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Yonk Shi
Yonk Shi
KTH institute of Technology
Verified email at kth.se
Title
Cited by
Cited by
Year
Towards understanding the modality gap in CLIP
P Shi, MC Welle, M Björkman, D Kragic
ICLR 2023 Workshop on Multimodal Representation Learning: Perks and Pitfalls, 2023
262023
Dynamic environments with deformable objects
R Antonova, P Shi, H Yin, Z Weng, DK Jensfelt
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
212021
Sequential topological representations for predictive models of deformable objects
R Antonova, A Varava, P Shi, JF Carvalho, D Kragic
Learning for Dynamics and Control, 348-360, 2021
122021
Learning Coarsened Dynamic Graph Representations for Deformable Object Manipulation
GL Marchetti, M Moletta, G Tegnér, P Shi, A Varava, A Kravchenko, ...
2021 20th International Conference on Advanced Robotics (ICAR), 955-960, 2021
2021
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Articles 1–4