2022 WORKSHOP PROGRAM
This year’s CVPR main conference will be hosting at New Orleans, Louisiana, US. Our AI City Challenge workshop this year will be mostly on-site and combined with virtual attendance support.
Note: All times are based on US Central Time Zone (CDT).
- Monday, June 20, 2022
- Workshop
- www.aicityclallenge.org
9:30 AM – 10:15 AM
Keynote
3D Computer Visison for Dynamic Scene Understanding (presentation recording)
Speaker: Daniel Cremers, Technische Universität München
10:15 AM – 10:20 AM
Break (5 minutes)
10:20 AM – 11:20 AM
Paper Presentations – Track1 (60 minutes, 45 mins pre-recorded videos)
(1) Box-Grained Reranking Matching for Multi-Camera Multi-Target Tracking – 10 minutes (media)
Yang, Xipeng; Ye, Jin*; Lu, Jincheng; Gong, Chenting; Jiang, Minyue; Lin, Xiangru; Zhang, Wei; Tan, Xiao; Li, Yingying; Ye, Xiaoqing; Ding, Errui
(2) Multi-Camera Vehicle Tracking System for AI City Challenge 2022 – 10 minutes (media)
Nie, Ding*; Li, Fei; Wang, Zhen
(3) City-Scale Multi-Camera Vehicle Tracking based on Space-Time-Appearance Features – 5 minutes (media)
Yao, Hui*; Duan, Zhizhao; Xie, Zhen; Chen, Jinbo; Wu, Xi; Xu, Duo; Gao, Yutao
(4) Improving Multi-Target Multi-Camera Tracking by Track Refinement and Completion – 5 minutes (media)
Specker, Andreas*; Florin, Lucas; Cormier, Mickael; Beyerer, Jürgen
(5) A Robust Traffic-Aware City-Scale Multi-Camera Vehicle Tracking Of Vehicles – 5 minutes (media)
Nguyen-Ngoc Tran, Duong*; Pham, Long H; Jeon, Hyung-Joon; Nguyen, Huy Hung; Jeon, Hyung-Min; Huu-Phuong Tran, Tai; Jeon, Jae
(6) Multi-Camera Multi-Vehicle Tracking with Domain Generalization and Contextual Constraints – 5 minutes (media)
Chung, Nhat Minh; Le, Huy; Nguyen, Vuong; Nguyen, Quang; Nguyen, Thong; Thai, Tin; Ha, Synh Viet-Uyen*
(7) Multi-Camera Vehicle Tracking Based on Occlusion-aware and Inter-vehicle Information – 5 minutes (media)
Liu, Yuming*; Zhang, Bingzhen; Zhang, Xiaoyong; Wang, Sen; Xu, Jianrong
11:20 AM – 12:10 PM
Paper Presentations – Track2 (50 minutes, 40 mins pre-recorded videos)
(1) A Multi-granularity Retrieval System for Natural Language-based Vehicle Retrieval – 10 minutes (media)
Lin, Xiangru*; Zhang, Jiacheng; Jiang, Minyue; Yu, Yue; Gong, Chenting; Zhang, Wei; Tan, Xiao; Li, Yingying; Ding, Errui; Li, Guanbin
(2) Tracked-Vehicle Retrieval by Natural Language Descriptions With Domain Adaptive Knowledge – 10 minutes (media)
Le, Huy; Nguyen, Quang; Nguyen, Vuong; Nguyen, Thong; Chung, Nhat Minh; Thai Trung, Tin; Ha, Synh Viet-Uyen*
(3) Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle Retrieval – 5 minutes (media)
Zhao, Chuyang*; chen, haobo; Zhang, Wenyuan; Chen, Junru; Sipeng, Zhang; li, yadong; Li, Boxun
(4) Text Query based Traffic Video Event Retrieval with Global-Local Fusion Embedding – 5 minutes (media)
Pham, Khoi Minh; Nguyen-Ho, Thang-Long; Nguyen, Tien-Phat; Do, Minh; Nguyen, Tam; Tran, Minh-Triet*
(5) Natural Language-Based Vehicle Retrieval with Explicit Cross-Modal Representation Learning – 5 minutes (media)
Xu, Bocheng; Yihua, Xiong; Zhang, Rui*; Feng, Yanyi; Wu, Haifeng
(6) OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval – 5 minutes (media)
Du, Yunhao; Zhang, Binyu; RUAN, XIANGNING; Su, Fei; Zhao, Zhicheng*; Chen, Hong
12:10 PM – 13:00 PM
Lunch Break (50 minutes)
01:00 PM – 02:20 PM
