1 citations · 1 across the 12 of their papers we have counts for
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GCAgent: Long-Video Understanding via Schematic and Narrative Episodic Memory
Jeong Hun Yeo, Sangyun Chung, Sungjune Park +3
Long-video understanding remains a significant challenge for Multimodal Large Language Models (MLLMs) due to inherent token limitations and the complexity of capturing long-term te…
Towards Inclusive Communication: A Unified Framework for Generating Spoken Language from Sign, Lip, and Audio
Jeong Hun Yeo, Hyeongseop Rha, Sungjune Park +2
Audio is the primary modality for human communication and has driven the success of Automatic Speech Recognition (ASR) technologies. However, such audio-centric systems inherently…
Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling
Sungjune Park, Yeongyun Kim, Se Yeon Kim +1
Large Vision and Language Models (LVLMs) have shown strong performance across various vision-language tasks in natural image domains. However, their application to remote sensing (…
Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images
Sungjune Park, Hyunjun Kim, Beomchan Park +1
Despite recent advancements in computer vision research, object detection in aerial images still suffers from several challenges. One primary challenge to be mitigated is the prese…
DIP-R1: Deep Inspection and Perception with RL Looking Through and Understanding Complex Scenes
Sungjune Park, Hyunjun Kim, Junho Kim +2
MLLMs have demonstrated significant visual understanding capabilities, yet their fine-grained visual perception in complex real-world scenarios, such as densely crowded public area…