research
∙
09/14/2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
In real-world scenarios, typical visual recognition systems could fail u...
share
research
∙
09/05/2023
SAM-Deblur: Let Segment Anything Boost Image Deblurring
Image deblurring is a critical task in the field of image restoration, a...
research
∙
12/08/2022
DDM-NET: End-to-end learning of keypoint feature Detection, Description and Matching for 3D localization
In this paper, we propose an end-to-end framework that jointly learns ke...
research
∙
12/04/2022
Convergence Analysis of Data Augmentation Algorithms for Bayesian Robust Multivariate Linear Regression with Incomplete Data
Gaussian mixtures are commonly used for modeling heavy-tailed error dist...
research
∙
01/03/2022
Implicit Autoencoder for Point Cloud Self-supervised Representation Learning
Many 3D representations (e.g., point clouds) are discrete samples of the...
research
∙
12/01/2021
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning
Purpose: To propose a novel deep learning-based method called RG-Net (re...
research
∙
11/26/2021
Self-supervised Pretraining with Classification Labels for Temporal Activity Detection
Temporal Activity Detection aims to predict activity classes per frame, ...
research
∙
06/07/2021
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
Multi-person pose estimation and tracking serve as crucial steps for vid...
research
∙
05/01/2021
Semi-supervised Long-tailed Recognition using Alternate Sampling
Main challenges in long-tailed recognition come from the imbalanced data...
research
∙
05/01/2021
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition
The problem of long-tailed recognition, where the number of examples per...
research
∙
05/01/2021
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition
The problem of long-tailed recognition, where the number of examples per...
research
∙
03/24/2021
Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas
HDR reconstruction is an important task in computer vision with many ind...
research
∙
05/27/2020
Few-Shot Open-Set Recognition using Meta-Learning
The problem of open-set recognition is considered. While previous approa...
research
∙
11/28/2019
LeRoP: A Learning-Based Modular Robot Photography Framework
We introduce a novel framework for automatic capturing of human portrait...
research
∙
11/17/2019
Any-Precision Deep Neural Networks
We present Any-Precision Deep Neural Networks (Any-Precision DNNs), whic...
research
∙
01/19/2019
Towards Physically Safe Reinforcement Learning under Supervision
This paper addresses the question of how a previously available control ...
research
∙
08/07/2018
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias
While machine learning approaches to visual emotion recognition offer gr...
research
∙
07/30/2018
Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots
We study the problem of learning a navigation policy for a robot to acti...
research
∙
07/17/2018
A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Multi-task learning has been widely adopted in many computer vision task...
research
∙
05/02/2018
Towards Interpretable Face Recognition
Deep CNNs have been pushing the frontier of visual recognition over past...
research
∙
02/24/2018
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation
Deep reinforcement learning (DRL) demonstrates its potential in learning...
research
∙
08/15/2017