2023
C. Shiranthika, P. Saeedi, and I. V. Bajić, Decentralized learning in healthcare: A review of emerging techniques, IEEE Access, vol. 11, pp. 54188-54209 Jun. 2023. [IEEEXplore] [] H. Fu, F. Liang, J. Lin, B. Li, M. Akbari, J. Liang, G. Zhang, D. Liu, C. Tu, and J. Han, Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules, IEEE Trans. Image Processing, vol. 32, pp. 2063-2076 Apr. 2023. [IEEEXplore] [arXiv] C. Dinesh, G. Cheung, and I. V. Bajić, Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 45, no. 1, pp. 868-886 Jan. 2023. [IEEEXplore] [arXiv] H. Fu, F. Liang, J. Liang, B. Li, G. Zhang and J. Han, Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Scaling, and Post-Quantization Filtering, IEEE Trans. Circuits and Systems for Video Technology, Early Access . 2023. [IEEEXplore] [] A. de Andrade, A. Harell, Y. Foroutan, and I. V. Bajić, Conditional and residual methods in scalable coding for humans and machines, Proc. IEEE ICME Workshop on Coding for Machines, Jul. 2023. [arXiv] [GitHub] A. Harell, Y. Foroutan, and I. V. Bajić, VVC+M: Plug and play scalable image coding for humans and machines, Proc. IEEE ICME Workshop on Coding for Machines, Jul. 2023. [arXiv] [] H. Hadizadeh and I. V. Bajić, LCCM-VC: Learned conditional coding modes for video compression, Proc. IEEE ICASSP Workshop on Humans, Machines and Multimedia - Quality of Experience and Beyond, Jun. 2023. [arXiv] [GitHub] Z. Hafezi Kafshgari, I. V. Bajić, and P. Saeedi, Smart split-federated learning over noisy channels for embryo image segmentation, Proc. IEEE ICASSP, Jun. 2023. [IEEEXplore] [] B. Li, J. Liang, H. Fu, and J. Han, ROI-Based Deep Image Compression with Swin Transformers, Proc. IEEE ICASSP, Jun. 2023. [IEEEXplore] [] R. Zamanshoar Heris and I. V. Bajić, Multi-task learning for screen content image coding, Proc. IEEE ISCAS, May. 2023. [arXiv] [] Z. Hafezi Kafshgari, C. Shiranthika, P. Saeedi, and I. V. Bajić, Quality-adaptive split-federated learning for segmenting medical images with inaccurate annotations, Proc. IEEE ISBI, Apr. 2023. [arXiv] [] 2022
N. Shlezinger and I. V. Bajić, Collaborative inference for AI-Empowered IoT devices, IEEE Interner of Things Magazine, vol. 5, no. 4, pp. 92-98 Dec. 2022. [IEEEXplore] [] Y. Yang, D. Bu, Z. Feng, and J. Liang, AS-Net: An attention-aware downsampling network for point clouds oriented to classification tasks, J. Visual Communication and Image Representation, vol. 89 Nov. 2022. [DOI] [] S. R. Alvar, M. Ulhaq, H. Choi, and I. V. Bajić, Joint image compression and denoising via latent-space scalability, Front. Signal Process., Sec. Image Processing Sep. 2022. [DOI] [] B. Li, L. Ye, J. Liang, Y. Wang, J. Han, Region-of-Interest and Channel Attention-based Joint Optimization of Image Compression and Computer Vision, Neurocomputing, vol. 500, pp. 13-25, Aug.. 2022. [DOI] [] B. Li, J. Liang, and J. Han, Variable-Rate Deep Image Compression with Vision Transformers, IEEE Access, vol. 10, pp. 50323-50334 May. 2022. [IEEEXplore] [] H. Choi and I. V. Bajić, Scalable image coding for humans and machines, IEEE Trans. Image Processing, vol. 31, pp. 2739-2754, Mar. 2022. [IEEEXplore] [] C. Dinesh, G. Cheung, and I. V. Bajić, Point Cloud Video Super-Resolution via Partial Point Coupling and Graph Smoothness, IEEE Trans. Image Processing, vol. 31, pp. 4117-4132, Jun. 2022. [IEEEXplore] [] T. Tanaka, H. Choi, and I. V. Bajić, Updating a dataset of labelled objects on raw video sequences with unique object IDs, Data in Brief, vol. 41, article no. 107892, Apr. 2022. [DOI] [] W. Dong, T. Zhang, J. Qu, S. Xiao, J. Liang, and Y. Li, Laplacian Pyramid Dense Network for Hyperspectral Pansharpening, IEEE Trans. on Geoscience and Remote Sensing, vol. 60, pp. 1-13, Jan. 2022. [IEEEXplore] [] H. Fu, F. Liang, J. Liang, B. Li, G. Zhang, J. Han, Learned Image Compression with Inception Residual Blocks and Multi-Scale Attention Module, Proc. PCS'22, Dec. 2022. [IEEEXplore] [] B. Azizian and I. V. Bajić, Privacy-preserving feature coding for machines, Proc. PCS'22, Dec. 2022. [arXiv] [] A. Harell, A. de Andrade, and I. V. Bajić, Rate-distortion in image coding for machines, Proc. PCS'22, Dec. 2022. [arXiv] [] H. Choi and I. V. Bajić, Scalable video coding for humans and machines, Proc. IEEE MMSP'22, Sep. 2022. [arXiv] [] S. R. Alvar, K. Uyanik, and I. V. Bajić, License plate privacy in collaborative visual analysis of traffic scenes, Proc. IEEE MIPR'22, pp. 300-305 Aug. 2022. [IEEEXplore] [arXiv] T. Tanaka, A. Harell, and I. V. Bajić, Does video compression impact tracking accuracy?, Proc. IEEE ISCAS'22, May. 2022. [arXiv] [] C. Dinesh, S. Bagheri, G. Cheung, and I. V. Bajić, Linear-time sampling on signed graphs via Gershgorin disc perfect alignment, Proc. IEEE ICASSP'22, May. 2022. [IEEEXplore] [] 2021
