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Deep Visual Odometry with Events and Frames
Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza
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FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN
Riccardo Santambrogio, Marco Cannici, Matteo Matteucci
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Low-power event-based face detection with asynchronous neuromorphic hardware
Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef
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Mitigating motion blur in neural radiance fields with events and frames
Marco Cannici, Davide Scaramuzza
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Revisiting token pruning for object detection and instance segmentation
Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
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A 5-point minimal solver for event camera relative motion estimation
Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip
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SoftCut: A Fully Differentiable Relaxed Graph Cut Approach for Deep Learning Image Segmentation
Alessio Bonfiglio, Marco Cannici, Matteo Matteucci
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6 DoF Pose Regression via Differentiable Rendering
Andrea Simpsi, Marco Roggerini, Marco Cannici, Matteo Matteucci
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E2 (go) motion: Motion augmented event stream for egocentric action recognition
Chiara Plizzari, Mirco Planamente, Gabriele Goletto, Marco Cannici, Emanuele Gusso, Matteo Matteucci, Barbara Caputo
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Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A*
Recently, the trend of incorporating differentiable algorithms into deep learning architectures arose in machine learning research, as …
Alberto Archetti, Marco Cannici, Matteo Matteucci
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Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A*