Zhitong Gao - RankMe

16 papers A* 5Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Large (Vision) Language Models are Unsupervised In-Context Learners. ICLR Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic
2025	J	`jnl`	Large (Vision) Language Models are Unsupervised In-Context Learners. CoRR Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic
2024	A*	`conf`	Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. NeurIPS Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He
2024	J	`jnl`	Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. CoRR Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He
2023	A*	`conf`	ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation. NeurIPS Zhitong Gao, Shipeng Yan, Xuming He
2023	J	`jnl`	ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation. CoRR Zhitong Gao, Shipeng Yan, Xuming He
2023	—	`conf`	Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation. ML4H@NeurIPS Bingnan Li, Zhitong Gao, Xuming He
2023	J	`jnl`	Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation. CoRR Bingnan Li, Zhitong Gao, Xuming He
2023	A*	`conf`	MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels. IJCAI Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He
2023	J	`jnl`	MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels. CoRR Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He
2023	A*	`conf`	Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts. ICLR Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He
2023	—	`conf`	The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi
2023	J	`jnl`	The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi
2022	J	`jnl`	Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Expert. CoRR Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He
2021	—	`conf`	Superpixel-Guided Iterative Learning from Noisy Labels for Medical Image Segmentation. MICCAI (1) Shuailin Li, Zhitong Gao, Xuming He
2021	J	`jnl`	Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation. CoRR Shuailin Li, Zhitong Gao, Xuming He