Luca Benini

Computer Vision and Pattern Recognition · 2000–2022

A researcher in the Science corpus: 42 papers; trusts 866 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Computer Vision and Pattern Recognition — 350 citations into it; #8,004 of 21,575 by trust here, #4,372 by citations
Artificial Intelligence — 243 citations into it; #25,911 of 35,345 by trust here, #15,866 by citations
Electrical and Electronic Engineering — 125 citations into it; #931 of 16,539 by trust here, #3,052 by citations
Efficiency & Compression — 80 citations into it; #800 of 1,264 by trust here, #644 by citations
Hardware and Architecture — 64 citations into it; #92 of 1,551 by trust here, #153 by citations
Computer Networks and Communications — 59 citations into it; #1,265 of 9,886 by trust here, #1,023 by citations
Model Architectures — 58 citations into it
Optimization & Training — 51 citations into it

Whom Luca Benini trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Luca Benini overall

Papers from Luca Benini's perspective

Ordered by how strongly the researchers Luca Benini trusts endorse each paper. Same corpus, a different order for every researcher.

ImageNet classification with deep convolutional neural networks
Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Gradient-based learning applied to document recognition
ImageNet: A large-scale hierarchical image database
Long Short-Term Memory
Attention is All you Need (Neural Information Processing Systems)
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Going deeper with convolutions
ImageNet Large Scale Visual Recognition Challenge

Their papers

Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations (2017) — 535 citations
CAS-CNN: A deep convolutional neural network for image compression artifact suppression (2016) — 216 citations
Constrained Few-shot Class-incremental Learning (2022) — 204 citations
YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration (2016) — 218 citations
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers (2019) — 95 citations
Origami: A Convolutional Network Accelerator (2015) — 157 citations
Networks on Chips: A New SoC Paradigm (2002) — 4,067 citations
Robust high-dimensional memory-augmented neural networks (2020) — 123 citations
In-memory hyperdimensional computing (2019) — 305 citations
Analysis of power consumption on switch fabrics in network routers (2002) — 484 citations
Modeling and Optimization of a Solar Energy Harvester System for Self-Powered Wireless Sensor Networks (2008) — 371 citations
Smart Energy-Efficient Clock Synthesizer for Duty-Cycled Sensor SoCs in 65 nm/28nm CMOS (2017) — 16 citations
Enabling the heterogeneous accelerator model on ultra-low power microcontroller platforms (2016) — 24 citations
A near-threshold RISC-V core with DSP extensions for scalable IoT Endpoint Devices (2016) — 409 citations
Extending the Lifetime of Nano-Blimps via Dynamic Motor Control (2018) — 21 citations
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics (2016) — 122 citations
Brain-Inspired Classroom Occupancy Monitoring on a Low-Power Mobile Platform (2014) — 34 citations
A survey of design techniques for system-level dynamic power management (2000) — 1,347 citations
A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones (2018) — 173 citations
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets (2018) — 73 citations