research
∙
07/16/2023
DocTr: Document Transformer for Structured Information Extraction in Documents
We present a new formulation for structured information extraction (SIE)...
share
research
∙
06/04/2023
rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement
Remote photoplethysmography (rPPG) is an important technique for perceiv...
research
∙
02/14/2023
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation
In this work, instead of directly predicting the pixel-level segmentatio...
research
∙
03/29/2022
Light Field Depth Estimation Based on Stitched-EPI
Depth estimation is one of the most essential problems for light field a...
research
∙
06/19/2021
Humble Teachers Teach Better Students for Semi-Supervised Object Detection
We propose a semi-supervised approach for contemporary object detectors ...
research
∙
06/16/2021
Dynamically Grown Generative Adversarial Networks
Recent work introduced progressive network growing as a promising way to...
research
∙
05/05/2021
Visual Composite Set Detection Using Part-and-Sum Transformers
Computer vision applications such as visual relationship detection and h...
research
∙
11/17/2020
Efficient and Effective Community Search on Large-scale Bipartite Graphs
Bipartite graphs are widely used to model relationships between two type...
research
∙
10/07/2020
Computational analysis of pathological image enables interpretable prediction for microsatellite instability
Microsatellite instability (MSI) is associated with several tumor types ...
research
∙
08/27/2020
Visual Question Answering on Image Sets
We introduce the task of Image-Set Visual Question Answering (ISVQA), wh...
research
∙
04/12/2018
Unsupervised Discovery of Object Landmarks as Structural Representations
Deep neural networks can model images with rich latent representations, ...
research
∙
04/02/2018
Hierarchical Novelty Detection for Visual Object Recognition
Deep neural networks have achieved impressive success in large-scale vis...
research
∙
05/24/2017
Towards Understanding the Invertibility of Convolutional Neural Networks
Several recent works have empirically observed that Convolutional Neural...
research
∙
04/12/2017
Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries
Associating image regions with text queries has been recently explored a...
research
∙
06/21/2016
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
Unsupervised learning and supervised learning are key research topics in...
research
∙
04/13/2015
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
Object detection systems based on the deep convolutional neural network ...
research
∙
01/20/2015
