Ivan V. Bajic

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 155

Top Venues

Publications

Saeed Ranjbar Alvar, Ivan V. Bajic
Compressive Feature Selection for Remote Visual Multi-Task Inference. CoRR (2024)
Mateen Ulhaq, Ivan V. Bajic
Learned Compression of Encoding Distributions. CoRR (2024)
Anderson de Andrade, Ivan V. Bajic
Towards Task-Compatible Compressible Representations. CoRR (2024)
Jiacheng Wu, Jiaqi Zhang, Ivan V. Bajic, Shanshe Wang, Songlin Sun
A Fast Four-Parameter Affine Motion Compensation Algorithm for Video Coding. DCC (2024)
Chamani Shiranthika, Parvaneh Saeedi, Ivan V. Bajic
Optimizing Split Points for Error-Resilient SplitFed Learning. CoRR (2024)
Mateen Ulhaq, Ivan V. Bajic
Scalable Human-Machine Point Cloud Compression. CoRR (2024)
Hadi Hadizadeh, S. Faegheh Yeganli, Bahador Rashidi, Ivan V. Bajic
Mutual Information Analysis in Multimodal Learning Systems. CoRR (2024)
Mateen Ulhaq, Ivan V. Bajic
Scalable Human-Machine Point Cloud Compression. PCS (2024)
Yalda Foroutan, Alon Harell, Anderson de Andrade, Ivan V. Bajic
Base Layer Efficiency in Scalable Human-Machine Coding. CoRR (2023)
Zahra Hafezi Kafshgari, Ivan V. Bajic, Parvaneh Saeedi
Smart Split-Federated Learning over Noisy Channels for Embryo Image Segmentation. ICASSP (2023)
Yalda Foroutan, Alon Harell, Anderson de Andrade, Ivan V. Bajic
Base Layer Efficiency in Scalable Human-Machine Coding. ICIP (2023)
Hanieh Naderi, Ivan V. Bajic
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey. IEEE Access 11 (2023)
Anderson de Andrade, Alon Harell, Yalda Foroutan, Ivan V. Bajic
Conditional and Residual Methods in Scalable Coding for Humans and Machines. CoRR (2023)
Zahra Hafezi Kafshgari, Chamani Shiranthika, Parvaneh Saeedi, Ivan V. Bajic
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations. ISBI (2023)
Zahra Hafezi Kafshgari, Chamani Shiranthika, Parvaneh Saeedi, Ivan V. Bajic
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations. CoRR (2023)
Chamani Shiranthika, Zahra Hafezi Kafshgari, Parvaneh Saeedi, Ivan V. Bajic
SplitFed resilience to packet loss: Where to split, that is the question. CoRR (2023)
Chamani Shiranthika, Zahra Hafezi Kafshgari, Parvaneh Saeedi, Ivan V. Bajic
SplitFed Resilience to Packet Loss: Where to Split, that is the Question. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Alon Harell, Yalda Foroutan, Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo, Anderson de Andrade, Ivan V. Bajic
Rate-Distortion Theory in Coding for Machines and its Application. CoRR (2023)
Korcan Uyanik, S. Faegheh Yeganli, Ivan V. Bajic
Grad-FEC: Unequal Loss Protection of Deep Features in Collaborative Intelligence. ICIP (2023)
Alon Harell, Yalda Foroutan, Ivan V. Bajic
VVC+M: Plug and Play Scalable Image Coding for Humans and Machines. CoRR (2023)
Chamani Shiranthika, Parvaneh Saeedi, Ivan V. Bajic
Decentralized Learning in Healthcare: A Review of Emerging Techniques. IEEE Access 11 (2023)
Ivan V. Bajic, Marta Mrak, Frédéric Dufaux, Enrico Magli, Tsuhan Chen
Multimedia Signal Processing: A history of the Multimedia Signal Processing Technical Committee. IEEE Signal Process. Mag. 40 (4) (2023)
Hadi Hadizadeh, Ivan V. Bajic
Learned Scalable Video Coding For Humans and Machines. CoRR (2023)
Hanieh Naderi, Ivan V. Bajic
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey. CoRR (2023)
Alon Harell, Yalda Foroutan, Ivan V. Bajic
$\text{VVC} +\mathrm{M}$: Plug and Play Scalable Image Coding for Humans and Machines. ICME Workshops (2023)
Mateen Ulhaq, Ivan V. Bajic
Learned Point Cloud Compression for Classification. MMSP (2023)
Ivan V. Bajic, Teo Saeedi-Bajic, Kai Saeedi-Bajic
Metaverse: A Young Gamer's Perspective. MMSP (2023)
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Choongseop Lee, Timothy Woinoski, Ivan V. Bajic
Decomposed Key-Point Detector for Swimming Pool Localization. ICME Workshops (2023)
Hadi Hadizadeh, Ivan V. Bajic
LCCM-VC: Learned Conditional Coding Modes for Video Compression. ICASSP Workshops (2023)
Mateen Ulhaq, Ivan V. Bajic
Learned Point Cloud Compression for Classification. CoRR (2023)
