Reza Pourreza

Affiliations:
  • Qualcomm AI Research, San Diego, CA, USA


According to our database1, Reza Pourreza authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Live Fitness Coaching as a Testbed for Situated Interaction.
CoRR, 2024

Look, Remember and Reason: Grounded Reasoning in Videos with Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set.
Trans. Mach. Learn. Res., 2023

Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving.
CoRR, 2023

Look, Remember and Reason: Visual Reasoning with Grounded Rationales.
CoRR, 2023

Boosting neural video codecs by exploiting hierarchical redundancy.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A neural video codec with spatial rate-distortion control.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Painter: Teaching Auto-regressive Language Models to Draw Sketches.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Differentiable bit-rate estimation for neural-based video codec enhancement.
Proceedings of the Picture Coding Symposium, 2022

MobileCodec: neural inter-frame video compression on mobile devices.
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.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

GameCodec: Neural Cloud Gaming Video Codec.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set.
CoRR, 2021

A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space.
CoRR, 2021

Extending Neural P-frame Codecs for B-frame Coding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Parallelized Rate-Distortion Optimized Quantization Using Deep Learning.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Adversarial Distortion for Learned Video Compression.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Feedback Recurrent Autoencoder for Video Compression.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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