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Fei-Fei Li

4 papers hereh-index 3456 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
same name
  • Fei-Fei Li — 19 papers, h 15
  • Fei-Fei Li — 17 papers, h 3
  • Fei-Fei Li — 8 papers, h 6
  • Fei-Fei Li — 7 papers, h 7
  • Fei-Fei Li — 6 papers, h 5
  • Fei-Fei Li — 6 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedPhotorealistic Video Generation with Diffusion Models

7 citations · 8 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2026

LoGo: Local-Global Rewards for Consistent Long-Horizon Video Generation

Ziqi Ma, Shreya Sharma, Mohamed El Banani +8

Camera-controlled video models are rapidly advancing toward long generation horizons and complex camera control. A key failure mode is 3D inconsistency: as the camera moves, object…

cs.LG2025

Exploring Diffusion Transformer Designs via Grafting

Keshigeyan Chandrasegaran, Michael Poli, Daniel Y. Fu +9

Designing model architectures requires decisions such as selecting operators (e.g., attention, convolution) and configurations (e.g., depth, width). However, evaluating the impact…

cs.CV2024★ 1 cited

HourVideo: 1-Hour Video-Language Understanding

Keshigeyan Chandrasegaran, Agrim Gupta, Lea M. Hadzic +7

We present HourVideo, a benchmark dataset for hour-long video-language understanding. Our dataset consists of a novel task suite comprising summarization, perception (recall, track…

cs.CV2023★ 7 cited

Photorealistic Video Generation with Diffusion Models

Agrim Gupta, Lijun Yu, Kihyuk Sohn +6

We present W.A.L.T, a transformer-based approach for photorealistic video generation via diffusion modeling. Our approach has two key design decisions. First, we use a causal encod…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.