Lin, Zhiqiu

12 publications

ICCV 2025 Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogerio Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig

NeurIPS 2025 Towards Understanding Camera Motions in Any Video Zhiqiu Lin, Siyuan Cen, Daniel Jiang, Jay Karhade, Hewei Wang, Chancharik Mitra, Yu Tong Tiffany Ling, Yuhan Huang, Rushikesh Zawar, Xue Bai, Yilun Du, Chuang Gan, Deva Ramanan

ECCV 2024 Evaluating Text-to-Visual Generation with Image-to-Text Generation Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan

CVPRW 2024 Evaluating and Improving Compositional Text-to-Visual Generation Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan

ICML 2024 LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong

CVPR 2024 Language Models as Black-Box Optimizers for Vision-Language Models Shihong Liu, Samuel Yu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan

NeurIPS 2024 NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples Baiqi Li, Zhiqiu Lin, Wenxuan Peng, Jean de Dieu Nyandwi, Daniel Jiang, Zixian Ma, Simran Khanuja, Ranjay Krishna, Graham Neubig, Deva Ramanan

ICML 2024 Revisiting the Role of Language Priors in Vision-Language Models Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan

CVPR 2024 The Neglected Tails in Vision-Language Models Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong

NeurIPSW 2023 LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong, Deva Ramanan

CVPR 2023 Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan

NeurIPS 2022 Continual Learning with Evolving Class Ontologies Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong