Junmo Kim
71 papers · 2013–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (100) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(24)
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(13)
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Dynamic Duo
(10)
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Topic Evolution
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Keyword Pioneer
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Trend Setter
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Unstoppable Β· Silver
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Prolific Year Β· Prolific
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Keyword Collector
(343)
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Renaissance Researcher
(7)
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Century Club Β· Silver
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Conference Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(49)
Machine Learning
(44)
Computer Vision
(33)
Artificial Intelligence
(24)
Learning Types Β· Deep Learning
(23)
Learning Types Β· Machine Learning
(22)
Analysis
(20)
Application Areas
(20)
Core AI
(17)
Architectures
(16)
Models
(13)
Techniques
(12)
Core Methods
(9)
Optimization & Theory
(9)
Learning Paradigms
(8)
Keywords
convolutional neural network
(11)
diffusion model
(7)
transfer learning
(5)
self-supervised learning
(5)
deep neural network
(5)
object detection
(4)
image segmentation
(4)
image classification
(4)
representation learning
(4)
unsupervised learning
(4)
residual network
(3)
contrastive learning
(3)
neural network
(3)
knowledge transfer
(3)
model compression
(3)
neural network optimization
(3)
image generation
(3)
feature extraction
(3)
convex relaxation
(3)
catastrophic forgetting
(2)
Papers
ConceptPrism: Concept Disentanglement in Personalized Diffusion Models via Residual Token Optimization
CVPR 2026
Cross-Axis Feature Fusion with Joint-Wise Motion Difference Prediction for Text-Based 3D Human Motion Editing
CVPR 2026
Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens
ACL 2026
PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion
CVPR 2026
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
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
WACV 2025
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation
ICCV 2025
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
ICCV 2025
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation
CVPR 2025
FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition
Interspeech 2025
InfiniteAudio: Infinite-Length Audio Generation with Consistency
Interspeech 2025
Reducing the Content Bias for AI-Generated Image Detection
WACV 2025
SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration
ICCV 2025
AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning
Interspeech 2024
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
ICML 2024
Expanding Expressiveness of Diffusion Models With Limited Data via Self-Distillation Based Fine-Tuning
WACV 2024
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective
AAAI 2024
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection
AAAI 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
CVPR 2024
Implicit Steganography Beyond the Constraints of Modality
ECCV 2024
Learning Neural Deformation Representation for 4D Dynamic Shape Generation
ECCV 2024
Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
AAAI 2024
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
EMNLP 2024
Real-Time Polyp Detection in Colonoscopy Using Lightweight Transformer
WACV 2024
Self-supervised Transformation Learning for Equivariant Representations
NeurIPS 2024
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model
EMNLP 2024
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance
NeurIPS 2024
Disposable Transfer Learning for Selective Source Task Unlearning
ICCV 2023
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation
CVPR 2023
Frequency Selective Augmentation for Video Representation Learning
AAAI 2023
Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View
CVPR 2023
I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images
WACV 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
Cyclic test time augmentation with entropy weight method
UAI 2022
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning
ECCV 2022
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network
ECCV 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
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
NeurIPS 2022
Camera Distortion-Aware 3D Human Pose Estimation in Video With Optimization-Based Meta-Learning
ICCV 2021
De-Biasing Neural Networks With Estimated Offset for Class Imbalanced Learning
WACV 2021
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
AAAI 2021
Improving Generalization of Batch Whitening by Convolutional Unit Optimization
ICCV 2021
Joint Negative and Positive Learning for Noisy Labels
CVPR 2021
Linearly Replaceable Filters for Deep Network Channel Pruning
AAAI 2021
Patch-Wise Attention Network for Monocular Depth Estimation
AAAI 2021
Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning
ICCV 2021
Continual Learning With Extended Kronecker-Factored Approximate Curvature
CVPR 2020
Regularization on Spatio-Temporally Smoothed Feature for Action Recognition
CVPR 2020
Residual Continual Learning
AAAI 2020
Weight Decay Scheduling and Knowledge Distillation for Active Learning
ECCV 2020
Learning Not to Learn: Training Deep Neural Networks With Biased Data
CVPR 2019
NLNL: Negative Learning for Noisy Labels
ICCV 2019
Constructing Fast Network through Deconstruction of Convolution
NeurIPS 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
A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning
CVPR 2017
Deep Pyramidal Residual Networks
CVPR 2017
Deep Saliency With Encoded Low Level Distance Map and High Level Features
CVPR 2016
Entropy Minimization for Convex Relaxation Approaches
ICCV 2015
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition
ICCV 2015
Rotating Your Face Using Multi-Task Deep Neural Network
CVPR 2015
Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection
CVPR 2015
A Convex Relaxation of the Ambrosio--Tortorelli Elliptic Functionals for the Mumford-Shah Functional
CVPR 2014
Rigid Motion Segmentation using Randomized Voting
CVPR 2014
Salient Region Detection via High-Dimensional Color Transform
CVPR 2014
Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation
CVPR 2014
Markov Network-Based Unified Classifier for Face Identification
ICCV 2013