MLSP-11.5
GENERALIZED ZERO-SHOT LEARNING USING CONDITIONAL WASSERSTEIN AUTOENCODER
Junhan Kim, Byonghyo Shim, Seoul National University, Korea, Republic of
Session:
Deep Learning for Image and Video Processing II
Track:
Machine Learning for Signal Processing
Location:
Gather Area F
Presentation Time:
Mon, 9 May, 20:00 - 20:45 China Time (UTC +8)
Mon, 9 May, 12:00 - 12:45 UTC
Mon, 9 May, 12:00 - 12:45 UTC
Session Chair:
Robert Jenssen, UiT The Arctic University of Norway
Session MLSP-11
MLSP-11.1: IMAGE-TO-GRAPH TRANSFORMERS FOR CHEMICAL STRUCTURE RECOGNITION
Sanghyun Yoo, Ohyun Kwon, Hoshik Lee, Samsung Advanced Institute of Technology, Korea, Republic of
MLSP-11.2: A SIMPLE HYBRID FILTER PRUNING FOR EFFICIENT EDGE INFERENCE
Shabbeer Basha Shaik Hussain, Sheethal N Gowda, Jayachandra Dakala, DryvAmigo, Bangalore, India., India
MLSP-11.3: AN ENHANCED DEEP LEARNING APPROACH FOR TECTONIC FAULT AND FRACTURE EXTRACTION IN VERY HIGH RESOLUTION OPTICAL IMAGES
Bilel Kanoun, Géoazur, INRIA, France; Mohamed Abderrazak Cherif, Géoazur, LuxCarta Technology, France; Isabelle Manighetti, Géoazur, France; Yuliya Tarabalka, LuxCarta Technology, France; Josiane Zerubia, INRIA, France
MLSP-11.4: JOINT LEARNING OF FEATURE EXTRACTION AND COST AGGREGATION FOR SEMANTIC CORRESPONDENCE
Jiwon Kim, Youngjo Min, Mira Kim, Seungryong Kim, Korea University, Korea, Republic of
MLSP-11.5: GENERALIZED ZERO-SHOT LEARNING USING CONDITIONAL WASSERSTEIN AUTOENCODER
Junhan Kim, Byonghyo Shim, Seoul National University, Korea, Republic of
MLSP-11.6: MBA-RainGAN: A Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal
Yiyang Shen, Yidan Feng, Dong Liang, Mingqiang Wei, Nanjing University of Aeronautics and Astronautics, China; Weiming Wang, Hong Kong Metropolitan University, China; Jing Qin, The Hong Kong Polytechnic University, China; Haoran Xie, Lingnan University, China