IMC - Immersive Media Compression Workshop

Session Chair: Giuseppe Valenzise

Time: Monday 10 July, 08:30 to 10:00 / 10:30 to 12:00 / 13:30 to 15:00

Room: P1

• Normal-based Global Motion Estimation for LiDAR Point Cloud Lossless Geometry Compression 

• Wenhua Lou (Northwestern Polytechnical University)
• Shuai Wan (Northwestern Polytechnical University)
• Lei Wei (Northwestern Polytechnical University)
• FuZheng Yang (Xidian University)

• Disentangled Feature Distillation for Light Field Super-Resolution with Degradations 

• Linjie Zhou (Peking University)
• Wei Gao (SECE, Shenzhen Graduate School, Peking University)
• Ge Li (Peking University)
• Hui Yuan (School of Control Science and Engineering, Shandong University)
• Tiesong Zhao (Fuzhou University)
• guanghui Yue (Shenzhen university)

• FBRA360: A Fuzzy-based bitrate adaptation scheme for 360° video streaming 

• Si-Ze Qian (Communication university of China)
• Yuan Zhang (Communication University of China)
• Tao Lin (Communication University of China)

• Texture coordinate prediction using structural information for MPEG V-DMC 

• Wenjie Zou (Xidian University)
• FuZheng Yang (Xidian University)
• Wenji Zou (Xidian University)
• FuZheng Yang (Xidian University)  

• K3BO: KEYPOINT-BASED BOUNDING BOX OPTIMIZATION FOR RADIANCE FIELD RECONSTRUCTION FROM MULTI-VIEW IMAGES 

• Joshua Maraval (b<>com)
• Nicolas RAMIN (b<>com)
• Lu Zhang (INSA Rennes)

• Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation 

• zihao Li (Nanjing University of Aeronautics and Astronautics)
• Pan Gao (Nanjing University of Aeronautics and Astronautics)
• Hui Yuan (School of Control Science and Engineering, Shandong University)
• Ran Wei (Science and Technology on Electro-optic Control Laboratory)
• Manoranjan Paul (Charles Sturt University, Australia)

• VIDEO-BASED POINT CLOUD COMPRESSION USING DENSITY-BASED VARIABLE SIZE HEXAHEDRONS 

• Faranak Tohidi (Charles Sturt University)
• Manoranjan Paul (Charles Sturt University, Australia)

• DMVC: Deep Mesh Vertex Compression 

• Xinyao Zeng (Shanghai Jiao Tong University)
• Xudong Zhao (Shanghai Jiao Tong University)
• Linyao Gao (Shanghai Jiao Tong University)
• Yiling Xu (Shanghai Jiao Tong University)
• Yunfeng Guan (Shanghai Jiao Tong University)

• Learn how to prune pixels for multi-view neural image-based synthesis 

• Marta Milovanovic (Télécom Paris)
• Enzo Tartaglione (Télécom Paris - Institut Polytechnique de Paris)
• Félix Henry (Orange Labs)

Session Chair Signature                                         Date/Time:

CfM - Coding for Machines Workshop

Chair: Ivan V. Bajić / Hyomin Choi

Time: Monday 10 July, 08:30-10:00 / 10:30-12:00 / 13:30 – 15:00 / 15:30-17:00

Room: P2

8:30am - 9:00am   Welcome and opening

9:00am - 10:00am  Keynote lecture (Prof. Yao Wang, NYU)

10:00am - 10:30am Coffee break

10:30am - 12:00pm Tutorial on CompressAI and CompressAI-vision (Dr. Hyomin Choi, InterDigital)

12:00pm - 1:30pm  Lunch break

1:30pm - 3:00pm   Session 1: Visual Coding for Machines

Rate-Controllable and Target-Dependent JPEG-Based Image Compression Using Feature Modulation

• Seongmoon Jeong (Sungkyunkwan University)
• Kang Eun Jeon (Sungkyunkwan University)
• Jong Hwan Ko (Sungkyunkwan University) 

Stabilizing the Convolution Operations for Neural Network-based Image and Video Codecs for Machines

