Seidenari, Lorenzo
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1

Addressing Limitations of State-Aware Imitation Learning fo..:

Cultrera, Luca ; Becattini, Federico ; Seidenari, Lorenzo..
IEEE Transactions on Intelligent Vehicles.  9 (2024)  1 - p. 2946-2955 , 2024
 
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2

Deep Variational Learning for 360° Adaptive Streaming:

Guimard, Quentin ; Sassatelli, Lucile ; Marchetti, Francesco...
ACM Transactions on Multimedia Computing, Communications, and Applications.  , 2024
 
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3

Deepfake Detection by Exploiting Surface Anomalies: The Sur..:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW),
 
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5

SMEMO: Social Memory for Trajectory Forecasting:

Marchetti, Francesco ; Becattini, Federico ; Seidenari, Lorenzo.
IEEE Transactions on Pattern Analysis and Machine Intelligence.  46 (2024)  6 - p. 4410-4425 , 2024
 
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6

Relation Networks for Few-Shot Video Object Detection:

, In: Pattern Recognition and Image Analysis; Lecture Notes in Computer Science,
 
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8

Downsampling GAN for Small Object Data Augmentation:

, In: Computer Analysis of Images and Patterns; Lecture Notes in Computer Science,
 
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9

Leveraging Visual Attention for out-of-distribution Detecti..:

, In: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW),
 
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10

DiffDefense: Defending Against Adversarial Attacks via Diff..:

, In: Image Analysis and Processing – ICIAP 2023; Lecture Notes in Computer Science,
 
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11

Camtrap DP: an open standard for the FAIR exchange and arch..:

Bubnicki, Jakub W. ; Norton, Ben ; Baskauf, Steven J....
Remote Sensing in Ecology and Conservation.  10 (2023)  3 - p. 283-295 , 2023
 
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13

Multiple Trajectory Prediction of Moving Agents With Memory..:

Marchetti, Francesco ; Becattini, Federico ; Seidenari, Lorenzo.
IEEE Transactions on Pattern Analysis and Machine Intelligence.  45 (2023)  6 - p. 6688-6702 , 2023
 
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14

Explainable Sparse Attention for Memory-Based Trajectory Pr..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022 Workshops,
 
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15

Fast and effective AI approaches for video quality improvem..:

, In: Proceedings of the 1st Mile-High Video Conference,
 
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