MLSP-P5: Deep Learning Techniques II
Tue, 16 Apr, 16:30 - 18:30 (UTC +9)
Location: Poster Zone 2A
Session Type: Poster
Session Chair: Xixin Wu, Chinese University of Hong Kong
Track: Machine Learning for Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

MLSP-P5.1: MULTIWAY-ADAPTER: ADAPTING MULTIMODAL LARGE LANGUAGE MODELS FOR SCALABLE IMAGE-TEXT RETRIEVAL

Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon Camarasa, The University of Glasgow, United Kingdom of Great Britain and Northern Ireland
 

MLSP-P5.2: Dataset Distillation with Channel Efficient Process

Wenbo Zhou, Guoqing Zheng, Xinghao Ding, School of Informatics, Xiamen University, China
 

MLSP-P5.3: DEFORMATION AND PENETRATION HYBRID DETECTION-NET FOR PARCELS INSPECTION IN INDUSTRIAL SUPPLY CHAIN

Zhi Chen, Jinan University, China; Cuifeng Du, Cetc Potevio Science Technology Co., Ltd, China; Xiujie Huang, Zelong Lin, Yuyu Zhou, Quanlong Guan, Zhefu Li, Shuanghuan Lv, Jinan University, China; Xiaofeng Wu, Guangzhou Polytechnic of Sports, China; Xiaotian Zhuang, Beijing JD Zhenshi Information Technology Co., Ltd, China
 

MLSP-P5.4: Augment on Manifold: Mixup Regularization with UMAP

Yousef El-Laham, Elizabeth Fons, J.P. Morgan AI Research, United States of America; Dillon Daudert, Stony Brook University, United States of America; Svitlana Vyetrenko, J.P. Morgan AI Research, United States of America
 

MLSP-P5.5: IMPROVING CONTINUAL LEARNING OF ACOUSTIC SCENE CLASSIFICATION VIA MUTUAL INFORMATION OPTIMIZATION

Muqiao Yang, Carnegie Mellon University, United States of America; Umberto Cappellazzo, University of Trento, Italy; Xiang Li, Bhiksha Raj, Carnegie Mellon University, United States of America
 

MLSP-P5.6: Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations

Alejandro Parada-Mayorga, University of Pennsylvania, United States of America; Landon Butler, University of California Berkeley, United States of America; Alejandro Ribeiro, University of Pennsylvania, United States of America
 

MLSP-P5.7: Balanced Learning for Multi-Domain Long-tailed Speaker Recognition

Janghoon Cho, Sunghyun Park, Hyunsin Park, Hyoungwoo Park, Seunghan Yang, Sungrack Yun, Qualcomm, Korea, Republic of
 

MLSP-P5.8: UNROLLED PROXIMAL GRADIENT DESCENT METHOD FOR NON-NEGATIVE LEAST SQUARES PROBLEM

Akash Sen, Indian Institute of Technology, Hyderabad, India; Pradyumna Pradhan, Ramunaidu Randhi, Indian Institute of Petroleum and Energy (IIPE), Visakhapatnam, India; Subrahmanya Sastry Challa, Indian Institute of Technology, Hyderabad, India
 

MLSP-P5.9: IMAGE AUGMENTATION WITH CONTROLLED DIFFUSION FOR WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Wangyu Wu, Xi’an Jiaotong-Liverpool University; The University of Liverpool, China; Tianhong Dai, University of Aberdeen, United Kingdom of Great Britain and Northern Ireland; Xiaowei Huang, The University of Liverpool, United Kingdom of Great Britain and Northern Ireland; Fei Ma, Jimin Xiao, Xi’an Jiaotong-Liverpool University, China
 

MLSP-P5.10: Multi-Attention Enhanced Discriminator for GAN-Based Anomalous Sound Detection

Shuxin Liu, Jiliang Li, Wei Ke, Xi'an Jiaotong University, China; Hao Yin, Tsinghua University, China
 

MLSP-P5.11: REAL-TIME MULTI-HUMAN PARSING ON EMBEDDED DEVICES

Rockson Agyeman, Bernhard Rinner, University of Klagenfurt, Austria
 

MLSP-P5.12: A UNIFIED DNN-BASED SYSTEM FOR INDUSTRIAL PIPELINE SEGMENTATION

Dimitrios Psarras, Christos Papaioannidis, Vasileios Mygdalis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece