Reza Pourreza
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
11
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | Look, Remember and Reason: Grounded Reasoning in Videos with Language Models. | Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza, Mingu Lee, Pulkit Madan, Roland Memisevic |
| 2023 | WACV | A neural video codec with spatial rate-distortion control. | Noor Fathima Ghouse, Jens Petersen, Guillaume Sautire, Auke J. Wiggers, Reza Pourreza |
| 2023 | WACV | Boosting neural video codecs by exploiting hierarchical redundancy. | Reza Pourreza, Hoang Le, Amir Said, Guillaume Sautire, Auke J. Wiggers |
| 2022 | BMVC | GameCodec: Neural Cloud Gaming Video Codec. | Hoang Le, Reza Pourreza, Amir Said, Guillaume Sautire, Auke J. Wiggers |
| 2022 | ICIP | Optimized Learned Entropy Coding Parameters for Practical Neural-Based Image and Video Compression. | Amir Said, Reza Pourreza, Hoang Le |
| 2022 | MMSys | MobileCodec: neural inter-frame video compression on mobile devices. | Hoang Le, Liang Zhang, Amir Said, Guillaume Sautire, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke J. Wiggers |
| 2022 | PCS | Differentiable bit-rate estimation for neural-based video codec enhancement. | Amir Said, Manish Kumar Singh, Reza Pourreza |
| 2021 | ICCV | Extending Neural P-frame Codecs for B-frame Coding. | Reza Pourreza, Taco Cohen |
| 2020 | ACCV | Feedback Recurrent Autoencoder for Video Compression. | Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautire, Taco S. Cohen |
| 2020 | CVPR | Adversarial Distortion for Learned Video Compression. | Vijay Veerabadran, Reza Pourreza, AmirHossein Habibian, Taco Cohen |
| 2020 | MMSP | Parallelized Rate-Distortion Optimized Quantization Using Deep Learning. | Dana Kianfar, Auke J. Wiggers, Amir Said, Reza Pourreza, Taco Cohen |
| 2017 | MICCAI | Brain Tumor Segmentation in MRI Scans Using Deeply-Supervised Neural Networks. | Reza Pourreza, Ying Zhuge, Holly Ning, Robert W. Miller |