Reza Pourreza

According to our database, Reza Pourreza authored at least 22 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Can Vision-Language Models Answer Face to Face Questions in the Real-World?

Reza Pourreza, Rishit Dagli, Apratim Bhattacharyya, Sunny Panchal, Guillaume Berger, Roland Memisevic

CoRR, March, 2025

Enhancing Hallucination Detection through Noise Injection.

Litian Liu, Reza Pourreza, Sunny Panchal, Apratim Bhattacharyya, Ya-Qin Zhang, Roland Memisevic

CoRR, February, 2025

2024

Live Fitness Coaching as a Testbed for Situated Interaction.

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

CoRR, 2024

What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Look, Remember and Reason: Grounded Reasoning in Videos with Language Models.

Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza, Mingu Lee, Pulkit Madan, Roland Memisevic

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set.

Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Auke J. Wiggers, Taco Cohen

Trans. Mach. Learn. Res., 2023

Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving.

Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su

CoRR, 2023

Look, Remember and Reason: Visual Reasoning with Grounded Rationales.

Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Reza Pourreza, Pulkit Madan, Roland Memisevic

CoRR, 2023

Boosting neural video codecs by exploiting hierarchical redundancy.

Reza Pourreza, Hoang Le, Amir Said, Guillaume Sautière, Auke J. Wiggers

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A neural video codec with spatial rate-distortion control.

Noor Fathima Ghouse, Jens Petersen, Guillaume Sautière, Auke J. Wiggers, Reza Pourreza

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Painter: Teaching Auto-regressive Language Models to Draw Sketches.

Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Differentiable bit-rate estimation for neural-based video codec enhancement.

Amir Said, Manish Kumar Singh, Reza Pourreza

Proceedings of the Picture Coding Symposium, 2022

MobileCodec: neural inter-frame video compression on mobile devices.

Hoang Le, Liang Zhang, Amir Said, Guillaume Sautière, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke J. Wiggers

Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

Optimized Learned Entropy Coding Parameters for Practical Neural-Based Image and Video Compression.

Amir Said, Reza Pourreza, Hoang Le

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

GameCodec: Neural Cloud Gaming Video Codec.

Hoang Le, Reza Pourreza, Amir Said, Guillaume Sautière, Auke J. Wiggers

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set.

Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Taco S. Cohen

CoRR, 2021

A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space.

Ankitesh K. Singh, Hilmi E. Egilmez, Reza Pourreza, Muhammed Z. Coban, Marta Karczewicz, Taco S. Cohen

CoRR, 2021

Extending Neural P-frame Codecs for B-frame Coding.

Reza Pourreza, Taco Cohen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Parallelized Rate-Distortion Optimized Quantization Using Deep Learning.

Dana Kianfar, Auke J. Wiggers, Amir Said, Reza Pourreza, Taco Cohen

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Adversarial Distortion for Learned Video Compression.

Vijay Veerabadran, Reza Pourreza, AmirHossein Habibian, Taco Cohen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Feedback Recurrent Autoencoder for Video Compression.

Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautière, Taco S. Cohen

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Recognizing Compressed Videos: Challenges and Promises.

Reza Pourreza, Amir Ghodrati, AmirHossein Habibian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019