Reza Pourreza

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Video Compression

Top Venues

Publications

Sunny Panchal, Apratim Bhattacharyya, Guillaume Berger, Antoine Mercier, Cornelius Böhm, Florian Dietrichkeit, Reza Pourreza, Xuanlin Li, Pulkit Madan, Mingu Lee, Mark Todorovich, Ingo Bax, Roland Memisevic
Live Fitness Coaching as a Testbed for Situated Interaction. CoRR (2024)
Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza, Mingu Lee, Pulkit Madan, Roland Memisevic
Look, Remember and Reason: Grounded Reasoning in Videos with Language Models. ICLR (2024)
Noor Fathima Ghouse, Jens Petersen, Guillaume Sautière, Auke Wiggers, Reza Pourreza
A neural video codec with spatial rate-distortion control. WACV (2023)
Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic
Painter: Teaching Auto-regressive Language Models to Draw Sketches. CoRR (2023)
Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Auke J. Wiggers, Taco Cohen
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set. Trans. Mach. Learn. Res. 2023 (2023)
Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic
Painter: Teaching Auto-regressive Language Models to Draw Sketches. ICCV (Workshops) (2023)
Reza Pourreza, Hoang Le, Amir Said, Guillaume Sautière, Auke Wiggers
Boosting neural video codecs by exploiting hierarchical redundancy. WACV (2023)
Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Reza Pourreza, Pulkit Madan, Roland Memisevic
Look, Remember and Reason: Visual Reasoning with Grounded Rationales. CoRR (2023)
Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su
Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving. CoRR (2023)
Amir Said, Reza Pourreza, Hoang Le
Optimized learned entropy coding parameters for practical neural-based image and video compression. CoRR (2023)
Amir Said, Manish Kumar Singh, Reza Pourreza
Differentiable bit-rate estimation for neural-based video codec enhancement. CoRR (2023)
Amir Said, Manish Kumar Singh, Reza Pourreza
Differentiable bit-rate estimation for neural-based video codec enhancement. PCS (2022)
Hoang Le, Liang Zhang, Amir Said, Guillaume Sautière, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke Wiggers
MobileCodec: neural inter-frame video compression on mobile devices. MMSys (2022)
Reza Pourreza, Hoang Le, Amir Said, Guillaume Sautière, Auke Wiggers
Boosting neural video codecs by exploiting hierarchical redundancy. CoRR (2022)
Amir Said, Reza Pourreza, Hoang Le
Optimized Learned Entropy Coding Parameters for Practical Neural-Based Image and Video Compression. ICIP (2022)
Hoang Le, Reza Pourreza, Amir Said, Guillaume Sautière, Auke Wiggers
GameCodec: Neural Cloud Gaming Video Codec. BMVC (2022)
Hoang Le, Liang Zhang, Amir Said, Guillaume Sautière, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke Wiggers
MobileCodec: Neural Inter-frame Video Compression on Mobile Devices. CoRR (2022)
Reza Pourreza, Taco Cohen
Extending Neural P-frame Codecs for B-frame Coding. ICCV (2021)
Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Taco S. Cohen
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set. CoRR (2021)
Reza Pourreza, Taco S. Cohen
Extending Neural P-frame Codecs for B-frame Coding. CoRR (2021)
Ankitesh K. Singh, Hilmi E. Egilmez, Reza Pourreza, Muhammed Z. Coban, Marta Karczewicz, Taco S. Cohen
A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space. CoRR (2021)
Vijay Veerabadran, Reza Pourreza, AmirHossein Habibian, Taco Cohen
Adversarial Distortion for Learned Video Compression. CVPR Workshops (2020)
Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautière, Taco S. Cohen
Feedback Recurrent Autoencoder for Video Compression. ACCV (4) (2020)
Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautière, Taco S. Cohen
Feedback Recurrent Autoencoder for Video Compression. CoRR (2020)
Vijay Veerabadran, Reza Pourreza, AmirHossein Habibian, Taco Cohen
Adversarial Distortion for Learned Video Compression. CoRR (2020)
Dana Kianfar, Auke Wiggers, Amir Said, Reza Pourreza, Taco Cohen
Parallelized Rate-Distortion Optimized Quantization Using Deep Learning. MMSP (2020)
Dana Kianfar, Auke Wiggers, Amir Said, Reza Pourreza, Taco Cohen
Parallelized Rate-Distortion Optimized Quantization Using Deep Learning. CoRR (2020)
Reza Pourreza, Amir Ghodrati, AmirHossein Habibian
Recognizing Compressed Videos: Challenges and Promises. ICCV Workshops (2019)