Search Results for author: Jihyeon Kim

Found 7 papers, 2 papers with code

Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction

1 code implementation CVPR 2024 Junuk Cha, Jihyeon Kim, Jae Shin Yoon, Seungryul Baek

For contact generation, a VAE-based network takes as input a text and an object mesh, and generates the probability of contacts between the surfaces of hands and the object during the interaction.

Object

VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model

no code implementations8 Mar 2024 Junsu Kim, Yunhoe Ku, Jihyeon Kim, Junuk Cha, Seungryul Baek

This technique uses Vision-Language Model (VLM) to verify the correctness of pseudo ground-truths (GTs) without requiring additional model training.

Class-Incremental Object Detection Incremental Learning +3

SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection

no code implementations CVPR 2024 Junsu Kim, Hoseong Cho, Jihyeon Kim, Yihalem Yimolal Tiruneh, Seungryul Baek

In the field of class incremental learning (CIL), generative replay has become increasingly prominent as a method to mitigate the catastrophic forgetting, alongside the continuous improvements in generative models.

Class Incremental Learning Class-Incremental Object Detection +4

Transformer-Based Unified Recognition of Two Hands Manipulating Objects

1 code implementation CVPR 2023 Hoseong Cho, Chanwoo Kim, Jihyeon Kim, Seongyeong Lee, Elkhan Ismayilzada, Seungryul Baek

In our framework, we insert the whole image depicting two hands, an object and their interactions as input and jointly estimate 3 information from each frame: poses of two hands, pose of an object and object types.

Object

Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation

no code implementations30 Oct 2022 Seongyeong Lee, Hansoo Park, Dong Uk Kim, Jihyeon Kim, Muhammadjon Boboev, Seungryul Baek

The manipulated image features are then exploited to train the hand pose estimation network via the contrastive learning framework.

3D Hand Pose Estimation Contrastive Learning +1

Sequential Movie Genre Prediction using Average Transition Probability with Clustering

no code implementations4 Nov 2021 Jihyeon Kim, Jinkyung Kim, Jaeyoung Choi

The movie genre prediction does not recommend a specific movie, but it predicts the genre for the next movie to watch in consideration of each user's preference for the movie genre based on the genre included in the movie.

Clustering Sequential Recommendation

Cannot find the paper you are looking for? You can Submit a new open access paper.