• Honglei Zhang (Nokia Technologies)
• Nam Le (Nokia Technologies)
• Francesco Cricri (Nokia Technologies)
• Hamed Rezazadegan Tavakoli (Nokia Technologies)

Feature-Guided Machine-Centric Image Coding for Downstream Tasks

• SANGWOON KWAK (Electronics and Telecommunications Research Institute (ETRI))
• Joungil Yun (Electronics and Telecommunications Research Institute (ETRI))
• Hyon-Gon Choo (Electronics and Telecommunications Research Institute (ETRI))
• Munchurl Kim (Korea Advanced Institute of Science and Technology)

FLEXIBLE VARIABLE-RATE IMAGE FEATURE COMPRESSION FOR EDGE-CLOUD SYSTEMS

• Md Adnan Faisal Hossain (Purdue University)
• Zhihao Duan (Purdue University)
• Yuning Huang (Purdue University)
• Fengqing Zhu (Purdue University)

3:00pm - 3:30pm   Coffee break

3:30pm - 5:00pm   Session 2: Coding for Humans and Machines

NARV: An Efficient Noise-Adaptive ResNet VAE for joint image compression and denoising

• Yuning Huang (Purdue University)
• Zhihao Duan (Purdue University)
• Fengqing Zhu (Purdue University)

Conditional and Residual Methods in Scalable Coding for Humans and Machines

• Anderson de Andrade (Simon Fraser University)
• Alon Harell (Simon Fraser University)
• Yalda Foroutan (Simon Fraser University)
• Ivan Bajic (Simon Fraser University)

VVC+M: Plug and Play Scalable Image Coding for Humans and Machines

• Alon Harell (Simon Fraser University)
• Yalda Foroutan (Simon Fraser University)
• Ivan Bajic (Simon Fraser University)

FACE RESTORATION-BASED SCALABLE QUALITY CODING FOR VIDEO CONFERENCING

• Hyomin Choi (InterDigital)
• Fabien Racape (InterDigital)
• Simon Feltman (InterDigital)

Session Chair Signature                                         Date/Time:

Tutorial

Semantic Communication for High Bandwidth Multimedia Applications in Emerging 6G Mobile Communication Systems

Presenters: Prof. Nandana Rajatheva (University of Oulu, Finland) and Prof. Anil Fernando (University of Strathclyde, UK)

Time: Monday 10 July, 08:30 – 10:00 / 10:30 to 12:00

Room: P3 (Delivered Online via Youtube. Link to be posted here soon) 

3D Point Cloud Compression and Processing for Multi-Dimensional Applied Perception

Presenters: Asst. Prof. Wei Gao (Peking University, China) and Prof. Ge Li (Peking University, China)

Time: Monday 10 July, 08:30 – 10:00 / 10:30 to 12:00

Room: P4

Machine Learning for Image and Multimedia Reconstruction: From Sparse Modelling to Deep Neural Networks

Presenters: Prof. Bihan Wen (Nanyang Technological University, Singapore) and Prof. Saiprasad Ravishankar (Michigan State University, USA)

Time: Monday 10 July, 08:30 – 10:00 / 10:30 to 12:00

Room: P5

Deep Learning for Image Compression: Theory, Techniques, Validation with Medical Images and Driving Videos

Presenters: Dr Debdoot Sheet (Indian Institute of Technology, India), Rakshith Sathish (Indian Institute of Technology, India), and Dr Ramanathan Sethuraman (Intel, India)

Time: Monday 10 July, 13:30 to 15:00 / 15:30 to 17:00

Room: P3

Internet of Video Things (IoVT) and Applications

Presenters: Prof. Chang-Wen Chen (The Hong Kong Polytechnic University, China) and Dr. Shiqi Wang, Assistant Professor (City University of Hong Kong, China)

Time: Monday 10 July, 13:30 to 15:00 / 15:30 to 17:00

Room: P4

Advances in HTTP Adaptive Streaming: new Standards, Video Codecs, and Encoding Optimization Techniques