S. Li, J. Liu, L. Bariah, S. Muhaidat, A. Wang and J. Liang, NOMA-Based User Cooperation With Incremental Hybrid Forwarding Protocols, IEEE Open Journal of the Communications Society, vol. 2, pp. 2536-2546 . 2021. [IEEEXplore] [] X. Fan, J. Lei, J. Liang, Y. Fang, X. Cao, and N. Ling, Unsupervised Stereoscopic Image Retargeting via View Synthesis and Stereo Cycle Consistency Losses, Neurocomputing, vol. 447, pp. 161-171, Aug. 2021. [ScienceDirect] [] H. Fu, F. Liang, B. Lei, Q. Zhang, J. Liang, C. Tu, G. Zhang, An Extended Context-Based Entropy Hybrid Modeling for Image Compression, Signal Processing: Image Communication, vol. 95, article no. 116244, Jul. 2021. [ScienceDirect] [] A. Harell, R. Jones, S. Makonin, and I. V. Bajić, TraceGAN: Synthesizing appliance power signatures using generative adversarial networks, IEEE. Trans. Smart Grid, vol. 12, no. 5, pp. 4553-4563, Sep. 2021. [IEEEXplore] [arXiv] R. A. Cohen, H. Choi, and I. V. Bajić, Lightweight compression of intermediate neural network features for collaborative intelligence, IEEE Open J. Circuits Syst., vol. 2, pp. 350-362, May. 2021. [IEEEXplore] [arXiv] X. Shang, G. Wang, J. Liang, X. Zhao, H. Han, and Y. Zuo, Color-Sensitivity-based Rate-Distortion Optimization for H.265/HEVC, IEEE Trans. on Circuits and Systems for Video Technology, accepted. Feb. 2021. [IEEEXplore] [] H. Choi and I. V. Bajić, Affine transformation-based deep frame prediction, IEEE Trans. Image Processing, vol. 30, pp. 3321-3334, Feb. 2021. [IEEEXplore] [arXiv] S. R. Alvar and I. V. Bajić, Pareto-optimal bit allocation for collaborative intelligence, IEEE Trans. Image Processing, vol. 30, pp. 3348-3361, Feb. 2021. [IEEEXplore] [arXiv] H. Choi, E. Hosseini, S. R. Alvar, R. A. Cohen, and I. V. Bajić, A dataset of labelled objects on raw video sequences, Data in Brief, vol. 34, article no. 106701, Feb. 2021. [DOI] [data] X. Fan, J. Lei, J. Liang, Y. Fang, and Q. Huang, Stereoscopic Image Retargeting Based on Deep Convolutional Neural Network, IEEE Trans. Circuits and Systems for Video Technology, accepted. Jan. 2021. [IEEEXplore] [] Z. A. Bhotto, R. Jones, S. Makonin, and I. V. Bajić, Short-term demand prediction using an ensemble of linearly-constrained estimators, IEEE Trans. Power Systems, vol. 36, no. 4, pp. 3163-3175, Jul. 2021. [IEEEXplore] [] H. Hadizadeh and I. V. Bajić, Soft video multicasting using adaptive compressed sensing, IEEE Trans. Multimedia, vol. 23, pp. 12-25 Jan. 2021. [arXiv] [] T. Woinoski and I. V. Bajić, Swimmer stroke rate estimation from overhead race video, Proc. IEEE ICME AI-Sports Workshop, Jul. 2021. [arXiv] [] M. Ulhaq and I. V. Bajić, Latent space motion analysis for collaborative intelligence, Proc. IEEE ICASSP'21, Jun. 2021. [arXiv] [] I. V. Bajić, W. Lin, and Y. Tian, Collaborative intelligence: Challenges and opportunities, Proc. IEEE ICASSP'21, Jun. 2021. [arXiv] [] S. Lee and I. V. Bajić, Information flow through U-Nets, Proc. IEEE ISBI'21, Apr. 2021. [arXiv] [] J. Lin, D. Liu, J. Liang, H. Li, and F. Wu, Modulated Variable-Rate Deep Video Compression, Data Compression Conference (DCC), Mar. 2021. [] [] M. Akbari, J. Liang, J. Han, and C. Tu, Learned Bi-Resolution Image Coding using Generalized Octave Convolutions, AAAI Conference on Artificial Intelligence, Feb. 2021. [] [] 2020
M. Akbari, J. Liang, J. Han, and C. Tu, Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks, IEEE Trans. Multimedia, accepted. Dec. 2020. [IEEEXplore] [] T. Tang, A. Wang, S. Muhaidat, S. Li, M. Li and J. Liang, MDC-NOMA: Multiple Description Coding-Based Nonorthogonal Multiple Access for Image Transmission, IEEE Sensors Journal, accepted. Jul. 2020. [IEEEXplore] [] W. Dong, J. Liang, and S. Xiao, Saliency Analysis and Gaussian Mixture Model-Based Detail Extraction Algorithm for Hyperspectral Pansharpening, IEEE Trans. Geoscience and Remote Sensing, vol. 58, no. 8, pp. 5462-5476, Aug. 2020. [IEEEXplore] [] L. Bragilevsky and I. V. Bajić, Tensor completion methods for collaborative intelligence, IEEE Access, vol. 8, no. 1, pp. 41162-41174, Dec. 2020. [IEEEXplore] [] C. Dinesh, G. Cheung, and I. V. Bajić, 3D point cloud denoising via feature graph Laplacian regularization, IEEE Trans. Image Processing, vol. 29, pp. 4143-4158, Dec. 2020. [IEEEXplore] [] H. Choi and I. V. Bajić, Deep frame prediction for video coding, IEEE Trans. Circuits and Systems for Video Technology, vol. 30, no. 7, pp. 1843-1855 Jul. 2020. [arXiv] [] M. Li, S. Muhaidat, B. Selim, P. Sofotasios, M. Dianati, P. Yoo, J. Liang, and A. Wang, Effects of Residual Hardware Impairments on Secure NOMA-Based Cooperative Systems, IEEE Access, vol. 8, pp. 2524-2536, . 