← Authors

Junmo Kim

65 papers · 2013–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (102) 🏠 Conference Loyalist (21) πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸ† Keyword Champion πŸ’Ž Century Club (64) πŸ”₯ Unstoppable (13) ⚑ Prolific Year (14) πŸ—ƒοΈ Keyword Collector (307) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter

Conferences

CVPR (21) ICCV (12) AAAI (9) WACV (9) ECCV (5) NIPS (4) EMNLP (2) ICML (1) INTERSPEECH (1) UAI (1)

Top co-authors

Jaehyun Choi (9) Janghyeon Lee (9) Hyounguk Shon (8) Dong-Jae Lee (6) Hanbyel Cho (6) Jae Young Lee (6) Yooshin Cho (5) Hyeong Gwon Hong (5) Gyojin Han (5) Jiwan Hur (5)

Research topics

Privacy (2) Core AI (1)

Keywords

convolutional neural network (11) transfer learning (5) diffusion model (5) self-supervised learning (5) deep neural network (5) object detection (4) image classification (4) unsupervised learning (4) image segmentation (4) residual network (3) neural network (3) neural network optimization (3) model compression (3) convex relaxation (3) feature extraction (3) representation learning (3) knowledge transfer (3) image generation (3) catastrophic forgetting (2) continual learning (2)

Papers

Tailored ViT Slimming: Budget-Aware Multi-Dimensional Sparsity Regularization for Vision Transformers Pruning (Student Abstract) AAAI 2026
AH-OCDA: Amplitude-Based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation WACV 2025
SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration ICCV 2025
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation CVPR 2025
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation ICCV 2025
Reducing the Content Bias for AI-Generated Image Detection WACV 2025
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis WACV 2025
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ICCV 2025
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection AAAI 2024
Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep AAAI 2024
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective AAAI 2024
Expanding Expressiveness of Diffusion Models With Limited Data via Self-Distillation Based Fine-Tuning WACV 2024
Real-Time Polyp Detection in Colonoscopy Using Lightweight Transformer WACV 2024
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance NIPS 2024
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP 2024
AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning INTERSPEECH 2024
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning ICML 2024
Self-supervised Transformation Learning for Equivariant Representations NIPS 2024
Implicit Steganography Beyond the Constraints of Modality ECCV 2024
Learning Neural Deformation Representation for 4D Dynamic Shape Generation ECCV 2024
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality EMNLP 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR 2024
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation CVPR 2023
Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View CVPR 2023
Frequency Selective Augmentation for Video Representation Learning AAAI 2023
I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images WACV 2023
Disposable Transfer Learning for Selective Source Task Unlearning ICCV 2023
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery ICCV 2023
Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement CVPR 2022
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training NIPS 2022
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks WACV 2022
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection WACV 2022
Cyclic test time augmentation with entropy weight method UAI 2022
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network ECCV 2022
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning ECCV 2022
Improving Generalization of Batch Whitening by Convolutional Unit Optimization ICCV 2021
Joint Negative and Positive Learning for Noisy Labels CVPR 2021
De-Biasing Neural Networks With Estimated Offset for Class Imbalanced Learning WACV 2021
Linearly Replaceable Filters for Deep Network Channel Pruning AAAI 2021
Patch-Wise Attention Network for Monocular Depth Estimation AAAI 2021
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation AAAI 2021
Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning ICCV 2021
Camera Distortion-Aware 3D Human Pose Estimation in Video With Optimization-Based Meta-Learning ICCV 2021
Continual Learning With Extended Kronecker-Factored Approximate Curvature CVPR 2020
Residual Continual Learning AAAI 2020
Regularization on Spatio-Temporally Smoothed Feature for Action Recognition CVPR 2020
Weight Decay Scheduling and Knowledge Distillation for Active Learning ECCV 2020
NLNL: Negative Learning for Noisy Labels ICCV 2019
Learning Not to Learn: Training Deep Neural Networks With Biased Data CVPR 2019
Constructing Fast Network through Deconstruction of Convolution NIPS 2018
Generating a Fusion Image: One's Identity and Another's Shape CVPR 2018
Active Convolution: Learning the Shape of Convolution for Image Classification CVPR 2017
Deep Pyramidal Residual Networks CVPR 2017
A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning CVPR 2017
Deep Saliency With Encoded Low Level Distance Map and High Level Features CVPR 2016
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition ICCV 2015
Entropy Minimization for Convex Relaxation Approaches ICCV 2015
Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection CVPR 2015
Rotating Your Face Using Multi-Task Deep Neural Network CVPR 2015
Rigid Motion Segmentation using Randomized Voting CVPR 2014
Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation CVPR 2014
A Convex Relaxation of the Ambrosio--Tortorelli Elliptic Functionals for the Mumford-Shah Functional CVPR 2014
Salient Region Detection via High-Dimensional Color Transform CVPR 2014
Markov Network-Based Unified Classifier for Face Identification ICCV 2013