activity
20202025
most cited3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2025

AGO: Adaptive Grounding for Open World 3D Occupancy Prediction

Peizheng Li, Shuxiao Ding, You Zhou +6

Open-world 3D semantic occupancy prediction aims to generate a voxelized 3D representation from sensor inputs while recognizing both known and unknown objects. Transferring open-vo…

nucl-th2025

Initial Baryon Stopping and Angular Momentum in Heavy-Ion Collisions

Alex Akridge, Daniel Gallimore, Hector Morales +1

Noncentral heavy-ion collisions create fireballs with large initial orbital angular momentum that is expected to induce strong vorticity in the hot bulk fluid and generate global s…

cs.CV2024

ADA-Track++: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association

Shuxiao Ding, Lukas Schneider, Marius Cordts +1

Many query-based approaches for 3D Multi-Object Tracking (MOT) adopt the tracking-by-attention paradigm, utilizing track queries for identity-consistent detection and object querie…

cs.CV2023★ 1 cited

3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking

Shuxiao Ding, Eike Rehder, Lukas Schneider +2

Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based…

cs.CV2023

PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View

Peizheng Li, Shuxiao Ding, Xieyuanli Chen +3

Accurately perceiving instances and predicting their future motion are key tasks for autonomous vehicles, enabling them to navigate safely in complex urban traffic. While bird's-ey…

cs.CV2020

Single-Stage Object Detection from Top-View Grid Maps on Custom Sensor Setups

Sascha Wirges, Shuxiao Ding, Christoph Stiller

We present our approach to unsupervised domain adaptation for single-stage object detectors on top-view grid maps in automated driving scenarios. Our goal is to train a robust obje…