1 code implementation • 3 Jun 2024 • Tianyu Huang, Yihan Zeng, Hui Li, WangMeng Zuo, Rynson W. H. Lau
One solution is to animate 3D scenes with physics-based simulation, and the other is to learn the deformation of static 3D objects with the distillation of video generative models.
no code implementations • 3 Jun 2024 • Tianyu Huang, Tao Zhou, Weidi Xie, Shuo Wang, Qi Dou, Yizhe Zhang
We employ rectified annotations to perform online learning, with the aim of improving the segmentation quality of SA on medical images.
2 code implementations • 9 Apr 2024 • Tianyu Huang, Haoang Li, Liangzu Peng, Yinlong Liu, Yun-hui Liu
Our strategy largely reduces the search space and can guarantee accuracy with only a few inlier samples, therefore enjoying an excellent trade-off between efficiency and robustness.
1 code implementation • 1 Apr 2024 • Tianyu Huang, Liangzu Peng, René Vidal, Yun-hui Liu
Given an input set of $3$D point pairs, the goal of outlier-robust $3$D registration is to compute some rotation and translation that align as many point pairs as possible.
1 code implementation • 2 Feb 2024 • Jian Liu, Xiaoshui Huang, Tianyu Huang, Lu Chen, Yuenan Hou, Shixiang Tang, Ziwei Liu, Wanli Ouyang, WangMeng Zuo, Junjun Jiang, Xianming Liu
Recent years have witnessed remarkable advances in artificial intelligence generated content(AIGC), with diverse input modalities, e. g., text, image, video, audio and 3D.
1 code implementation • 28 Dec 2023 • Wan Xu, Tianyu Huang, Tianyu Qu, Guanglei Yang, Yiwen Guo, WangMeng Zuo
Few-shot class-incremental learning (FSCIL) aims to mitigate the catastrophic forgetting issue when a model is incrementally trained on limited data.
Dimensionality Reduction Few-Shot Class-Incremental Learning +2
1 code implementation • 11 Dec 2023 • Tianyu Huang, Yihan Zeng, Zhilu Zhang, Wan Xu, Hang Xu, Songcen Xu, Rynson W. H. Lau, WangMeng Zuo
The priors are then regarded as input conditions to maintain reasonable geometries, in which conditional LoRA and weighted score are further proposed to optimize detailed textures.
no code implementations • 29 Sep 2023 • Tianyu Huang, Yihan Zeng, Bowen Dong, Hang Xu, Songcen Xu, Rynson W. H. Lau, WangMeng Zuo
To this end, an NTFGen module is proposed to model general text latent code in noisy fields.
1 code implementation • 21 Aug 2023 • Jian Zou, Tianyu Huang, Guanglei Yang, Zhenhua Guo, WangMeng Zuo
The extension makes it possible to back-project the informative features, obtained by fusing features from both modalities, into their native modalities to reconstruct the multiple masked inputs.
no code implementations • 9 Jun 2023 • Tianyu Huang, Chung Hoon Hong, Carl Wivagg, Kanna Shimizu
Voice digital assistants must keep up with trending search queries.
no code implementations • ICCV 2023 • Haoang Li, Jinhu Dong, Binghui Wen, Ming Gao, Tianyu Huang, Yun-hui Liu, Daniel Cremers
It abstracts the shape prior of a category, and thus can provide constraints on the overall shape of an instance.
no code implementations • CVPR 2023 • Tianyu Huang, Haoang Li, Kejing He, Congying Sui, Bin Li, Yun-hui Liu
As to the orthographic projection problem, we propose a novel Viewing Direction-aided Positional Encoding (VDPE) strategy.
1 code implementation • ICCV 2023 • Tianyu Huang, Bowen Dong, Yunhan Yang, Xiaoshui Huang, Rynson W. H. Lau, Wanli Ouyang, WangMeng Zuo
To address this issue, we propose CLIP2Point, an image-depth pre-training method by contrastive learning to transfer CLIP to the 3D domain, and adapt it to point cloud classification.
Ranked #3 on Training-free 3D Point Cloud Classification on ScanObjectNN (using extra training data)
1 code implementation • 13 Jul 2022 • Tianyu Huang, Bowen Dong, Jiaying Lin, Xiaohui Liu, Rynson W. H. Lau, WangMeng Zuo
Mirror detection aims to identify the mirror regions in the given input image.
no code implementations • 24 Mar 2022 • Snehesh Shrestha, Cornelia Fermüller, Tianyu Huang, Pyone Thant Win, Adam Zukerman, Chethan M. Parameshwara, Yiannis Aloimonos
Pose Estimation techniques rely on visual cues available through observations represented in the form of pixels.
no code implementations • 20 Mar 2020 • Zeliang Liu, Haoyan Wei, Tianyu Huang, C. T. Wu
In the paper, we present an integrated data-driven modeling framework based on process modeling, material homogenization, mechanistic machine learning, and concurrent multiscale simulation.