Weihao Li - RankMe

23 papers A* 2A 1Misc 1Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision. CoRR Tengkai Wang, Weihao Li, Ruikai Cui, Shi Qiu, Nick Barnes
2024	J	`jnl`	Curved Geometric Networks for Visual Anomaly Recognition. IEEE Trans. Neural Networks Learn. Syst. Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi
2024	J	`jnl`	GOSS: towards generalized open-set semantic segmentation. Vis. Comput. Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2024	J	`jnl`	Publisher Correction: GOSS: towards generalized open-set semantic segmentation. Vis. Comput. Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2023	Misc	`conf`	REIN: Reusing ImageNet to Improve Open-set Object Detection. DICTA Weihao Li, Moshiur Farazi, Jie Hong, Lars Petersson
2023	A	`conf`	Weakly-supervised Point Cloud Instance Segmentation with Geometric Priors. WACV Heming Du, Xin Yu, Farookh Khadeer Hussain, Mohammad Ali Armin, Lars Petersson, Weihao Li
2022	J	`jnl`	A Hyperspectral and RGB Dataset for Building Facade Segmentation. CoRR Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson
2022	—	`conf`	A Hyperspectral and RGB Dataset for Building Façade Segmentation. ECCV Workshops (7) Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson
2022	—	`conf`	Blind Image Decomposition. ECCV (18) Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
2022	J	`jnl`	Curved Geometric Networks for Visual Anomaly Recognition. CoRR Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi
2022	J	`jnl`	GOSS: Towards Generalized Open-set Semantic Segmentation. CoRR Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
2022	J	`jnl`	PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis. CoRR Jie Hong, Shi Qiu, Weihao Li, Saeed Anwar, Mehrtash Harandi, Nick Barnes, Lars Petersson
2022	—	`conf`	Towards Open-Set Object Detection and Discovery. CVPR Workshops Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes
2022	J	`jnl`	Towards Open-Set Object Detection and Discovery. CoRR Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes
2022	A*	`conf`	You Only Cut Once: Boosting Data Augmentation with a Single Cut. ICML Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li
2022	J	`jnl`	You Only Cut Once: Boosting Data Augmentation with a Single Cut. CoRR Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li
2021	J	`jnl`	Blind Image Decomposition. CoRR Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
2021	A*	`conf`	Reinforced Attention for Few-Shot Learning and Beyond. CVPR Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
2021	J	`jnl`	Reinforced Attention for Few-Shot Learning and Beyond. CoRR Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
2019	—	`conf`	Localizing Common Objects Using Common Component Activation Map. CVPR Workshops Weihao Li, Omid Hosseini Jafari, Carsten Rother
2018	J	`jnl`	Deep Object Co-Segmentation. CoRR Weihao Li, Omid Hosseini Jafari, Carsten Rother
2018	—	`conf`	Deep Object Co-segmentation. ACCV (3) Weihao Li, Omid Hosseini Jafari, Carsten Rother
2017	—	`conf`	Semantic-Aware Image Smoothing. VMV Weihao Li, Omid Hosseini Jafari, Carsten Rother