4 citations · 6 across the 10 of their papers we have counts for
10 papers
When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection
Jihyeon Kim, Sohee Kim, Soosan Lee +3
Recent generative models have largely closed the gap on low-level artifacts - pixel fingerprints, frequency anomalies, upsampling traces - particularly in person-centric and partia…
CHOP: Chunkwise Context-Preserving Framework for RAG on Multi Documents
Hyunseok Park, Jihyeon Kim, Jongeun Kim +1
Retrieval-Augmented Generation (RAG) systems lose retrieval accuracy when similar documents coexist in the vector database, causing unnecessary information, hallucinations, and fac…
OpenFS: Multi-Hand-Capable Fingerspelling Recognition with Implicit Signing-Hand Detection and Frame-Wise Letter-Conditioned Synthesis
Junuk Cha, Jihyeon Kim, Han-Mu Park
Fingerspelling is a component of sign languages in which words are spelled out letter by letter using specific hand poses. Automatic fingerspelling recognition plays a crucial role…
CoT-Pose: Chain-of-Thought Reasoning for 3D Pose Generation from Abstract Prompts
Junuk Cha, Jihyeon Kim
Recent advances in multi-modal large language models (MLLMs) and chain-of-thought (CoT) reasoning have led to significant progress in image and text generation tasks. However, the…
Leveraging 2D Masked Reconstruction for Domain Adaptation of 3D Pose Estimation
Hansoo Park, Chanwoo Kim, Jihyeon Kim +4
RGB-based 3D pose estimation methods have been successful with the development of deep learning and the emergence of high-quality 3D pose datasets. However, most existing methods d…
Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction
Junuk Cha, Jihyeon Kim, Jae Shin Yoon +1
This paper introduces the first text-guided work for generating the sequence of hand-object interaction in 3D. The main challenge arises from the lack of labeled data where existin…
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
Junsu Kim, Yunhoe Ku, Jihyeon Kim +2
In the field of Class Incremental Object Detection (CIOD), creating models that can continuously learn like humans is a major challenge. Pseudo-labeling methods, although initially…
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
Junsu Kim, Hoseong Cho, Jihyeon Kim +2
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…
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy
Junsu Kim, Sumin Hong, Chanwoo Kim +6
Class incremental learning aims to solve a problem that arises when continuously adding unseen class instances to an existing model This approach has been extensively studied in th…
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation
Seongyeong Lee, Hansoo Park, Dong Uk Kim +3
RGB-based 3D hand pose estimation has been successful for decades thanks to large-scale databases and deep learning. However, the hand pose estimation network does not operate well…