2020. [IEEEXplore] [] W. Dong, S. Xiao, J. Liang, and J. Qu, Fusion of Hyperspectral and Panchromatic Images Using Structure Tensor and Matting Model, Neurocomputing, accepted. Feb. 2020. [PDF] [] M. Akbari, J. Liang, J. Han and C. Tu, Learned Variable-Rate Image Compression With Residual Divisive Normalization, Proc. IEEE ICME'20, Jul. 2020. [arXiv] [] R. A. Cohen, H. Choi, and I. V. Bajić, Lightweight compression of neural network feature tensors for collaborative intelligence, Proc. IEEE ICME'20, Jul. 2020. [IEEEXplore] [] H. Choi, R. A. Cohen, and I. V. Bajić, Back-and-forth prediction for deep tensor compression, Proc. IEEE ICASSP'20, pp. 4467-4471, May. 2020. [arXiv] [] C. Dinesh, G. Cheung, and I. V. Bajić, Super-resolution of 3D color point clouds via fast graph total variation, Proc. IEEE ICASSP'20, pp. 1983-1987, May. 2020. [] [] S. R. Alvar and I. V. Bajić, Bit allocation for multi-task collaborative intelligence, Proc. IEEE ICASSP'20, pp. 4342-4346, May. 2020. [arXiv] [] B. Li, M. Akbari, J. Liang, and Y. Wang, Deep Learning-based Image Compression with Trellis Coded Quantization, Proc. IEEE DCC'20, pp. 13-22, Mar. 2020. [arXiv] [] T. Woinoski, A. Harell, and I. V. Bajic, Towards automated swimming analytics using deep neural networks, AAAI Workshop on AI in Team Sports, New York, NY, Feb. 2020. [arXiv] [] A. Harell and I. V. Bajic, The data gap in sports analytics and how to close it, AAAI Workshop on AI in Team Sports, New York, NY, Feb. 2020. [PDF] [] 2019
J. Guo, X. Gong, J. Liang, W. Wang, and X. Que, EAAT: Environment-Aware Adaptive Transmission for Split-Screen Video Streaming, IEEE Trans. Circuits and Systems for Video Technology, accepted. Nov. 2019. [IEEEXplore] [] J. Fu, I. V. Bajić, and R. G. Vaughan, Datasets for face and object detection in fisheye images, Data in Brief, vol. 27, article no. 104752 Dec. 2019. [DOI] [data] J. Zhang, A. Wang, J. Liang, H. Wang, S. Li, and X. Zhang, Distortion Estimation-based Adaptive Power Allocation for Hybrid Digital-Analog Video Transmission, IEEE Trans. Circuits and Systems for Video Technology, vol. 29, no. 6, pp. 1806-1818 Jun. 2019. [IEEEXplore] [] X. Shang, J. Liang, G. Wang, H. Zhao, C. Wu, and C. Lin, Color-Sensitivity-based Combined PSNR for Objective Video Quality Assessment, IEEE Trans. Circuits and Systems for Video Technology, vol. 29, no. 5, pp. 1239-1250 May. 2019. [IEEEXplore] [] J. Jin, J. Liang, Y. Zhao, C. Lin, C. Yao, and A. Wang, A Depth-Bin-Based Graphical Model for Fast View Synthesis Distortion Estimation, IEEE Trans. Circuits and Systems for Video Technology, vol. 29, no. 6, pp. 1754-1766 Jun. 2019. [IEEEXplore] [] J. Jin, J. Liang, Y. Zhao, C. Lin, C. Yao, and L. Meng, Pixel-Level View Synthesis Distortion Estimation for 3-D Video Coding, IEEE Trans. Circuits and Systems for Video Technology, accepted. May. 2019. [] [] M. Gaur, S. Makonin, I. V. Bajić, and A. Majumdar, Performance evaluation of techniques for identifying abnormal energy consumption in buildings, IEEE Access, vol. 7, pp. 62721-62733. May. 2019. [IEEEXplore] [] M. Li, O. Alhussein, P. Sofotasios, S. Muhaidat, P. Yoo, J. Liang, and A. Wang, Censor-based cooperative multi-antenna spectrum sensing with imperfect reporting channels, IEEE Trans. Sustainable Computing, accepted. Jan. 2019. [IEEEXplore] [] C. Dinesh, S. Makonin, and I. V. Bajić, Residential power forecasting using load identification and graph spectral clustering, IEEE Trans. Circuits and Systems II: Express Briefs, vol. 66, no. 11, pp. 1900-1904. Nov. 2019. [ResearchGate] [] H. Hadizadeh, A. R. Heravi, I. V. Bajić, and P. Karami, A perceptual distinguishability predictor for JND-noise-contaminated images, IEEE Trans. Image Processing, vol. 28, no. 5, pp. 2242-2256. May. 2019. [IEEEXplore] [] X. Shang, G. Wang, X. Zhao, Y. Zuo, J. Liang, and I. V. Bajić, Weighting Quantization Matrices for HEVC/H.265-coded RGB Videos, IEEE Access, accepted. Feb. 2019. [IEEEXplore] [] M. Ulhaq and I. V. Bajic, Shared mobile-cloud inference for collaborative intelligence, NeurIPS demo, Dec.. 2019. [arXiv] [] E. Ideli, B. Sharpe, I. V. Bajić, and R. G. Vaughan, Visually assisted time-domain speech enhancement, Proc. IEEE GlobalSIP'19, Nov.. 2019. [] [] C. Dinesh, I. V. Bajić, and G. Cheung, 3D point cloud color denoising using convex graph-signal smoothness priors, Proc. IEEE MMSP'19, Sep. 2019. [IEEEXplore] [] B. Li, J. Liang, and Y. Wang, Compression Artifact Removal with Stacked Multi-Context Channel-wise Attention Network, Proc. IEEE ICIP'19, pp. 3601-3605, Taipei, Taiwan, Sep. 2019. [] [] S. R. Alvar and I. V. Bajić, Multi-task learning with compressible features for collaborative intelligence, Proc. IEEE ICIP'19, pp. 1705-1709, Taipei, Taiwan, Sep. 2019. [arXiv] [code] C. Dinesh, I. V. Bajić, and G. Cheung, 3D point cloud super-resolution via graph total variation on surface normals, Proc. IEEE ICIP'19, pp. 4390-4394, Taipei, Taiwan, Sep. 2019. [IEEEXplore] [] M. Akbari, J. Liang, and J. Han, DSSLIC: Deep Semantic Segmentation-based Layered Image Compression, Proc. IEEE ICASSP'19, pp. 2042 - 2046, Brighton, UK. May. 2019. [arXiv] [code] A. Harell, S. Makonin, and I. V. Bajić, WaveNILM: A causal neural network for power disaggregation from the complex power signal, Proc. IEEE ICASSP'19, pp. 8335 - 8339, Brighton, UK. May. 2019. [arXiv] [] J. Fu, S. R. Alvar, I. V. Bajić, and R. G. Vaughan, FDDB-360: Face detection in 360-degree fisheye images, Proc. IEEE MIPR'19, pp. 15 - 19, San Jose, CA. Mar. 2019. [arXiv] [data] 2018
