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20162026
most citedLearning Graphs with Monotone Topology Properties and Multiple Connected Components

55 citations · 125 across the 37 of their papers we have counts for

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8 papers · 1 filter

eess.IV2026

Rate-distortion optimization for full-reference image quality metrics via stochastic Hessian estimates

Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega

Block-based video codecs select coding parameters based on the input by optimizing a rate-distortion trade-off. The conventional distortion choice, the sum of squared errors (SSE),…

cs.LG2026

Spend Bits Where Queries Look: KV Cache Vector Quantization with Attention-Preserving Transforms

Samuel Fernández-Menduiña, Amir Ziashahabi, Eduardo Pavez +2

Long-context LLM decoding reads the key-value (KV) cache at every step. Loading it takes longer than computing attention over it, so throughput is bandwidth-bound. Hence, reducing…

eess.IV2026

Reduced-complexity Adaptive Loop Filtering via Input-dependent Graph Filters

Wen-Yang Lu, Eduardo Pavez, Antonio Ortega +2

Adaptive Loop Filtering is an important tool for suppressing compression artifacts in modern video codecs. In the enhanced compression model (ECM), a software test model used for e…

eess.IV2026

Motion Estimation Techniques for Volumetric Video Attribute Compression

Haoran Hong, Eduardo Pavez, Antonio Ortega +2

Point cloud compression relies on techniques to compress both geometry and attributes. Motion-based approaches for dynamic solid point cloud geometry compression within the geometr…

cs.MM2026

GS-NFS: Bandwidth-adaptive Streaming of Dynamic Gaussian Splats and Point Clouds

Rajrup Ghosh, Haodong Wang, Haoran Hong +6

Dynamic 3D Gaussian Splatting (3DGS) holds great promise as a 3D video streaming technology since it can represent complex 3D scenes with high fidelity. In this approach, every fra…

eess.IV2026

FaSST: Fast Sparsifying Secondary Transform

Darukeesan Pakiyarajah, Samuel Fernández-Menduiña, Eduardo Pavez +2

Data-dependent secondary transforms, which aim to decorrelate coefficients of a separable primary transform, can improve residual coding efficiency; however, their deployment is of…

eess.IV2026

Rate-Distortion Optimization for Ensembles of Non-Reference Metrics

Xin Xiong, Samuel Fernández-Menduiña, Eduardo Pavez +3

Non-reference metrics (NRMs) can assess the visual quality of images and videos without a reference, making them well-suited for the evaluation of user-generated content. Nonethele…

eess.IV2026

Wrapper-Aware Rate-Distortion Optimization in Feature Coding for Machines

Samuel Fernández-Menduiña, Hyomin Choi, Fabien Racapé +2

Feature coding for machines (FCM) is a lossy compression paradigm for split-inference. The transmitter encodes the outputs of the first part of a neural network before sending them…