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Joint pedestrian trajectory prediction has long grappled with the inherent unpredictability of human behaviors.
Crowds by example
Alon Lerner, Yiorgos Chrysanthou, and Dani Lischinski · 2007
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You’ll never walk alone: Modeling social behavior for multi-target tracking
Stefano Pellegrini, Andreas Ess, Konrad Schindler, and Luc Van Gool · 2009
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Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2017
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Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
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Trajectory prediction from a mass of sparse and missing external sensor data
Lívia Almada Cruz, Karine Zeitouni, and José Antonio F de Macedo · 2019
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Mish: A self regularized non-monotonic activation function
Diganta Misra · 2019
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Reconstruction of missing trajectory data: a deep learning approach
Ziwei Wang, Shiyao Zhang, and JQ James · 2020
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Imitative non-autoregressive modeling for trajectory forecasting and imputation
Mengshi Qi, Jie Qin, Yu Wu, and Yi Yang · 2020
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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It is not the journey but the destination: Endpoint conditioned trajectory prediction
Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, and Adrien Gaidon · 2020
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Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting
Ye Yuan, Xinshuo Weng, Yanglan Ou, and Kris M Kitani · 2021
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Pecnet: A deep multi-label segmentation network for eosinophilic esophagitis biopsy diagnostics
Nati Daniel, Ariel Larey, Eliel Aknin, Garrett A Osswald, Julie M Caldwell, Mark Rochman, Margaret H Collins, Guang-Yu Yang, Nicoleta C Arva, Kelley E Capocelli, et al · 2021
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Stepwise goal-driven networks for trajectory prediction
Chuhua Wang, Yuchen Wang, Mingze Xu, and David J Crandall · 2022
Cited alongside, same era.
Human trajectory prediction via neural social physics
Jiangbei Yue, Dinesh Manocha, and He Wang · 2022
Cited alongside, same era.
View vertically: A hierarchical network for trajectory prediction via fourier spectrums
Conghao Wong, Beihao Xia, Ziming Hong, Qinmu Peng, Wei Yuan, Qiong Cao, Yibo Yang, and Xinge You · 2022
Cited alongside, same era.
Pedestrian trajectory prediction with convolutional neural networks
Simone Zamboni, Zekarias Tilahun Kefato, Sarunas Girdzijauskas, Christoffer Norén, and Laura Dal Col · 2022
Cited alongside, same era.
Stochastic trajectory prediction via motion indeterminacy diffusion
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, and Jiwen Lu · 2022
Cited alongside, same era.
Elucidating the design space of diffusion-based generative models
Robust trajectory prediction against adversarial attacks
Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, and Marco Pavone · 2023
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Uncovering the missing pattern: Unified framework towards trajectory imputation and prediction
Yi Xu, Armin Bazarjani, Hyung-gun Chi, Chiho Choi, and Yun Fu · 2023
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Leapfrog diffusion model for stochastic trajectory prediction
Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, and Yanfeng Wang · 2023
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Tweedie moment projected diffusions for inverse problems
Benjamin Boys, Mark Girolami, Jakiw Pidstrigach, Sebastian Reich, Alan Mosca, and O Deniz Akyildiz · 2023
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Guided conditional diffusion for controllable traffic simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, and Marco Pavone · 2023
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Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
Cited alongside, same era.
Diffusion posterior sampling for general noisy inverse problems
Hyungjin Chung, Jeongsol Kim, Michael T Mccann, Marc L Klasky, and Jong Chul Ye · 2022
Cited alongside, same era.
Diffusion models as plug-and-play priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, and Dimitris Samaras · 2022
Cited alongside, same era.
Planning with diffusion for flexible behavior synthesis
Michael Janner, Yilun Du, Joshua B Tenenbaum, and Sergey Levine · 2022
Cited alongside, same era.
Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Remember intentions: Retrospective-memory-based trajectory prediction
Chenxin Xu, Weibo Mao, Wenjun Zhang, and Siheng Chen · 2022
Cited alongside, same era.
Motiondiffuser: Controllable multi-agent motion prediction using diffusion
Chiyu Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov, et al · 2023
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Eigentrajectory: Low-rank descriptors for multi-modal trajectory forecasting
Inhwan Bae, Jean Oh, and Hae-Gon Jeon · 2023
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Efficient diffusion training via min-snr weighting strategy
Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, and Baining Guo · 2023
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Pnas-mot: Multi-modal object tracking with pareto neural architecture search
Chensheng Peng, Zhaoyu Zeng, Jinling Gao, Jundong Zhou, Masayoshi Tomizuka, Xinbing Wang, Chenghu Zhou, and Nanyang Ye · 2024
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Q-slam: Quadric representations for monocular slam
Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, and Wei Zhan · 2024
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Social physics informed diffusion model for crowd simulation
Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, and Xiao-Ping Zhang · 2024
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Optimizing diffusion models for joint trajectory prediction and controllable generation
Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, et al · 2024
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