C. Dinesh, I. V. Bajić, and G. Cheung, Adaptive nonrigid inpainting of 3D point cloud geometry, IEEE Signal Processing Letters, vol. 25, no. 6, pp. 878-882. Jun. 2018. [ResearchGate] [code] J. Guo, X. Gong, J. Liang, W. Wang, and X. Que, An Optimized Hybrid Unicast/Multicast Adaptive Video Streaming Scheme over MBMS-Enabled Wireless Networks, IEEE Trans. Broadcasting, vol. 64, no. 4, pp. 791-802. Dec. 2018. [IEEEXplore] [] H. Hadizadeh and I. V. Bajić, Full-reference objective quality assessment of tone-mapped images, IEEE Trans. Multimedia, vol. 20, no. 2, pp. 392-404. Feb. 2018. [ResearchGate] [] M. Akbari, J. Liang, and H. Cheng, A Real-time System for Online Learning-based Visual Transcription of Piano Music, Multimedia Tools and Applications, pp. 1-23. Feb. 2018. [Springer] [] H. Choi and I. V. Bajić, Deep feature compression for collaborative object detection, Proc. IEEE ICIP'18, Athens, Greece. Oct. 2018. [ResearchGate] [] Y. Guo, A. Wang, H. Wang, S. Li, and J. Liang, Adaptive STBC Scheme for Soft Video Transmission with Multiple Antennas, Pacific-Rim Conference on Multimedia (PCM), Hefei, Anhui, China. Sep. 2018. [] [] S. R. Alvar and I. V. Bajić, MV-YOLO: Motion vector-aided tracking by semantic object detection, Proc. IEEE MMSP'18, Vancouver, Canada. Aug. 2018. [ResearchGate] [] H. Choi and I. V. Bajić, Near-lossless deep feature compression for collaborative intelligence, Proc. IEEE MMSP'18, Vancouver, Canada. Aug. 2018. [ResearchGate] [] L. Ye, B. Li, N. Mohammed, Y. Wang, and J. Liang, “Privacy-Preserving Age Estimation for Content Rating, Proc. IEEE MMSP'18, Vancouver, Canada. Aug. 2018. [] [] C. Dinesh, G. Cheung, I. V. Bajić, and C. Yang, Fast 3D point cloud denoising via bipartite graph approximation and total variation, Proc. IEEE MMSP'18, Vancouver, Canada. Aug. 2018. [ResearchGate] [] S. R. Alvar, H. Choi, and I. V. Bajić, Can you find a face in a HEVC bitstream?, Proc. IEEE ICASSP'18, pp. 1288-1292, Calgary, AB. Apr. 2018. [ResearchGate] [] M. Akbari and J. Liang, Semi-recurrent CNN-based VAE-GAN for sequential data generation, Proc. IEEE ICASSP'18, Calgary, AB, Canada. Apr. 2018. [] [] J. Zhang, A. Wang, and J. Liang, Recursive distortion estimation for hybrid digital-analog video transmission, IEEE ICASSP'18, Calgary, AB, Canada. Apr. 2018. [] [] H. Choi and I. V. Bajić, High efficiency compression for object detection, Proc. IEEE ICASSP'18, pp. 1729-1796, Calgary, AB. Apr. 2018. [ResearchGate] [] S. R. Alvar, H. Choi, and I. V. Bajić, Can you tell a face from a HEVC bitstream?, Proc. IEEE MIPR'18, Miami, FL. Apr. 2018. [ResearchGate] [] 2017
S. H. Khatoonabadi, I. V. Bajić, and Y. Shan, Compressed-domain visual saliency models: A comparative study, Multimedia Tools and Applications, vol. 76, no. 24, pp. 26297–26328. Dec. 2017. [ResearchGate] [Code] A. Hajshirmohammadi, Incorporating Experiential Learning in Engineering Courses, IEEE Communications Magazine, Vol. 55, No. 11, pp. 166-169. Nov. 2017. [] [] G. Javadi, A. Hajshirmohammadi, and J. Liang, Power and Sub-channel Optimization of JPEG 2000 Image Transmission over OFDM-Based Cognitive Radio Networks, Signal Processing: Image Communication, vol. 58, pp. 157-164. Oct. 2017. [ScienceDirect] [] M. Liu, Y. Zhao, J. Liang, C. Lin, H. Bai, C. Yao, Depth map up-sampling with fractal dimension and texture-depth boundary consistencies, Neurocomputing, Vol. 257, pp. 185–192. Sep. 2017. [ScienceDirect] [] M. Zhao, X. Gong, J. Liang, W. Wang, X. Que, Y. Guo, and S. Cheng, QoE-driven optimization for Cloud-assisted DASH-based Scalable Interactive Multiview Video Streaming over Wireless Network, Signal Processing: Image Communication, Vol. 57, pp. 157-172. Sep. 2017. [] [] H. Hadizadeh, A. Rajati, and I. V. Bajić, Saliency-guided just noticeable distortion estimation using the normalized Laplacian pyramid, IEEE Signal Processing Letters, vol. 24, no. 8, pp. 1218-1222. Aug. 2017. [ResearchGate] [] C. Bi and J. Liang, Joint Source-Channel Coding of JPEG 2000 Image Transmission Over Two-Way Multi-Relay Networks, IEEE Trans. Image Processing, Vol. 26, No. 7, pp. 3594-3608. Jul. 2017. [IEEEXplore] [] C.