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Kunyang Sun
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2020 – today
- 2024
- [c6]Wei Huang, Xueqing Huang, Haiyang Zhang, Kunyang Sun, Caihong Kai, Shiwen He:
Vision Image Aided Near-Field Beam Training for Internet of Vehicle Systems. ICC Workshops 2024: 390-395 - [i6]Joseph M. Cavanagh, Kunyang Sun, Andrew Gritsevskiy, Dorian Bagni, Thomas D. Bannister, Teresa Head-Gordon:
SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration. CoRR abs/2409.02231 (2024) - 2023
- [j1]Kunyang Sun, Wei Lin, Haoqin Shi, Yu Liu, Zhengming Zhang, Yongming Huang, Horst Bischof:
AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection. IEEE Robotics Autom. Lett. 8(6): 3645-3652 (2023) - [c5]Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, Horst Bischof:
MATE: Masked Autoencoders are Online 3D Test-Time Learners. ICCV 2023: 16663-16672 - [i5]Kunyang Sun, Wei Lin, Haoqing Shi, Zhengming Zhang, Yongming Huang, Horst Bischof:
AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection. CoRR abs/2303.15377 (2023) - 2022
- [c4]Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof:
CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video. ECCV (3) 2022: 698-715 - [c3]Peter Eckmann, Kunyang Sun, Bo Zhao, Mudong Feng, Michael K. Gilson, Rose Yu:
LIMO: Latent Inceptionism for Targeted Molecule Generation. ICML 2022: 5777-5792 - [i4]Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof:
CycDA: Unsupervised Cycle Domain Adaptation from Image to Video. CoRR abs/2203.16244 (2022) - [i3]Peter Eckmann, Kunyang Sun, Bo Zhao, Mudong Feng, Michael K. Gilson, Rose Yu:
LIMO: Latent Inceptionism for Targeted Molecule Generation. CoRR abs/2206.09010 (2022) - [i2]Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Horst Possegger, Mateusz Kozinski, In So Kweon, Kuk-Jin Yoon, Horst Bischof:
MATE: Masked Autoencoders are Online 3D Test-Time Learners. CoRR abs/2211.11432 (2022) - 2021
- [c2]Kunyang Sun, Haoqing Shi, Zhengming Zhang, Yongming Huang:
ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps. ICCV 2021: 7263-7272 - 2020
- [c1]Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, Youliang Yan:
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. CVPR 2020: 8570-8578 - [i1]Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, Youliang Yan:
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. CoRR abs/2001.00309 (2020)
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last updated on 2024-10-22 20:11 CEST by the dblp team
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