TA6b5: Computer Vision and Imaging
Tue, 31 Oct, 10:15 - 11:55 PT (UTC -7)
Location: Fred Farr
Session Type: Poster
Session Chair: Guan-Ming Su, Dolby Labs
Track: Speech, Image and Video Processing

TA6b5.1: Iterative Graph-Based HDR Image Enhancement
Zachary Lazri, University of Maryland, United States; Guan-Ming Su, Dolby Laboratories, United States

TA6b5.2: Personalized Food Image Classification: Benchmark Datasets and New Baseline
Xinyue Pan, Jiangpeng He, Fengqing Zhu, Purdue University, United States

TA6b5.3: Interactive Motion Blur Framework for Immersive Mobile Viewing Experiences
Dae Yeol Lee, Neeraj Gadgil, Guan-Ming Su, Dolby Laboratories, Inc., United States

TA6b5.4: Residual Encoding using Neural Field for Image Sequence Modeling
Anustup Choudhury, Guan-Ming Su, Dolby Laboratories Inc., United States; Siddhant Gautam, Michigan State University, United States

TA6b5.5: FGSSAT : Unsupervised Fine-Grain Attribution of Unknown Speech Synthesizers Using Transformer Networks
Kratika Bhagtani, Amit Kumar Singh Yadav, Ziyue Xiang, Purdue University, United States; Paolo Bestagini, Politecnico di Milano, Italy; Edward J. Delp, Purdue University, United States

TA6b5.6: Neural Segmentation Field in 3D Scene
Tsung-Wei Huang, Dolby Laboratories, Inc., United States; Peihan Tu, University of Maryland, College Park, United States; Guan-Ming Su, Dolby Laboratories, Inc., United States

TA6b5.7: Partition Generation from Clustering using Key Point Detection
Allen Rush, Sally Wood, Santa Clara University, United States

TA6b5.8: An Improved Spline-Based Learned Convex Regularizer for Image Recovery
Srijith Nair, Philip Schniter, Ohio State, United States