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Sicheng Zhao

15 papers hereh-index 10257 citations27 works total

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

author position
  • first author1
  • middle author14

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • cs.CL1
  • cs.IR1
same name
  • Sicheng Zhao — 28 papers, h 49
  • Sicheng Zhao — 9 papers, h 3
  • Sicheng Zhao — 8 papers, h 6
  • Sicheng Zhao — 3 papers, h 9
  • Sicheng Zhao — 1 paper
  • Sicheng Zhao — 1 paper, h 4

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 citedLLMI3D: MLLM-based 3D Perception from a Single 2D Image

2 citations · 3 across the 13 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator

Fan Yang, Ru Zhen, Jianing Wang +5

AIGC images are prevalent across various fields, yet they frequently suffer from quality issues like artifacts and unnatural textures. Specialized models aim to predict defect regi…

cs.CV2024

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval

Leqi Shen, Tianxiang Hao, Tao He +5

Most text-video retrieval methods utilize the text-image pre-trained models like CLIP as a backbone. These methods process each sampled frame independently by the image encoder, re…

cs.CV2024★ 2 cited

LLMI3D: MLLM-based 3D Perception from a Single 2D Image

Fan Yang, Sicheng Zhao, Yanhao Zhang +4

Recent advancements in autonomous driving, augmented reality, robotics, and embodied intelligence have necessitated 3D perception algorithms. However, current 3D perception methods…

cs.CV2024

More is Better: Deep Domain Adaptation with Multiple Sources

Sicheng Zhao, Hui Chen, Hu Huang +2

In many practical applications, it is often difficult and expensive to obtain large-scale labeled data to train state-of-the-art deep neural networks. Therefore, transferring the l…

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