-H. Kwak and I. V. Bajić, Online MoCap data coding with bit allocation, rate control, and motion-adaptive post-processing, IEEE Trans. Multimedia, vol. 19, no. 6, pp. 1127-1141. Jun. 2017. [ResearchGate] [Code] H. Khalilian, I. V. Bajić, and R. G. Vaughan, A simulation study of a 3D sound field reproduction system for immersive communication, IEEE/ACM Trans. Audio, Speech, and Language Processing, vol. 25, no. 5, pp. 980-995. May. 2017. [ResearchGate] [Code] D. Zhang and J. Liang, Graph-based Transform for 2D Piecewise Smooth Signals with Random Discontinuities, IEEE Trans. Image Processing, Vol. 26, No. 4, pp. 1679-1693. Apr. 2017. [IEEEXplore] [] O. Alhussein, I. Ahmed, J. Liang, S. Muhaidat, Unified Analysis of Diversity Reception in the Presence of Implusive Noise, IEEE Trans. Vehicular Technology, Vol. 66, No. 2, pp. 1408-1477. Feb. 2017. [IEEEXplore] [] C. Dinesh, I. V. Bajić, and G. Cheung, Exemplar-based framework for 3D point cloud hole filling, Proc. IEEE VCIP'17, St. Petersburg, FL, Dec. 2017. Dec. 2017. [ResearchGate] [Code] X. Wang, H. W. Ng, and J. Liang, Lapped Convolutional Neural Networks for Embedded Systems, Proc. IEEE GlobalSIP’17, Montreal, Quebec, Canada, pp. 1135-1139. Nov. 2017. [] [] H. Choi and I. V. Bajić, HEVC intra features for human detection, Proc. IEEE GlobalSIP'17, pp. 393-397, Montreal, QC. Nov. 2017. [ResearchGate] [] L. Zhao, J. Liang, H. Bai, A. Wang, and Y. Zhao, Convolutional Neural Network-based Depth Artifact Removal, Proc. IEEE ICIP’17, Beijing, China. Sep. 2017. [] [] L. Bragilevsky and I. V. Bajić, Deep learning for Amazon satellite image analysis, Proc. IEEE PacRim'17, Victoria, BC. Aug. 2017. [] [] L. Zhao, J. Liang, H. Bai, A. Wang, and Y. Zhao, Single Depth Image Super-Resolution with Multiple Residual Dictionary Learning and Refinement, Proc. IEEE ICME’17, Hong Kong. Jul. 2017. [] [] X. Shang, H. Zhao, G. Wang, C. Wu, C. Lin, and J. Liang, A New Combined PSNR for Objective Video Quality Assessment, Proc. IEEE ICME’17, Hong Kong. Jul. 2017. [] [] H. Choi and I. V. Bajić, Corner proposals from HEVC bitstreams, Proc. IEEE ISCAS'17, pp. 1-4, Baltimore, MD. May. 2017. [ResearchGate] [] 2016
H. Hadizadeh and I. V. Bajić, Color Gaussian jet features for no-reference quality assessment of multiply-distorted images, IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1717-1721. Dec. 2016. [ResearchGate] [Code] S. Makonin, F. Popowich, I. V. Bajić, B. Gill, and L. Bartram, Exploiting HMM sparsity to perform online real-time nonintrusive load monitoring (NILM), IEEE Trans. Smart Grid, vol. 7, no. 6, pp. 2575-2585. Nov. 2016. [ResearchGate] [Code] H. Lei, A. Wang, W. Liu, and J. Liang, Early Termination Algorithm for the Depth Modeling Mode in 3D-HEVC, Journal of Electronic Imaging, 25(5), 050503. doi:10.1117/1.JEI.25.5.050503. Oct. 2016. [SPIE] [] B. Selim, O. Alhussein, S. Muhaidat, G. K. Karagiannidis, and J. Liang, Modeling And Analysis of Wireless Channels via the Mixture of Gaussians Distribution, IEEE Trans. Vehicular Technology, Vol. 65, No. 10, pp. 8309-8321. Oct. 2016. [IEEEXplore] [] A. A. Hammadi, O. Alhussein, P. C. Sofotasios, S. Muhaidat, M. Al-Qutayri, S. Al-Araji, G. K. Karagiannidis, and J. Liang, Unified Analysis of Cooperative Spectrum Sensing over Composite and Generalized Fading Channels, IEEE Trans. Vehicular Technology, Vol. 65, No. 9, pp. 6949-6961. Sep. 2016. [IEEEXplore] [] S. Liu, A. Wang, H. Wang, S. Li, D. Zhuo, and J. Liang, Adaptive Residual-based Distributed Compressed Sensing for Soft Video Multicasting over Wireless Networks, Multimedia Tools and Applications, doi:10.1007/s11042-016-3859-3, pp. 1-20. Sep. 2016. [Springer] [] X. Wang, and J. Liang, Multi-Resolution Compressed Sensing via Approximate Message Passing, IEEE Trans. on Computational Imaging, Vol. 2, No. 3, pp. 218-234. Sep. 2016. [IEEEXplore] [Code] H. Hadizadeh and I. V. Bajić, No-reference image quality assessment using statistical wavelet-packet features, Pattern Recognition Letters, vol. 80, pp. 144–149. Sep. 2016. [ScienceDirect] [Code] H. Khalilian, I. V. Bajić, and R. G. Vaughan, Comparison of loudspeaker placement methods for sound field reproduction, IEEE/ACM Trans. Audio, Speech, and Language Processing, vol. 24, no.8, pp. 1364 – 1379. Aug. 2016. [ResearchGate] [Code] S. Makonin, B. Ellert, I. V. Bajić, and F. Popowich, Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014, Scientific Data (Nature Publishing Group), vol. 3, article no. 160037. Jun. 2016. [Nature] [] V. A. Mateescu and I. V. Bajić, Visual attention retargeting, IEEE MultiMedia, vol. 23, no. 1, pp. 82-91. Mar. 2016. [ResearchGate] [] Y. Gao, G. Cheung, M. Thomas, P. Frossard, and J. Liang, Encoder-Driven Inpainting Strategy in Multiview Video Compression, IEEE Trans. Image Processing, Vol. 25, No. 