Ganlong Zhao

15 papers A* 2A 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
3DGS-HPC: Distractor-free 3D Gaussian Splatting with Hybrid Patch-wise Classification.
CoRR
Jiahao Chen, Yipeng Qin, Ganlong Zhao, Xin Li, Wenping Wang, Guanbin Li
2026 J jnl
NavGemini: a multi-modal LLM agent for vision-and-language navigation.
Vis. Intell.
Ganlong Zhao, Guanbin Li, Yizhou Yu
2025 J jnl
Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction.
CoRR
Ganlong Zhao, Guanbin Li, Jia Pan, Yizhou Yu
2025 J jnl
Enhancing out-of-distribution detection via diversified multi-prototype contrastive learning.
Pattern Recognit.
Yulong Jia, Jiaming Li, Ganlong Zhao, Shuangyin Liu, Weijun Sun, Liang Lin, Guanbin Li
2024 J jnl
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning.
Int. J. Comput. Vis.
Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu
2024 A conf
GraphVAE: Unveiling Dynamic Stock Relationships with Variational Autoencoder-based Factor Modeling.
CIKM
Yulong Jia, Guanxing Li, Ganlong Zhao, Xiangru Lin, Guanbin Li
2024 A* conf
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation.
CVPR
Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu
2024 J jnl
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation.
CoRR
Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu
2023 J jnl
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning.
CoRR
Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu
2023 A* conf
Improved Distribution Matching for Dataset Condensation.
CVPR
Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu
2023 J jnl
Improved Distribution Matching for Dataset Condensation.
CoRR
Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu
2022 — conf
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels.
ECCV (25)
Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu
2022 J jnl
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels.
CoRR
Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu
2020 — conf
Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection.
ECCV (18)
Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin
2020 J jnl
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection.
CoRR
Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin