Liu, Kangning

8 publications

ICCV 2025 Refer to Any Segmentation Mask Group with Vision-Language Prompts Shengcao Cao, Zijun Wei, Jason Kuen, Kangning Liu, Lingzhi Zhang, Jiuxiang Gu, HyunJoon Jung, Liang-Yan Gui, Yu-Xiong Wang

CVPRW 2025 conSAMme: Achieving Consistent Segmentations with SAM Josh Myers-Dean, Kangning Liu, Brian L. Price, Yifei Fan, Jason Kuen, Danna Gurari

NeurIPS 2024 Uncertainty-Aware Fine-Tuning of Segmentation Foundation Models Kangning Liu, Brian Price, Jason Kuen, Yifei Fan, Zijun Wei, Luis Figueroa, Krzysztof J. Geras, Carlos Fernandez-Granda

CVPR 2023 Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda

CVPR 2022 Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda

NeurIPS 2022 Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu

NeurIPS 2022 StrokeRehab: A Benchmark Dataset for Sub-Second Action Identification Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda

WACV 2021 Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning Kangning Liu, Shuhang Gu, Andres Romero, Radu Timofte