b'Minsu Cho'

research

∙ 07/07/2023

Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification Segmentation

We address the task of weakly-supervised few-shot image classification a...

0 Dahyun Kang, et al. ∙

research

∙ 06/20/2023

Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning

Learning to predict reliable characteristic orientations of 3D point clo...

0 Seungwook Kim, et al. ∙

research

∙ 04/11/2023

Relational Context Learning for Human-Object Interaction Detection

Recent state-of-the-art methods for HOI detection typically build on tra...

0 Sanghyun Kim, et al. ∙

research

∙ 04/07/2023

Devil's on the Edges: Selective Quad Attention for Scene Graph Generation

Scene graph generation aims to construct a semantic graph structure from...

0 Deunsol Jung, et al. ∙

research

∙ 03/25/2023

Learning Rotation-Equivariant Features for Visual Correspondence

Extracting discriminative local features that are invariant to imaging v...

0 Jongmin Lee, et al. ∙

research

∙ 11/23/2022

Generalizable Implicit Neural Representations via Instance Pattern Composers

Despite recent advances in implicit neural representations (INRs), it re...

0 Chiheon Kim, et al. ∙

research

∙ 11/14/2022

Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval

Metric learning aims to build a distance metric typically by learning an...

0 Deunsol Jung, et al. ∙

research

∙ 11/11/2022

Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks

Temporal Action Localization (TAL) methods typically operate on top of f...

0 Hyolim Kang, et al. ∙

research

∙ 10/03/2022

Sequential Brick Assembly with Efficient Constraint Satisfaction

We address the problem of generating a sequence of LEGO brick assembly w...

31 Seokjun Ahn, et al. ∙

research

∙ 08/11/2022

Towards Sequence-Level Training for Visual Tracking

Despite the extensive adoption of machine learning on the task of visual...

2 Minji Kim, et al. ∙

research

∙ 06/17/2022

Revisiting Self-Distillation

Knowledge distillation is the procedure of transferring "knowledge" from...

4 Minh Pham, et al. ∙

research

∙ 06/15/2022

Self-Supervised Learning of Image Scale and Orientation

We study the problem of learning to assign a characteristic pose, i.e., ...

0 Jongmin Lee, et al. ∙

research

∙ 06/14/2022

Peripheral Vision Transformer

Human vision possesses a special type of visual processing systems calle...

0 Juhong Min, et al. ∙

research

∙ 06/09/2022

Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer

Although autoregressive models have achieved promising results on image ...

0 Doyup Lee, et al. ∙

research

∙ 05/27/2022

Future Transformer for Long-term Action Anticipation

The task of predicting future actions from a video is crucial for a real...

0 Dayoung Gong, et al. ∙

research

∙ 05/24/2022

Learning to Assemble Geometric Shapes

Assembling parts into an object is a combinatorial problem that arises i...

0 Jinhwi Lee, et al. ∙

research

∙ 05/23/2022

TransforMatcher: Match-to-Match Attention for Semantic Correspondence

Establishing correspondences between images remains a challenging task, ...

0 Seungwook Kim, et al. ∙

research

∙ 05/12/2022

Smooth-Reduce: Leveraging Patches for Improved Certified Robustness

Randomized smoothing (RS) has been shown to be a fast, scalable techniqu...

14 Ameya Joshi, et al. ∙

research

∙ 05/04/2022

Self-Taught Metric Learning without Labels

We present a novel self-taught framework for unsupervised metric learnin...

15 Sungyeon Kim, et al. ∙

research

∙ 04/19/2022

Self-Supervised Equivariant Learning for Oriented Keypoint Detection

Detecting robust keypoints from an image is an integral part of many com...

2 Jongmin Lee, et al. ∙

research

∙ 04/05/2022

Detector-Free Weakly Supervised Group Activity Recognition

Group activity recognition is the task of understanding the activity con...

0 Dongkeun Kim, et al. ∙

research

∙ 03/31/2022

Reflection and Rotation Symmetry Detection via Equivariant Learning

The inherent challenge of detecting symmetries stems from arbitrary orie...

0 Ahyun Seo, et al. ∙

research

∙ 03/29/2022

Integrative Few-Shot Learning for Classification and Segmentation

We introduce the integrative task of few-shot classification and segment...

0 Dahyun Kang, et al. ∙

research

∙ 03/03/2022

Autoregressive Image Generation using Residual Quantization

For autoregressive (AR) modeling of high-resolution images, vector quant...

0 Doyup Lee, et al. ∙

research

∙ 02/04/2022

Selective Network Linearization for Efficient Private Inference

Private inference (PI) enables inference directly on cryptographically s...

