Li, Haoxiang

24 publications

ICLR 2025 CatVTON: Concatenation Is All You Need for Virtual Try-on with Diffusion Models Zheng Chong, Xiao Dong, Haoxiang Li, Shiyue Zhang, Wenqing Zhang, Hanqing Zhao, Xujie Zhang, Dongmei Jiang, Xiaodan Liang
ICLRW 2025 FetalCSR: Multi-Input Attention Fusion Network for Neural ODE-Based Fetal Cortical Surface Reconstruction Haoxiang Li, Mingxuan Liu, Xuguang Bai, Yi Liao, Jialan Zheng, Hongjia Yang, Zihan Li, Haibo Qu, Qiyuan Tian
NeurIPS 2025 GeoRemover: Removing Objects and Their Causal Visual Artifacts Zixin Zhu, Haoxiang Li, Xuelu Feng, He Wu, Chunming Qiao, Junsong Yuan
ICML 2024 Enhancing Implicit Shape Generators Using Topological Regularizations Liyan Chen, Yan Zheng, Yang Li, Lohit Anirudh Jagarapu, Haoxiang Li, Hao Kang, Gang Hua, Qixing Huang
ECCV 2024 UGG: Unified Generative Grasping Jiaxin Lu, Hao Kang, Haoxiang Li, Bo Liu, Yiding Yang, Qixing Huang, Gang Hua
AAAI 2023 Boosted Dynamic Neural Networks Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi
ICCV 2023 Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, Gang Hua
ICCV 2023 Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning Siming Yan, Zhenpei Yang, Haoxiang Li, Chen Song, Li Guan, Hao Kang, Gang Hua, Qixing Huang
NeurIPSW 2023 Large Language Models Are Zero Shot Hypothesis Proposers Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou
AAAI 2023 Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo, Gang Hua
ECCV 2022 Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos
AAAI 2021 Any-Precision Deep Neural Networks Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas S. Huang, Gang Hua
ICCV 2021 GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos
CVPR 2021 Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua
ECCV 2018 A Modulation Module for Multi-Task Learning with Applications in Image Retrieval Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu
ECCV 2018 Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury
ICCV 2017 Learning Dense Facial Correspondences in Unconstrained Images Ronald Yu, Shunsuke Saito, Haoxiang Li, Duygu Ceylan, Hao Li
ICCV 2017 VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation Chuang Gan, Yandong Li, Haoxiang Li, Chen Sun, Boqing Gong
CVPR 2016 A Multi-Level Contextual Model for Person Recognition in Photo Albums Haoxiang Li, Jonathan Brandt, Zhe Lin, Xiaohui Shen, Gang Hua
CVPR 2015 A Convolutional Neural Network Cascade for Face Detection Haoxiang Li, Zhe Lin, Xiaohui Shen, Jonathan Brandt, Gang Hua
CVPR 2015 Hierarchical-PEP Model for Real-World Face Recognition Haoxiang Li, Gang Hua
CVPR 2014 Efficient Boosted Exemplar-Based Face Detection Haoxiang Li, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Gang Hua
CVPR 2013 Probabilistic Elastic Matching for Pose Variant Face Verification Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt, Jianchao Yang
ICCV 2013 Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt, Jianchao Yang