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FipTR: A Simple yet Effective Transformer Framework for Future Instance
  Prediction in Autonomous Driving

FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving

19 April 2024
Xingtai Gui
Tengteng Huang
Haonan Shao
Haotian Yao
Chi Zhang
ArXivPDFHTML

Papers citing "FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving"

4 / 4 papers shown
Title
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction
  in Bird's-Eye View
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View
Peizheng Li
Shuxiao Ding
Xieyuanli Chen
Niklas Hanselmann
Marius Cordts
Juergen Gall
35
21
0
19 Jun 2023
FIERY: Future Instance Prediction in Bird's-Eye View from Surround
  Monocular Cameras
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
Anthony Hu
Zak Murez
Nikhil C. Mohan
Sofía Dudas
Jeffrey Hawke
Vijay Badrinarayanan
R. Cipolla
Alex Kendall
125
213
0
21 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
149
362
0
20 Jan 2021
TrackFormer: Multi-Object Tracking with Transformers
TrackFormer: Multi-Object Tracking with Transformers
Tim Meinhardt
A. Kirillov
Laura Leal-Taixe
Christoph Feichtenhofer
VOT
205
732
0
07 Jan 2021
1