no code implementations • 8 May 2024 • Yeon-Koo Che, Jinwoo Kim, Konrad Mierendorff
We study law enforcement guided by data-informed predictions of "hot spots" for likely criminal offenses.
no code implementations • 28 Feb 2024 • Dongyoung Kim, Jinwoo Kim, Junsang Yu, Seon Joo Kim
White balance (WB) algorithms in many commercial cameras assume single and uniform illumination, leading to undesirable results when multiple lighting sources with different chromaticities exist in the scene.
1 code implementation • 13 Nov 2023 • Tien Dat Nguyen, Jinwoo Kim, Hongseok Yang, Seunghoon Hong
We present a general framework for symmetrizing an arbitrary neural-network architecture and making it equivariant with respect to a given group.
no code implementations • 13 Oct 2023 • Jinwoo Kim, Janghyuk Choi, Jaehyun Kang, Changyeon Lee, Ho-Jin Choi, Seon Joo Kim
The binding problem in artificial neural networks is actively explored with the goal of achieving human-level recognition skills through the comprehension of the world in terms of symbol-like entities.
no code implementations • 8 Sep 2023 • Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee
Pretraining molecular representations from large unlabeled data is essential for molecular property prediction due to the high cost of obtaining ground-truth labels.
1 code implementation • NeurIPS 2023 • Jinwoo Kim, Tien Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong
In contrary to equivariant architectures, we use an arbitrary base model such as an MLP or a transformer and symmetrize it to be equivariant to the given group by employing a small equivariant network that parameterizes the probabilistic distribution underlying the symmetrization.
Ranked #1 on Link Prediction on PCQM-Contact (using extra training data)
1 code implementation • 7 May 2023 • Jinghao Xin, Jinwoo Kim, Zhi Li, Ning li
Meanwhile, the Sparrow simulator utilizes a 2D grid-based world, simplified kinematics, and conversion-free data flow to achieve a lightweight design.
Ranked #1 on Atari Games on Atari 2600 Pong
1 code implementation • CVPR 2023 • Jinwoo Kim, Janghyuk Choi, Ho-Jin Choi, Seon Joo Kim
Object-centric learning (OCL) aspires general and compositional understanding of scenes by representing a scene as a collection of object-centric representations.
1 code implementation • 27 Mar 2023 • Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong
We propose Visual Token Matching (VTM), a universal few-shot learner for arbitrary dense prediction tasks.
1 code implementation • 27 Oct 2022 • Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
The forward and backward cost are thus linear to the number of edges, which each attention head can also choose flexibly based on the input.
1 code implementation • 22 Aug 2022 • Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong
Many problems in computer vision and machine learning can be cast as learning on hypergraphs that represent higher-order relations.
1 code implementation • 6 Jul 2022 • Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
We show that standard Transformers without graph-specific modifications can lead to promising results in graph learning both in theory and practice.
Ranked #15 on Graph Regression on PCQM4Mv2-LSC
1 code implementation • CVPR 2022 • Jinwoo Kim, Heeseok Oh, Seongjean Kim, Hoseok Tong, SangHoon Lee
When coming up with phrases of movement, choreographers all have their habits as they are used to their skilled dance genres.
Ranked #5 on Motion Synthesis on FineDance
no code implementations • CVPR 2022 • Hyolim Kang, Jinwoo Kim, Taehyun Kim, Seon Joo Kim
Generic Event Boundary Detection (GEBD) is a newly suggested video understanding task that aims to find one level deeper semantic boundaries of events.
no code implementations • 29 Nov 2021 • Hyolim Kang, Jinwoo Kim, Taehyun Kim, Seon Joo Kim
Generic Event Boundary Detection (GEBD) is a newly suggested video understanding task that aims to find one level deeper semantic boundaries of events.
2 code implementations • NeurIPS 2021 • Jinwoo Kim, Saeyoon Oh, Seunghoon Hong
We present a generalization of Transformers to any-order permutation invariant data (sets, graphs, and hypergraphs).
Ranked #5 on Graph Regression on PCQM4M-LSC (Validation MAE metric)
no code implementations • 28 Jul 2021 • Cheng Zhang, Jinwoo Kim, JungHo Jeon, Jinding Xing, Changbum Ahn, Pingbo Tang, Hubo Cai
This paper will lay the foundation for identifying relevant studies to form a research roadmap to address the four knowledge gaps identified.
1 code implementation • 22 Jun 2021 • Hyolim Kang, Jinwoo Kim, KyungMin Kim, Taehyun Kim, Seon Joo Kim
Generic Event Boundary Detection (GEBD) is a newly introduced task that aims to detect "general" event boundaries that correspond to natural human perception.
1 code implementation • NeurIPS 2021 • Jinwoo Kim, Saeyoon Oh, Seunghoon Hong
We present a generalization of Transformers to any-order permutation invariant data (sets, graphs, and hypergraphs).
2 code implementations • CVPR 2021 • Jinwoo Kim, Jaehoon Yoo, Juho Lee, Seunghoon Hong
Generative modeling of set-structured data, such as point clouds, requires reasoning over local and global structures at various scales.
Ranked #3 on Point Cloud Generation on ShapeNet Car
1 code implementation • ICCV 2021 • Dongyoung Kim, Jinwoo Kim, Seonghyeon Nam, Dongwoo Lee, Yeonkyung Lee, Nahyup Kang, Hyong-Euk Lee, ByungIn Yoo, Jae-Joon Han, Seon Joo Kim
Images in our dataset are mostly captured with illuminants existing in the scene, and the ground truth illumination is computed by taking the difference between the images with different illumination combination.
no code implementations • 25 Aug 2020 • Yeon-Koo Che, Jinwoo Kim, Fuhito Kojima, Christopher Thomas Ryan
We characterize Pareto optimality via "near" weighted utilitarian welfare maximization.
no code implementations • 15 Nov 2019 • Yeon-Koo Che, Jinwoo Kim, Fuhito Kojima
We develop a theory of monotone comparative statics based on weak set order -- in short, weak monotone comparative statics -- and identify the enabling conditions in the context of individual choices, Pareto optimal choices% for a coalition of agents, Nash equilibria of games, and matching theory.
no code implementations • ICCV 2019 • Jinwoo Kim, Woojae Kim, Heeseok Oh, Seongmin Lee, Sanghoon Lee
Then, a convolutional neural network (CNN) is applied to encode the cognitive representation of the EEG spectrogram.
no code implementations • ECCV 2018 • Woojae Kim, Jongyoo Kim, Sewoong Ahn, Jinwoo Kim, Sang-Hoon Lee
Incorporating spatio-temporal human visual perception into video quality assessment (VQA) remains a formidable issue.