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Ziyao Zeng
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Citované v
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Pointclip v2: Prompting clip and gpt for powerful 3d open-world learning
X Zhu, R Zhang, B He, Z Guo, Z Zeng, Z Qin, S Zhang, P Gao
ICCV 2023, 2639-2650, 2023
2172023
Can Language Understand Depth?
R Zhang*, Z Zeng*, Z Guo, Y Li
ACM Multimedia 2022 (Brave New Idea), 2022
722022
VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts
R Zhang*, L Qiu*, W Zhang, Z Zeng
arXiv preprint arXiv:2112.02399, 2021
502021
Binding touch to everything: Learning unified multimodal tactile representations
F Yang, C Feng, Z Chen, H Park, D Wang, Y Dou, Z Zeng, X Chen, ...
CVPR 2024, 2024
422024
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
R Zhang*, Z Zeng*, Z Guo*, X Gao, K Fu, J Shi
The 2023 IEEE Conference on Systems, Man, and Cybernetics, 2021
322021
iQuery: Instruments as Queries for Audio-Visual Sound Separation
J Chen, R Zhang, D Lian, J Yang, Z Zeng, J Shi
CVPR 2023, 14675-14686, 2023
242023
WorDepth: Variational Language Prior for Monocular Depth Estimation
Z Zeng, D Wang, F Yang, H Park, Y Wu, S Soatto, BW Hong, D Lao, ...
CVPR 2024, 2024
222024
Neurobind: Towards unified multimodal representations for neural signals
F Yang, C Feng, D Wang, T Wang, Z Zeng, Z Xu, H Park, P Ji, H Zhao, Y Li, ...
arXiv preprint arXiv:2407.14020, 2024
72024
Rsa: Resolving scale ambiguities in monocular depth estimators through language descriptions
Z Zeng, Y Wu, H Park, D Wang, F Yang, S Soatto, D Lao, BW Hong, ...
NeurIPS 2024, 2024
32024
PriorDiffusion: Leverage language prior in diffusion models for monocular depth estimation
Z Zeng, J Ni, D Wang, P Rim, Y Chung, F Yang, BW Hong, A Wong
arXiv preprint arXiv:2411.16750, 2024
12024
Efficient Interactive 3D Multi-Object Removal
J Ni, W Zhao, D Wang, Z Zeng, C You, A Wong, K Huang
arXiv preprint arXiv:2501.17636, 2025
2025
Generalized DUQ: Generalized Deterministic Uncertainty Quantification
Z Gao*, Z Zeng*
Final Project of CS282 Machine Learning, 2021 Spring, ShanghaiTech University, 2021
2021
Seek Common while Shelving Differences: A New Way for dealing with Noisy Labels
Z Gao*, Z Zeng*
Final Project of CS280 Deep Learning, 2020 Fall, ShanghaiTech University, 2020
2020
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions SUPPLEMENTARY MATERIALS
Z Zeng, Y Wu, H Park, D Wang, F Yang, S Soatto, D Lao, BW Hong, ...
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–14