Bajic, B.[Buda]
* 2014: Evaluation of Potential Functions for Regularized Image Deblurring, An
* 2016: Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise
* 2019: On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool
* 2020: Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps
Bajic, I.V.[Ivan V.]
* 2002: Concatenated multiple description coding of frame-rate scalable video
* 2003: Domain-based multiple description coding of images and video
* 2003: Integrated end-to-end buffer management and congestion control for scalable video communications
* 2004: Overlay multi-hop fec scheme for video streaming over peer-to-peer networks
* 2005: Joint Source-Network Error Control Coding for Scalable Overlay Video Streaming
* 2005: Overlay multi-hop FEC scheme for video streaming
* 2006: Adaptive MAP Error Concealment for Dispersively Packetized Wavelet-Coded Images
* 2007: Error Concealment for Scalable Motion-Compensated Subband/Wavelet Video Coders
* 2009: Scalable Video Streaming With Fine-Grain Adaptive Forward Error Correction
* 2010: Joint Decoding of Unequally Protected JPEG2000 Bitstreams and Reed-Solomon Codes
* 2010: Region-Based Predictive Decoding of Video
* 2011: Burst-Loss-Resilient Packetization of Video
* 2011: Good-looking green images
* 2011: Joint Approach to Global Motion Estimation and Motion Segmentation From a Coarsely Sampled Motion Vector Field, A
* 2011: Moving Region Segmentation From Compressed Video Using Global Motion Estimation and Markov Random Fields
* 2011: Rate-Distortion Optimized Pixel-Based Motion Vector Concatenation for Reference Picture Selection
* 2011: Testbed and Methodology for Comparing Live Video Frame Rate Control Methods, A
* 2012: Eye-Tracking Database for a Set of Standard Video Sequences
* 2013: 3-D Motion Estimation for Visual Saliency Modeling
* 2013: Video Error Concealment Using a Computation-Efficient Low Saliency Prior
* 2013: Video Object Tracking in the Compressed Domain Using Spatio-Temporal Markov Random Fields
* 2013: Video Watermarking With Empirical PCA-Based Decoding
* 2014: Comparison of visual saliency models for compressed video
* 2014: Saliency-Aware Video Compression
* 2015: Bidirectional Mesh-Based Frame Rate Up-Conversion
* 2015: Constant Modulus Blind Adaptive Beamforming Based on Unscented Kalman Filtering
* 2015: Distributed video coding supporting hierarchical GOP structures with transmitted motion vectors
* 2015: How many bits does it take for a stimulus to be salient?
* 2016: Color Gaussian Jet Features For No-Reference Quality Assessment of Multiply-Distorted Images
* 2016: No-reference image quality assessment using statistical wavelet-packet features
* 2016: Visual Attention Retargeting
* 2017: Exemplar-based framework for 3D point cloud hole filling
* 2017: Saliency-Guided Just Noticeable Distortion Estimation Using the Normalized Laplacian Pyramid
* 2018: Adaptive Nonrigid Inpainting of Three-Dimensional Point Cloud Geometry
* 2018: Deep Feature Compression for Collaborative Object Detection
* 2018: Full-Reference Objective Quality Assessment of Tone-Mapped Images
* 2019: 3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals
* 2019: Multi-Task Learning with Compressible Features for Collaborative Intelligence
* 2019: Perceptual Distinguishability Predictor For JND-Noise-Contaminated Images, A
* 2020: Deep Frame Prediction for Video Coding
* 2020: Light field all-in-focus image fusion based on spatially-guided angular information
* 2020: Point Cloud Denoising via Feature Graph Laplacian Regularization
* 2020: Sampling of 3D Point Cloud Via Gershgorin Disc Alignment
* 2021: Affine Transformation-Based Deep Frame Prediction
* 2021: CALTEC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence
* 2021: Latent-Space Scalability for Multi-Task Collaborative Intelligence
* 2021: Pareto-Optimal Bit Allocation for Collaborative Intelligence
* 2021: Soft Video Multicasting Using Adaptive Compressed Sensing
* 2022: Point Cloud Video Super-Resolution via Partial Point Coupling and Graph Smoothness
* 2022: Scalable Image Coding for Humans and Machines
* 2023: Base Layer Efficiency in Scalable Human-Machine Coding
* 2023: Grad-FEC: Unequal Loss Protection of Deep Features in Collaborative Intelligence
* 2023: Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment
Includes: Bajic, I.V.[Ivan V.] Bajic, I.V.
53 for Bajic, I.V.
Bajic, I.V.B.[Ivan V.B]
* 2017: Online MoCap Data Coding With Bit Allocation, Rate Control, and Motion-Adaptive Post-Processing
Bajic, M.[Milan]
* 2021: Modeling and Simulation of Very High Spatial Resolution UXOs and Landmines in a Hyperspectral Scene for UAV Survey
* 2021: Modeling and Simulation of Very High Spatial Resolution UXOs and Landmines in a Hyperspectral Scene for UAV Survey
* 2023: UAV Thermal Imaging for Unexploded Ordnance Detection by Using Deep Learning
Bajic, S.C.
* 1999: Accuracy of a supervised classification of the artificial objects in thermal hyperspectral images