Search Results for author: Ruikai Cui

Found 9 papers, 4 papers with code

LAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Image

no code implementations24 May 2024 Ruikai Cui, Xibin Song, Weixuan Sun, Senbo Wang, Weizhe Liu, Shenzhou Chen, Taizhang Shang, Yang Li, Nick Barnes, Hongdong Li, Pan Ji

Large Reconstruction Models have made significant strides in the realm of automated 3D content generation from single or multiple input images.

3D Reconstruction

BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation

1 code implementation30 Jan 2024 Zhennan Wu, Yang Li, Han Yan, Taizhang Shang, Weixuan Sun, Senbo Wang, Ruikai Cui, Weizhe Liu, Hiroyuki Sato, Hongdong Li, Pan Ji

A variational auto-encoder is employed to compress the tri-planes into the latent tri-plane space, on which the denoising diffusion process is performed.

Denoising Scene Generation

Self-Calibrating Vicinal Risk Minimisation for Model Calibration

no code implementations CVPR 2024 Jiawei Liu, Changkun Ye, Ruikai Cui, Nick Barnes

Model calibration measuring the alignment between the prediction accuracy and model confidence is an important metric reflecting model trustworthiness.

Binary Classification

Adaptive Low Rank Adaptation of Segment Anything to Salient Object Detection

no code implementations10 Aug 2023 Ruikai Cui, Siyuan He, Shi Qiu

Foundation models, such as OpenAI's GPT-3 and GPT-4, Meta's LLaMA, and Google's PaLM2, have revolutionized the field of artificial intelligence.

Object object-detection +3

Model Calibration in Dense Classification with Adaptive Label Perturbation

1 code implementation ICCV 2023 Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes

To improve model calibration, we propose Adaptive Stochastic Label Perturbation (ASLP) which learns a unique label perturbation level for each training image.

Binary Classification Classification +1

Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion

1 code implementation13 Nov 2022 Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes

Unsupervised point cloud completion aims to infer the whole geometry of a partial object observation without requiring partial-complete correspondence.

Decoder Point Cloud Completion

Generalised Co-Salient Object Detection

no code implementations20 Aug 2022 Jiawei Liu, Jing Zhang, Ruikai Cui, Kaihao Zhang, Weihao Li, Nick Barnes

We propose a new setting that relaxes an assumption in the conventional Co-Salient Object Detection (CoSOD) setting by allowing the presence of "noisy images" which do not show the shared co-salient object.

Co-Salient Object Detection Object +3

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