MA2.PC.6
A HARD CONVEX-SHAPE CONSTRAINT IN DNNS FOR OBJECT SEGMENTATION
Jimut Pal, Suyash Awate, Indian Institute of Technology (IIT) Bombay., India
Session:
MA2.PC: Computational Image Analysis Poster
Track:
Electronic Imaging
Location:
Poster Area C
Presentation Time:
Mon, 28 Oct, 10:30 - 12:00 Gulf Standard Time (UTC +4)
Session Chair:
Benoit Macq, Université Catholique de Louvain-la-Neuve
Session MA2.PC
MA2.PC.1: CROSS-MODAL ALIGNMENT OF LOCAL AND GLOBAL FEATURES FOR ZERO-SHOT CHINESE CHARACTER RECOGNITION
Hongyi Cai, Anna Zhu, Wuhan University of Technology, China
MA2.PC.2: LRDif: Diffusion Models for Under-Display Camera Emotion Recognition
Zhifeng Wang, Kaihao Zhang, Ramesh Sankaranarayana, Australian National University, Australia
MA2.PC.3: HDPLIFTER: HIERARCHICAL DYNAMICS PERCEPTION FOR 2D-TO-3D HUMAN POSE LIFTING
Ye Lu, Jianjun Gao, Chen Cai, Ruoyu Wang, Duc Tri Phan, Kim-Hui Yap, Nanyang Technological University, Singapore
MA2.PC.4: TCA-NET: TRIPLET CONCATENATED-ATTENTIONAL NETWORK FOR MULTIMODAL ENGAGEMENT ESTIMATION
Hongyuan He, Daming Wang, Australian National University, Australia; Md Rakibul Hasan, Tom Gedeon, Md Zakir Hossain, Curtin University, Australia
MA2.PC.5: ESTIMATING INDOOR SCENE DEPTH MAPS FROM ULTRASONIC ECHOES
Junpei Honma, Tokyo Univercity of Science, Japan; Akisato Kimura, NTT Corporation, Japan; Go Irie, Tokyo Univercity of Science, Japan
MA2.PC.6: A HARD CONVEX-SHAPE CONSTRAINT IN DNNS FOR OBJECT SEGMENTATION
Jimut Pal, Suyash Awate, Indian Institute of Technology (IIT) Bombay., India
MA2.PC.7: SOVASEG-NET: SCALE INVARIANT OVARIAN TUMORS SEGMENTATION FROM ULTRASOUND IMAGES
Huu-Phong Luong, Hoang-Son Bui, Nam-Khanh Nguyen, School of Electrical and Electronic Engineering (SEEE), Hanoi University of Science and Technology (HUST), Viet Nam; Thi-Loan Pham, School of Electrical and Electronic Engineering (SEEE), Hanoi University of Science and Technology (HUST); Hai-Duong University, Viet Nam; Gia-Minh Pham, Sy-Hoang Tran, School of Electrical and Electronic Engineering (SEEE), Hanoi University of Science and Technology (HUST), Viet Nam; Thanh-Hai Tran, Thi-Lan Le, School of Electrical and Electronic Engineering (SEEE), Hanoi University of Science and Technology (HUST); SigM lab, Hanoi University of Science and Technology, Viet Nam
MA2.PC.8: DEEP CONVOLUTIONAL NEURAL NETWORK PREDICTION FOR GLAUCOMA DETECTION USING OCT AND OCT-ANGIOGRAPHY DISC- AND MACULA-CENTERED IMAGES AND THEIR COMBINED POWER
François Gouverneur, Université Catholique de Louvain-la-Neuve, Belgium; Sayeh Pourjavan, Cliniques Universitaires Saint-Luc, Belgium; Benoit Macq, Université Catholique de Louvain-la-Neuve, Belgium
MA2.PC.9: BLEND & PREDICT: DOMAIN-ADAPTABLE FEW-SHOT LEARNING FOR MICROSCOPY IMAGING
Ayush Somani, UiT The Arctic University of Norway, Norway; Anshul Gupta, Indian Institute of Technology (Indian School of Mines) Dhanbad, India; Arif Ahmed Sekh, XIM University, India; Krishna Agarwal, Dilip K. Prasad, UiT The Arctic University of Norway, Norway
MA2.PC.10: Quadruple-Consistency Vision Transformer for Medical Image Segmentation with Limited Number of Sparse Annotations
Yufan Liu, University of California, Berkeley, United States of America; Ziyang Wang, Oxford University, United Kingdom of Great Britain and Northern Ireland; Tianxiang Chen, University of Science and Technology of China, China; Zi Ye, Institute of Intelligent Software, China
Contacts