7 papers
Tempered Self-Similarity Alignment for Physically Plausible Video Generation
Manjin Kim, Suha Kwak, Minsu Cho
Despite remarkable advances in video generative models, they still struggle to generate physically realistic videos, frequently exhibiting appearance drift, implausible motion, and…
Robust Promptable Video Object Segmentation
Sohyun Lee, Yeho Gwon, Lukas Hoyer +3
The performance of promptable video object segmentation (PVOS) models substantially degrades under input corruptions, which prevents PVOS deployment in safety-critical domains. Thi…
RePL: Pseudo-label Refinement for Semi-supervised LiDAR Semantic Segmentation
Donghyeon Kwon, Taegyu Park, Suha Kwak
Semi-supervised learning for LiDAR semantic segmentation often suffers from error propagation and confirmation bias caused by noisy pseudo-labels. To tackle this chronic issue, we…
Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model
Dongwon Kim, Gawon Seo, Jinsung Lee +2
World models provide a powerful framework for simulating environment dynamics conditioned on actions or instructions, enabling downstream tasks such as action planning or policy le…
Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection
Dongkeun Kim, Minsu Cho, Suha Kwak
Social interactions often emerge from subtle, fine-grained cues such as facial expressions, gaze, and gestures. However, existing methods for social interaction detection overlook…
Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
Sungyeon Kim, Donghyun Kim, Suha Kwak
A common practice in metric learning is to train and test an embedding model for each dataset. This dataset-specific approach fails to simulate real-world scenarios that involve mu…