1 citations · 2 across the 4 of their papers we have counts for
4 papers
Learning Visual Grounding from Generative Vision and Language Model
Shijie Wang, Dahun Kim, Ali Taalimi +2
Visual grounding tasks aim to localize image regions based on natural language references. In this work, we explore whether generative VLMs predominantly trained on image-text data…
Contrastive Feature Masking Open-Vocabulary Vision Transformer
Dahun Kim, Anelia Angelova, Weicheng Kuo
We present Contrastive Feature Masking Vision Transformer (CFM-ViT) - an image-text pretraining methodology that achieves simultaneous learning of image- and region-level represent…
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
Youngjoong Kwon, Dahun Kim, Duygu Ceylan +1
We present a method that enables synthesizing novel views and novel poses of arbitrary human performers from sparse multi-view images. A key ingredient of our method is a hybrid ap…
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation
Inkyu Shin, Dahun Kim, Qihang Yu +6
Video Panoptic Segmentation (VPS) aims to achieve comprehensive pixel-level scene understanding by segmenting all pixels and associating objects in a video. Current solutions can b…