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Chenfeng Xu

27 papers hereh-index 12661 citations32 works total

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

author position
  • middle author17
  • last author8

Across the 25 of 27 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • cs.LG7
  • cs.CL3
  • cs.AI2
  • cs.DC2
same name
  • Chenfeng Xu — 38 papers, h 25
  • Chenfeng Xu — 13 papers, h 7
  • Chenfeng Xu — 4 papers, h 4
  • Chenfeng Xu — 4 papers, h 3

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 citedSparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

1 citations · 2 across the 24 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Law of Vision Representation in MLLMs

Shijia Yang, Bohan Zhai, Quanzeng You +3

We present the "Law of Vision Representation" in multimodal large language models (MLLMs). It reveals a strong correlation between the combination of cross-modal alignment, corresp…

cs.CV2024

Sparse Refinement for Efficient High-Resolution Semantic Segmentation

Zhijian Liu, Zhuoyang Zhang, Samir Khaki +5

Semantic segmentation empowers numerous real-world applications, such as autonomous driving and augmented/mixed reality. These applications often operate on high-resolution images…

cs.CV2024

Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment

Yiheng Li, Heyang Jiang, Akio Kodaira +3

In this paper, we point out that suboptimal noise-data mapping leads to slow training of diffusion models. During diffusion training, current methods diffuse each image across the…

cs.CV2024

Looking Backward: Streaming Video-to-Video Translation with Feature Banks

Feng Liang, Akio Kodaira, Chenfeng Xu +3

This paper introduces StreamV2V, a diffusion model that achieves real-time streaming video-to-video (V2V) translation with user prompts. Unlike prior V2V methods using batches to p…

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