A novel fast search motion estimation algorithm in video coding. - Saeed Ranjbar Alvar; Milad Abdollahzadeh; Hadi Seyedarabi (ISIE, 2014)

Lossless Intra Coding in HEVC with Adaptive 3-tap Filters. - Saeed Ranjbar Alvar; Fatih Kamisli (CoRR, 2016)

On lossless intra coding in HEVC with 3-tap filters. - Saeed Ranjbar Alvar; Fatih Kamisli (Signal Process. Image Commun., 2016)

Can you Find a Face in a HEVC Bitstream? - Saeed Ranjbar Alvar; Hyomin Choi; Ivan V. Bajic (ICASSP, 2018)

Can You Tell a Face from a HEVC Bitstream? - Saeed Ranjbar Alvar; Hyomin Choi; Ivan V. Bajic (MIPR, 2018)

MV-YOLO: Motion Vector-Aided Tracking by Semantic Object Detection. - Saeed Ranjbar Alvar; Ivan V. Bajic (MMSP, 2018)

Multi-Task Learning with Compressible Features for Collaborative Intelligence. - Saeed Ranjbar Alvar; Ivan V. Bajic (ICIP, 2019)

FDDB-360: Face Detection in 360-Degree Fisheye Images. - Jianglin Fu; Saeed Ranjbar Alvar; Ivan V. Bajic; Rodney G. Vaughan (MIPR, 2019)

Bit Allocation for Multi-Task Collaborative Intelligence. - Saeed Ranjbar Alvar; Ivan V. Bajic (ICASSP, 2020)

Scalable Privacy in Multi-Task Image Compression. - Saeed Ranjbar Alvar; Ivan V. Bajic (VCIP, 2021)

Pareto-Optimal Bit Allocation for Collaborative Intelligence. - Saeed Ranjbar Alvar; Ivan V. Bajic (IEEE Trans. Image Process., 2021)

License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes. - Saeed Ranjbar Alvar; Korcan Uyanik; Ivan V. Bajic (MIPR, 2022)

Practical Noise Simulation for RGB Images. - Saeed Ranjbar Alvar; Ivan V. Bajic (CoRR, 2022)

Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation. - Saeed Ranjbar Alvar; Lanjun Wang; Jian Pei 001; Yong Zhang 004 (CoRR, 2022)

Joint Image Compression and Denoising via Latent-Space Scalability. - Saeed Ranjbar Alvar; Mateen Ulhaq; Hyomin Choi; Ivan V. Bajic (CoRR, 2022)

ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. - Mohammad Akbari; Saeed Ranjbar Alvar; Behnam Kamranian; Amin Banitalebi-Dehkordi; Yong Zhang 004 (CoNLL, 2023)

NFT-Based Data Marketplace with Digital Watermarking. - Saeed Ranjbar Alvar; Mohammad Akbari; David (Ming Xuan) Yue; Yong Zhang 004 (KDD, 2023)

LaWa: Using Latent Space for In-Generation Image Watermarking. - Ahmad Rezaei; Mohammad Akbari; Saeed Ranjbar Alvar; Arezou Fatemi; Yong Zhang 004 (ECCV (89), 2024)

Compressive Feature Selection for Remote Visual Multi-Task Inference. - Saeed Ranjbar Alvar; Ivan V. Bajic (ICME Workshops, 2024)

AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking. - Saeed Ranjbar Alvar; Mohammad Akbari; David (Ming Xuan) Yue; Lingyang Chu; Yong Zhang (CoRR, 2024)

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models. - Saeed Ranjbar Alvar; Gursimran Singh; Mohammad Akbari; Yong Zhang (CVPR, 2025)

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models. - Saeed Ranjbar Alvar; Gursimran Singh; Mohammad Akbari; Yong Zhang 004 (CoRR, 2025)