ICIP 2023

Dynamic Unilateral Dual Learning for Text to Image Synthesis

STRUCTURE-AWARE GENERATIVE ADVERSARIAL NETWORK FOR TEXT-TO-IMAGE GENERATION

EXPLORING THE CONNECTION BETWEEN NEURON COVERAGE AND ADVERSARIAL ROBUSTNESS IN DNN CLASSIFIERS

ADVERSARIAL EXAMPLE DETECTION BAYESIAN GAME

DATA GENERATION WITH STRUCTURE ENFORCING ADVERSARIAL LEARNING

A PENALIZED MODIFIED HUBER REGULARIZATION TO IMPROVE ADVERSARIAL ROBUSTNESS

Purifying Adversarial Images using Adversarial Autoencoders with Conditional Normalizing Flows

HALF OF AN IMAGE IS ENOUGH FOR QUALITY ASSESSMENT

MTJND: MULTI-TASK DEEP LEARNING FRAMEWORK FOR IMPROVED JND PREDICTION

An Inter-observer consistent deep adversarial training for visual scanpath prediction

PRE-TRAINING WITH FRACTAL IMAGES FACILITATES LEARNED IMAGE QUALITY ESTIMATION

A Multiscale Approach to Deep Blind Image Quality Assessment