RealTraj: Towards Real-World Pedestrian Trajectory Forecasting | Paper Citation Record

Observation 72fb5e73-7519-419b-9290-9051db7b7008 · outbound

This paper cites Social LSTM: Human Trajectory Prediction in Crowded Spaces.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Social LSTM: Human Trajectory Prediction in Crowded Spaces

Reference 1

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Observation 66cdb49a-0ac0-45a5-8e70-08471fd7eb0d · outbound

This paper cites A Set of Control Points Conditioned Pedestrian Trajectory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting A Set of Control Points Conditioned Pedestrian Trajectory Prediction

Reference 2

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Observation 9eaf4707-46d0-4945-9a8c-19809102f99c · outbound

This paper cites Learning Pedestrian Group Representations for Multi-modal Trajec- tory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Learning Pedestrian Group Representations for Multi-modal Trajec- tory Prediction

Reference 3

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Observation f3e52a18-c2b3-4488-b165-d46c333401fc · outbound

This paper cites EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecast- ing.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecast- ing

Reference 4

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Observation 5bb43d13-0311-4beb-9462-621792e024ff · outbound

This paper cites Can language beat numerical regression? language-based multimodal tra- jectory prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Can language beat numerical regression? language-based multimodal tra- jectory prediction

Reference 5

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Observation 935b9b5b-389b-40bc-aaa5-0467ac4df3fa · outbound

This paper cites Singu- lartrajectory: Universal trajectory predictor using diffusion model.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Singu- lartrajectory: Universal trajectory predictor using diffusion model

Reference 6

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Observation 98abf906-3df0-4161-a248-e714169a2c0a · outbound

This paper cites The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections

Reference 7

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Observation 7889b151-5110-4747-bd95-22b6f41c99f8 · outbound

This paper cites Advdo: Realistic adversarial attacks for trajectory prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Advdo: Realistic adversarial attacks for trajectory prediction

Reference 8

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Observation 3b75d9b7-32da-4cb3-9908-3187e2a8c535 · outbound

This paper cites Traj-MAE: Masked Autoencoders for Trajectory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Traj-MAE: Masked Autoencoders for Trajectory Prediction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T12:17:39.437289Z

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Observation 18b95edf-be1e-418f-83ef-c0ff410c04cc · outbound

This paper cites Mgf: Mixed gaussian flow for diverse trajectory prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Mgf: Mixed gaussian flow for diverse trajectory prediction

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T12:17:39.442841Z

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Observation 808d3514-1241-4d33-bf1c-b08f32e56f63 · outbound

This paper cites Forecast-MAE: Self-supervised pre-training for motion forecasting with masked autoencoders.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Forecast-MAE: Self-supervised pre-training for motion forecasting with masked autoencoders

Reference 11

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Observation 5aaff6fc-e4ff-47f0-8eaa-c07bb9343e88 · outbound

This paper cites Human motion prediction using semi-adaptable neural networks.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Human motion prediction using semi-adaptable neural networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T12:17:39.452684Z

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Observation 4d669038-1c73-4604-aafd-20a1e71b0b54 · outbound

This paper cites Pedestrian Trajec- tory Prediction with Missing Data: Datasets, Imputation, and Benchmarking.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Pedestrian Trajec- tory Prediction with Missing Data: Datasets, Imputation, and Benchmarking

Reference 13

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Observation 13859727-339e-46f4-b9e8-8142b6358114 · outbound

This paper cites Multimodal Trajectory Predic- tions for Autonomous Driving using Deep Convolutional Networks.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Multimodal Trajectory Predic- tions for Autonomous Driving using Deep Convolutional Networks

Reference 14

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Observation 70cc2c3d-5c59-4099-ba62-cae42218801a · outbound

This paper cites Socially-informed reconstruction for pedestrian trajectory forecasting.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Socially-informed reconstruction for pedestrian trajectory forecasting

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:41.181441Z

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Observation 9936f5ff-954b-4d6a-b49c-abd866e5d50c · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Trans- formers for Language Understanding.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting BERT: Pre-training of Deep Bidirectional Trans- formers for Language Understanding

Reference 16

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Observation bac9bbd9-5ef7-4627-9618-0f1f8315201d · outbound

This paper cites FlowNet: Learn- ing Optical Flow with Convolutional Networks.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting FlowNet: Learn- ing Optical Flow with Convolutional Networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:41.151670Z