Presenters: Dr. Hadi Amirpour (Alpen-Adria-Universität Klagenfurt), Prof. Dr. Christian Timmerer (Alpen-Adria-Universität Klagenfurt), Dr. Nabajeet Barman (Kingston University & Brightcove), Dr. Yuriy A. Reznik (Brightcove, Inc., USA)

Time: Monday 10 July, 13:30 to 15:00 / 15:30 to 17:00

Room: P5

Session Chair Signature                                         Date/Time:

Grand Challenge

PFTG - Predicting Frags in Tactic Games Grand Challenge

Chair: Andrzej Janusz

Time: Monday 10 July, 08:30 to 10:00

Room: Plaza Terrace

• Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report 

• Sławomir Pioroński (Adam Mickiewicz University in Poznan)
• Tomasz Górecki (Adami Mickiewicz University in Poznań)

• A fast gradient boosting based approach for predicting frags in tactic games 

• Haitao Xiao (Institute of Information Engineering, Chinese Academy of Sciences)
• Yuling Liu (Institute of Information Engineering, Chinese Academy of Sciences)
• Zhigang Lu (Institute of Information Engineering, Chinese Academy of Sciences)

• Predicting Frags in Tactic Games using Machine Learning Techniques and Intuitive Knowledge 

• chang lin (Beijing university of posts and telecommunications)

• On the Irrelevance of Machine Learning Algorithms and the Importance of Relativity 

• Carlos Huertas (Amazon)

• Predicting Player Performance in Tactical Games With the LightGBM Algorithm 

• Sławomir Pioroński (Adam Mickiewicz University in Poznan)
• Tomasz Górecki (Adami Mickiewicz University in Poznań)  

• FEATURE ENGINEERING FOR PREDICTING FRAGS IN TACTICAL GAMES 

• Dymitr Ruta (Khalifa University)
• MING LIU (EBTIC)
• Cen Ling (EBTIC)
• Di Wang (Khalifa University)

Session Chair Signature                                         Date/Time:

ODSS - Lower-Power Deep Learning Object Detection and Semantic Segmentation Multitask Model Compression Competition for Traffic Scene in Asian Countries - Grand Challenge

Chair: Prof. Chia-chi Tsai

Time: Monday 10 July, 10:30 to 12:00

Room: Plaza Terrace

  SUMMARY OF THE 2023 LOW-POWER DEEP LEARNING OBJECT DETECTION AND SEMANTIC SEGMENTATION MULTITASK MODEL COMPRESSION COMPETITION FOR TRAFFIC SCENE IN ASIAN COUNTRIES 

• Yu-Shu NI ( National Yang Ming Chiao Tung University)
• Chia-Chi Tsai (National Cheng Kung University)
• Hsien-Kai Kuo (MediaTek)
• Po-Yu Chen (MediaTek)
• Po-chi Hu (PAIR Labs)
• Ted Kuo (National Yang Ming Chiao Tung University)
• Jenq-Neng Hwang (University of Washington)
• Jiun-In Guo (National Chiao Tung University)

  Swift Concurrent Semantic Segmentation and Object Detection on Edge Devices 

• Chih-Chung Hsu (National Cheng Kung University)
• Yun-Zhong Jiang (National Cheng Kung University)
• Wei-Hao Huang (National Cheng Kung University)

  Multitask YOLO: Versatile Perception Network for Autonomous Driving 

• HONG MING CHEN (Independent Researcher)

  Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving Perception 

• Wei-Cheng Lin (National Yang Ming Chiao Tung University)
• Sheng-Feng Yu (Macronix International Co., Ltd.)
• Yu-Chen Lu (National Yang Ming Chiao Tung University)
• Chi-Chih Chang (National Yang Ming Chiao Tung University)
• Pei-Shuo Wang (National Yang Ming Chiao Tung University)
• Kuan-Cheng Lin (National Yang Ming Chiao Tung University)
• Kai-Chiang Wu (National Chiao Tung University)

Session Chair Signature                                         Date/Time:

