Liu, Kangning

9 publications

ICLR 2026 Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation Shufan Li, Jiuxiang Gu, Kangning Liu, Zhe Lin, Zijun Wei, Aditya Grover, Jason Kuen

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