HP-V1.V6.6
MinConvNets: A new class of multiplication-less Neural Networks
Xuecan Yang, Sumanta Chaudhuri, Laurence Likforman, Lirida Naviner de Barros, Telecom Paris, France
Session:
New Challenges in Image Processing
Track:
Special Sessions
Location:
Gather.Town 6
Presentation Time:
Thu, 6 Oct, 21:00 - 22:00 China Standard Time (UTC +8)
Thu, 6 Oct, 15:00 - 16:00 Central European Time (UTC +1)
Thu, 6 Oct, 13:00 - 14:00 UTC
Thu, 6 Oct, 09:00 - 10:00 Eastern Time (UTC -5)
Thu, 6 Oct, 15:00 - 16:00 Central European Time (UTC +1)
Thu, 6 Oct, 13:00 - 14:00 UTC
Thu, 6 Oct, 09:00 - 10:00 Eastern Time (UTC -5)
Session Co-Chairs:
Meriem Outtas, INSA Rennes and Antonio Pinheiro, Universidade da Beira Interior
Presentation
Discussion
Resources
No resources available.
Session HP-V1.V6
HP-V1.V6.1: A COGNITIVE PERSPECTIVE ON SUBJECTIVE AND OBJECTIVE DIAGNOSTIC IMAGE QUALITY MODELS
Jorge Caviedes, Robert Gutzwiller, Baoxin Li, Raghav Bhat, Sachin Chhabra, Arizona State University, United States of America; Bhavika Patel, Mayo Clinic Arizona, United States of America
HP-V1.V6.2: BLIND VIDEO QUALITY ASSESSMENT VIA SPACE-TIME SLICE STATISTICS
Qi Zheng, Zhijian Hao, Xiaoyang Zeng, Yibo Fan, Fudan University, China; Zhengzhong Tu, Alan C. Bovik, The University of Texas at Austin, United States of America
HP-V1.V6.3: FONT WATERMARKING NETWORK FOR TEXT IMAGES
Yinan Li, Weiming Zhang, Han Fang, Xi Yang, Zehua Ma, Nenghai Yu, University of Science and Technology of China, China
HP-V1.V6.4: TOWARDS GENERALIZABLE DEEPFAKE FACE FORGERY DETECTION WITH SEMI-SUPERVISED LEARNING AND KNOWLEDGE DISTILLATION
Yuzhen Lin, Han Chen, Bin Li, Junqiang Wu, Shenzhen University, China
HP-V1.V6.5: TUNING NEURAL ODE NETWORKS TO INCREASE ADVERSARIAL ROBUSTNESS IN IMAGE FORENSICS
Roberto Caldelli, CNIT, Italy; Fabio Carrara, Fabrizio Falchi, CNR, Italy
HP-V1.V6.6: MinConvNets: A new class of multiplication-less Neural Networks
Xuecan Yang, Sumanta Chaudhuri, Laurence Likforman, Lirida Naviner de Barros, Telecom Paris, France
HP-V1.V6.7: NLCMAP: A FRAMEWORK FOR THE EFFICIENT MAPPING OF NON-LINEAR CONVOLUTIONAL NEURAL NETWORKS ON FPGA ACCELERATORS
Giuseppe Aiello, Beatrice Bussolino, Emanuele Valpreda, Massimo Ruo Roch, Guido Masera, Maurizio Martina, Politecnico di Torino, Italy; Stefano Marsi, Università di Trieste, Italy
HP-V1.V6.8: INFRARED AND VISIBLE IMAGE REGISTRATION FOR AIRBORNE CAMERA SYSTEMS
Marc-Antoine Drouin, National Research Council Canada, Canada; Jonathan Fournier, Defence Research and Development Canada, Canada
HP-V1.V6.9: RIChEx: A ROBUST INTER-FRAME CHANGE EXPOSURE FOR SEGMENTING MOVING OBJECTS
Prafulla Saxena, Kuldeep Biradar, Dinesh Kumar Tyagi, Malviya National Institute of Technology Jaipur, India; Santosh Kumar Vipparthi, Indian Institute of Technology Guwahati, India
HP-V1.V6.10: Optimal transport with a new preprocessing for deep-learning full waveform inversion
Hao Zhang, Harbin Institute of Technology, China; Jianwei Ma, Peking University, China
HP-V1.V6.11: Nondeterministic Deformation analysis using Quasiconformal Geometry
Han Zhang, Lok Ming Lui, The Chinese University of Hong Kong, Australia
HP-V1.V6.12: DISENTANGLED SEQUENTIAL AUTOENCODER WITH LOCAL CONSISTENCY FOR INFECTIOUS KERATITIS DIAGNOSIS
Yuxuan Si, Zhengqing Fang, Kun Kuang, Zhengxing Huang, Yu-Feng Yao, Fei Wu, Zhejiang University, China
HP-V1.V6.13: ADVANCED MOTION VECTOR DIFFERENCE CODING BEYOND AV1
Liang Zhao, Xin Zhao, Shan Liu, Tencent America, United States of America
HP-V1.V6.14: Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: A New Stability Criterion for Explainable Methods
Ahmed Salih, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland; Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, University of Verona, Italy; Petia Radeva, Universitat de Barcelona, Spain
HP-V1.V6.15: HIGH-RESOLUTION NIR PREDICTION FROM RGB IMAGES: APPLICATION TO PLANT PHENOTYPING
Ankit Shukla, Avinash Upadhyay, Manoj Sharma, Bennett University, India; Viswanathan Chinnusamy, Sudhir Kumar, Indian Agriculture Research Institute, India