Session

Title

WQ.PF.1

STEADIFACE: REAL-TIME FACE-CENTRIC STABILIZATION ON MOBILE PHONES

WP.L7.1

ENSEMBLES OF FEEDFORWARD-DESIGNED CONVOLUTIONAL NEURAL NETWORKS

TP.L7.5

CHARACTERISTIC VIEWS EXTRACTION MODAL BASED-ON DEEP REINFORCEMENT LEARNING FOR 3D MODEL RETRIEVAL

WA.PB.4

EGOCENTRIC ACTION ANTICIPATION BY DISENTANGLING ENCODING AND INFERENCE

TP.L1.3

CASCADED RESIDUAL DENSITY NETWORK FOR CROWD COUNTING

MA.PF.1

EVOLUTIONARY CAMERA POSE ESTIMATION OF A MULTI-CAMERA SETUP FOR COMPUTED TOMOGRAPHY

TA.L6.1

COMPRESSED IMAGE QUALITY ASSESSMENT BASED ON SAAK FEATURES

WA.L8.3

CNN-BASED LUMINANCE AND COLOR CORRECTION FOR ILL-EXPOSED IMAGES

MQ.L7.4

AB INITIO TOMOGRAPHY WITH OBJECT HETEROGENEITY AND UNKNOWN VIEWING PARAMETERS

MP.PC.1

ENHANCEMENT OF WEAKLY ILLUMINATED IMAGES BY DEEP FUSION NETWORKS

TP.L8.1

IMAGE DENOISING WITH GRAPH-CONVOLUTIONAL NEURAL NETWORKS

TP.L5.1

AN INFORMATION-THEORETIC APPROACH TO TRANSFERABILITY IN TASK TRANSFER LEARNING

TP.L3.6

PRECISE ADJACENT MARGIN LOSS FOR DEEP FACE RECOGNITION

TA.PG.6

MULTI-VIEW METRIC LEARNING FOR MULTI-LABEL IMAGE CLASSIFICATION

TA.L6.3

PERCEPTUAL QUALITY ASSESSMENT OF UHD-HDR-WCG VIDEOS

TA.L5.1

LEARNING TO RENDER BETTER IMAGE PREVIEWS

MA.L4.1

PRNU PATTERN ALIGNMENT FOR IMAGES AND VIDEOS BASED ON SCENE CONTENT

MP.L7.1

NONCONVEX BAYESIAN RESTORATION OF BLURRED FOREGROUND IMAGES

MP.PB.4

TRAINING ACCURATE BINARY NEURAL NETWORKS FROM SCRATCH

MP.L7.2

HIGH-DIMENSIONAL EMBEDDING DENOISING AUTOENCODING PRIOR FOR COLOR IMAGE RESTORATION

WQ.PB.6

EXTENDING LBP AND CONVOLUTION-LIKE OPERATIONS ON THE MESH

WA.L1.4

ADAPTIVE INFERENCE USING HIERARCHICAL CONVOLUTIONAL BAG-OF-FEATURES FOR LOW-POWER EMBEDDED PLATFORMS

MA.PA.4

CONTINUOUS SIGN LANGUAGE RECOGNITION VIA REINFORCEMENT LEARNING

WQ.L6.1

5D VIDEO STABILIZATION THROUGH SENSOR VISION FUSION

TP.L4.4

ROBUSTIFICATION OF DEEP NET CLASSIFIERS BY KEY BASED DIVERSIFIED AGGREGATION WITH PRE-FILTERING

MQ.PD.4

TEXTURE-AWARE SUPERPIXEL SEGMENTATION

TP.L3.3

PERSON RE-IDENTIFICATION BY RANKING ENSEMBLE REPRESENTATIONS

TA.L9.5

BLAST-NET: SEMANTIC SEGMENTATION OF HUMAN BLASTOCYST COMPONENTS VIA CASCADED ATROUS PYRAMID AND DENSE PROGRESSIVE UPSAMPLING

TA.PH.2

UPDCNN: A NEW SCHEME FOR IMAGE UPSAMPLING AND DEBLURRING USING A DEEP CONVOLUTIONAL NEURAL NETWORK

TA.PG.3

RECOGNIZING CHINESE TEXTS WITH 3D CONVOLUTIONAL NEURAL NETWORK

TP.L2.3

PDH : PROBABILISTIC DEEP HASHING BASED ON MAP ESTIMATION OF HAMMING DISTANCE

MP.L4.3

PRIVACY-PRESERVING DEEP NEURAL NETWORKS WITH PIXEL-BASED IMAGE ENCRYPTION CONSIDERING DATA AUGMENTATION IN THE ENCRYPTED DOMAIN

