activity
20202025
most citedEA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection

13 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction Framework

Haotian Hu, Jingwei Xu, Fanyi Wang +4

Reconstruction of high-definition maps is a crucial task in perceiving the autonomous driving environment, as its accuracy directly impacts the reliability of prediction and planni…

cs.CV2024★ 2 cited

ADMap: Anti-disturbance framework for reconstructing online vectorized HD map

Haotian Hu, Fanyi Wang, Yaonong Wang +3

In the field of autonomous driving, online high-definition (HD) map reconstruction is crucial for planning tasks. Recent research has developed several high-performance HD map reco…

cs.CV2023★ 1 cited

GAM : Gradient Attention Module of Optimization for Point Clouds Analysis

Haotian Hu, Fanyi Wang, Jingwen Su +5

In point cloud analysis tasks, the existing local feature aggregation descriptors (LFAD) are unable to fully utilize information in the neighborhood of central points. Previous met…

cs.CV2023★ 13 cited

EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection

Haotian Hu, Fanyi Wang, Jingwen Su +5

In recent years, great progress has been made in the Lift-Splat-Shot-based (LSS-based) 3D object detection method. However, inaccurate depth estimation remains an important constra…

cs.CV2020★ 1 cited

DHARI Report to EPIC-Kitchens 2020 Object Detection Challenge

Kaide Li, Bingyan Liao, Laifeng Hu +1

In this report, we describe the technical details of oursubmission to the EPIC-Kitchens Object Detection Challenge.Duck filling and mix-up techniques are firstly introduced to augm…