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Observation a03f71ff-6def-4686-919c-7a613031685f · outbound

This paper cites Saits: Self-attention- based imputation for time series.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Saits: Self-attention- based imputation for time series

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:41.136579Z

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Observation c280fac5-78c3-4870-ab61-920eebdf5ed3 · outbound

This paper cites A review of video surveillance systems.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting A review of video surveillance systems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:41.121188Z

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Observation 0ced3b9d-435b-40f8-bced-455d8b86d4dc · outbound

This paper cites Learning to Detect and Track Visible and Occluded Body Joints in a Vir- tual World.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Learning to Detect and Track Visible and Occluded Body Joints in a Vir- tual World

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:41.105552Z

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Observation 98c292e4-2858-4ff1-a11b-69be784aea4f · outbound

This paper cites Mac- Former: Map-Agent Coupled Transformer for Real-Time and Robust Trajectory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Mac- Former: Map-Agent Coupled Transformer for Real-Time and Robust Trajectory Prediction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:41.089500Z

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Observation 17e09389-6679-456f-9215-115d871859c7 · outbound

This paper cites Probabilistic Au- tonomous Robot Navigation in Dynamic Environments with Human Motion Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Probabilistic Au- tonomous Robot Navigation in Dynamic Environments with Human Motion Prediction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:41.072615Z

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Observation 306b43b5-923a-4a2e-944f-97e2744025b4 · outbound

This paper cites A Two-Block RNN-Based Trajectory Predic- tion From Incomplete Trajectory.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting A Two-Block RNN-Based Trajectory Predic- tion From Incomplete Trajectory

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:41.057240Z

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Observation d84ffc57-c6e6-4123-9d6e-b5a411c7bbeb · outbound

This paper cites CrowdMAC: Masked Crowd Density Completion for Robust Crowd Den- sity Forecasting.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting CrowdMAC: Masked Crowd Density Completion for Robust Crowd Den- sity Forecasting

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:41.041997Z

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Observation dfc36ea5-1880-45d3-b84f-ea5e6f22128d · outbound

This paper cites Multi- Transmotion: Pre-trained Model for Human Motion Predic- tion.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Multi- Transmotion: Pre-trained Model for Human Motion Predic- tion

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:41.026931Z

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Observation 489a09b5-ed20-4616-b897-b894da355b4e · outbound

This paper cites Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:41.011230Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fe53375d-34ff-4316-b2ae-24d006e36e33 · outbound

This paper cites Transformer Networks for Trajectory Forecasting.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Transformer Networks for Trajectory Forecasting

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.995466Z

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Observation 66683b4b-aba3-4708-a53a-3f5185e8e780 · outbound

This paper cites Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.980034Z

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Observation 011ef1fb-980e-439b-aa35-47ca8e01c17c · outbound

This paper cites Social GAN: Socially Acceptable Tra- jectories with Generative Adversarial Networks.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Social GAN: Socially Acceptable Tra- jectories with Generative Adversarial Networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.963154Z

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Observation f4013a2f-3a7e-4084-8244-fb5392323e70 · outbound

This paper cites Geometric trajectory diffusion models.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Geometric trajectory diffusion models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.946581Z

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Observation 688b29d3-24f9-4c0f-8355-52102f4a455a · outbound

This paper cites Masked Autoencoders Are Scal- able Vision Learners.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Masked Autoencoders Are Scal- able Vision Learners

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.929511Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2f0ff9f8-752b-4403-85cc-4ca2f5137f6a · outbound

This paper cites The Trajectron: Prob- abilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting The Trajectron: Prob- abilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.914378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dd5814c4-def3-456a-a3e3-5519eb470b98 · outbound

This paper cites Expand- ing the deployment envelope of behavior prediction via adap- tive meta-learning.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Expand- ing the deployment envelope of behavior prediction via adap- tive meta-learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.899212Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d095a8f4-f2d9-434e-b449-85dc11db232c · outbound

This paper cites Trajectory prediction: learning to map situations to robot trajectories.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Trajectory prediction: learning to map situations to robot trajectories

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.883279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bf9a728a-64f3-4af8-a219-5505d5c6f816 · outbound

This paper cites Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.867099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e2efe84-91f6-4383-bcf7-987c026d3c37 · outbound

This paper cites Pre-training without natural images.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Pre-training without natural images

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.849591Z

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Observation adf5f148-61dd-4b90-9b63-da7165c8217e · outbound

