Haiwen Huang

According to our database, Haiwen Huang authored at least 20 papers between 2018 and 2025.

Collaborative distances:

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

2025

Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation.

Nan Xiang, Tianyi Liang, Haiwen Huang, Shiqi Jiang, Hao Huang, Yifei Huang, Liangyu Chen, Changbo Wang, Chenhui Li

CoRR, August, 2025

Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning.

Yuhao Zhou, Yiheng Wang, Xuming He, Ruoyao Xiao, Zhiwei Li, Qiantai Feng, Zijie Guo, Yuejin Yang, Hao Wu, Wenxuan Huang, Jiaqi Wei, Dan Si, Xiuqi Yao, Jia Bu, Haiwen Huang, Tianfan Fu, Shixiang Tang, Ben Fei, Dongzhan Zhou, Fenghua Ling, Yan Lu, Siqi Sun, Chenhui Li, Guanjie Zheng, Jiancheng Lv, Wenlong Zhang, Lei Bai

CoRR, June, 2025

Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation.

Volodymyr Havrylov, Haiwen Huang, Dan Zhang, Andreas Geiger

CoRR, May, 2025

LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models.

Haiwen Huang, Anpei Chen, Volodymyr Havrylov, Andreas Geiger, Dan Zhang

CoRR, April, 2025

SUPQA: LLM-based Geo-Visualization for Subjective Urban Performance Question-Answering.

Haiwen Huang, Juntong Chen, Changbo Wang, Chenhui Li

Comput. Graph. Forum, 2025

2024

A class-aware multi-stage UDA framework for prostate zonal segmentation.

Zibo Ma, Yue Mi, Bo Zhang, Zheng Zhang, Yu Bai, Jingyun Wu, Haiwen Huang, Wendong Wang

Multim. Tools Appl., September, 2024

Renovating Names in Open-Vocabulary Segmentation Benchmarks.

Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger

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

SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization.

Juntong Chen, Haiwen Huang, Huayuan Ye, Zhong Peng, Chenhui Li, Changbo Wang

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

GOOD: Exploring geometric cues for detecting objects in an open world.

Haiwen Huang, Andreas Geiger, Dan Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A Scalable Graph-Based Framework for Multi-Organ Histology Image Classification.

Yu Bai, Yue Mi, Yihan Su, Bo Zhang, Zheng Zhang, Jingyun Wu, Haiwen Huang, Yongping Xiong, Xiangyang Gong, Wendong Wang

IEEE J. Biomed. Health Informatics, 2022

LSRML: A latent space regularization based meta-learning framework for MR image segmentation.

Bo Zhang, Yunpeng Tan, Hui Wang, Zheng Zhang, Xiuzhuang Zhou, Jingyun Wu, Yue Mi, Haiwen Huang, Wendong Wang

Pattern Recognit., 2022

MPTGAN: A Multimodal Prior-Based Triple-Branch Network for Fast Prostate Mri Reconstruction.

Shuo Yan, Zheng Zhang, Bo Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Xirong Que, Wendong Wang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Feature Regularization Based Meta-Learning Framework for Generalizing Prostate Mri Segmentation.

Hui Wang, Zheng Zhang, Bo Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Zibo Ma, Wendong Wang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

ACL-Net: Adaptive and Collaborative Learning Network for Multi-Site Prostate MRI Segmentation.

Zibo Ma, Bo Zhang, Zheng Zhang, Wendong Wang, Yue Mi, Haiwen Huang, Jingyun Wu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Decomposing Representations for Deterministic Uncertainty Estimation.

Haiwen Huang, Joost van Amersfoort, Yarin Gal

CoRR, 2021

Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective.

Lewis Smith, Joost van Amersfoort, Haiwen Huang, Stephen J. Roberts, Yarin Gal

CoRR, 2021

MFSL-Net: A Modality Fusion and Shape Learning based Cascaded Network for Prostate Tumor Segmentation.

Fan Zhang, Bo Zhang, Zheng Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Xirong Que, Wendong Wang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Feature Space Singularity for Out-of-Distribution Detection.

Haiwen Huang, Zhihan Li, Lulu Wang, Sishuo Chen, Xinyu Zhou, Bin Dong

Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2019

Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning Rate.

Haiwen Huang, Chang Wang, Bin Dong

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Nostalgic Adam: Weighing more of the past gradients when designing the adaptive learning rate.

Haiwen Huang, Chang Wang, Bin Dong

CoRR, 2018