1.4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of North Carolina at Chapel HillUS2 papers
- Beijing Institute of TechnologyCN1 paper
- Bellevue CollegeUS1 paper
- Carnegie Mellon UniversityUS1 paper
- Electronics and Telecommunications Research InstituteKR1 paper
- Google (United States)US1 paper
- Indian Institute of Technology GandhinagarIN1 paper
- International Isotopes (United States)US1 paper
- Meta (Israel)IL1 paper
- Silicon Works (South Korea)KR1 paper
- Universidade Estadual de Campinas (UNICAMP)BR1 paper
- Université Côte d'AzurFR1 paper
10 papers · 1 filter
HRDNet: High-resolution Detection Network for Small Objects
Ziming Liu, Guangyu Gao, Lin Sun +1
Small object detection is challenging because small objects do not contain detailed information and may even disappear in the deep network. Usually, feeding high-resolution images…
An Efficient Planar Bundle Adjustment Algorithm
Lipu Zhou, Daniel Koppel, Hui Ju +2
This paper presents an efficient algorithm for the least-squares problem using the point-to-plane cost, which aims to jointly optimize depth sensor poses and plane parameters for 3…
Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes
Ameya Phalak, Vijay Badrinarayanan, Andrew Rabinovich
We introduce Scan2Plan, a novel approach for accurate estimation of a floorplan from a 3D scan of the structural elements of indoor environments. The proposed method incorporates a…
Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices
Prajwal Chidananda, Ayan Sinha, Adithya Rao +2
2D Key-point estimation is an important precursor to 3D pose estimation problems for human body and hands. In this work, we discuss the data, architecture, and training procedure n…
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding
Zhengyang Wu, Srivignesh Rajendran, Tarrence van As +3
Eye gaze estimation and simultaneous semantic understanding of a user through eye images is a crucial component in Virtual and Mixed Reality; enabling energy efficient rendering, m…
DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences
Ameya Phalak, Zhao Chen, Darvin Yi +3
We present DeepPerimeter, a deep learning based pipeline for inferring a full indoor perimeter (i.e. exterior boundary map) from a sequence of posed RGB images. Our method relies o…
Estimating Depth from RGB and Sparse Sensing
Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov +1
We present a deep model that can accurately produce dense depth maps given an RGB image with known depth at a very sparse set of pixels. The model works simultaneously for both ind…
Deep Image Homography Estimation
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
We present a deep convolutional neural network for estimating the relative homography between a pair of images. Our feed-forward network has 10 layers, takes two stacked grayscale…
ParseNet: Looking Wider to See Better
Wei Liu, Andrew Rabinovich, Alexander C. Berg
We present a technique for adding global context to deep convolutional networks for semantic segmentation. The approach is simple, using the average feature for a layer to augment…
Going Deeper with Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia +6
We propose a deep convolutional neural network architecture codenamed "Inception", which was responsible for setting the new state of the art for classification and detection in th…