Weihao Li

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