Zhuotao Tian

According to our database, Zhuotao Tian authored at least 36 papers between 2019 and 2024.

Collaborative distances:

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

2024

PFENet++: Boosting Few-Shot Semantic Segmentation With the Noise-Filtered Context-Aware Prior Mask.

Xiaoliu Luo, Zhuotao Tian, Taiping Zhang, Bei Yu, Yuan Yan Tang, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation.

Tong Shao, Zhuotao Tian, Hang Zhao, Jingyong Su

CoRR, 2024

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.

Xin Lai, Zhuotao Tian, Yukang Chen, Senqiao Yang, Xiangru Peng, Jiaya Jia

CoRR, 2024

Scalable Language Model with Generalized Continual Learning.

Bohao Peng, Zhuotao Tian, Shu Liu, Ming-Hsuan Yang, Jiaya Jia

CoRR, 2024

Scalable Language Model with Generalized Continual Learning.

Bohao Peng, Zhuotao Tian, Shu Liu, Ming-Chang Yang, Jiaya Jia

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models.

Longxiang Tang, Zhuotao Tian, Kai Li, Chunming He, Hantao Zhou, Hengshuang Zhao, Xiu Li, Jiaya Jia

Proceedings of the Computer Vision - ECCV 2024, 2024

Unified Language-Driven Zero-Shot Domain Adaptation.

Senqiao Yang, Zhuotao Tian, Li Jiang, Jiaya Jia

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

Towards Large-Scale 3D Representation Learning with Multi-Dataset Point Prompt Training.

Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao

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

SaCo Loss: Sample-Wise Affinity Consistency for Vision-Language Pre-Training.

Sitong Wu, Haoru Tan, Zhuotao Tian, Yukang Chen, Xiaojuan Qi, Jiaya Jia

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

GroupContrast: Semantic-Aware Self-Supervised Representation Learning for 3D Understanding.

Chengyao Wang, Li Jiang, Xiaoyang Wu, Zhuotao Tian, Bohao Peng, Hengshuang Zhao, Jiaya Jia

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

OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation.

Bohao Peng, Xiaoyang Wu, Li Jiang, Yukang Chen, Hengshuang Zhao, Zhuotao Tian, Jiaya Jia

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

LISA: Reasoning Segmentation via Large Language Model.

Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia

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

2023

ResLT: Residual Learning for Long-Tailed Recognition.

Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Adaptive Perspective Distillation for Semantic Segmentation.

Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., 2023

An Improved Baseline for Reasoning Segmentation with Large Language Model.

Senqiao Yang, Tianyuan Qu, Xin Lai, Zhuotao Tian, Bohao Peng, Shu Liu, Jiaya Jia

CoRR, 2023

Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training.

Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao

CoRR, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

CoRR, 2023

Decoupled Kullback-Leibler Divergence Loss.

Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang

CoRR, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chenyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

CoRR, 2023

Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement.

Zhenhua Ning, Zhuotao Tian, Guangming Lu, Wenjie Pei

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Context-Aware Classifier for Semantic Segmentation.

Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Prior Guided Feature Enrichment Network for Few-Shot Segmentation.

Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Zhicheng Yang, Ruiyu Li, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Generalized Parametric Contrastive Learning.

Jiequan Cui, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia

CoRR, 2022

Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions.

Dong Zhang, Yi Lin, Hao Chen, Zhuotao Tian, Xin Yang, Jinhui Tang, Kwang-Ting Cheng

CoRR, 2022

Region Rebalance for Long-Tailed Semantic Segmentation.

Jiequan Cui, Yuhui Yuan, Zhisheng Zhong, Zhuotao Tian, Han Hu, Stephen Lin, Jiaya Jia

CoRR, 2022

SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment.

Yixin Chen, Zhuotao Tian, Pengguang Chen, Shu Liu, Jiaya Jia

CoRR, 2022

Spatial Pruned Sparse Convolution for Efficient 3D Object Detection.

Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi

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

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation.

Xin Lai, Zhuotao Tian, Xiaogang Xu, Ying-Cong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia

Proceedings of the Computer Vision - ECCV 2022, 2022

Generalized Few-shot Semantic Segmentation.

Zhuotao Tian, Xin Lai, Li Jiang, Shu Liu, Michelle Shu, Hengshuang Zhao, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation.

Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency.

Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia

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

2020

Generalized Few-Shot Semantic Segmentation.

Zhuotao Tian, Xin Lai, Li Jiang, Michelle Shu, Hengshuang Zhao, Jiaya Jia

CoRR, 2020

2019

Region Refinement Network for Salient Object Detection.

Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Jiaze Wang, Ruiyu Li, Xiaoyong Shen, Jiaya Jia

CoRR, 2019

Learning Shape-Aware Embedding for Scene Text Detection.

Zhuotao Tian, Michelle Shu, Pengyuan Lyu, Ruiyu Li, Chao Zhou, Xiaoyong Shen, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation.

Ying-Cong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019