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20152022
most citedLearning Deconvolution Network for Semantic Segmentation

614 citations · 1.5k across the 23 of their papers we have counts for

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21 papers · 1 filter

cs.CV2022

Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking

Ilchae Jung, Minji Kim, Eunhyeok Park +1

This paper presents a novel hybrid representation learning framework for streaming data, where an image frame in a video is modeled by an ensemble of two distinct deep neural netwo…

cs.CV2022

Class-Incremental Learning for Action Recognition in Videos

Jaeyoo Park, Minsoo Kang, Bohyung Han

We tackle catastrophic forgetting problem in the context of class-incremental learning for video recognition, which has not been explored actively despite the popularity of continu…

cs.CV2022

Learning to Adapt to Unseen Abnormal Activities under Weak Supervision

Jaeyoo Park, Junha Kim, Bohyung Han

We present a meta-learning framework for weakly supervised anomaly detection in videos, where the detector learns to adapt to unseen types of abnormal activities effectively when o…

cs.CV2022

Learning Semantic Segmentation from Multiple Datasets with Label Shifts

Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh +4

With increasing applications of semantic segmentation, numerous datasets have been proposed in the past few years. Yet labeling remains expensive, thus, it is desirable to jointly…

cs.CV20215 cited

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…

cs.CV20213 cited

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…