Benlin Liu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Visual Perception

Image Classification

Efficient Inference

Object Detection

Top Venues

Publications

Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu
Efficient Inference of Vision Instruction-Following Models with Elastic Cache. CoRR (2024)
Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu
Unleashing Text-to-Image Diffusion Models for Visual Perception. ICCV (2023)
Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. ICCV (2023)
Jiaxi Yang, Wenglong Deng, Benlin Liu, Yangsibo Huang, Xiaoxiao Li
Matching-based Data Valuation for Generative Model. CoRR (2023)
Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu
Unleashing Text-to-Image Diffusion Models for Visual Perception. CoRR (2023)
Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. CoRR (2023)
Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell
Robust Object Detection via Instance-Level Temporal Cycle Confusion. ICCV (2021)
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
Multi-Proxy Wasserstein Classifier for Image Classification. AAAI (2021)
Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. CoRR (2021)
Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. NeurIPS (2021)
Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. CoRR (2021)
Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. ICCV (2021)
Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell
Robust Object Detection via Instance-Level Temporal Cycle Confusion. CoRR (2021)
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. ECCV (14) (2020)
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. CoRR (2020)