Paper Presentations – Track 3 (80 mins, 60 mins pre-recorded videos)
(1) An Effective Temporal Localization Method with Multi-View 3D Action Recognition for Untrimmed Naturalistic Driving Videos – 10 minutes (media)
Bui, Nam Khac Hoai*
(2) Stargazer: A Transformer-based Driver Action Detection System for Intelligent Transportation – 10 minutes (media)
Liang, Junwei*; Zhu, He; Zhang, Enwei; Zhang, Jun
(3) Learning Generalized Feature for Temporal Action Detection: Application for Natural Driving Action Recognition Challenge – 5 minutes (media)
Nguyen, Chuong H*
(4) MV-TAL: Mulit-view Temporal Action Localization in Naturalistic Driving – 5 minutes (media)
Li, Wei*; Chen, Shimin; Gu, Jianyang; Wang, Ning; Chen, Chen; Guo, Yandong
(5) Federated Learning-based Driver Activity Recognition for Edge Devices – 5 minutes (media)
Doshi, Keval*; Yilmaz, Yasin
(6) PAND: Precise Action Recognition on Naturalistic Driving – 5 minutes (media)
zhao, Hangyue; Xiao, Yuchao; Zhao, Yanyun *
(7) A Coarse-to-Fine Boundary Localization method for Naturalistic Driving Action Recognition – 5 minutes (media)
Chen, Zhenzhong*; Ding, Guanchen; Han, Wenwei; Wang, Chenglong; Cui, MingPeng; Zhou, Lin; Pan, Dianbo; Wang, Jiayi; Zhang, Junxi
(8) Density-Guided Label Smoothing for Temporal Localization of Driving Actions – 5 minutes (media)
Alkanat, Tunc; Akdag, Erkut*; Bondarev, Egor; de With, P. H. N.
(9) Temporal Driver Action Recognition using Action Classification Method – 5 minutes (media)
Alyahya, Munirah N*; ALhussan, Taghreed M; Alghannam, Shahad
(10) Key Point-Based Driver Activity Recognition – 5 minutes (media)
Vats, Arpita; Anastasiu, David C*
02:20 PM – 03:05 PM
Paper Presentations – Track 4 (45 mins, 35 mins pre-recorded videos)
(1) Amazing Results With Limited Data In Multi-Class Product Counting and Recegnition – 10 minutes (media)
Wan, Junfeng*; Shuhao, Qian; Tian, Zihan; Zhao, Yanyun
(2) DeepACO: A Robust Deep Learning-based Automatic Checkout System – 10 minutes (media)
Pham, Long H*; Nguyen-Ngoc Tran, Duong; Nguyen, Huy Hung; Huu-Phuong Tran, Tai; Jeon, Hyung-Joon; Jeon, Hyung-Min; Jeon, Jae
(3) VISTA: Vision Transformer enhanced by U-Net and Image Colorfulness Frame Filtration for Automatic Retail Checkout – 5 minutes (media)
Shihab, Md. Istiak Hossain; Tasnim, Nazia*; Zunair, Hasib; Rupty, Labiba K; Mohammed, Nabeel
(4) A Region-Based Deep Learning Approach to Automated Retail Checkout – 5 minutes (media)
Shoman, Maged*; Aboah, Armstrong; Morehead, Alex; Duan, Ye; Daud, Abdulateef; Adu-Gyamfi, Yaw
(5) PersonGONE: Image Inpainting for Automated Checkout Solution – 5 minutes (media)
Bartl, Vojtěch*; Špaňhel, Jakub; Herout, Adam
03:05 PM – 03:10 PM
Paper Presentations – Additional (5 mins, 5 mins pre-recorded videos)
(From Track1 of the 2021 Challenge)
(1) Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic – 5 minutes (media)
Bharadhwaj, Manoj*; Ramadurai, Gitakrishnan; Ravindran, Balaraman
03:10 PM – 03:25 PM
Break (15 minutes)
03:25 PM – 03:45 PM
Open Discussion and Summary of Challenges (20 minutes)
03:45 PM – 04:45 PM
Panel Discussion (recording)
panelists: Milind Naphade, Ming-Ching Chang, David Anastasiu, Anuj Sharma, Liang Zheng
Topic1: Ethics and Privacy of AI for Smart City and Social Good (30 mins)
Topic2: Synthetic Data Generation for Large-Scale Training and Deployment of AI Models (30 mins)
05:00 PM
Adjourn