STRAIN - Seeing Through the Rain Grand Challenge

Chair: Chih-Chung Hsu

Time: Monday 10 July, 13:30 to 15:00

Room: Plaza Terrace

• A Clearer Image: Improving Object Detection in Real Rainy Conditions with Two-Stage Processing 

• Mingxuan Yang (Wuhan University of Technology)
• Xiyu Han (Wuhan University of Technology)
• Xianyao Ping (Wuhan University of Technology)
• Zipeng Li (Wuhan University of Technology)
• Jing Xiao (Wuhan University)

• Comprehensive Augmented Domain Adaptation for Image Segmentation Under Rainy Conditions 

• Minghao Liu (Peking University)
• Jiaxuan Xie (PKU)
• Yuzhang Hu (Peking University)
• Wenhan Yang (Peng Cheng Laboratory)
• Jiaying Liu (Peking University)

• Real Rainy Scene Analysis: A Dual-Module Benchmark for Image Deraining and Segmentation 

• shilei zhao (Wuhan University of Technology)
• Wenxin Huang (Hubei University)
• Mingxuan Yang (Wuhan University of Technology)
• Wenxuan Liu (Wuhan University of Technology)

• Prompt What You Need: Enhancing Segmentation in Rainy Scenes with Anchor-based Prompting 

• Xiaoyu Guo (Beijing Jiaotong University)
• Xiang Wei (Beijing Jiaotong University)
• Qi Su (Beijing Jiaotong University)
• Huiqin Zhao (Beijing Jiaotong University)
• Shunli Zhang (Beijing Jiaotong University)

Session Chair Signature                                         Date/Time:

AVA - Anticipating Vehicle Accidents Grand Challenge

Chair: Assist.Prof. Chih-Chung Hsu

Time: Monday 10 July, 15:30 to 17:00  

Room: Plaza Terrace

  IMPROVED DYNAMIC SPATIAL-TEMPORAL ATTENTION NETWORK FOR EARLY ANTICIPATION OF TRAFFIC ACCIDENTS 

• Yi Chao (NanJing University)
• Ting-Ji Huang (Nanjing University)
• Han-Jia Ye (Nanjing University)
• De-Chuan Zhan (Nanjing University)

  Predicting Car Accidents with YOLOv7 Object Detection and Object Relationships 

• MING-XUAN WU (National Pingtung University of Science and Technology Department of Management Information System)
• Chi-Sheng Chang (National United University)
• jr-ming Miao (National Pingtung University of Science and Technology Department of Biomechatronics Engineering)
• Chia-Yen Lee (National United University)

  DEEP LEARNING-BASED DECISION-MAKING OF AUTONOMOUS VEHICLE TO PREDICT ACCIDENTS 

• Abida Khanum (National Cheng Kung University)
• Chao-Yang Lee (National Yunlin University of Science and Technology)
• Chu Sing Yang (NCKU)

Session Chair Signature                                         Date/Time:

Detecting Cheapfakes Grand Challenge

Chair: Minh-Son Dao

Time: Monday 10 July, 15:30 to 17:00  

Room: P1

• MULTI-MODELS FROM COMPUTER VISION TO NATURAL LANGUAGE PROCESSING FOR CHEAPFAKES DETECTION 

• Thanh-Son Nguyen (University of Science, VNU-HCM)
• Minh-Triet Tran (University of Science, VNU-HCM)

• LEVERAGING KNOWLEDGE GRAPHS FOR CHEAPFAKES DETECTION: BEYOND DATASET EVALUATION 

• Minh-Son Dao (National Institute of Information and Communications Technology)
• Koji Zettsu (National Institute of Information and Communications Technology )

• Cheap-fake Detection with LLM using Prompt Engineering 

• Guangyang Wu (UESTC)
• Wu Weijie (UESTC)
• Xiaohong Liu (Shanghai Jiao Tong University)
• Kele Xu (National Key Laboratory of Parallel and Distributed Processing (PDL))
• Tianjiao Wan (National University of Defense Technology)
• Wenyi Wang (UESTC)

Session Chair Signature                                         Date/Time: