Search Results for author: Edmund Lam

Found 4 papers, 2 papers with code

Segment Anything Model is a Good Teacher for Local Feature Learning

1 code implementation29 Sep 2023 Jingqian Wu, Rongtao Xu, Zach Wood-Doughty, Changwei Wang, Shibiao Xu, Edmund Lam

To do so, first, we construct an auxiliary task of Pixel Semantic Relational Distillation (PSRD), which distillates feature relations with category-agnostic semantic information learned by the SAM encoder into a local feature learning network, to improve local feature description using semantic discrimination.

Contrastive Learning Visual Localization

Context-Aware Transformer for 3D Point Cloud Automatic Annotation

no code implementations27 Mar 2023 Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Lam, Ngai Wong

3D automatic annotation has received increased attention since manually annotating 3D point clouds is laborious.

Object

Multimodal Transformer for Automatic 3D Annotation and Object Detection

1 code implementation20 Jul 2022 Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Lam, Siew-Chong Tan, Ngai Wong

By enriching the sparse point clouds, our method achieves 4. 48\% and 4. 03\% better 3D AP on KITTI moderate and hard samples, respectively, versus the state-of-the-art autolabeler.

3D Object Detection Object +1

AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision

no code implementations22 Mar 2021 Chang Liu, Xiaojuan Qi, Edmund Lam, Ngai Wong

The neuromorphic event cameras, which capture the optical changes of a scene, have drawn increasing attention due to their high speed and low power consumption.

Event-based vision

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