[AAAI 2025] VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for DVC

[AAAI 2025] Super-class guided Transformer for Zero-Shot Attribute Classification

[NeurIPS 2024] LLaMo: Large Language Model-based Molecular Graph Assistant

[Private video]

[NeurIPS 2024] Constant Acceleration Flow

[NeurIPS 2024] Inversion-based Latent Bayesian Optimization

[ECCV 2024 Oral] Presentation of DAVI in Milan

[ECCV 2024 Oral] Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems

[Private video]

Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis (ICML, 2024)

Retrieval-Augmented Open-Vocabulary Object Detection (CVPR 2024)

Prompt Learning via Meta-Regularization (CVPR 2024)

Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based VRD(CVPR'24)

vid-TLDR: Training Free Token merging for Light-weight Video Transformer (CVPR 2024)

Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision (CVPR 2024)

Advancing Bayesian Optimization via Learning Smooth Latent Spaces (NeurIPS 2023)

NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA (NeurIPS 2023)

Unconstrained Pose Prior-Free Neural Radiance Field (NeurIPS 2023)

Large Language Models are Temporal and Causal Reasoners for Video Question Answering (EMNLP 2023)

Read-only Prompt Optimization for Vision-Language Few-shot Learning (ICCV 2023)

Open-Vocabulary Video Question Answering (ICCV 2023)

MELTR: Meta Loss Transformer for Learning to Fine-Tune Video Foundation Models (CVPR 2023)

Self-positioning Point-based Transformer for Point Cloud Understanding (CVPR 2023)

[Private video]

Invertible Monotone Operators for Normalizing Flows (NeurIPS 2022)

SageMix: Saliency-Guided Mixup for Point Clouds (NeurIPS 2022)

TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers (NeurIPS 2022)

Video-Text representation learning via differentiable weak temporal alignment (CVPR 2022)

Consistency learning via decoding path augmentation for transformers in HOI detection (CVPR 2022)

Point WOLF: Point Cloud Augmentation with Weighted Local Transformations (ICCV'21)

Deformable GCN (AAAI'21)

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction (NeurIPS 2021)

기계학습 및 비전 연구실 (Machine Learning and Vision Lab)

MH-AUG: Metropolis-Hastings Data Augmentation for Graph Neural Networks (NeurIPS 2021)

SELAR: Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs (NeurIPS 2020)

Point Cloud Augmentation with Weighted Local Transformation (ICCV '21)