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07/14/2023
Dual-Query Multiple Instance Learning for Dynamic Meta-Embedding based Tumor Classification
Whole slide image (WSI) assessment is a challenging and crucial step in ...
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06/30/2023
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations
Following the tracking-by-attention paradigm, this paper introduces an o...
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09/08/2022
Visual Grounding of Inter-lingual Word-Embeddings
Visual grounding of Language aims at enriching textual representations o...
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08/19/2022
Diverse Video Captioning by Adaptive Spatio-temporal Attention
To generate proper captions for videos, the inference needs to identify ...
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06/30/2022
Visual grounding of abstract and concrete words: A response to Günther et al. (2020)
Current computational models capturing words' meaning mostly rely on tex...
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06/17/2022
Language with Vision: a Study on Grounded Word and Sentence Embeddings
Language grounding to vision is an active field of research aiming to en...
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05/31/2022
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
Inverse rendering of an object under entirely unknown capture conditions...
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04/05/2022
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
Providing explanations in the context of Visual Question Answering (VQA)...
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10/27/2021
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Decomposing a scene into its shape, reflectance and illumination is a fu...
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04/15/2021
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddingsvia Multi-Task Training
Language grounding aims at linking the symbolic representation of langua...
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12/07/2020
NeRD: Neural Reflectance Decomposition from Image Collections
Decomposing a scene into its shape, reflectance, and illumination is a c...
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09/21/2020
Hidden Latent State Inference in a Spatio-Temporal Generative Model
Knowledge of the hidden factors that determine particular system dynamic...
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09/19/2020
Inferring, Predicting, and Denoising Causal Wave Dynamics
The novel DISTributed Artificial neural Network Architecture (DISTANA) i...
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04/01/2020
Two-shot Spatially-varying BRDF and Shape Estimation
Capturing the shape and spatially-varying appearance (SVBRDF) of an obje...
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12/23/2019
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction
We introduce a distributed spatio-temporal artificial neural network arc...
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12/02/2019
GGNN: Graph-based GPU Nearest Neighbor Search
Approximate nearest neighbor (ANN) search in high dimensions is an integ...
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10/11/2019
Single Image BRDF Parameter Estimation with a Conditional Adversarial Network
Creating plausible surfaces is an essential component in achieving a hig...
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03/20/2018
Flex-Convolution (Deep Learning Beyond Grid-Worlds)
The goal of this work is to enable deep neural networks to learn represe...
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08/14/2017
Learning Blind Motion Deblurring
As handheld video cameras are now commonplace and available in every sma...
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02/08/2017
Backpropagation Training for Fisher Vectors within Neural Networks
Fisher-Vectors (FV) encode higher-order statistics of a set of multiple ...
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11/16/2016
Will People Like Your Image? Learning the Aesthetic Space
Rating how aesthetically pleasing an image appears is a highly complex m...
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10/19/2016
Learning Robust Video Synchronization without Annotations
Aligning video sequences is a fundamental yet still unsolved component f...
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09/20/2016
Transfer Learning for Material Classification using Convolutional Networks
Material classification in natural settings is a challenge due to comple...
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05/31/2016
Robust Deep-Learning-Based Road-Prediction for Augmented Reality Navigation Systems
This paper proposes an approach that predicts the road course from camer...
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04/08/2016