Benlin Liu

According to our database, Benlin Liu authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Coarse Correspondence Elicit 3D Spacetime Understanding in Multimodal Language Model.

Benlin Liu, Yuhao Dong, Yiqin Wang, Yongming Rao, Yansong Tang, Wei-Chiu Ma, Ranjay Krishna

CoRR, 2024

Efficient Inference of Vision Instruction-Following Models with Elastic Cache.

Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Matching-based Data Valuation for Generative Model.

Jiaxi Yang, Wenglong Deng, Benlin Liu, Yangsibo Huang, Xiaoxiao Li

CoRR, 2023

Unleashing Text-to-Image Diffusion Models for Visual Perception.

Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering.

Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification.

Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection.

Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Robust Object Detection via Instance-Level Temporal Cycle Confusion.

Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multi-Proxy Wasserstein Classifier for Image Classification.

Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation.

Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh

Proceedings of the Computer Vision - ECCV 2020, 2020