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20192026
most citedLearning to Orient Surfaces by Self-supervised Spherical CNNs

9 citations · 12 across the 16 of their papers we have counts for

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27 papers · 1 filter

cs.CV2026

How to Evaluate and Refine your CAM

Luca Domeniconi, Alessandra Stramiglio, Michele Lombardi +1

Class attribution maps (CAMs) provide local explanations for the decisions of convolutional neural networks. While widely used in practice, the evaluation of CAMs remains challengi…

cs.CV2026

NVS-HO: A Benchmark for Novel View Synthesis of Handheld Objects

Musawar Ali, Manuel Carranza-García, Nicola Fioraio +2

We propose NVS-HO, the first benchmark designed for novel view synthesis of handheld objects in real-world environments using only RGB inputs. Each object is recorded in two comple…

cs.CV2025

Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing

Adrian Poniatowski, Natalie Gentner, Manuel Barusco +3

In the semiconductor sector, due to high demand but also strong and increasing competition, time to market and quality are key factors in securing significant market share in vario…

cs.CV2025

NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces

Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano +36

This paper reports on the NTIRE 2025 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhanc…

cs.CV2025

Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training

Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti +2

Recent advances in Multimodal Large Language Models (MLLMs) have shown remarkable capabilities in understanding both images and 3D data, yet these modalities face inherent limitati…

cs.CV2025

RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation

Henrique Piñeiro Monteagudo, Leonardo Taccari, Aurel Pjetri +2

Bird's Eye View (BEV) semantic maps have recently garnered a lot of attention as a useful representation of the environment to tackle assisted and autonomous driving tasks. However…