Weiyao Wang

papers

921

total citations

papers (11)

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity

CVPR 2022arXiv

citations

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset

NEURIPS 2023arXiv

citations

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences

ECCV 2024arXiv

citations

HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models

CVPR 2025arXiv

citations

ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization

CVPR 2024arXiv

citations

ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation

ECCV 2024arXiv

citations

Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations

NEURIPS 2023

citations

SiLK: Simple Learned Keypoints

ICCV 2023

citations

Weiyao Wang

papers (11)

What Makes Training Multi-Modal Classification Networks Hard?

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation

Generic Event Boundary Detection: A Benchmark for Event Segmentation

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences

HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models

ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization

ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation

Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations

SiLK: Simple Learned Keypoints

papers (11)

What Makes Training Multi-Modal Classification Networks Hard?

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation

Generic Event Boundary Detection: A Benchmark for Event Segmentation

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences

HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models

ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization

ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation

Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations

SiLK: Simple Learned Keypoints