Benlin Liu - RankMe

27 papers A* 9Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CapNav: Benchmarking Vision Language Models on Capability-conditioned Indoor Navigation. CoRR Xia Su, Ruiqi Chen, Benlin Liu, Jingwei Ma, Zonglin Di, Ranjay Krishna, Jon Froehlich
2026	J	`jnl`	Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models. CoRR Liwei Che, Zhiyu Xue, Yihao Quan, Benlin Liu, Zeru Shi, Michelle Hurst, Jacob Feldman, Ruixiang Tang, Ranjay Krishna, Vladimir Pavlovic
2026	J	`jnl`	PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning. CoRR Shaoxuan Li, Zhixuan Zhao, Hanze Deng, Zirun Ma, Shulin Tian, Zuyan Liu, Yushi Hu, Haoning Wu, Yuhao Dong, Benlin Liu, Ziwei Liu, Ranjay Krishna
2025	A*	`conf`	Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model. CVPR Benlin Liu, Yuhao Dong, Yiqin Wang, Zixian Ma, Yansong Tang, Luming Tang, Yongming Rao, Wei-Chiu Ma, Ranjay Krishna
2025	A*	`conf`	GMValuator: Similarity-based Data Valuation for Generative Models. ICLR Jiaxi Yang, Wenlong Deng, Benlin Liu, Yangsibo Huang, James Zou, Xiaoxiao Li
2025	A*	`conf`	Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment. ICLR Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu, Caixi Chen, Benlin Liu, Yue Huang, Yao Wan, Pan Zhou, Ranjay Krishna
2025	J	`jnl`	LiveVQA: Live Visual Knowledge Seeking. CoRR Mingyang Fu, Yuyang Peng, Benlin Liu, Yao Wan, Dongping Chen
2025	J	`jnl`	Structure From Tracking: Distilling Structure-Preserving Motion for Video Generation. CoRR Yang Fei, George Stoica, Jingyuan Liu, Qifeng Chen, Ranjay Krishna, Xiaojuan Wang, Benlin Liu
2025	J	`jnl`	Visual Representations inside the Language Model. CoRR Benlin Liu, Amita Kamath, Madeleine Grunde-McLaughlin, Winson Han, Ranjay Krishna
2024	J	`jnl`	Coarse Correspondence Elicit 3D Spacetime Understanding in Multimodal Language Model. CoRR Benlin Liu, Yuhao Dong, Yiqin Wang, Yongming Rao, Yansong Tang, Wei-Chiu Ma, Ranjay Krishna
2024	—	`conf`	Efficient Inference of Vision Instruction-Following Models with Elastic Cache. ECCV (17) Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu
2024	J	`jnl`	Efficient Inference of Vision Instruction-Following Models with Elastic Cache. CoRR Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu
2024	J	`jnl`	Interleaved Scene Graph for Interleaved Text-and-Image Generation Assessment. CoRR Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu, Caixi Chen, Benlin Liu, Yue Huang, Yao Wan, Pan Zhou, Ranjay Krishna
2023	J	`jnl`	Matching-based Data Valuation for Generative Model. CoRR Jiaxi Yang, Wenglong Deng, Benlin Liu, Yangsibo Huang, Xiaoxiao Li
2023	A*	`conf`	TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. ICCV Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith
2023	J	`jnl`	TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. CoRR Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith
2023	A*	`conf`	Unleashing Text-to-Image Diffusion Models for Visual Perception. ICCV Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu
2023	J	`jnl`	Unleashing Text-to-Image Diffusion Models for Visual Perception. CoRR Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu
2021	A*	`conf`	DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. NeurIPS Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
2021	J	`jnl`	DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. CoRR Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
2021	A*	`conf`	Multi-Proxy Wasserstein Classifier for Image Classification. AAAI Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
2021	A*	`conf`	RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. ICCV Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou
2021	J	`jnl`	RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. CoRR Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou
2021	A*	`conf`	Robust Object Detection via Instance-Level Temporal Cycle Confusion. ICCV Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell
2021	J	`jnl`	Robust Object Detection via Instance-Level Temporal Cycle Confusion. CoRR Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell
2020	—	`conf`	MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. ECCV (14) Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
2020	J	`jnl`	MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. CoRR Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh