Prof. Svetlana Lazebnik — Research Profile
University of Illinois Urbana-Champaign · Computer Science
About
일리노이 대학교 어배너-섐페인 컴퓨터과학과 소속 Svetlana Lazebnik 교수의 등록된 연구 분야는 Computer vision, deep learning, generative image models입니다.
Research keywords
Recent papers
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Song Han 교수 연구실
Massachusetts Institute of Technology · Department of Electrical Engineering and Computer Science
SoL-Refiner: Speed-of-Light One-Step Refinement for High-Resolution VideoPreprintarXiv (Cornell University) · Sep 29Shared topic: Generative Adversarial Networks and Image Synthesis
Christopher McComb 교수 연구실
Carnegie Mellon University · Mechanical Engineering
A large-scale benchmark to assess vision-language model question answering capabilities in engineering simulationsCommunications Engineering · Sep 22Shared topic: Multimodal Machine Learning Applications
Marios Savvides 교수 연구실
Carnegie Mellon University · Electrical and Computer Engineering
FlexUMM: Flexible Representation Learning for Unified Multimodal ModelsNewPreprintarXiv (Cornell University) · Oct 15Shared topic: Generative Adversarial Networks and Image Synthesis
Other labs in this department
- Bo Li 교수 연구실
Trustworthy machine learning, adversarial machine learning, security and privacy
- Brighten Godfrey 교수 연구실
Networked systems, software-defined networking, data center architectures, network verification
- Chandra Chekuri 교수 연구실
Theory and algorithms, approximation algorithms, graph algorithms, combinatorial optimization
- Text Information Management and Analysis Research (TIMAN)
ChengXiang Zhai
Information retrieval, data mining, natural language processing, bioinformatics
- Craig Zilles 교수 연구실
Computer architecture, compilers, computer science education, learning analytics
- Darko Marinov 교수 연구실
Software engineering, formal methods, programming languages