1 Minsu Cho, et al. ∙

research

∙ 01/17/2022

Contrastive Regularization for Semi-Supervised Learning

Consistency regularization on label predictions becomes a fundamental te...

0 Doyup Lee, et al. ∙

research

∙ 12/09/2021

Fast Point Transformer

The recent success of neural networks enables a better interpretation of...

0 Chunghyun Park, et al. ∙

research

∙ 11/29/2021

Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation

Semi-supervised domain adaptation (SSDA) is to adapt a learner to a new ...

0 Jeongbeen Yoon, et al. ∙

research

∙ 11/02/2021

Relational Self-Attention: What's Missing in Attention for Video Understanding

Convolution has been arguably the most important feature transform for m...

0 Manjin Kim, et al. ∙

research

∙ 11/01/2021

Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training

Conditional Generative Adversarial Networks (cGAN) generate realistic im...

19 Minguk Kang, et al. ∙

research

∙ 10/29/2021

Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning

Discovering a solution in a combinatorial space is prevalent in many rea...

0 Hyunsoo Chung, et al. ∙

research

∙ 10/04/2021

Differentiable Spline Approximations

The paradigm of differentiable programming has significantly enhanced th...

24 Minsu Cho, et al. ∙

research

∙ 09/11/2021

Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence

Despite advances in feature representation, leveraging geometric relatio...

14 Juhong Min, et al. ∙

research

∙ 09/09/2021

Deep Hough Voting for Robust Global Registration

Point cloud registration is the task of estimating the rigid transformat...

8 Junha Lee, et al. ∙

research

∙ 08/31/2021

Self-Calibrating Neural Radiance Fields

In this work, we propose a camera self-calibration algorithm for generic...

7 Yoonwoo Jeong, et al. ∙

research

∙ 08/30/2021

Learning to Discover Reflection Symmetry via Polar Matching Convolution

The task of reflection symmetry detection remains challenging due to sig...

10 Ahyun Seo, et al. ∙

research

∙ 08/22/2021

Relational Embedding for Few-Shot Classification

We propose to address the problem of few-shot classification by meta-lea...

4 Dahyun Kang, et al. ∙

research

∙ 06/17/2021

Sphynx: ReLU-Efficient Network Design for Private Inference

The emergence of deep learning has been accompanied by privacy concerns ...

0 Minsu Cho, et al. ∙

research

∙ 04/04/2021

Hypercorrelation Squeeze for Few-Shot Segmentation

Few-shot semantic segmentation aims at learning to segment a target obje...

20 Juhong Min, et al. ∙

research

∙ 03/31/2021

Convolutional Hough Matching Networks

Despite advances in feature representation, leveraging geometric relatio...

1 Juhong Min, et al. ∙

research

∙ 03/27/2021

Embedding Transfer with Label Relaxation for Improved Metric Learning

This paper presents a novel method for embedding transfer, a task of tra...

0 Sungyeon Kim, et al. ∙

research

∙ 02/14/2021

Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition

Spatio-temporal convolution often fails to learn motion dynamics in vide...

0 Heeseung Kwon, et al. ∙

research

∙ 11/26/2020

Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope

Bayesian optimization is a popular method for solving the problem of glo...

0 Jungtaek Kim, et al. ∙

research

∙ 11/25/2020

CircleGAN: Generative Adversarial Learning across Spherical Circles

We present a novel discriminator for GANs that improves realness and div...

0 Woohyeon Shim, et al. ∙

research

∙ 09/09/2020

Diversified Mutual Learning for Deep Metric Learning

Mutual learning is an ensemble training strategy to improve generalizati...

0 Wonpyo Park, et al. ∙

research

∙ 07/21/2020

Learning to Compose Hypercolumns for Visual Correspondence

Feature representation plays a crucial role in visual correspondence, an...

1 Juhong Min, et al. ∙

research

∙ 07/20/2020

MotionSqueeze: Neural Motion Feature Learning for Video Understanding

Motion plays a crucial role in understanding videos and most state-of-th...

0 Heeseung Kwon, et al. ∙

research

∙ 07/13/2020

IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos

Most current action recognition methods heavily rely on appearance infor...

0 Gyeongsik Moon, et al. ∙

research

∙ 07/07/2020

Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery

In this paper, we study two important problems in the automated design o...

40 Minsu Cho, et al. ∙

research

∙ 06/28/2020

ESPN: Extremely Sparse Pruned Networks

Deep neural networks are often highly overparameterized, prohibiting the...

17 Minsu Cho, et al. ∙

Minsu Cho

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