Li, Li-Jia

26 publications

CVPR 2025 Symbolic Representation for Any-to-Any Generative Tasks Jiaqi Chen, Xiaoye Zhu, Yue Wang, Tianyang Liu, Xinhui Chen, Ying Chen, Chak Tou Leong, Yifei Ke, Joseph Liu, Yiwen Yuan, Julian McAuley, Li-jia Li

CVPR 2025 Video-Bench: Human-Aligned Video Generation Benchmark Hui Han, Siyuan Li, Jiaqi Chen, Yiwen Yuan, Yuling Wu, Yufan Deng, Chak Tou Leong, Hanwen Du, Junchen Fu, Youhua Li, Jie Zhang, Chi Zhang, Li-jia Li, Yongxin Ni

ECCV 2024 Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations Kilichbek Haydarov, Xiaoqian Shen, Avinash Madasu, Mahmoud Salem, Li-Jia Li, Gamaleldin F Elsayed, Mohamed Elhoseiny

ICLR 2020 Feature Partitioning for Efficient Multi-Task Architectures Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng

ICLR 2019 Eidetic 3D LSTM: A Model for Video Prediction and Beyond Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei

ECCV 2018 AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han

ICML 2018 Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei

ICML 2018 MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei

ECCV 2018 Progressive Neural Architecture Search Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy

CVPR 2017 Deep Reinforcement Learning-Based Image Captioning with Embedding Reward Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li

CVPR 2017 Dense Captioning with Joint Inference and Visual Context Linjie Yang, Kevin Tang, Jianchao Yang, Li-Jia Li

ICCV 2017 Learning from Noisy Labels with Distillation Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Li-Jia Li

CVPR 2015 Best of Both Worlds: Human-Machine Collaboration for Object Annotation Olga Russakovsky, Li-Jia Li, Li Fei-Fei

CVPR 2015 Image Retrieval Using Scene Graphs Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Shamma, Michael Bernstein, Li Fei-Fei

CVPR 2014 Co-Localization in Real-World Images Kevin Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei

WACV 2014 Learning Mid-Level Features from Object Hierarchy for Image Classification Somayah Albaradei, Yang Wang, Liangliang Cao, Li-Jia Li

CVPR 2010 Building and Using a Semantivisual Image Hierarchy Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei

NeurIPS 2010 Large Margin Learning of Upstream Scene Understanding Models Jun Zhu, Li-jia Li, Li Fei-fei, Eric P. Xing

NeurIPS 2010 Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification Li-jia Li, Hao Su, Li Fei-fei, Eric P. Xing

ECCV 2010 Objects as Attributes for Scene Classification Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

ECCVW 2010 Objects as Attributes for Scene Classification Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

CVPR 2009 ImageNet: A Large-Scale Hierarchical Image Database Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei

CVPR 2009 Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework Li-Jia Li, Richard Socher, Li Fei-Fei

AAAI 2007 OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning Li-Jia Li, Juan Carlos Niebles, Li Fei-Fei

CVPR 2007 OPTIMOL: Automatic Online Picture collecTion via Incremental MOdel Learning Li-Jia Li, Gang Wang, Li Fei-Fei

ICCV 2007 What, Where and Who? Classifying Events by Scene and Object Recognition Li-Jia Li, Li Fei-Fei