Woobin Im

About

My research is focused on solving computer vision problems using machine learning. I am especially interested in motion, so I have been working on video-related topics.

Research interests: video, optical flow, spacetime, dynamic NeRF, generative models.

Award

• Naver Ph.D Fellowship Award, 2022.
• Finalist at Qualcomm Innovation Fellowship Korea (QIFK), 2020.
• Outstanding Teaching Assistant Award (우수조교상), KAIST, 2019.

Education

• KAIST, Ph.D., Computer Science2018-2024
  • Advisor: Professor Sung-Eui Yoon
• KAIST, M.S., Computer Science2016-2018
  • Advisor: Professor Hyun Seung Yang
• Yonsei University, B.S., Computer Science2012-2016

Work

• CLOVA, NAVER Cloud Corp. (internship)2023.02-2023.08

Service

• SGVR KAIST Website (Skill: web frontend, Wordpress, PHP)2018-2024
• GPU Cluster (Skill: Docker, Kubernetes, Grafana)2023-2024

Publication

• Regularizing Dynamic Radiance Fields with Kinematic Fields
  Woobin Im Geonho Cha Sebin Lee Juhyeong Seon Jumin Lee Dongyoon Wee Sung-Eui Yoon
  European Conference on Computer Vision (ECCV)
  [To appear]
• Fine-grained Background Representation for Weakly Supervised Semantic Segmentation
  Xu Yin Woobin Im Dongbo Min Yuchi Huo Fei Pan Sung-Eui Yoon
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  [arxiv] [web] [github]
• Extending Segment Anything Model into Auditory and Temporal Dimensions for Audio-Visual Segmentation
  Juhyeong Seon Woobin Im Sebin Lee Jumin Lee Sung-Eui Yoon
  International Conference on Image Processing (ICIP)
  [arxiv] [github]
• SemCity: Semantic Scene Generation with Triplane Diffusion
  Jumin Lee Sebin Lee Changho Jo Woobin Im Ju-hyeong Seon Sung-Eui Yoon
  Conference on Computer Vision and Pattern Recognition (CVPR)
  *Equal contribution [arxiv] [web] [github]
• Multi-resolution distillation for self-supervised monocular depth estimation
  Sebin Lee Woobin Im Sung-Eui Yoon
  Pattern Recognition Letters
• Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
  Jumin Lee Woobin Im Sebin Lee Sung-Eui Yoon
  Workshop on Image Processing and Image Understanding (IPIU)
  Best Paper Award [arxiv] [github]
• Scenario Generation by Action Scene-Graph Prediction
  Woobin Im Woo Jae Kim Sung-Eui Yoon
  Korea Software Congress (KSC)
  [web] [paper]
• Semi-Supervised Learning of Optical Flow by Flow Supervisor
  Woobin Im Sebin Lee Sung-Eui Yoon
  European Conference on Computer Vision (ECCV)
  [web] [arxiv] [github]
• In-N-Out: Towards Good Initialization for Inpainting and Outpainting
  Changho Jo Woobin Im Sung-Eui Yoon
  British Machine Vision Conference (BMVC)
  [web] [arxiv] [github]
• Self-Supervised Visual Odometry via Frame Interpolation
  Sebin Lee Woobin Im Sung-Eui Yoon
  Korea Robotics Society Annual Conference (KRoC)
  [paper]
• Unsupervised Learning of Optical Flow with Deep Feature Similarity
  Woobin Im Tae-Kyun Kim Sung-Eui Yoon
  European Conference on Computer Vision (ECCV)
  [web] [paper] [github]
• Combined Center Dispersion Loss Function for Deep Facial Expression Recognition
  Abhilasha Nanda Woobin Im Key-Sun Choi Hyun Seung Yang
  Pattern Recognition Letters
  [paper]
• Two-stream Spatiotemporal Feature for Video QA Task
  Chiwan Song Woobin Im Sung-Eui Yoon
  https://arxiv.org/abs/1907.05006
  [arxiv]
• Acoustic Material Estimation with Convolutional Neural Network
  Doheon Lee Inkyu An Woobin Im Sung-Eui Yoon
  Korea Robotics Society Annual Conference (KRoC)
  [paper]
• An Application of Convolutional-LSTM Network and Video QA
  Chiwan Song Woobin Im Sung-Eui Yoon
  Korea Computer Congress (KCC)
  [paper]
• Scale-Varying Triplet Ranking with Classification Loss for Facial Age Estimation
  Woobin Im Sungeun Hong Sung-Eui Yoon Hyun S. Yang
  Asian Conference on Computer Vision (ACCV)
  [web] [paper] [github]
• CBVMR: Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint
  Sungeun Hong Woobin Im Hyun S. Yang
  Proceedings of the ACM international conference on Multimedia Retrieval (ICMR)
  [paper] [video]
• D3: Recognizing dynamic scenes with deep dual descriptor based on key frames and key segments
  Sungeun Hong Jongbin Ryu Woobin Im Hyun S. Yang
  Neurocomputing
  [paper]
• SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per Person
  Sungeun Hong Woobin Im Jongbin Ryu Hyun S. Yang
  International Conference on Image Processing (ICIP'17), IEEE
  Oral [paper]
• Convolutional Texture Networks based on Histogram Pooling
  Jongbin Ryu Sungeun Hong Woobin Im Hyun S. Yang
• Image-text multi-modal representation learning by adversarial backpropagation
  Gwangbeen Park Woobin Im
  arXiv preprint arXiv:1612.08354
• Deep CNN-based Person Identification using Facial and Clothing Features
  Sungeun Hong Woobin Im Junwoo Park Hyun S. Yang
  Jun 2016, Summer General Conference '16, IEEK

Patent

• 트리플릿 기반의 손실함수를 활용한 순서가 있는 분류문제를 위한 딥러닝 모델 학습 방법 및 장치 (Using Triplet-based Loss for Training Ordinal Classification Deep Models)
  [US App] [KR App]
• 부분 이미지 기반 객체 판별 방법 및 장치 (Partial Face Based Person Identification Across Poses)
  [KR]
• 도메인 적응 기반 객체 인식 모델 제공 장치 및 방법 (APPARATUS AND METHOD FOR PROVIDING OBJECT RECOGNITION MODEL BASED ON DOMAIN ADAPTATION)
  [KR App]
• 광학 흐름 추정을 위한 딥 유사도 기반 비지도 학습의 컴퓨터 시스템 및 그의 방법 (COMPUTER SYSTEM OF UNSUPERVISED LEARNING WITH DEEP SIMILARITY FOR OPTICAL FLOW ESTIMATION AND METHOD THEREOF)
  [KR] [US App]

Experience

• Teaching Assistants
  • GSAG-KAIST Research and Education Program, 1/2019-2/2019
  • CS206: Data Structure (Spring 2019), 3/2019-6/2019
  • CS688: Web-Scale Image Retrieval (Fall 2018), 9/2018-12/2018
  • CS101: Introduction to Programming, 9/2016-12/2017, 9/2018-12/2018
• Undergraduate Research Assistant
  • DB Lab, Yonsei University, 1/2014-2/2014