Woobin Im 🇰🇷 임우빈

About

I am a Staff Engineer and the Neural Graphics Unit Lead in the Mobile eXperience (MX) Business at Samsung Electronics, specializing in real-time neural graphics for mobile devices. Over the past two years at Samsung, my work has spanned foundational research to flagship commercialization—progressing from SAIT to System LSI, and now MX—where I lead the development of NFF (Neural Frame Fusion) alongside prior contributions to ENSS (Exynos Neural Super Sampling) for AI-driven mobile gaming. Before joining Samsung, I earned my Ph.D. at KAIST researching machine learning for computer vision, particularly motion, optical flow, and video understanding—foundations I now bring into real-time mobile graphics.

Research interests Neural Graphics Frame Generation Optical Flow Video NeRF

Work

Education

Projects

Award

Publication

• FlowVLA: Enabling World Dynamics Understanding through Pluggable 3D Flow Learning
  Junhyeong Go Mingyu Jung Woobin Im Jongbin Ryu
  Conference on Robot Learning (CoRL)
• Visual-RRT: Finding Paths toward Visual-Goals via Differentiable Rendering
  Sebin Lee Jumin Lee Taeyeon Kim Youngju Na Woobin Im Sung-Eui Yoon
  Conference on Computer Vision and Pattern Recognition (CVPR)
• 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)
  [arxiv]
• 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

Experience