This paper cites Kingma and Jimmy Ba.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Kingma and Jimmy Ba

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.832288Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0cf94962-cc44-4337-8e02-8ea830a563d0 · outbound

This paper cites Hamid Rezatofighi, and Silvio Savarese.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Hamid Rezatofighi, and Silvio Savarese

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.817134Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a1e1096f-ffb2-42ff-9249-e9567d88e296 · outbound

This paper cites Human Trajectory Forecasting in Crowds: A Deep Learning Per- spective.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Human Trajectory Forecasting in Crowds: A Deep Learning Per- spective

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.801663Z

Source-reported events for the cited work

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Observation a6b0a885-3f23-4277-805e-09f98df9587f · outbound

This paper cites Learning an Image-Based Motion Context for Multiple People Tracking.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Learning an Image-Based Motion Context for Multiple People Tracking

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.786392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 297671f6-5ea4-4bbb-b35c-2928a0df08eb · outbound

This paper cites Online multi-agent forecasting with interpretable collaborative graph neural networks.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Online multi-agent forecasting with interpretable collaborative graph neural networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.770985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a8b6b53e-5ea5-44df-94e6-add22ea6dc77 · outbound

This paper cites Bcdiff: Bidirectional consistent diffusion for instantaneous trajectory prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Bcdiff: Bidirectional consistent diffusion for instantaneous trajectory prediction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.755522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9863466-f5a9-4725-9a97-29283b25a417 · outbound

This paper cites LaKD: Length-agnostic Knowl- edge Distillation for Trajectory Prediction with Any Length Observations.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting LaKD: Length-agnostic Knowl- edge Distillation for Trajectory Prediction with Any Length Observations

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.740625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e75e3778-9c3f-453f-bfc6-6545cf0c5afa · outbound

This paper cites Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, and Wei Zhan.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, and Wei Zhan

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.725137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 456386f4-a0b7-4efd-ac99-88d4943a4f5a · outbound

This paper cites Fast inference and update of probabilistic density estimation on trajectory pre- diction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Fast inference and update of probabilistic density estimation on trajectory pre- diction

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.708014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 266a9a11-c16c-41a3-b467-d3239e1758c8 · outbound

This paper cites It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.691307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ee7d8f7-1e42-4d02-a0d7-9b0c1ca27b12 · outbound

This paper cites From Goals, Waypoints & Paths to Long Term Human Trajectory Forecasting.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting From Goals, Waypoints & Paths to Long Term Human Trajectory Forecasting

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.675459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8f63995d-a572-4d23-b284-e1303dc7407c · outbound

This paper cites Leapfrog Diffusion Model for Stochastic Trajectory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Leapfrog Diffusion Model for Stochastic Trajectory Prediction

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.658603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 41ca1888-63b1-4e11-825e-af743fd30156 · outbound

This paper cites Mantra: Memory augmented net- works for multiple trajectory prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Mantra: Memory augmented net- works for multiple trajectory prediction

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.641587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e9fd6d1-274a-46e0-9438-bfe15e1751fe · outbound

This paper cites Jrdb: A dataset and bench- mark of egocentric robot visual perception of humans in built environments.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Jrdb: A dataset and bench- mark of egocentric robot visual perception of humans in built environments

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.625630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a332cff6-2b67-4dfd-99f3-772522edd62a · outbound

This paper cites Social-STGCNN: A Social Spatio- Temporal Graph Convolutional Neural Network for Human Trajectory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Social-STGCNN: A Social Spatio- Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T12:17:39.664216Z

Source-reported events for the cited work

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Observation fadd059d-013b-4ce9-95a5-3f736e982f33 · outbound

This paper cites How many observations are enough? knowledge distillation for trajec- tory forecasting.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting How many observations are enough? knowledge distillation for trajec- tory forecasting

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.598309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 70e3caab-289f-4be1-a16d-18f48b373875 · outbound

This paper cites DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.580846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b0d21d1e-224e-458f-b01c-44b570e154ab · outbound

This paper cites Hager, and Alan L.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Hager, and Alan L

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.566345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0b446a18-79cb-4f10-a5bd-83e8bc399882 · outbound

This paper cites T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor- specific Token Memory.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor- specific Token Memory

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.551848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3894f80f-bc56-4505-9650-c0c43599678b · outbound

This paper cites Improv- ing Data Association by Joint Modeling of Pedestrian Tra- jectories and Groupings.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Improv- ing Data Association by Joint Modeling of Pedestrian Tra- jectories and Groupings

