Weiling Chen — accepted AI-conference papers

2024

Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection

Yucheng Han, Na Zhao, Weiling Chen, Keng Teck Ma, Hanwang Zhang

AAAI 2024technical

Semi-supervised 3D object detection is a promising yet under-explored direction to reduce data annotation costs, especially for cluttered indoor scenes. A few prior works, such as SESS and 3DIoUMatch, attempt to solve this task by utilizing a teacher model to generate pseudo-labels for unlabeled sam…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗

2024

SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild

Pengfei Wang, Xiaofei Hui, Jing Wu, Zile Yang, Kian Eng Ong, Xinge Zhao +7

ECCV 2024poster

"Knowing merely where the target is located is not sufficient for many real-life scenarios. In contrast, capturing rich details about the tracked target via its semantic trajectory, i.e. who/what this target is interacting with and when, where, and how they are interacting over time, is especially c…

Cited by 1 Source ↗PDF ↗Scholar ↗