Zhiqiu Lin

According to our database, Zhiqiu Lin authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation.

Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Tiffany Ling, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan

CoRR, 2024

An Introduction to Vision-Language Modeling.

Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisiting the Role of Language Priors in Vision-Language Models.

Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

The Neglected Tails in Vision-Language Models.

Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Language Models as Black-Box Optimizers for Vision-Language Models.

Shihong Liu, Samuel Yu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

How visual chirality affects the performance of image hashing.

Yanzhao Xie, Guangxing Hu, Yu Liu, Zhiqiu Lin, Ke Zhou, Yuhong Zhao

Neural Comput. Appl., April, 2023

VisualGPTScore: Visio-Linguistic Reasoning with Multimodal Generative Pre-Training Scores.

Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan

CoRR, 2023

Prompting Scientific Names for Zero-Shot Species Recognition.

Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models.

Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning with an Evolving Class Ontology.

Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong

CoRR, 2022

Continual Learning with Evolving Class Ontologies.

Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Streaming Self-Training via Domain-Agnostic Unlabeled Images.

Zhiqiu Lin, Deva Ramanan, Aayush Bansal

CoRR, 2021

The CLEAR Benchmark: Continual LEArning on Real-World Imagery.

Zhiqiu Lin, Jia Shi, Deepak Pathak, Deva Ramanan

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Visual Chirality.

Zhiqiu Lin, Jin Sun, Abe Davis, Noah Snavely

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

QPyTorch: A Low-Precision Arithmetic Simulation Framework.

Tianyi Zhang, Zhiqiu Lin, Guandao Yang, Christopher De Sa

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

What.Hack: Engaging Anti-Phishing Training Through a Role-playing Phishing Simulation Game.

Zikai Alex Wen, Zhiqiu Lin, Rowena Chen, Erik Andersen

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Intermediate Level Adversarial Attack for Enhanced Transferability.

Qian Huang, Zeqi Gu, Isay Katsman, Horace He, Pian Pawakapan, Zhiqiu Lin, Serge J. Belongie, Ser-Nam Lim

CoRR, 2018