Hongjun Choi | DeepAI

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Xiangyu Zhang
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Guanhong Tao
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Dongfang Liu
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Ankita Shukla
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Sebastian Elbaum
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Dehao Chen
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Yuanzhong Xu
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∙ 04/28/2023

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving

Multi-sensor fusion (MSF) is widely adopted for perception in autonomous...

3 Zhiyuan Cheng, et al. ∙

∙ 02/27/2023

Leveraging Angular Distributions for Improved Knowledge Distillation

Knowledge distillation as a broad class of methods has led to the develo...

0 Eun Som Jeon, et al. ∙

∙ 11/08/2022

Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study

Mixup is a popular data augmentation technique based on creating new sam...

0 Hongjun Choi, et al. ∙

∙ 07/11/2022

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

Deep learning has substantially boosted the performance of Monocular Dep...

0 Zhiyuan Cheng, et al. ∙

∙ 06/21/2021

PHYSFRAME: Type Checking Physical Frames of Reference for Robotic Systems

A robotic system continuously measures its own motions and the external ...

0 Sayali Kate, et al. ∙

∙ 09/22/2020

Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification

Standard deep learning models that employ the categorical cross-entropy ...

16 Hongjun Choi, et al. ∙

∙ 04/28/2020

Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training

In data-parallel synchronous training of deep neural networks, different...

0 Yuanzhong Xu, et al. ∙

∙ 04/21/2020

AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification

Deep-learning architectures for classification problems involve the cros...

38 Hongjun Choi, et al. ∙

∙ 06/05/2019

PI-Net: A Deep Learning Approach to Extract Topological Persistence Images

Topological features such as persistence diagrams and their functional a...

0 Anirudh Som, et al. ∙

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