MLSP-L11.3
RETAINING INFORMATIVE LATENT VARIABLES IN PROBABILISTIC SEGMENTATION
Amaan Valiuddin, Christiaan Viviers, Ruud van Sloun, Peter de With, Fons van der Sommen, Eindhoven University of Technology, Netherlands
Session:
MLSP-L11: Deep Generative Models II Lecture
Track:
Machine Learning for Signal Processing
Location:
Room 104
Presentation Time:
Wed, 17 Apr, 17:10 - 17:30 (UTC +9)
Session Co-Chairs:
Danilo Comminiello, Sapienza University of Rome and Feng Yin, City University of Hong Kong
Session MLSP-L11
MLSP-L11.1: ENHANCING GAN PERFORMANCE THROUGH NEURAL ARCHITECTURE SEARCH AND TENSOR DECOMPOSITION
Prasanna Reddy Pulakurthi, Mahsa Mozaffari, Sohail A. Dianat, Majid Rabbani, Jamison Heard, Rochester Institute of Technology, United States of America; Raghuveer Rao, DEVCOM Army Research Laboratory, United States of America
MLSP-L11.2: DIFFRENT: A DIFFUSION MODEL FOR RECORDING ENVIRONMENT TRANSFER OF SPEECH
Jaekwon Im, Juhan Nam, KAIST, Korea, Republic of
MLSP-L11.3: RETAINING INFORMATIVE LATENT VARIABLES IN PROBABILISTIC SEGMENTATION
Amaan Valiuddin, Christiaan Viviers, Ruud van Sloun, Peter de With, Fons van der Sommen, Eindhoven University of Technology, Netherlands
MLSP-L11.4: HUMAN MOTION GENERATION VIA CONDITIONED GMVAE WITH TUNET
Yongqi Liu, Jiashuang Zhou, Xiaoqin Du, Wuhan Textile University, China
MLSP-L11.5: FAST PERSONALIZED TEXT TO IMAGE SYNTHESIS WITH ATTENTION INJECTION
Yuxuan Zhang, Yiren Song, Shanghai Jiao Tong University, China; Jinpeng Yu, ShanghaiTech University, China; Han Pan, Zhongliang Jing, Shanghai Jiao Tong University, China
MLSP-L11.6: Time Changed Normalizing Flows for accurate SDE modeling
Naoufal EL BEKRI, Univ Brest, France; Lucas Drumetz, IMT Atlantique, France; Franck Vermet, Univ Brest, France
Contacts