214 citations · 712 across the 42 of their papers we have counts for
7 papers · 1 filter
RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts
Jinyoung Park, Minseok Son, Seungju Cho +2
This paper presents a solution to the Weather4cast 2022 Challenge Stage 2. The goal of the challenge is to forecast future high-resolution rainfall events obtained from ground rada…
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition
Minki Jeong, Changick Kim
Real-world data often have a long-tailed distribution, where the number of samples per class is not equal over training classes. The imbalanced data form a biased feature space, wh…
Towards Good Practices for Missing Modality Robust Action Recognition
Sangmin Woo, Sumin Lee, Yeonju Park +2
Standard multi-modal models assume the use of the same modalities in training and inference stages. However, in practice, the environment in which multi-modal models operate may no…
Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis
Byeongjun Park, Hyojun Go, Changick Kim
Creating novel views from a single image has achieved tremendous strides with advanced autoregressive models, as unseen regions have to be inferred from the visible scene contents.…
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images
Jeongsoo Kim, Sangmin Woo, Byeongjun Park +1
Camera traps, unmanned observation devices, and deep learning-based image recognition systems have greatly reduced human effort in collecting and analyzing wildlife images. However…
Modality Mixer for Multi-modal Action Recognition
Sumin Lee, Sangmin Woo, Yeonju Park +2
In multi-modal action recognition, it is important to consider not only the complementary nature of different modalities but also global action content. In this paper, we propose a…