Li, Mengtian

20 publications

CVPR 2025 CustAny: Customizing Anything from a Single Example Lingjie Kong, Kai Wu, Chengming Xu, Xiaobin Hu, Wenhui Han, Jinlong Peng, Donghao Luo, Mengtian Li, Jiangning Zhang, Chengjie Wang, Yanwei Fu
CVPR 2025 FilmComposer: LLM-Driven Music Production for Silent Film Clips Zhifeng Xie, Qile He, Youjia Zhu, Qiwei He, Mengtian Li
AAAI 2025 HieraFashDiff: Hierarchical Fashion Design with Multi-Stage Diffusion Models Zhifeng Xie, Hao Li, Huiming Ding, Mengtian Li, Xinhan Di, Ying Cao
CVPR 2025 HyperLoRA: Parameter-Efficient Adaptive Generation for Portrait Synthesis Mengtian Li, Jinshu Chen, Wanquan Feng, Bingchuan Li, Fei Dai, Songtao Zhao, Qian He
CVPR 2025 StageDesigner: Artistic Stage Generation for Scenography via Theater Scripts Zhaoxing Gan, Mengtian Li, Ruhua Chen, Zhongxia Ji, Sichen Guo, Huanling Hu, Guangnan Ye, Zuo Hu
CVPR 2024 SonicVisionLM: Playing Sound with Vision Language Models Zhifeng Xie, Shengye Yu, Qile He, Mengtian Li
ICCVW 2023 An Empirical Analysis of Range for 3D Object Detection Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan
WACV 2023 Far3Det: Towards Far-Field 3D Detection Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong
ICML 2023 Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui
CVPR 2023 Learning to Zoom and Unzoom Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan
CVPR 2022 Forecasting from LiDAR via Future Object Detection Neehar Peri, Jonathon Luiten, Mengtian Li, Aljoša Ošep, Laura Leal-Taixé, Deva Ramanan
CVPR 2022 HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization Mengtian Li, Yuan Xie, Yunhang Shen, Bo Ke, Ruizhi Qiao, Bo Ren, Shaohui Lin, Lizhuang Ma
ECCV 2022 Hyperspherical Learning in Multi-Label Classification Bo Ke, Yunquan Zhu, Mengtian Li, Xiujun Shu, Ruizhi Qiao, Bo Ren
ICCV 2021 FOVEA: Foveated Image Magnification for Autonomous Navigation Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan
ICLR 2020 Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints Mengtian Li, Ersin Yumer, Deva Ramanan
ECCV 2020 Towards Streaming Perception Mengtian Li, Yu-Xiong Wang, Deva Ramanan
WACV 2019 Photo-Sketching: Inferring Contour Drawings from Images Mengtian Li, Zhe Lin, Radomír Mech, Ersin Yumer, Deva Ramanan
AAAI 2018 Brute-Force Facial Landmark Analysis with a 140, 000-Way Classifier Mengtian Li, László A. Jeni, Deva Ramanan
WACV 2017 Guaranteed Parameter Estimation for Discrete Energy Minimization Mengtian Li, Daniel Huber
ECCV 2016 Complexity of Discrete Energy Minimization Problems Mengtian Li, Alexander Shekhovtsov, Daniel Huber