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.537017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e319daa-7bfd-4298-8f83-87861d3e9938 · outbound

This paper cites SSL-lanes: Self-supervised learning for motion forecasting in autonomous driving.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting SSL-lanes: Self-supervised learning for motion forecasting in autonomous driving

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.521063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9f0ff3bc-3982-4781-8db2-82e2eb899cea · outbound

This paper cites Trace and Pace: Controllable Pedestrian Animation via Guided Trajec- tory Diffusion.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Trace and Pace: Controllable Pedestrian Animation via Guided Trajec- tory Diffusion

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.505571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 343b739d-79ad-472a-9a50-37d62266ee9a · outbound

This paper cites Learning Social Etiquette: Human Tra- jectory Understanding In Crowded Scenes.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Learning Social Etiquette: Human Tra- jectory Understanding In Crowded Scenes

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.490558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7303522b-0110-4547-beb3-d34b3bba7e4e · outbound

This paper cites Kitani, Dariu M.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Kitani, Dariu M

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.475065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f8676159-5ea8-49d2-aaf9-649f6f78fd55 · outbound

This paper cites Social-Transmotion: Promptable Human Trajectory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Social-Transmotion: Promptable Human Trajectory Prediction

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.460085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ec11305e-fe99-4ef8-a811-913559212253 · outbound

This paper cites SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.444516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9fc87498-da2a-4e12-beb9-079bac29fd5a · outbound

This paper cites Trajectron++: Dynamically-Feasible Trajec- tory Forecasting with Heterogeneous Data.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Trajectron++: Dynamically-Feasible Trajec- tory Forecasting with Heterogeneous Data

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.428618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cc3e9e6b-d311-42a6-9122-aee97876c8ac · outbound

This paper cites Tra- jectory Unified Transformer for Pedestrian Trajectory Pre- diction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Tra- jectory Unified Transformer for Pedestrian Trajectory Pre- diction

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.412466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 761c1e43-6ab1-4a23-a583-195d16ad3b96 · outbound

This paper cites MS-TIP: Imputation aware pedestrian trajectory prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting MS-TIP: Imputation aware pedestrian trajectory prediction

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.397110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation be4ae019-2e7b-4624-a506-73bfe5962f16 · outbound

This paper cites Three steps to multimodal trajectory prediction: Modality cluster- ing, classification and synthesis.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Three steps to multimodal trajectory prediction: Modality cluster- ing, classification and synthesis

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.381410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 571b45f4-b7b0-4dad-8002-3d26c025a818 · outbound

This paper cites Human trajectory prediction with mo- mentary observation.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Human trajectory prediction with mo- mentary observation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.366369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 53d718c3-ab17-422b-958c-88ee674c0b59 · outbound

This paper cites RAFT: Recurrent All-Pairs Field Transforms for Optical Flow.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.350908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 622e9a49-390b-4b0d-b75c-1aa22b846f83 · outbound

This paper cites Adaptive human trajectory prediction via la- tent corridors.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Adaptive human trajectory prediction via la- tent corridors

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.335502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a1c9609d-e1bb-4eb0-83b1-12d725e838cd · outbound

This paper cites van den Berg, Stephen J.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting van den Berg, Stephen J

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.320665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 640e57c1-e3cd-422c-a6da-fe40931d4eaf · outbound

This paper cites Attention is All you Need.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Attention is All you Need

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.305881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8075aab8-5104-473a-9f5e-7712bcf78e06 · outbound

This paper cites Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.291383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 21af616a-5002-4929-a0b4-34cfb7d116d0 · outbound

This paper cites MTP: Multi-hypothesis Tracking and Prediction for Reduced Error Propagation.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting MTP: Multi-hypothesis Tracking and Prediction for Reduced Error Propagation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.276626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2f7efda8-6ab2-4c39-8d7d-69971e7ef400 · outbound

This paper cites Denoising masked autoencoders help ro- bust classification.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Denoising masked autoencoders help ro- bust classification

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.261236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96cd16d0-fa25-4333-ac41-7458fec18af7 · outbound

This paper cites GroupNet: Multiscale Hypergraph Neural Net- works for Trajectory Prediction With Relational Reasoning.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting GroupNet: Multiscale Hypergraph Neural Net- works for Trajectory Prediction With Relational Reasoning

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.245769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f805ac3-3b4f-486e-8396-a96cbf4797a1 · outbound

