Pooyan Fazli

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 7 papers. Top paper: “OSCaR: Object State Captioning and State Change Representation”.

OSCaR: Object State Captioning and State Change Representation

PubMed(2024)10.18653/v1/2024.findings-naacl.226

N/A

0DataRank · unranked

8 citations

Jing Bi, Ali Vosoughi, Yapeng Tian, Pooyan Fazli, Chenliang Xu +1 more

OSCaR: Object State Captioning and State Change Representation

arXiv (Cornell University)(2024)10.48550/arxiv.2402.17128

N/A

0DataRank · unranked

0 citations

Jing Bi, Ali Vosoughi, Yapeng Tian, Pooyan Fazli, Chenliang Xu +1 more

VideoSAVi: Self-Aligned Video Language Models without Human Supervision

arXiv (Cornell University)(2024)10.48550/arxiv.2412.00624

N/A

0DataRank · unranked

0 citations

Pooyan Fazli, Yogesh Kulkarni

VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding

PubMed(2025)10.1109/cvpr52734.2025.01281

N/A

0DataRank · unranked

8 citations

Eun Woo Im, Pooyan Fazli, Chaoyu Li

VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?

PubMed(2025)10.1109/cvpr52734.2025.00794

N/A

0DataRank · unranked

1 citations

Junjia Guo, Hang Hua, Susan Liang, Mingqian Feng, Xinyang Li +7 more

VideoPASTA: 7K Preference Pairs That Matter for Video-LLM Alignment

PubMed(2025)10.18653/v1/2025.emnlp-main.1647

N/A

0DataRank · unranked

0 citations

Pooyan Fazli, Yogesh Kulkarni

AVATAR: Reinforcement Learning to See, Hear, and Reason Over Video

arXiv (Cornell University)(2025)10.48550/arxiv.2508.03100

N/A

0DataRank · unranked

0 citations

Pooyan Fazli, Yogesh Kulkarni