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Siyuan Li
Siyuan Li
Computer Vision Lab, ETH Zurich
Verified email at vision.ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Large-scale 3d shape reconstruction and segmentation from shapenet core55
L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ...
arXiv preprint arXiv:1710.06104, 2017
702017
Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
S Li, S Günel, M Ostrek, P Ramdya, P Fua, H Rhodin
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020
472020
Tracking Every Thing in the Wild
S Li, M Danelljan, H Ding, TE Huang, F Yu
European Conference on Computer Vision (ECCV 2022), 2022
292022
OVTrack: Open-Vocabulary Multiple Object Tracking
S Li, T Fischer, L Ke, H Ding, M Danelljan, F Yu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023
192023
Cascade-DETR: Delving into High-Quality Universal Object Detection
M Ye, L Ke, S Li, YW Tai, CK Tang, M Danelljan, F Yu
International Conference on Computer Vision (ICCV 2023), 2023
92023
A learning-based framework for hybrid depth-from-defocus and stereo matching
Z Chen, X Guo, S Li, X Cao, J Yu
arXiv preprint arXiv:1708.00583, 2017
92017
A shared representation for photorealistic driving simulators
S Saadatnejad, S Li, T Mordan, A Alahi
arXiv preprint arXiv:2112.05134, 2021
72021
Deep eyes: Joint depth inference using monocular and binocular cues
Z Chen, X Guo, S Li, Y Yang, J Yu
Neurocomputing, 2020
42020
Deep eyes: binocular depth-from-focus on focal stack pairs
X Guo, Z Chen, S Li, Y Yang, J Yu
Pattern Recognition and Computer Vision: Second Chinese Conference, PRCV …, 2019
42019
UniDepth: Universal Monocular Metric Depth Estimation
L Piccinelli, YH Yang, C Sakaridis, M Segu, S Li, L Van Gool, F Yu
arXiv preprint arXiv:2403.18913, 2024
2024
Supplemental Document for Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
S Li, S Günel, M Ostrek, P Ramdya, P Fua, H Rhodin
OVTrack: Open-Vocabulary Multiple Object Tracking Supplemental Material
S Li, T Fischer, L Ke, H Ding, M Danelljan, F Yu
Cascade-DETR: Delving into High-Quality Universal Object Detection (Supplemental material)
M Ye, L Ke, S Li, YW Tai, CK Tang, M Danelljan, F Yu
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