Conferences & Journals

To check out AMI Lab's domestic publication list, please refer to this page
Information about computer vision and machine learning academic field * Top-tier conferences : CVPR, ICCV, ECCV, NeurIPS (NIPS), ICML, and ICLR are considered as high prestigious and top-tier conferences, which deem to have larger impacts than most SCI journals. According to Google scholar metrics, all these conferences are listed in the top 100 in all academic fields. Out of them, CVPR is the 5th rank (Science and Nature are the 1st and 3rd ranked) among all academic fields, In terms of the acceptance rate, oral presentations are about <4% and poster presentations about 25%, i.e., highly competitive. * Top-tier journals : IEEE TPAMI has the highest impact factor across all computer science categories. As of 2021, the impact factor of TPAMI is 24.314.
To check out AMI Lab's domestic publication list, please refer to this page



Multi-stage High Rank Pruning for Lightweight Human 3D Mesh Recovery Model

The Visual Computer Journal (TVCJ), 2023 (IF 2.835)
Dong Hun Ryou, Kim Youwang, Tae-Hyun Oh

GL-Transformer: Globality-Enhanced Motion Transformer for Unsupervised Skeleton-Based Action Learning

Under review - IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Boeun Kim, Jungho Kim, Hyung Jin Chang, Tae-Hyun Oh*, Jin Young Choi*

ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation

Under review - IEEE Transactions on Image Processing (TIP)
Moon Ye-Bin, Dongmin Choi, Yongjin Kwon, Junsik Kim, Tae-Hyun Oh

Adversarial Semi-Supervised Image Captioning

Under review - IEEE Transactions on Image Processing (TIP)
Dong-Jin Kim, Tae-Hyun Oh, Jinsoo Choi, In So Kweon

An Iterative Method for Unsupervised Robust Anomaly Detection under Data Contamination

Under revision - IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi

Joint Video Super-Resolution and Frame Interpolation via Permutation Invariance

Under review - Sensors
Jinsoo Choi, Tae-Hyun Oh

On the Simpleness of Synthetic Data for Learning Accurate Optical Flow Estimation

Under review - Sensors
Kwon Byung-Ki, Kim Sung-Bin, Tae-Hyun Oh


DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline

International Conference on Learning Representations (ICLR) 2023
Kwon Byung-Ki, Nam Hyeon-Woo, Kim Ji-Yun, Tae-Hyun Oh
* Bronze Award, HumanTech Paper Award by Samsung

FPGA-Based Accelerator for Rank-Enhanced and Highly-Pruned Block-Circulant Neural Networks

Design Automation and Test in Europe (DATE) 2023 (Accept. rate < 25%)
Haena Song, Jongho Yoon, Dohun Kim, Eunji Kwon, Tae-Hyun Oh, Seokhyeong Kang

A Two Phase Approach for Pedestrian Detection

Workshop in conjunction with the 12th Asian Conference on Computer Vision (ACCVW) 2014
SoonMin Hwang, Tae-Hyun Oh, In So Kweon



Partial Sum Minimization of Singular Values in RPCA for Low-Level Vision

IEEE International Conference on Computer Vision (ICCV) 2013 [PDF]
Tae-Hyun Oh, Hyeongwoo Kim, Yu-Wing Tai, Jean-Chales Bazin, In So Kweon

High Dynamic Range Imaging by a Rank-1 Constraint

IEEE International Conference on Image Processing (ICIP) 2013 [PDF] [Code]
Tae-Hyun Oh, Joon-Young Lee, In So Kweon

Hierarchical 3D Line Restoration based on Angular Proximity in Structured Environments

IEEE International Conference on Image Processing (ICIP) 2013 [PDF]
Kyungdon Joo, Tae-Hyun Oh, Hyeongwoo Kim, In So Kweon



Autonomous Homing based on Laser-Camera Fusion System

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2012 [PDF]
Dong-Geol Choi, Inwook Shim, Yunsu Bok, Tae-Hyun Oh, In So Kweon

A Tensor Voting Approach for Multi-View 3D Scene Flow Estimation and Refinement

European Conference on Computer Vision (ECCV) 2012 [PDF]
Jaesik Park, Tae-Hyun Oh, Jiyoung Jung, Yu-Wing Tai, In So Kweon

Real-Time Motion Detection based on Discrete Cosine Transform

IEEE International Conference on Image Processing (ICIP) 2012 [PDF]
Tae-Hyun Oh, Joon-Young Lee, In So Kweon