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Results 1-10 of 13 (Search time: 0.006 seconds).

NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
1
Is FGSM Optimal or Necessary for L∞ Adversarial Attack?

Zhang, Chaoning; Karjauv, Adil; Benz, Philipp; Ham, Soomin; Cho, Gyusang; Youn, Chan-Hyun; Kweon, In-So, Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges (AML-CV), Computer Vision Foundation (CVF), IEEE Computer Society, 2021-06-19

2
Backpropagating Smoothly Improves Transferability of Adversarial Examples

Zhang, Chaoning; Benz, Philipp; Cho, Gyusang; Karjauv, Adil; Ham, Soomin; Youn, Chan-Hyun; Kweon, In-So, Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges (AML-CV), Computer Vision Foundation (CVF), IEEE Computer Society, 2021-06-19

3
Double Targeted Universal Adversarial Perturbations

Benz, Philipp; Zhang, Chaoning; Imtiaz, Tooba; Kweon, In-So, 15th Asian Conference on Computer Vision, ACCV 2020, pp.284 - 300, Springer Science and Business Media Deutschland GmbH, 2021-12

4
Data-free Universal Adversarial Perturbation and Black-box Attack

Zhang, Chaoning; Benz, Philipp; Karjauv, Adil; Kweon, In-So, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.7848 - 7857, IEEE Computer Society, 2021-10-17

5
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction

Choe, Jaesung; Im, Sunghoon; Rameau, Francois; Kang, Minjun; Kweon, In-So, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.16066 - 16075, IEEE Computer Society, 2021-10-17

6
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation

Lee, Seokju; Rameau, Francois; Pan, Fei; Kweon, In-So, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.4842 - 4851, IEEE Computer Society, 2021-10-17

7
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective

Benz, Philipp; Zhang, Chaoning; Kweon, In-So, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.7798 - 7807, IEEE Computer Society, 2021-10-17

8
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation

Shin, Inkyu; Kim, Dong-Jin; Cho, Jae Won; Woo, Sanghyun; Park, KwanYong; Kweon, In-So, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.8568 - 8578, IEEE Computer Society, 2021-10-17

9
Dealing with Missing Modalities in the Visual Question Answer-Difference Prediction Task through Knowledge Distillation

Cho, Jae Won; Kim, Dong-Jin; Choi, Jinsoo; Jung, Yunjae; Kweon, In-So, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, 2021-06

10
Depth Completion using Plane-Residual Representation

Lee, ByeongUk; Lee, Kyung Hyun; Kweon, In-So, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.13911 - 13920, IEEE, 2021-06

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