Nicu Sebe

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Università di Trento

Professor at University of Trento

SF-UDA^3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection

3D object detectors based only on LiDAR point clouds hold the state-of-t...
10/16/2020 ∙ by Cristiano Saltori, et al. ∙ 0 ∙ share

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Latent World Models For Intrinsically Motivated Exploration

In this work we consider partially observable environments with sparse r...
10/05/2020 ∙ by Aleksandr Ermolov, et al. ∙ 0 ∙ share

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Dual Attention GANs for Semantic Image Synthesis

In this paper, we focus on the semantic image synthesis task that aims a...
08/29/2020 ∙ by Hao Tang, et al. ∙ 22 ∙ share

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DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis

Synthesizing high-resolution realistic images from text descriptions is ...
08/13/2020 ∙ by Ming Tao, et al. ∙ 17 ∙ share

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Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation

Image to image translation aims to learn a mapping that transforms an im...
08/11/2020 ∙ by Raul Gomez, et al. ∙ 2 ∙ share

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Bipartite Graph Reasoning GANs for Person Image Generation

We present a novel Bipartite Graph Reasoning GAN (BiGraphGAN) for the ch...
08/10/2020 ∙ by Hao Tang, et al. ∙ 3 ∙ share

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Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach

Manipulating visual attributes of images through human-written text is a...
08/10/2020 ∙ by Yahui Liu, et al. ∙ 15 ∙ share

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Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild

In this paper we address the problem of unsupervised gaze correction in ...
08/09/2020 ∙ by Jichao Zhang, et al. ∙ 4 ∙ share

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Deep Traffic Sign Detection and Recognition Without Target Domain Real Images

Deep learning has been successfully applied to several problems related ...
07/30/2020 ∙ by Lucas Tabelini, et al. ∙ 0 ∙ share

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XingGAN for Person Image Generation

We propose a novel Generative Adversarial Network (XingGAN or CrossingGA...
07/17/2020 ∙ by Hao Tang, et al. ∙ 11 ∙ share

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Whitening for Self-Supervised Representation Learning

Recent literature on self-supervised learning is based on the contrastiv...
07/13/2020 ∙ by Aleksandr Ermolov, et al. ∙ 0 ∙ share

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When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data

We present a new Deep Dictionary Learning and Coding Network (DDLCN) for...
05/21/2020 ∙ by Hao Tang, et al. ∙ 39 ∙ share

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Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events

Along with the development of the modern smart city, human-centric video...
05/09/2020 ∙ by Weiyao Lin, et al. ∙ 5 ∙ share

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TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation

Most domain adaptation methods consider the problem of transferring know...
04/19/2020 ∙ by Subhankar Roy, et al. ∙ 31 ∙ share

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Speak2Label: Using Domain Knowledge for Creating a Large Scale Driver Gaze Zone Estimation Dataset

Labelling of human behavior analysis data is a complex and time consumin...
04/13/2020 ∙ by Shreya Ghosh, et al. ∙ 19 ∙ share

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OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World

In this paper, we tackle the problem of discovering new classes in unlab...
04/12/2020 ∙ by Zhun Zhong, et al. ∙ 0 ∙ share

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Motion-supervised Co-Part Segmentation

Recent co-part segmentation methods mostly operate in a supervised learn...
04/07/2020 ∙ by Aliaksandr Siarohin, et al. ∙ 1 ∙ share

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MGGR: MultiModal-Guided Gaze Redirection with Coarse-to-Fine Learning

Gaze redirection aims at manipulating a given eye gaze to a desirable di...
04/07/2020 ∙ by Jingjing Chen, et al. ∙ 0 ∙ share

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Binary Neural Networks: A Survey

The binary neural network, largely saving the storage and computation, s...
03/31/2020 ∙ by Haotong Qin, et al. ∙ 22 ∙ share

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Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis

We propose a novel Edge guided Generative Adversarial Network (EdgeGAN) ...
03/31/2020 ∙ by Hao Tang, et al. ∙ 28 ∙ share

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GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling

Unsupervised image-to-image translation (UNIT) aims at learning a mappin...
03/15/2020 ∙ by Yahui Liu, et al. ∙ 0 ∙ share

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First Order Motion Model for Image Animation

Image animation consists of generating a video sequence so that an objec...
02/29/2020 ∙ by Aliaksandr Siarohin, et al. ∙ 0 ∙ share

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Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation

We propose a novel model named Multi-Channel Attention Selection Generat...
02/03/2020 ∙ by Hao Tang, et al. ∙ 10 ∙ share

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Non-linear Neurons with Human-like Apical Dendrite Activations

In order to classify linearly non-separable data, neurons are typically ...
02/02/2020 ∙ by Mariana-Iuliana Georgescu, et al. ∙ 0 ∙ share

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Low-Budget Unsupervised Label Query through Domain Alignment Enforcement

