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Home/Authors/Junmo Kim

Junmo Kim

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:13 AM AMS

27

papers

484

total citations

papers (27)

Joint Negative and Positive Learning for Noisy Labels

Continual Learning With Extended Kronecker-Factored Approximate Curvature

UniCLIP: Unified Framework for Contrastive Language-Image Pre-training

NEURIPS 2022arXiv

Reinforcement Learning-Based Black-Box Model Inversion Attacks

Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement

FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection

Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery

Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning

Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View

Camera Distortion-Aware 3D Human Pose Estimation in Video With Optimization-Based Meta-Learning

DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object

EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning

Fix the Noise: Disentangling Source Feature for Controllable Domain Translation

Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective

Implicit Steganography Beyond the Constraints of Modality

Improving Generalization of Batch Whitening by Convolutional Unit Optimization

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization

Disposable Transfer Learning for Selective Source Task Unlearning

Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation

Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep

Regularization on Spatio-Temporally Smoothed Feature for Action Recognition

On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network

Weight Decay Scheduling and Knowledge Distillation for Active Learning

Preference Distillation via Value based Reinforcement Learning

NEURIPS 2025arXiv

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation

SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration