
2019	J	`jnl`	Deep Reasoning with Multi-scale Context for Salient Object Detection. CoRR Zun Li, Congyan Lang, Yunpeng Chen, Jun Hao Liew, Jiashi Feng
2019	A*	`conf`	MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input. ICCV Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Sim Heng Ong, Jiashi Feng
2019	A*	`conf`	PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. ICCV Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
2019	J	`jnl`	PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. CoRR Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
2018	—	`conf`	Focus, Segment and Erase: An Efficient Network for Multi-label Brain Tumor Segmentation. ECCV (13) Xuan Chen, Jun Hao Liew, Wei Xiong, Chee-Kong Chui, Sim Heng Ong
2017	A*	`conf`	Regional Interactive Image Segmentation Networks. ICCV Jun Hao Liew, Yunchao Wei, Wei Xiong, Sim Heng Ong, Jiashi Feng