Junho Kim

47 papers · 2020–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (9) 🗺️ Taxonomy Completionist (103) 🤝 Dynamic Duo (14) ⚡ Prolific Year (11) 🔥 Unstoppable (6) ❓ The Questioner 💎 Century Club (47) 🗃️ Keyword Collector (216) 📈 Trend Setter

Conferences

CVPR (9) EMNLP (9) ICCV (9) ACL (5) ICLR (5) ECCV (4) NIPS (3) WACV (2) AAAI (1)

Top co-authors

SangKeun Lee (14) Young Min Kim (11) Jun-Hyung Park (10) Yunjey Choi (7) Yong Man Ro (7) Mingyu Lee (7) Yeachan Kim (5) Hyunsu Kim (5) Gayoung Lee (4) Joon-Young Choi (4)

Keywords

model compression (4) large language model (4) language model (4) self-supervised learning (4) text-to-image generation (3) diffusion model (3) representation learning (3) knowledge distillation (3) domain adaptation (3) adversarial robustness (3) scene understanding (3) event camera (3) generative model (2) causal inference (2) dynamic routing (2) test-time adaptation (2) pose estimation (2) curriculum learning (2) object recognition (2) image editing (2)

Papers

CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models ICCV 2025

“Going to a trap house” conveys more fear than “Going to a mall”: Benchmarking Emotion Context Sensitivity for LLMs EMNLP 2025

Connecting the Knowledge Dots: Retrieval-augmented Knowledge Connection for Commonsense Reasoning EMNLP 2025

StyleKeeper: Prevent Content Leakage using Negative Visual Query Guidance ICCV 2025

Learning 3D Scene Analogies with Neural Contextual Scene Maps ICCV 2025

Incorporating Domain Knowledge into Materials Tokenization ACL 2025

SALOVA: Segment-Augmented Long Video Assistant for Targeted Retrieval and Routing in Long-Form Video Analysis CVPR 2025

Enhancing Creative Generation on Stable Diffusion-based Models CVPR 2025

MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science EMNLP 2024

CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models NIPS 2024

Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NIPS 2024

Fully Geometric Panoramic Localization CVPR 2024

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation ICLR 2024

Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning ACL 2024

Coconut: Contextualized Commonsense Unified Transformers for Graph-Based Commonsense Augmentation of Language Models ACL 2024

Mentor-KD: Making Small Language Models Better Multi-step Reasoners EMNLP 2024

What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal Models EMNLP 2024

Calibrating Panoramic Depth Estimation for Practical Localization and Mapping ICCV 2023

SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts EMNLP 2023

Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023

Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing EMNLP 2023

Ev-NeRF: Event Based Neural Radiance Field WACV 2023

Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance ICLR 2023

Dynamic Structure Pruning for Compressing CNNs AAAI 2023

LDL: Line Distance Functions for Panoramic Localization ICCV 2023

Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding CVPR 2023

Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023

Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images ICLR 2023

Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning ICCV 2023

Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking EMNLP 2022

Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference ACL 2022

Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition CVPR 2022

Feature Statistics Mixing Regularization for Generative Adversarial Networks CVPR 2022

Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network CVPR 2022

CPO: Change Robust Panorama to Point Cloud Localization ECCV 2022

Generator Knows What Discriminator Should Learn in Unconditional GANs ECCV 2022

MoDA: Map Style Transfer for Self-Supervised Domain Adaptation of Embodied Agents ECCV 2022

Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network EMNLP 2022

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks ICLR 2022

Self-Supervised Domain Adaptation for Visual Navigation With Global Map Consistency WACV 2022

Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck NIPS 2021

Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing CVPR 2021

PICCOLO: Point Cloud-Centric Omnidirectional Localization ICCV 2021

CTRL-C: Camera Calibration TRansformer With Line-Classification ICCV 2021

N-ImageNet: Towards Robust, Fine-Grained Object Recognition With Event Cameras ICCV 2021

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation ICLR 2020

Neural Geometric Parser for Single Image Camera Calibration ECCV 2020