Wenze Liu

According to our database, Wenze Liu authored at least 20 papers between 2022 and 2026.

Collaborative distances:

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

2026

Densely activated self-attention for semantic segmentation.

Liwen Xiao, Wenze Liu, Zhicheng Wang, Yiran Wang, Zhiyu Pan, Hao Lu, Zhiguo Cao

Pattern Recognit., 2026

2025

VideoCanvas: Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning.

Minghong Cai, Qiulin Wang, Zongli Ye, Wenze Liu, Quande Liu, Weicai Ye, Xintao Wang, Pengfei Wan, Kun Gai, Xiangyu Yue

CoRR, October, 2025

Learning to Integrate Diffusion ODEs by Averaging the Derivatives.

Wenze Liu, Xiangyu Yue

CoRR, May, 2025

FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder Architectures.

Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao

Int. J. Comput. Vis., January, 2025

Adaptive Switching Control of Voltage Source Converters in Renewable Energy Station Based on Operating Short Circuit Ratio.

Zhan Zhang, Huangqing Xiao, Wenze Liu, Ying Huang

Symmetry, 2025

DiffusionHead:Dense crowd target head detection based on diffusion model.

Yifeng Xu, Xingang Wang, Wenze Liu, Xiaohan Qi, Fengxin Du

Proceedings of the International Joint Conference on Neural Networks, 2025

BEVboost: Research on 3D Object Detection Method for Roadside Based on Multi-feature Fusion.

Wenze Liu, Xingang Wang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation.

Minghong Cai, Xiaodong Cun, Xiaoyu Li, Wenze Liu, Zhaoyang Zhang, Yong Zhang, Ying Shan, Xiangyu Yue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Training Matting Models Without Alpha Labels.

Wenze Liu, Zixuan Ye, Hao Lu, Zhiguo Cao, Xiangyu Yue

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling.

Wenze Liu, Le Zhuo, Yi Xin, Sheng Xia, Peng Gao, Xiangyu Yue

CoRR, 2024

Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT.

Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Lirui Zhao, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Xiangyang Zhu, Si Liu, Xiangyu Yue, Dingning Liu, Wanli Ouyang, Ziwei Liu, Yu Qiao, Hongsheng Li, Peng Gao

CoRR, 2024

Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT.

Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Xiangyang Zhu, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Lirui Zhao, Si Liu, Xiangyu Yue, Wanli Ouyang, Yu Qiao, Hongsheng Li, Peng Gao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SCAPE: A Simple and Strong Category-Agnostic Pose Estimator.

Yujia Liang, Zixuan Ye, Wenze Liu, Hao Lu

Proceedings of the Computer Vision - ECCV 2024, 2024

Unifying Automatic and Interactive Matting with Pretrained ViTs.

Zixuan Ye, Wenze Liu, He Guo, Yujia Liang, Chaoyi Hong, Hao Lu, Zhiguo Cao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

SIERRA: A robust bilateral feature upsampler for dense prediction.

Hongtao Fu, Wenze Liu, Yuliang Liu, Zhiguo Cao, Hao Lu

Comput. Vis. Image Underst., October, 2023

Box-DETR: Understanding and Boxing Conditional Spatial Queries.

Wenze Liu, Hao Lu, Yuliang Liu, Zhiguo Cao

CoRR, 2023

On Point Affiliation in Feature Upsampling.

Wenze Liu, Hao Lu, Yuliang Liu, Zhiguo Cao

CoRR, 2023

Learning to Upsample by Learning to Sample.

Wenze Liu, Hao Lu, Hongtao Fu, Zhiguo Cao

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

2022

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling.

Hao Lu, Wenze Liu, Zixuan Ye, Hongtao Fu, Yuliang Liu, Zhiguo Cao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling.

Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao

Proceedings of the Computer Vision - ECCV 2022, 2022