activity
20192026
collaborators

7 papers

cs.RO2026

Assistant Placement Aria: A Benchmark for Egocentric Placement Assistance

Amir Belder, Gonçalo Dias Pais, Refael Vivanti +5

Human assistance in robotics spans around several tasks such as navigation, object manipulation, and placement, where a key challenge is selecting target destinations that align wi…

cs.CV2025

SurfR: Surface Reconstruction with Multi-scale Attention

Siddhant Ranade, Gonçalo Dias Pais, Ross Tyler Whitaker +3

We propose a fast and accurate surface reconstruction algorithm for unorganized point clouds using an implicit representation. Recent learning methods are either single-object repr…

cs.CV2025

A Probability-guided Sampler for Neural Implicit Surface Rendering

Gonçalo Dias Pais, Valter Piedade, Moitreya Chatterjee +2

Several variants of Neural Radiance Fields (NeRFs) have significantly improved the accuracy of synthesized images and surface reconstruction of 3D scenes/objects. In all of these m…

cs.CV2024

Oriented-grid Encoder for 3D Implicit Representations

Arihant Gaur, G. Dias Pais, Pedro Miraldo

Encoding 3D points is one of the primary steps in learning-based implicit scene representation. Using features that gather information from neighbors with multi-resolution grids ha…

cs.CV2021

InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images

Anoop Cherian, Goncalo Dias Pais, Siddarth Jain +2

In this paper, we present InSeGAN, an unsupervised 3D generative adversarial network (GAN) for segmenting (nearly) identical instances of rigid objects in depth images. Using an an…

cs.CV2019

3DRegNet: A Deep Neural Network for 3D Point Registration

G. Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu +3

We present 3DRegNet, a novel deep learning architecture for the registration of 3D scans. Given a set of 3D point correspondences, we build a deep neural network to address the fol…