Gou, Liang

7 publications

AAAI 2024 Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren

ECCV 2024 MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks Sanbao Su, Xin Li, Thang Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren

CVPR 2024 USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren

CVPR 2023 CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren

NeurIPS 2023 GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren

NeurIPS 2023 UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models Xin Li, Sima Behpour, Thang Long Doan, Wenbin He, Liang Gou, Liu Ren

IJCAI 2022 Self-Supervised Semantic Segmentation Grounded in Visual Concepts Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren