ICIP 2023

SEMI-SUPERVISED CONTRASTIVE LEARNING OF GLOBAL AND LOCAL REPRESENTATION FOR 3D MEDICAL IMAGE SEGMENTATION

SELF-REINFORCING FOR FEW-SHOT MEDICAL IMAGE SEGMENTATION

Densely Connected Swin-UNet for Multiscale Information Aggregation in Medical Image Segmentation

SEGMENTATION AND CLASSIFICATION-BASED DIAGNOSIS OF TUMORS FROM BREAST ULTRASOUND IMAGES USING MULTIBRANCH UNET

LEARNABLE SNAKE R-CNN FOR INSTANCE-LEVEL BIOMEDICAL IMAGE SEGMENTATION

MUTUAL RELATIVE POSITION LEARNING TRANSFORMER FOR CROSS-VIEW GEO-LOCALIZATION

Cross-Domain Few-Shot Classification via Inter-Source Stylization

OBJECT-CENTRIC VIDEO PREDICTION VIA DECOUPLING OF OBJECT DYNAMICS AND INTERACTIONS

NEV-NCD: NEGATIVE LEARNING, ENTROPY, AND VARIANCE REGULARIZATION BASED NOVEL ACTION CATEGORIES DISCOVERY

VARIATIONAL FEATURE DISENTANGLEMENT FOR FEW-SHOT DOMAIN ADAPTATION

ASYMMETRIC SCALABLE CROSS-MODAL HASHING

KEYPOINTS DICTIONARY LEARNING FOR FAST AND ROBUST ALIGNMENT