| 2025 | CVPR | DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models. | Saeed Ranjbar Alvar, Gursimran Singh, Mohammad Akbari, Yong Zhang |
| 2024 | ECCV | LaWa: Using Latent Space for In-Generation Image Watermarking. | Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar, Arezou Fatemi, Yong Zhang |
| 2023 | CoNLL | ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. | Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang |
| 2023 | KDD | NFT-Based Data Marketplace with Digital Watermarking. | Saeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Yong Zhang |
| 2021 | VCIP | Scalable Privacy in Multi-Task Image Compression. | Saeed Ranjbar Alvar, Ivan V. Bajic |
| 2020 | ICASSP | Bit Allocation for Multi-Task Collaborative Intelligence. | Saeed Ranjbar Alvar, Ivan V. Bajic |
| 2019 | ICIP | Multi-Task Learning with Compressible Features for Collaborative Intelligence. | Saeed Ranjbar Alvar, Ivan V. Bajic |
| 2018 | ICASSP | Can you Find a Face in a HEVC Bitstream? | Saeed Ranjbar Alvar, Hyomin Choi, Ivan V. Bajic |
| 2018 | MMSP | MV-YOLO: Motion Vector-Aided Tracking by Semantic Object Detection. | Saeed Ranjbar Alvar, Ivan V. Bajic |