1, pp. 134 – 149. Jan. 2016. [IEEEXplore] [] M. P. Stapleton and I. V. Bajić, Robust domain-filling plumb-line lens distortion correction, Proc. IEEE ISM'16, pp. 507-514, San Jose, CA. Dec. 2016. [IEEEXplore] [Code] X. Wang, and J. Liang, Scalable Compression of Deep Neural Networks, 2016 ACM Multimedia Conference, Amsterdam, Netherland, pp. 511-515. Oct. 2016. [ACM] [] H. Khalilian, I. V. Bajić, and R. G. Vaughan, Learning to reproduce a sound field, Proc. IEEE MLSP'16, Salerno, Italy. Sep. 2016. [ResearchGate] [] S. Wu, J. Liang, and J. Ho, Head pose estimation and its application in TV viewers' behavior analysis, 2016 IEEE Canadian Conf. on Electrical and Computer Engineering (CCECE), Vancouver, Canada, pp. 1-6. May. 2016. [] [] J. Lin and I. V. Bajić, A platform for subjective image quality evaluation on mobile devices, Proc. IEEE CCECE'16, Vancouver, BC. May. 2016. [IEEEXplore] [] M. P. Stapleton, M. Z. A. Bhotto and I. V. Bajić, A simulation environment for visual-inertial sensor fusion, Proc. IEEE CCECE'16, Vancouver, BC. May. 2016. [IEEEXplore] [] D. Zhang, and J. Liang, Graph-based Transform for 2D Piecewise Smooth Signals with Random Discontinuities, Data Compression Conference (DCC), Utah, USA, pp. 447-455. Mar. 2016. [] [] I. V. Bajić, Video streaming, AccessScience, McGraw-Hill Education, . 2016. [McGraw-Hill] [] 2015
S. H. Khatoonabadi, I. V. Bajić, and Y. Shan, Compressed-domain correlates of human fixations in dynamic scenes, Multimedia Tools and Applications, vol. 74, no. 22, pp. 10057-10075. (Special Issue on Perception Inspired Video Processing) Nov. 2015. [ResearchGate] [Code] X. Wang, and J. Liang, Approximate Message Passing-based Compressed Sensing Reconstruction with Generalized Elastic Net Prior, Signal Processing: Image Communication, Vol. 37, pp. 19-33. Sep. 2015. [ScienceDirect] [Code] K. Min, J. Ma, D. Sim, and I. V. Bajić, Bi-directional mesh-based frame rate up-conversion with a dense motion vector map, IEEE MultiMedia, vol. 22, no. 2, pp. 36-45. Jun. 2015. [IEEEXplore] [] D. Zhang, and J. Liang, View Synthesis Distortion Estimation with Graphical Model and Recursive Calculation of Probability Distribution, IEEE Trans. on Circuits and Systems for Video Technology, Vol. 25, No. 5, pp. 827-840. May. 2015. [IEEEXplore] [Code] K.-Y. Min, W. Lim, J. Nam, D. Sim, and I. V. Bajić, Distributed video coding supporting hierarchical GOP structures with transmitted motion vectors, EURASIP J. Image and Video Processing, 12:00.0 May. 2015. [Springer] [] Md. Z. A. Bhotto and I. V. Bajić, Constant modulus blind adaptive beamforming based on unscented Kalman filtering,, IEEE Signal Processing Letters, vol. 22, no. 4, pp. 474-478. Apr. 2015. [IEEEXplore] [] M. Zhao, X. Gong, J. Liang, W. Wang, X. Que, and S. Cheng, QoE-driven Cross-layer Optimization for Wireless Dynamic Adaptive Streaming of Scalable Videos over HTTP, IEEE Trans. on Circuits and Systems for Video Technology, Vol. 25, No. 3, pp. 451-465. Mar. 2015. [IEEEXplore] [] J. Guo, X. Gong, J. Liang, S. Zhang, M. Zhao, W. Wang, and Z. Li, A Hybrid Transmission Approach for DASH over MBMS in LTE Network, 2015 IEEE Global Telecommunications Conference (GLOBECOM), San Diego, USA. pp. 1-6. Dec. 2015. [] [] O. Alhussein, A. Al Hammadi, P. C. Sofotasios, S. Muhaidat, J. Liang, M. Al-Qutayri, and G. K. Karagiannidis, Performance Analysis of Energy Detection over Mixture Gamma based Fading Channels with Diversity Reception, IEEE Int. Conf. Wireless and Mobile Compuer, Network and Communications, Abu Dhabi, UAE, pp. 1-7 Oct. 2015. [] [] L. Liu, J. Liang, Y. Zhao, C. Lin, and H. Bai, Quantized Dictionary for Sparse Representation, IEEE Workshop on Multimedia Signal Processing (MMSP), Xiamen, China, pp. 1-6. Oct. 2015. [] [] G. Javadi, A. Hajshirmohammadi, and J. Liang, JPEG2000 Image Transmission Over OFDM-Based Cognitive Radio Network, IEEE 6th International Conference and Workshop on Computing and Communication, Vancouver, Canada, pp. 1-6. Oct. 2015. [] [] X. Wang, and J. Liang, Multi-Resolution Compressed Sensing Reconstruction via Approximate Message Passing, Proc. 2015 IEEE Inter. Conf. Image Processing (ICIP), Quebec City, Canada, pp. 4352-4356. Sep. 2015. [] [] M. Zhao, X. Gong, J. Liang, J. Guo, W. Wang,X. Que, and S. Cheng, A Cloud-assisted DASH-based Scalable Interactive Multiview Video Streaming Framework, Proc. 31st Picture Coding Symposium, pp. 221-226, Cairns, Australia. pp. 221-226. Jun. 2015. [] [] S. H. Khatoonabadi, N. Vasconcelos, I. V. Bajić, and Y. Shan, How many bits does it take for a stimulus to be salient?,, Proc. IEEE CVPR'15, pp. 5501-5510, Boston, MA. Jun. 2015. [ResearchGate] [Code] A. Hajshirmohammadi, N. Zarei, Incorporating Experiential Learning In Lower Division Engineering Courses, Canadian Engineering Education Association Conference (CEEA'15), Hamilton, Ont. Jun. 2015. [] [] O. Alhussein, B. Selim, T. Assaf, S. Muhaidat, J. Liang, and G. Karagiannidis, A Generalized Mixture of Gaussians Model for Fading Channels, Proc. 2015 IEEE Vehicular Technology Conference, Glasgow, Scotland, pp. 1-6. May. 2015. [] [] H. Khalilian, I. V. Bajić, and R. G. Vaughan, Joint optimization of loudspeaker placement and radiation patterns for sound field reproduction, Proc. IEEE ICASSP'15, pp. 519-523, Brisbane, Australia. Apr. 2015. [IEEEXplore] [] 2014
