614 citations · 2.5k across the 63 of their papers we have counts for
8 papers · 1 filter
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
Mijeong Kim, Seonguk Seo, Bohyung Han
We present an information-theoretic regularization technique for few-shot novel view synthesis based on neural implicit representation. The proposed approach minimizes potential re…
Learning Debiased and Disentangled Representations for Semantic Segmentation
Sanghyeok Chu, Dongwan Kim, Bohyung Han
Deep neural networks are susceptible to learn biased models with entangled feature representations, which may lead to subpar performances on various downstream tasks. This is parti…
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform
Myungseo Song, Jinyoung Choi, Bohyung Han
We propose a versatile deep image compression network based on Spatial Feature Transform (SFT arXiv:1804.02815), which takes a source image and a corresponding quality map as input…
Unsupervised Learning of Debiased Representations with Pseudo-Attributes
Seonguk Seo, Joon-Young Lee, Bohyung Han
Dataset bias is a critical challenge in machine learning since it often leads to a negative impact on a model due to the unintended decision rules captured by spurious correlations…
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
Jinyoung Choi, Bohyung Han
We propose a framework of generative adversarial networks with multiple discriminators, which collaborate to represent a real dataset more effectively. Our approach facilitates lea…
Open-Set Representation Learning through Combinatorial Embedding
Geeho Kim, Junoh Kang, Bohyung Han
Visual recognition tasks are often limited to dealing with a small subset of classes simply because the labels for the remaining classes are unavailable. We are interested in ident…
Exemplar-Based Open-Set Panoptic Segmentation Network
Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee +1
We extend panoptic segmentation to the open-world and introduce an open-set panoptic segmentation (OPS) task. This task requires performing panoptic segmentation for not only known…
Learning Student-Friendly Teacher Networks for Knowledge Distillation
Dae Young Park, Moon-Hyun Cha, Changwook Jeong +2
We propose a novel knowledge distillation approach to facilitate the transfer of dark knowledge from a teacher to a student. Contrary to most of the existing methods that rely on e…