Rashid Zamanshoar Heris, Ivan V. Bajic
Multi-Task Learning for Screen Content Image Coding. ISCAS (2023)
Anderson de Andrade, Alon Harell, Yalda Foroutan, Ivan V. Bajic
Conditional and Residual Methods in Scalable Coding for Humans and Machines. ICME Workshops (2023)
Korcan Uyanik, S. Faegheh Yeganli, Ivan V. Bajic
Grad-FEC: Unequal Loss Protection of Deep Features in Collaborative Intelligence. CoRR (2023)
Hanieh Naderi, Chinthaka Dinesh, Ivan V. Bajic, Shohreh Kasaei
Model-Free Prediction of Adversarial Drop Points in 3D Point Clouds. CoRR (2022)
Alon Harell, Anderson de Andrade, Ivan V. Bajic
Rate-Distortion in Image Coding for Machines. CoRR (2022)
Saeed Ranjbar Alvar, Korcan Uyanik, Ivan V. Bajic
License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes. CoRR (2022)
Chinthaka Dinesh, Gene Cheung, Saghar Bagheri, Ivan V. Bajic
Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect Alignment. CoRR (2022)
Saeed Ranjbar Alvar, Mateen Ulhaq, Hyomin Choi, Ivan V. Bajic
Joint Image Compression and Denoising via Latent-Space Scalability. CoRR (2022)
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
Point Cloud Video Super-Resolution via Partial Point Coupling and Graph Smoothness. IEEE Trans. Image Process. 31 (2022)
Timothy J. Woinoski, Ivan V. Bajic
Towards Automated Key-Point Detection in Images with Partial Pool View. CoRR (2022)
Hyomin Choi, Ivan V. Bajic
Scalable Video Coding for Humans and Machines. CoRR (2022)
Takehiro Tanaka, Alon Harell, Ivan V. Bajic
Does Video Compression Impact Tracking Accuracy? CoRR (2022)
Hyomin Choi, Ivan V. Bajic
Scalable Image Coding for Humans and Machines. IEEE Trans. Image Process. 31 (2022)
Nir Shlezinger, Ivan V. Bajic
Collaborative Inference for AI-Empowered IoT Devices. IEEE Internet Things Mag. 5 (4) (2022)
Saeed Ranjbar Alvar, Korcan Uyanik, Ivan V. Bajic
License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes. MIPR (2022)
Bardia Azizian, Ivan V. Bajic
Privacy-Preserving Feature Coding for Machines. PCS (2022)
Victor A. Mateescu, Ivan V. Bajic
Adversarial Attacks on Human Vision. CoRR (2022)
Saeed Ranjbar Alvar, Ivan V. Bajic
Practical Noise Simulation for RGB Images. CoRR (2022)
Alon Harell, Anderson de Andrade, Ivan V. Bajic
Rate-Distortion in Image Coding for Machines. PCS (2022)
Hyomin Choi, Ivan V. Bajic
Scalable Video Coding for Humans and Machines. MMSP (2022)
Chinthaka Dinesh, Saghar Bagheri, Gene Cheung, Ivan V. Bajic
Linear-Time Sampling on Signed Graphs Via Gershgorin Disc Perfect Alignment. ICASSP (2022)
Bardia Azizian, Ivan V. Bajic
Privacy-Preserving Feature Coding for Machines. CoRR (2022)
Timothy Woinoski, Ivan V. Bajic
Towards Automated Key-Point Detection in Images with Partial Pool View. MMSports@MM (2022)
Takehiro Tanaka, Alon Harell, Ivan V. Bajic
Does Video Compression Impact Tracking Accuracy? ISCAS (2022)
Hyomin Choi, Ivan V. Bajic
Latent-Space Scalability for Multi-Task Collaborative Intelligence. ICIP (2021)
Ashiv Dhondea, Robert A. Cohen, Ivan V. Bajic
CALTeC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence. CoRR (2021)
Suemin Lee, Ivan V. Bajic
Analysis of Information Flow Through U-Nets. CoRR (2021)
Robert A. Cohen, Hyomin Choi, Ivan V. Bajic
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence. CoRR (2021)
Robert A. Cohen, Hyomin Choi, Ivan V. Bajic
Lightweight compression of neural network feature tensors for collaborative intelligence. CoRR (2021)
Timothy Woinoski, Ivan V. Bajic
Swimmer Stroke Rate Estimation From Overhead Race Video. CoRR (2021)
Timothy Woinoski, Ivan V. Bajic
Swimmer Stroke Rate Estimation from Overhead Race Video. ICME Workshops (2021)
Mateen Ulhaq, Ivan V. Bajic
Analysis of Latent-Space Motion for Collaborative Intelligence. CoRR (2021)
Ivan V. Bajic, Weisi Lin, Yonghong Tian
Collaborative Intelligence: Challenges and Opportunities. ICASSP (2021)
Takehiro Tanaka, Hyomin Choi, Ivan V. Bajic
SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences. CoRR (2021)
Saeed Ranjbar Alvar, Ivan V. Bajic
Pareto-Optimal Bit Allocation for Collaborative Intelligence. IEEE Trans. Image Process. 30 (2021)
