Junmo Kim

Tailored ViT Slimming: Budget-Aware Multi-Dimensional Sparsity Regularization for Vision Transformers Pruning (Student Abstract) AAAI 2026 Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens ACL 2026 AH-OCDA: Amplitude-Based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation WACV 2025 DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ICCV 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 Reducing the Content Bias for AI-Generated Image Detection WACV 2025 Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation ICCV 2025 Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis WACV 2025 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 Implicit Steganography Beyond the Constraints of Modality ECCV 2024 Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality EMNLP 2024 Self-supervised Transformation Learning for Equivariant Representations NIPS 2024 AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning INTERSPEECH 2024 StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP 2024 Learning Neural Deformation Representation for 4D Dynamic Shape Generation ECCV 2024 EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning ICML 2024 ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR 2024 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 Reinforcement Learning-Based Black-Box Model Inversion Attacks 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 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 On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network ECCV 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 Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement CVPR 2022 DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning ECCV 2022 Camera Distortion-Aware 3D Human Pose Estimation in Video With Optimization-Based Meta-Learning 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 Improving Generalization of Batch Whitening by Convolutional Unit Optimization ICCV 2021 Regularization on Spatio-Temporally Smoothed Feature for Action Recognition CVPR 2020 Residual Continual Learning AAAI 2020 Continual Learning With Extended Kronecker-Factored Approximate Curvature 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