This paper cites PreTraM: Self-Supervised Pre-training via Connecting Tra- jectory and Map.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting PreTraM: Self-Supervised Pre-training via Connecting Tra- jectory and Map

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.230690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 829f4d4e-33b1-4118-b857-e4bd6999ec63 · outbound

This paper cites Remember Intentions: Retrospective-Memory-based Trajec- tory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Remember Intentions: Retrospective-Memory-based Trajec- tory Prediction

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.216006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 75134ea9-0666-4395-b072-a9a836276e1c · outbound

This paper cites Tan, Yuhong Tan, Siheng Chen, Xin- chao Wang, and Yanfeng Wang.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Tan, Yuhong Tan, Siheng Chen, Xin- chao Wang, and Yanfeng Wang

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.201497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 311684b1-9c34-422f-b1cc-f45b36c42763 · outbound

This paper cites Eq- Motion: Equivariant Multi-agent Motion Prediction with In- variant Interaction Reasoning.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Eq- Motion: Equivariant Multi-agent Motion Prediction with In- variant Interaction Reasoning

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.186099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1f9e3a0e-06c8-4695-8edb-74043335b99e · outbound

This paper cites Adapting to Length Shift: FlexiLength Network for Trajectory Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Adapting to Length Shift: FlexiLength Network for Trajectory Prediction

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.170660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1750199c-0cb1-4b14-bc90-c7333aedc28c · outbound

This paper cites Adaptive trajectory prediction via transferable gnn.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Adaptive trajectory prediction via transferable gnn

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.153578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e47d8ae1-607a-4e7d-90ab-86c78e3dc635 · outbound

This paper cites Uncovering the Missing Pattern: Unified Frame- work Towards Trajectory Imputation and Prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Uncovering the Missing Pattern: Unified Frame- work Towards Trajectory Imputation and Prediction

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.135893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cc754e3c-af3c-4c88-8dde-e7906a9f2efa · outbound

This paper cites Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? In ICRA, 2024.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? In ICRA, 2024

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.118942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 359d061c-9d95-40d8-9774-44689c5a6271 · outbound

This paper cites Towards Robust Human Trajectory Prediction in Raw Videos.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Towards Robust Human Trajectory Prediction in Raw Videos

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.101874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7766c10-8153-4aa2-b6b6-5e78a99afe5c · outbound

This paper cites Generating Multi-Agent Trajectories using Programmatic Weak Supervision.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Generating Multi-Agent Trajectories using Programmatic Weak Supervision

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.085463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a9606b37-ac1c-4fcd-984e-0d41793c0ab1 · outbound

This paper cites OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.069937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b94117d6-0e29-4c49-9836-d9245060b9c4 · outbound

This paper cites TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.053803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1a1b27f6-5c9e-49f1-9376-c7a25fde7088 · outbound

This paper cites Towards Trajectory Forecasting From Detection.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Towards Trajectory Forecasting From Detection

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.037085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f54b3aa6-e8be-4c36-aa88-4315551d693b · outbound

This paper cites On adversarial robustness of tra- jectory prediction for autonomous vehicles.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting On adversarial robustness of tra- jectory prediction for autonomous vehicles

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.020548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7851467f-f506-4b20-9b0e-eeeb748c2e25 · outbound

This paper cites Understand- ing collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Understand- ing collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:40.001565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2820476-0f67-4a33-bb34-080c9c2aedb9 · outbound

This paper cites an unresolved cited work.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:17:39.985670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dd5e5022-1fae-4cd1-99d7-48537ac88934 · outbound

This paper cites Up to 40 pedestrians are placed in a 15m × 15m environment with up to 20 static primitive obstacles.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Up to 40 pedestrians are placed in a 15m × 15m environment with up to 20 static primitive obstacles

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:39.969018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cf5ffe49-772f-4d34-8002-c39cd1d96f6b · outbound

This paper cites Comparison with the current state-of-the-art methods on ETH-UCY and SDD for momentary trajectory prediction.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Comparison with the current state-of-the-art methods on ETH-UCY and SDD for momentary trajectory prediction

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:39.952601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d95fd774-9758-43b4-b61b-1f6506edf805 · outbound

This paper cites 9, a relatively deep encoder is crucial for optimal performance.

RealTraj: Towards Real-World Pedestrian Trajectory Forecasting 9, a relatively deep encoder is crucial for optimal performance

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:17:39.935477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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