WP.L6.1

DEEP LEARNING FOR INTER-OBSERVER CONGRUENCY PREDICTION

WP.L5.1

SPARSE TO DENSE SCENE FLOW ESTIMATION FROM LIGHT FIELDS

WP.L2.2

ZERO-SHOT LEARNING USING STACKED AUTOENCODER WITH MANIFOLD REGULARIZATIONS

WA.L5.1

DECODER-SIDE INTRA MODE DERIVATION WITH TEXTURE ANALYSIS IN VVC TEST MODEL

MQ.PD.7

MULTI-TASK LEARNING FOR SEGMENTATION OF BUILDING FOOTPRINTS WITH DEEP NEURAL NETWORKS

MA.L6.2

UNCONSTRAINED FLOOD EVENT DETECTION USING ADVERSARIAL DATA AUGMENTATION

MP.PA.2

EFFICIENT CODEBOOK AND FACTORIZATION FOR SECOND ORDER REPRESENTATION LEARNING

WP.L5.2

FAST: FLOW-ASSISTED SHEARLET TRANSFORM FOR DENSELY-SAMPLED LIGHT FIELD RECONSTRUCTION

TA.L8.5

DVDNET: A FAST NETWORK FOR DEEP VIDEO DENOISING

MQ.PG.2

LCUTS: LINEAR CLUSTERING OF BACTERIA USING RECURSIVE GRAPH CUTS

WP.L8.1

OPTIMIZING THE BIT ALLOCATION FOR COMPRESSION OF WEIGHTS AND ACTIVATIONS OF DEEP NEURAL NETWORKS

MA.L9.4

HEPATIC LESION SEGMENTATION BY COMBINING PLAIN AND CONTRAST-ENHANCED CT IMAGES WITH MODALITY WEIGHTED U-NET

MA.L4.2

A PRNU-BASED METHOD TO EXPOSE VIDEO DEVICE COMPOSITIONS IN OPEN-SET SETUPS

WA.L5.4

OCCUPANCY-MAP-BASED RATE DISTORTION OPTIMIZATION FOR VIDEO-BASED POINT CLOUD COMPRESSION

WA.L5.2

INTERWEAVED PREDICTION FOR AFFINE MOTION COMPENSATION

WA.L7.1

DETECTING GENERATED IMAGE BASED ON A COUPLED NETWORK WITH TWO-STEP PAIRWISE LEARNING

TP.L2.4

DEEP COVARIANCE ESTIMATION HASHING FOR IMAGE RETRIEVAL

MQ.PF.3

LIP IMAGE SEGMENTATION IN MOBILE DEVICES BASED ON ALTERNATIVE KNOWLEDGE DISTILLATION

TQ.PE.4

HIGH JOINT SPECTRAL-SPATIAL RESOLUTION IMAGING VIA NANOSTRUCTURED RANDOM BROADBAND FILTERING

TQ.PG.5

WHAT'S THERE IN THE DARK

TP.L9.3

DEEP SEMANTIC SEGMENTATION USING NIR AS EXTRA PHYSICAL INFORMATION

MQ.L5.5

AN INTRA SUBPARTITION CODING MODE FOR VVC

WA.L7.2

OBJECT BOUNDING TRANSFORMED NETWORK FOR END-TO-END SEMANTIC SEGMENTATION

MP.PC.3

LEARNED QUALITY ENHANCEMENT VIA MULTI-FRAME PRIORS FOR HEVC COMPLIANT LOW-DELAY APPLICATIONS

MP.PG.1

HIGH THROUGHPUT BLOCK CODING IN THE HTJ2K COMPRESSION STANDARD

MA.PC.6

ESTIMATING THE SPATIAL RESOLUTION OF OVERHEAD IMAGERY USING CONVOLUTIONAL NEURAL NETWORKS

WA.L2.1

LIGHTWEIGHT DEEP NEURAL NETWORK FOR REAL-TIME VISUAL TRACKING WITH MUTUAL LEARNING

TP.PH.6

IMPROVING DOCUMENT BINARIZATION VIA ADVERSARIAL NOISE-TEXTURE AUGMENTATION

WQ.PD.2

COGNI-NET: COGNITIVE FEATURE LEARNING THROUGH DEEP VISUAL PERCEPTION

TQ.PB.4

END-TO-END CONVOLUTIONAL NETWORK FOR VIDEO RAIN STREAKS REMOVAL

WQ.L3.6

DISTRIBUTION PADDING IN CONVOLUTIONAL NEURAL NETWORKS

TA.L8.6

COLOR IMAGE DENOISING USING QUATERNION ADAPTIVE NON-LOCAL COUPLED MEANS

WQ.PC.5

HIGH-RESOLUTION CLASS ACTIVATION MAPPING

WQ.L8.3

MULTI-LEVEL TEXTURE ENCODING AND REPRESENTATION (MULTER) BASED ON DEEP NEURAL NETWORKS

MP.PD.5

IDENTIFICATION OF BUILDINGS IN STREET IMAGES USING MAP INFORMATION

TA.PG.2

