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20152023
most citedA Survey On Universal Adversarial Attack

87 citations · 190 across the 16 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.CV2021★ 5 cited

Single-Modal Entropy based Active Learning for Visual Question Answering

Dong-Jin Kim, Jae Won Cho, Jinsoo Choi +2

Constructing a large-scale labeled dataset in the real world, especially for high-level tasks (eg, Visual Question Answering), can be expensive and time-consuming. In addition, wit…

cs.CV2021★ 1 cited

Self-Supervised Real-time Video Stabilization

Jinsoo Choi, Jaesik Park, In So Kweon

Videos are a popular media form, where online video streaming has recently gathered much popularity. In this work, we propose a novel method of real-time video stabilization - tran…

cs.CV2021

Facial Depth and Normal Estimation using Single Dual-Pixel Camera

Minjun Kang, Jaesung Choe, Hyowon Ha +4

Many mobile manufacturers recently have adopted Dual-Pixel (DP) sensors in their flagship models for faster auto-focus and aesthetic image captures. Despite their advantages, resea…

cs.CV2021★ 10 cited

Deep Point Cloud Reconstruction

Jaesung Choe, Byeongin Joung, Francois Rameau +2

Point cloud obtained from 3D scanning is often sparse, noisy, and irregular. To cope with these issues, recent studies have been separately conducted to densify, denoise, and compl…

cs.CV2021★ 1 cited

PointMixer: MLP-Mixer for Point Cloud Understanding

Jaesung Choe, Chunghyun Park, Francois Rameau +2

MLP-Mixer has newly appeared as a new challenger against the realm of CNNs and transformer. Despite its simplicity compared to transformer, the concept of channel-mixing MLPs and t…

cs.CV2021★ 1 cited

Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs

Philipp Benz, Soomin Ham, Chaoning Zhang +2

Convolutional Neural Networks (CNNs) have become the de facto gold standard in computer vision applications in the past years. Recently, however, new model architectures have been…

cs.CR2021★ 6 cited

A Brief Survey on Deep Learning Based Data Hiding

Chaoning Zhang, Chenguo Lin, Philipp Benz +3

Data hiding is the art of concealing messages with limited perceptual changes. Recently, deep learning has enriched it from various perspectives with significant progress. In this…

cs.LG2021★ 87 cited

A Survey On Universal Adversarial Attack

Chaoning Zhang, Philipp Benz, Chenguo Lin +3

The intriguing phenomenon of adversarial examples has attracted significant attention in machine learning and what might be more surprising to the community is the existence of uni…