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Dongfang Liu

CLUSTSEG: Clustering for Universal Segmentation

May 03, 2023
James Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang

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* Accepted to ICML 2023; Code: https://github.com/JamesLiang819/ClustSeg

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TransFlow: Transformer as Flow Learner

Apr 23, 2023
Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin Chen, Dongfang Liu

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* 11 pages. Accepted by CVPR2023

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Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators

Apr 14, 2023
Hongye Xu, Dongfang Liu, Cory Merkel, Michael Zuzak

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* Accepted in GLSVLSI 2023

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Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks

Feb 08, 2023
Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang

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* Accepted at ICLR2023 (Spotlight), add code link

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Learning Equivariant Segmentation with Instance-Unique Querying

Oct 03, 2022
Wenguan Wang, James Liang, Dongfang Liu

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* Accepted to NeurIPS 2022; Code: https://github.com/JamesLiang819/Instance_Unique_Querying

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Visual Recognition with Deep Nearest Centroids

Sep 15, 2022
Wenguan Wang, Cheng Han, Tianfei Zhou, Dongfang Liu

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* 23 pages, 8 figures

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Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian

Aug 19, 2022
Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Chen

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* Proceeding with European Conference on Computer Vision (ECCV, 2022)

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