7 citations · 20 across the 6 of their papers we have counts for
6 papers · 1 filter
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding
Kangsan Kim, Geon Park, Youngwan Lee +2
Recent advancements in video large multimodal models (LMMs) have significantly improved their video understanding and reasoning capabilities. However, their performance drops on ou…
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders
Youngwan Lee, Jeffrey Willette, Jonghee Kim +2
Masked image modeling (MIM) has become a popular strategy for self-supervised learning~(SSL) of visual representations with Vision Transformers. A representative MIM model, the mas…
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification
Youngwan Lee, Hyung-Il Kim, Kimin Yun +1
Video classification researches that have recently attracted attention are the fields of temporal modeling and 3D efficient architecture. However, the temporal modeling methods are…
CenterMask : Real-Time Anchor-Free Instance Segmentation
Youngwan Lee, Jongyoul Park
We propose a simple yet efficient anchor-free instance segmentation, called CenterMask, that adds a novel spatial attention-guided mask (SAG-Mask) branch to anchor-free one stage o…
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
Youngwan Lee, Joong-won Hwang, Sangrok Lee +2
As DenseNet conserves intermediate features with diverse receptive fields by aggregating them with dense connection, it shows good performance on the object detection task. Althoug…
Rank of Experts: Detection Network Ensemble
Seung-Hwan Bae, Youngwan Lee, Youngjoo Jo +2
The recent advances of convolutional detectors show impressive performance improvement for large scale object detection. However, in general, the detection performance usually decr…