MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?

MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?

21 August 2021

Gianluca Maugeri

Riccardo Gasparini

Simone Calderara

Laura Leal-Taixe

Papers citing "MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?"

18 / 18 papers shown

Title
Improving Object Detection by Modifying Synthetic Data with Explainable AI Nitish Mital Simon Malzard Richard Walters Celso M. De Melo Raghuveer Rao Victoria Nockles 80 0 0 02 Dec 2024
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark Sanghyun Woo Kwanyong Park Inkyu Shin Myungchul Kim In So Kweon 36 0 0 29 Mar 2024
Multiple Object Tracking as ID Prediction Ruopeng Gao Yijun Zhang Limin Wang 55 12 0 25 Mar 2024
Adaptive Human Trajectory Prediction via Latent Corridors Neerja Thakkar K. Mangalam Andrea V. Bajcsy Jitendra Malik 22 4 0 11 Dec 2023
ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection D. Reshetova Guanhang Wu Marcel Puyat Chunhui Gu Huizhong Chen ViT 26 0 0 21 Jul 2023
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection A. Farley Mohsen Zand Michael A. Greenspan DiffM 21 1 0 16 May 2023
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification Luca Piano F. G. Pratticó Alessandro Sebastian Russo Lorenzo Lanari Lia Morra Fabrizio Lamberti 34 1 0 16 Apr 2023
SDTracker: Synthetic Data Based Multi-Object Tracking Yingda Guan Zhengyang Feng Huiying Chang Kuo Du Tingting Li Min Wang 26 0 0 26 Mar 2023
Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production Anyi Rao Xuekun Jiang Yuwei Guo Linning Xu Lei Yang Libiao Jin Dahua Lin Bo Dai VGen 23 15 0 30 Jan 2023
Large Scale Real-World Multi-Person Tracking Bing Shuai Alessandro Bergamo Uta Buechler Andrew G. Berneshawi Alyssa Boden Joseph Tighe 18 13 0 03 Nov 2022
Multiple Object Tracking in Recent Times: A Literature Review Mk Bashar Samia Islam Kashifa Kawaakib Hussain Md. Bakhtiar Hasan A. A. Ashikur Rahman M. H. Kabir VOT 38 23 0 11 Sep 2022
Synthetic Dataset Generation for Adversarial Machine Learning Research Xiruo Liu Shibani Singh Cory Cornelius Colin Busho Mike Tan Anindya Paul Jason Martin AAML 28 2 0 21 Jul 2022
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric Malte Pedersen Joakim Bruslund Haurum Patrick Dendorfer T. Moeslund VOT 23 1 0 20 Jul 2022
People Tracking and Re-Identifying in Distributed Contexts: Extension Study of PoseTReID Ratha Siv M. Mancas B. Gosselin Dona Valy Sokchenda Sreng VOT 21 0 0 20 May 2022
Panoptic Segmentation using Synthetic and Real Data Camillo Quattrocchi Daniele Di Mauro Antonino Furnari G. Farinella 28 2 0 14 Apr 2022
Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification Suncheng Xiang Dahong Qian Mengyuan Guan Binghai Yan Guanjie You Ting Liu Yuzhuo Fu AI4TS 26 31 0 22 Sep 2021
MOT20: A benchmark for multi object tracking in crowded scenes Patrick Dendorfer Hamid Rezatofighi Anton Milan Javen Qinfeng Shi Daniel Cremers Ian Reid Stefan Roth Konrad Schindler Laura Leal-Taixé VOT 179 632 0 19 Mar 2020
CrowdHuman: A Benchmark for Detecting Human in a Crowd Shuai Shao Zijian Zhao Boxun Li Tete Xiao Gang Yu Xiangyu Zhang Jian-jun Sun 222 675 0 30 Apr 2018