D. Wu, Y. Bi, and J. Liang, Cooperative Downloading by Multi-Vehicles in Urban VANET, International Journal of Distributed Sensor Networks, Vol. 2014 ID 319514, 9 pages. Feb. 2014. [Sage] [] L. Meng, J. Liang, U. Samarawickrama, Y. Zhao, H. Bai, and A. Kaup, Multiple Description Coding with Randomly and Uniformly Offset Quantizers, IEEE Trans. on Image Processing, Vol. 23, No. 2, pp. 582-595. Feb. 2014. [IEEEXplore] [] H. Hadizadeh and I. V. Bajić, Saliency-aware video compression, IEEE Trans. Image Processing, vol. 23, no. 1, pp. 19-33. Jan. 2014. [IEEEXplore] [Code] O. Alhussein, S. Muhaidat, J. Liang, and P. D. Yoo, A Unified Approach for Representing Wireless Channels using EM-Based Finite Mixture of Gamma Distributions, 2014 IEEE Global Telecommunications Conference (GLOBECOM), pp. 1008-1013, Austin, TX. Dec. 2014. [] [] V. A. Mateescu and I. V. Bajić, Can subliminal flicker guide attention in natural images?, Proc. ACM Multimedia PIVP, pp. 33-34, Orlando, FL. Nov. 2014. [ACM] [Code] S. H. Khatoonabadi, I. V. Bajić, and Y. Shan, Compressed-domain correlates of fixations in video,, Proc. ACM Multimedia PIVP, pp. 3-8, Orlando, FL. Nov. 2014. [ACM] [Code] V. A. Mateescu and I. V. Bajić, Attention retargeting by color manipulation in images, Proc. ACM Multimedia PIVP, pp. 15-20, Orlando, FL. Nov. 2014. [ACM] [Code] S. H. Khatoonabadi, I. V. Bajić, and Y. Shan, Comparison of visual saliency models for compressed video, Proc. IEEE ICIP'14, pp. 1081-1085, Paris, France. Oct. 2014. [IEEEXplore] [Code] C. Bi, J. Liang, and D. Wu, Joint source-channel coding of JPEG 2000 image transmission ove coded cooperative networks, Proc. 2014 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP’14), pp. 276-280, Xi'an, China. Jul. 2014. [] [] M. Zhao, X. Gong, J. Liang, W. Wang, X. Que, and S. Cheng, Scheduling and Resource Allocation for Wireless Dynamic Adaptive Streaming of Scalable Videos over HTTP, Proc. 2014 IEEE International Conference on Communications (ICC), pp. 1681-1686, Sydney, Australia. Jun. 2014. [] [] X. Wang, J. Liang, Side Information-Aided Compressed Sensing Reconstruction via Approximate Message Passing, Proc. 2014 IEEE Inter. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 3330-3334, Florence, Italy. May. 2014. [] [] Y. Gao, G. Cheung, T. Maugey, P. Frossard, and J. Liang, 3D Geometry Representation using Multiview Coding of Image Tiles, Proc. 2014 IEEE Inter. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 6157-6161, Florence. May. 2014. [] [] C.-H. Kwak and I. V. Bajić, Hybrid compression of dynamic 3D mesh data, Proc. IEEE ICASSP'14, pp. 6183-6187, Florence, Italy. May. 2014. [IEEEXplore] [] B. Macchiavello, C. Dorea, E. Hung, G. Cheung, and I. V. Bajić, Low-saliency prior for disocclusion hole filling in DIBR-synthesized images, Proc. IEEE ICASSP'14, pp. 579-583, Florence, Italy. May. 2014. [IEEEXplore] [] 2013
H. Choi, J. Yoo, J. Nam, D. Sim, and I. V. Bajić, Pixel-wise unified rate-quantization model for multi-level rate control, IEEE J. Sel. Topics Signal Process, vol. 7, no. 6, pp. 1112-1123. (Special Issue on Video Coding: HEVC and Beyond) Dec. 2013. [IEEEXplore] [] H. Hadizadeh, I. V. Bajić, and G. Cheung,, Video error concealment using a computation-efficient low saliency prior, IEEE Trans. Multimedia, vol. 15, no. 8, pp. 2099-2113. Dec. 2013. [IEEEXplore] [] H. Khalilian and I. V. Bajić, Video watermarking with empirical PCA-based decoding, IEEE Trans. Image Processing, vol. 22, no. 12, pp. 4825-4840. Dec. 2013. [IEEEXplore] [Code] P. Wan, Y. Feng, G. Cheung, I. V. Bajić, and O. C. Au, 3D motion estimation for visual saliency modeling, IEEE Signal Processing Letters, vol. 20, no. 10, pp. 972-975. Oct. 2013. [IEEEXplore] [] M. Seyfi, S. Muhaidat and J. Liang, Relay Selection in Cognitive Radio Networks with Interference Constraints, IET Communications, Vol. 7, Iss. 10, pp. 922-930. Aug. 2013. [IEEEXplore] [] Y. Gao, X. Xiu, J. Liang, and W. Lin, Fast synthesized and predicted just noticeable distortion maps for perceptual multiview video coding, Journal of Visual Communication and Image Representation, Vol. 24, Iss. 6, pp. 700–707 Aug. 2013. [ScienceDirect] [] D. Wu, Y. Ling, H. Zhu, and J. Liang, The RSU Access Problem Based