Alon Harell, Richard Jones, Stephen Makonin, Ivan V. Bajic
TraceGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks. IEEE Trans. Smart Grid 12 (5) (2021)
Ivan V. Bajic
Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection. CoRR (2021)
Saeed Ranjbar Alvar, Ivan V. Bajic
Scalable Privacy in Multi-Task Image Compression. VCIP (2021)
Ashiv Dhondea, Robert A. Cohen, Ivan V. Bajic
DFTS2: Simulating Deep Feature Transmission Over Packet Loss Channels. CoRR (2021)
Ivan V. Bajic
Latent Space Inpainting for Loss-Resilient Collaborative Object Detection. ICC (2021)
Ivan V. Bajic, Weisi Lin, Yonghong Tian
Collaborative Intelligence: Challenges and Opportunities. CoRR (2021)
Lior Bragilevsky, Ivan V. Bajic
Error Resilient Collaborative Intelligence via Low-Rank Tensor Completion. CoRR (2021)
Suemin Lee, Ivan V. Bajic
Information Flow Through U-Nets. ISBI (2021)
Hadi Hadizadeh, Ivan V. Bajic
Soft Video Multicasting Using Adaptive Compressed Sensing. IEEE Trans. Multim. 23 (2021)
Hyomin Choi, Ivan V. Bajic
Affine Transformation-Based Deep Frame Prediction. IEEE Trans. Image Process. 30 (2021)
Ashiv Dhondea, Robert A. Cohen, Ivan V. Bajic
DFTS2: Deep Feature Transmission Simulation for Collaborative Intelligence. VCIP (2021)
Mateen Ulhaq, Ivan V. Bajic
Latent Space Motion Analysis for Collaborative Intelligence. ICASSP (2021)
Robert A. Cohen, Hyomin Choi, Ivan V. Bajic
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence. IEEE Open J. Circuits Syst. 2 (2021)
Ashiv Dhondea, Robert A. Cohen, Ivan V. Bajic
CALTEC: Content-Adaptive Linear Tensor Completion For Collaborative Intelligence. ICIP (2021)
Mateen Ulhaq, Ivan V. Bajic
Shared Mobile-Cloud Inference for Collaborative Intelligence. CoRR (2020)
Saeed Ranjbar Alvar, Ivan V. Bajic
Pareto-Optimal Bit Allocation for Collaborative Intelligence. CoRR (2020)
Saeed Ranjbar Alvar, Ivan V. Bajic
Bit Allocation for Multi-Task Collaborative Intelligence. ICASSP (2020)
Hyomin Choi, Ivan V. Bajic
A Lightweight Model for Deep Frame Prediction in Video Coding. ACSSC (2020)
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
Point Cloud Denoising via Feature Graph Laplacian Regularization. IEEE Trans. Image Process. 29 (2020)
Chinthaka Dinesh, Gene Cheung, Fen Wang, Ivan V. Bajic
Sampling Of 3d Point Cloud Via Gershgorin Disc Alignment. ICIP (2020)
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
Super-Resolution of 3D Color Point Clouds Via Fast Graph Total Variation. ICASSP (2020)
Yingchun Wu, Yumei Wang, Jie Liang, Ivan V. Bajic, Anhong Wang
Light field all-in-focus image fusion based on spatially-guided angular information. J. Vis. Commun. Image Represent. 72 (2020)
Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic
Stop: Exploring Bayesian Surprise to Better Train NILM. NILM@SenSys (2020)
Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring. CoRR (2020)
Hadi Hadizadeh, Ivan V. Bajic
Soft Video Multicasting Using Adaptive Compressed Sensing. CoRR (2020)
Hyomin Choi, Robert A. Cohen, Ivan V. Bajic
Back-And-Forth Prediction for Deep Tensor Compression. ICASSP (2020)
Timothy Woinoski, Alon Harell, Ivan V. Bajic
Towards Automated Swimming Analytics Using Deep Neural Networks. CoRR (2020)
Hyomin Choi, Robert A. Cohen, Ivan V. Bajic
Back-and-Forth prediction for deep tensor compression. CoRR (2020)
Lior Bragilevsky, Ivan V. Bajic
Tensor Completion Methods for Collaborative Intelligence. IEEE Access 8 (2020)
Saeed Ranjbar Alvar, Ivan V. Bajic
Bit Allocation for Multi-Task Collaborative Intelligence. CoRR (2020)
Robert A. Cohen, Hyomin Choi, Ivan V. Bajic
Lightweight Compression Of Neural Network Feature Tensors For Collaborative Intelligence. ICME (2020)
Hyomin Choi, Ivan V. Bajic
Deep Frame Prediction for Video Coding. IEEE Trans. Circuits Syst. Video Technol. 30 (7) (2020)
Chinthaka Dinesh, Stephen Makonin, Ivan V. Bajic
Residential Power Forecasting Based on Affinity Aggregation Spectral Clustering. IEEE Access 8 (2020)
Alon Harell, Richard Jones, Stephen Makonin, Ivan V. Bajic
PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ivan V. Bajic