◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Tong Wu

23 papers hereh-index 151k citations27 works total

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

author position
  • first author4
  • middle author18
  • last author1

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV23
same name
  • Tong Wu — 27 papers, h 7
  • Tong Wu — 17 papers, h 18
  • Tong Wu — 17 papers, h 8
  • Tong Wu — 14 papers, h 10
  • Tong Wu — 14 papers, h 6
  • Tong Wu — 11 papers, h 13

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 citedAlpha-CLIP: A CLIP Model Focusing on Wherever You Want

4 citations · 17 across the 20 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 4 cited

Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases

Zhangyang Qi, Ye Fang, Mengchen Zhang +6

The rapidly evolving sector of Multi-modal Large Language Models (MLLMs) is at the forefront of integrating linguistic and visual processing in artificial intelligence. This paper…

cs.CV2023★ 4 cited

Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

Zeyi Sun, Ye Fang, Tong Wu +6

Contrastive Language-Image Pre-training (CLIP) plays an essential role in extracting valuable content information from images across diverse tasks. It aligns textual and visual mod…

cs.CV2023★ 3 cited

HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image

Tong Wu, Zhibing Li, Shuai Yang +5

3D content creation from a single image is a long-standing yet highly desirable task. Recent advances introduce 2D diffusion priors, yielding reasonable results. However, existing…

cs.CV2023

GPT4Point: A Unified Framework for Point-Language Understanding and Generation

Zhangyang Qi, Ye Fang, Zeyi Sun +5

Multimodal Large Language Models (MLLMs) have excelled in 2D image-text comprehension and image generation, but their understanding of the 3D world is notably deficient, limiting p…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.