제4차 산업혁명의 무한경쟁시대를 이끌어갈최첨단 IT 전문가 인재 양성
최첨단 IT 기술을 리드하는 융합형 인재 양성을 위해 전기 기술, 전자 기술, 통신 기술, 정보 기술 등에 관한 이론과 실무 교육을 실시하고 국내 및 국제자격증 교육과 더불어 대학원 진학을 통한 미래 IT기술 전문인을 양성하고 있다.
온라인강의체험
학과홈페이지
곽준영 교수
| 주요경력 |
Stanford University 공학박사(컴퓨터공학) |
| 담당과목 |
컴퓨터비전개론 |
교수진소개 상세보기이며 학력, 경력, 주요연구실적, 담당교과목을 나타내는 표입니다.
| 학력 |
- Stanford University 공학박사 (컴퓨터공학 전공)
- Stanford University 공학석사 (컴퓨터공학 전공)
- University of Illinois at Urbana-Champaign 공학학사 (컴퓨터공학 전공, 수학 부전공) |
| 경력 |
- Meta 연구 인턴
- NVIDIA 연구 인턴
- 구글 맵 개발 인턴
- 구글 드라이브 개발 인턴
- 구글 클라우드 개발 인턴
- Skydio 자율주행 드론 AI 연구 인턴
- National Center for Supercomputing Applications 연구원
- 씨앤에이아이 AI개발팀 |
| 주요연구실적 |
*수상실적
- 2020 Human-Centered Artificial Intelligence AWS grant
- Illinois Engineering Achievement Scholarship
- Jeffrey P. Blahut Memorial Scholarship
- Spin Research Fellowship
- 1st place, ECE Pulse - Software
- 3rd place, Midwest Facebook Hackathon
*특허 실적
- Systems and methods for semantic segmentation of 3D point clouds (US Patent 11004202)
* 논문 실적
- JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments(IEEE transactions on pattern analysis and machine intelligence (PAMI),2021)
- Jrmot: A real-time 3d multi-object tracker and a new large-scale dataset(IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS)],2020)
- Generative sparse detection networks for 3d single-shot object detection(Computer Vision-ECCV2020: 16th European Conference,2020)
- 3d scene graph: A structure for unified semantics, 3d space, and camera(Proceedings of the IEEE/CVF international conference on computer vision,2019)
- 4d spatio-temporal convnets: Minkowski convolutional neural networks(Proceedings of the IEEE/CVF conference on computer vision and pattern recognition,2019)
- Generalized intersection over union: A metric and a loss for bounding box regression(Proceedings of the IEEE/CVF conference on computer vision and pattern recognition,2019)
- Deformnet: Free-form deformation network for 3d shape reconstruction from a single image(2018 IEEE Winter Conference on Applications ofComputer Vision (WACV),2018)
- Segcloud: Semantic segmentation of 3d point clouds(2017 international conference on 3D vision (3DV),2017)
- Weakly supervised 3D Reconstruction with Adversarial Constraint(3D Vision (3DV), 2017 Fifth International Conference on 3D Vision,2017)
- Universal Correspondence Network(Advances in Neural Information Processing Systems 29 (NIPS 2016),2016)
- 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction(Computer Vision-ECCV2016: 14th European Conference,2016)
* 논문 심사 실적
- Reviewer of AAAI 2023
- Reviewer of CVPR, NeurIPS 2021
- Reviewer of AAAI, ICRA, CVPR, ECCV, NeurIPS 2020
- Reviewer of CVPR, ICCV, NeurIPS, IMAVIS, and two workshops 2019
- Reviewer of NeurIPS 2016
- Student volunteer at 3DV Conference and ONR workshop 2016 |
| 담당교과목 |
|
상기 콘텐츠 담당부서 교무팀 (Tel : 02-944-5224)