on Evolutionary Game Theory for VANET, International Journal of Distributed Sensor Networks, Vol. 2013, ID 143024, 7 pages. Jul. 2013. [Sage] [] D. Zhang, J. Liang, and I. Singh, Fast Transmission Distortion Estimation and Adaptive Error Protection for H.264/AVC-based Embedded Video Conferencing Systems, Signal Processing: Image Communication, Volume 28, Issue 5, pp. 417–429. May. 2013. [ScienceDirect] [] M. Shayegannia, A. Hajshirmohammadi, S. Muhaidat, and M. Torki, Transmission of JPEG2000 Images over Frequency Selective Channels with Unequal Power Allocation, IET Image Processing, Vol. 7, Issue 1 Feb. 2013. [] [] S. H. Khatoonabadi and I. V. Bajić, Video object tracking in the compressed domain using spatio-temporal Markov random fields, IEEE Trans. Image Processing, vol. 22, no. 1, pp. 300-313. Jan. 2013. [IEEEXplore] [Code] D. Zhang, J. Liang, and X. Gong, distortion Estimation for Two-Step View Synthesis, Proc. Picture Coding Symposium (PCS), San Jose, CA, pp. 93-96. Dec. 2013. [] [] H. Khalilian, I. V. Bajić, and R. G. Vaughan, Loudspeaker placement for sound field reproduction by constrained matching pursuit, Proc. IEEE WASPAA'13, New Paltz, NY. Oct. 2013. [IEEEXplore] [] Y. Gao, G. Cheung, and J. Liang, Rate-Complexity Tradeoff for Client-Side Free Viewpoint Image Rendering, Proc. 2013 IEEE Inter. Conf. Image Processing (ICIP), Melbourne, Australia, pp. 1890-1894. Sep. 2013. [] [] C. Bi, and J. Liang, Layered Source-Channel Coding Over Two-Way Relay Networks, Proc. 2013 IEEE Vehicular Technology Conference (VTC), Las Vegas, USA, pp. 1-5. Sep. 2013. [] [] C. Qian and I. V. Bajić, Global motion estimation under translation-zoom ambiguity, Proc. IEEE PacRim'13, pp. 46-51, Victoria, BC. Aug. 2013. [IEEEXplore] [] S. Makonin, F. Popowich, L. Bartram, B. Gill, and I. V. Bajić, AMPds: A public dataset for load disaggregation and eco-feedback research, Proc. IEEE EPEC'13, Halifax, NS. Aug. 2013. [IEEEXplore] [] C. Qian and I. V. Bajić, Frame rate up-conversion using global and local higher-order motion, Proc. IEEE ICME'13, San Jose, CA. Jul. 2013. [IEEEXplore] [] V. A. Mateescu and I. V. Bajić, Guiding visual attention by manipulating orientation in images, Proc. IEEE ICME'13, San Jose, CA. Jul. 2013. [IEEEXplore] [] H. Khalilian, I. V. Bajić, and R. G. Vaughan, 3D sound field reproduction using diverse loudspeaker patterns, Proc. IEEE ICME'13 Workshops, short papers track, San Jose, CA. Jul. 2013. [IEEEXplore] [] S. H. Khatoonabadi and I. V. Bajić, Still visualization of object motion in compressed video, Proc. IEEE ICME'13 Workshops – MMIX, San Jose, CA. Jul. 2013. [IEEEXplore] [Code] S. H. Khatoonabadi and I. V. Bajić, Compressed-domain global motion estimation based on the Normalized Direct Linear Transform algorithm, presented at ITC-CSCC'13, Yeosu, Korea. Jul. 2013. [ResearchGate] [Code] J. Nam, I. V. Bajić, and D. Sim, Novel motion and disparity prediction for multi-view video coding, Proc. IEEE IVMSP'13, Seoul, Korea. Jun. 2013. [IEEEXplore] [] W. Lim, I. V. Bajić, and D. Sim, QP initialization and adaptive MAD prediction for rate control in HEVC-based multi-view video coding, Proc. IEEE IVMSP'13, Seoul, Korea. Jun. 2013. [IEEEXplore] [] X. Wang, J. Liang, View Interpolation Confidence-Aided Compressed Sensing of Multiviw Images, Proc. 2013 IEEE Inter. Conf. Acoustics, Speech, and Signal Processing (ICASSP), pp. 1651-1655, Vancouver, Canada. May. 2013. [] [] L. Meng, J. Liang, Y. Zhao, H. Bai, C. Lin, and A. Kaup, M-channel Multiple Description Coding based on Uniformly Offset Quantizers with optimal deadzone, Proc. 2013 IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2026-2030, Vancouver, Canada. May. 2013. [] [] L. Meng, J. Liang, U. Samarawickrama, Y. Zhao, H. Bai, and A. Kaup, M-channel Multiple Description Coding with Randomly Offset Quantizers, Proc. 2013 IEEE Inter. Symposium on Circuits and Systems (ISCAS), pp. 261-264, Beijing, China. May. 2013. [] [] C.-H. Kwak and I. V. Bajić, MoCap data coding with unrestricted quantization and rate control, Proc. IEEE ICASSP'13, pp. 3741-3745, Vancouver, BC. May. 2013. [IEEEXplore] [] P. Wan, Y. Feng, G. Cheung, I. V. Bajić, O. C. Au, and Y. Ji, 3D motion in visual saliency modeling, Proc. IEEE ICASSP'13, pp. 1831-1835, Vancouver, BC. May. 2013. [IEEEXplore] [] H. Khalilian, I. V. Bajić, and R. G. Vaughan, Towards optimal loudspeaker placement for sound field reproduction, Proc. IEEE ICASSP'13, pp. 321-325, Vancouver, BC. May. 2013. [IEEEXplore] [] W. Lim, I. V. Bajić, and D. Sim, QP initialization and interview MAD prediction for rate control in HEVC-based multi-view video coding, Proc. IEEE ICASSP'13, pp. 2045-2049, Vancouver, BC. May. 2013. [IEEEXplore] [] For earlier publications, please refer to individual professor’s webpage.