ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.07886
  4. Cited By
PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention
  Modulation and Gated Multitask Learning

PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning

14 October 2022
Amir Rasouli
Iuliia Kotseruba
ArXivPDFHTML

Papers citing "PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning"

10 / 10 papers shown
Title
GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction
GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction
Chen Xie
Ciyun Lin
Xiaoyu Zheng
Bowen Gong
Dayong Wu
ViT
41
0
0
30 Sep 2024
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
Ehsan Ahmadi
Ray Coden Mercurius
Soheil Alizadeh
K. Rezaee
Amir Rasouli
AAML
41
0
0
23 Sep 2024
TrACT: A Training Dynamics Aware Contrastive Learning Framework for
  Long-tail Trajectory Prediction
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
Junrui Zhang
Mozhgan Pourkeshavarz
Amir Rasouli
44
3
0
18 Apr 2024
A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for
  Egocentric Pedestrian Trajectory Prediction
A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction
Amir Rasouli
31
6
0
16 Oct 2023
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
163
365
0
20 Jan 2021
Diverse and Admissible Trajectory Forecasting through Multimodal Context
  Understanding
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Seonguk Park
Gyubok Lee
Manoj Bhat
Jimin Seo
Minseok Kang
Jonathan M Francis
Ashwin R. Jadhav
Paul Pu Liang
Louis-Philippe Morency
136
119
0
06 Mar 2020
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
117
193
0
18 Oct 2019
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory
  and Practice
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice
Amir Rasouli
John K. Tsotsos
51
606
0
30 May 2018
Agreeing to Cross: How Drivers and Pedestrians Communicate
Agreeing to Cross: How Drivers and Pedestrians Communicate
Amir Rasouli
Iuliia Kotseruba
John K. Tsotsos
3DV
55
198
0
12 Feb 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
1