Deep learning revolution happened thanks to the availability of a massiv...
01/01/2020 ∙ by Jurandy Almeida, et al. ∙ 0 ∙ share

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Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

In this paper, we address the task of semantic-guided scene generation. ...
12/27/2019 ∙ by Hao Tang, et al. ∙ 8 ∙ share

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Asymmetric Generative Adversarial Networks for Image-to-Image Translation

State-of-the-art models for unpaired image-to-image translation with Gen...
12/14/2019 ∙ by Hao Tang, et al. ∙ 28 ∙ share

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Unified Generative Adversarial Networks for Controllable Image-to-Image Translation

Controllable image-to-image translation, i.e., transferring an image fro...
12/12/2019 ∙ by Hao Tang, et al. ∙ 32 ∙ share

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AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks

State-of-the-art methods in the unpaired image-to-image translation are ...
11/27/2019 ∙ by Hao Tang, et al. ∙ 52 ∙ share

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Curriculum Self-Paced Learning for Cross-Domain Object Detection

Training (source) domain bias affects state-of-the-art object detectors,...
11/15/2019 ∙ by Petru Soviany, et al. ∙ 0 ∙ share

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Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks

Recent deep monocular depth estimation approaches based on supervised re...
09/17/2019 ∙ by Andrea Pilzer, et al. ∙ 12 ∙ share

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Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation

Inspired by the success of adversarial learning, we propose a new end-to...
08/15/2019 ∙ by Mihai Marian Puscas, et al. ∙ 4 ∙ share

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Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

In this work, we propose a novel Cycle In Cycle Generative Adversarial N...
08/02/2019 ∙ by Hao Tang, et al. ∙ 6 ∙ share

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Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images

Deep learning has been successfully applied to several problems related ...
07/23/2019 ∙ by Lucas Tabelini Torres, et al. ∙ 6 ∙ share

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Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

Deep learning techniques have enabled the emergence of state-of-the-art ...
07/19/2019 ∙ by Vinicius F. Arruda, et al. ∙ 2 ∙ share

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Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps

Recent works have shown Generative Adversarial Networks (GANs) to be par...
07/12/2019 ∙ by Yahui Liu, et al. ∙ 1 ∙ share

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Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation

In this paper, we propose a novel Pattern-Affinitive Propagation (PAP) f...
06/08/2019 ∙ by Zhenyu Zhang, et al. ∙ 0 ∙ share

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GazeCorrection:Self-Guided Eye Manipulation in the wild using Self-Supervised Generative Adversarial Networks

Gaze correction aims to redirect the person's gaze into the camera by ma...
06/03/2019 ∙ by Jichao Zhang, et al. ∙ 0 ∙ share

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What is the relationship between face alignment and facial expression recognition?

Face expression recognition is still a complex task, particularly due to...
05/26/2019 ∙ by Romain Belmonte, et al. ∙ 0 ∙ share

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Regularized Evolutionary Algorithm for Dynamic Neural Topology Search

Designing neural networks for object recognition requires considerable a...
05/15/2019 ∙ by Cristiano Saltori, et al. ∙ 0 ∙ share

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Budget-Aware Adapters for Multi-Domain Learning

Multi-Domain Learning (MDL) refers to the problem of learning a set of m...
05/15/2019 ∙ by Rodrigo Berriel, et al. ∙ 0 ∙ share

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Expression Conditional GAN for Facial Expression-to-Expression Translation

In this paper, we focus on the facial expression translation task and pr...
05/14/2019 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Attention-based Fusion for Multi-source Human Image Generation

We present a generalization of the person-image generation task, in whic...
05/07/2019 ∙ by Stéphane Lathuilière, et al. ∙ 0 ∙ share

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Appearance and Pose-Conditioned Human Image Generation using Deformable GANs

In this paper, we address the problem of generating person images condit...
04/30/2019 ∙ by Aliaksandr Siarohin, et al. ∙ 0 ∙ share

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Online Adaptation through Meta-Learning for Stereo Depth Estimation

In this work, we tackle the problem of online adaptation for stereo dept...
04/17/2019 ∙ by Zhenyu Zhang, et al. ∙ 0 ∙ share

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Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Cross-view image translation is challenging because it involves images w...
04/15/2019 ∙ by Hao Tang, et al. ∙ 36 ∙ share

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Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images

Hashing methods have been recently found very effective in retrieval of ...
04/02/2019 ∙ by Subhankar Roy, et al. ∙ 0 ∙ share

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Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation

The state-of-the-art approaches in Generative Adversarial Networks (GANs...
03/28/2019 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation

Nowadays, the majority of state of the art monocular depth estimation te...
03/11/2019 ∙ by Andrea Pilzer, et al. ∙ 0 ∙ share

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Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss

A classifier trained on a dataset seldom works on other datasets obtaine...
03/07/2019 ∙ by Subhankar Roy, et al. ∙ 0 ∙ share

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Nicu Sebe

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