NEWS

"Improved Knowledge Distillation Based on Global Latent Workspace with Multimodal Knowledge Fusion for Understanding Topological Guidance on Wearable Sensor Data" has been accepted at IEEE TNNLS!

Prof. Jeon will join WACV 2026 (Tucson, Arizona) LENS workshop as a program committee. [link]

한국정보처리학회 ACK 2025 논문 발표, 학부연구생 신연우

"언어 기반 가이드를 통한 제한된 시야 환경에서의 도로 주행 환경 인식 성능 향상 연구"

"Image Representation-Driven Knowledge Distillation for Improved Time-Series Interpretation on Wearable Sensor Data" has been published at Sensors! [pdf]

Congratulations!🎉 2025 한국멀티미디어학회 춘계학술발표대회 우수발표상 수상, 학부연구생 정재찬, 김준수

"멀티모달 기반의 지식 증류를 활용한 시계열 데이터의 분류 성능 향상 연구"

"DCR KD: Dynamic Class Relation Knowledge Distillation for Semantic Segmentation with the Frontal-viewing Camera of Limited Field of View in an Internet of Things Environment" has been published at IEEE IoTJ! [pdf]

(Google Scholar - Computer Systems Top 1 publication) 

"Ground Reaction Force Estimation via Time-aware Knowledge Distillation" has been published at IEEE IoTJ! [pdf] [arxiv] [linkedin]

(Google Scholar - Computer Systems Top 1 publication) 

3D Gen AI Paper "MT3D" has been accepted at CVPR 2025 workshop! (AI for Content Creation Workshop)

"Intra-class Patch Swap for Self-Distillation" has been accepted at Neurocomputing! [pdf] [arxiv]

(Google Scholar - Artificial Intelligence Top 8 publication) 

Spotlight on our collaborator, GML at ASU (News) [linkedin]

"Role of Mixup in Topological KD" has been published at IEEE Sensors Journal! [pdf] [linkedin]

"Robustness of Topological Persistence for Wearable Sensor Data"  has been published at EPJ Data Science! [pdf]

3D Gen AI Paper "MT3D" for WACV 2025 has been published! [project]

(Google Scholar - computer vision & pattern recognition Top 9 publication) ASU AME

2 NeurIPS workshop papers have been published!