UNDERWATER IMAGE SYNTHESIS FROM RGB-D IMAGES AND ITS APPLICATION TO DEEP UNDERWATER IMAGE RESTORATION

MA.L8.3

CLASSIFICATION OF NON-TUMOROUS FACIAL PIGMENTATION DISORDERS USING IMPROVED SMOTE AND TRANSFER LEARNING

MQ.L5.2

LOW-COMPLEXITY TRANSFORM ADJUSTMENTS FOR VIDEO CODING

WA.L1.3

IMPROVING DOMAIN ADAPTATION BY SOURCE SELECTION

WA.L6.3

DEEP OBJECTIVE ASSESSMENT MODEL BASED ON SPATIO-TEMPORAL PERCEPTION OF 360-DEGREE VIDEO FOR VR SICKNESS PREDICTION

MP.PA.6

VISUAL-TEXTUAL SENTIMENT ANALYSIS IN PRODUCT REVIEWS

WA.L7.4

SOCIAL RELATION RECOGNITION IN EGOCENTRIC PHOTOSTREAMS

MP.PC.4

HUE-PRESERVING COLOR IMAGE ENHANCEMENT ON A VECTOR SPACE OF CONVEX COMBINATION COEFFICIENTS

MP.PG.3

AN AFFINE-LINEAR INTRA PREDICTION WITH COMPLEXITY CONSTRAINTS

WP.L5.4

LIGHT FIELD COMPRESSION USING FOURIER DISPARITY LAYERS

MP.L9.2

TOWARD ROBUST FULLY 3D FILOPODIUM SEGMENTATION AND TRACKING IN TIME-LAPSE FLUORESCENCE MICROSCOPY

TP.L5.5

DESIGNING RECURRENT NEURAL NETWORKS BY UNFOLDING AN L1-L1 MINIMIZATION ALGORITHM

TP.L5.3

MULTI-RESOLUTION SPECTRAL GRAPH MATCHING

WA.PH.6

COMPRESSION ARTIFACT REMOVAL WITH STACKED MULTI-CONTEXT CHANNEL-WISE ATTENTION NETWORK

MP.L6.1

LONG SHORT TERM MEMORY NETWORKS FOR LIGHT FIELD VIEW SYNTHESIS

TP.PF.4

DEEP SELF-PACED LEARNING FOR SEMI-SUPERVISED PERSON RE-IDENTIFICATION USING MULTI-VIEW SELF-PACED CLUSTERING

TP.L5.6

EXACT INCREMENTAL AND DECREMENTAL LEARNING FOR LS-SVM

MQ.L5.1

IMPROVED QUANTIZATION AND TRANSFORM COEFFICIENT CODING FOR THE EMERGING VERSATILE VIDEO CODING (VVC) STANDARD

WQ.L5.4

TOWARDS MODELLING OF VISUAL SALIENCY IN POINT CLOUDS FOR IMMERSIVE APPLICATIONS

MA.L3.1

SHIFT R-CNN: DEEP MONOCULAR 3D OBJECT DETECTION WITH CLOSED-FORM GEOMETRIC CONSTRAINTS

WQ.L7.5

3D POINT CLOUD SUPER-RESOLUTION VIA GRAPH TOTAL VARIATION ON SURFACE NORMALS

TP.PG.8

SCALABLE FACIAL IMAGE COMPRESSION WITH DEEP FEATURE RECONSTRUCTION

TP.PF.8

DISTORTED REPRESENTATION SPACE CHARACTERIZATION THROUGH BACKPROPAGATED GRADIENTS

WP.L7.2

IMPROVING ROBUSTNESS TO ADVERSARIAL EXAMPLES BY ENCOURAGING DISCRIMINATIVE FEATURES

WP.L9.1

DEEP KINSHIP VERIFICATION VIA APPEARANCE-SHAPE JOINT PREDICTION AND ADAPTATION-BASED APPROACH

TQ.PB.2

VARIATIONAL REGULARIZED TRANSMISSION REFINEMENT FOR IMAGE DEHAZING

MP.L9.6

JOINT VESSEL SEGMENTATION AND DEFORMABLE REGISTRATION ON MULTI-MODAL RETINAL IMAGES BASED ON STYLE TRANSFER

TP.L7.6

3D SHAPE RETRIEVAL THROUGH MULTILAYER RBF NEURAL NETWORK

TA.L5.2

MULTI-TASK LEARNING WITH COMPRESSIBLE FEATURES FOR COLLABORATIVE INTELLIGENCE

WQ.PD.1

ADAPTIVE FUSION OF RGB/NIR SIGNALS BASED ON FACE/BACKGROUND CROSS-SPECTRAL ANALYSIS FOR HEART RATE ESTIMATION

MA.L7.3

200 FPS CONSTANT-TIME BILATERAL FILTER USING SVD AND TILING STRATEGY

MP.L2.1

DEEP REINFORCEMENT LEARNING FOR VIDEO PREDICTION

WP.L1.1

HALLUCINATING A CLEANLY LABELED AUGMENTED DATASET FROM A NOISY LABELED DATASET USING GAN